NOVEL INSIGHTS IN ADVANCED THYROID CARCINOMA: FROM MECHANISMS TO TREATMENTS: Molecular insights into the origin, biology, and treatment of anaplastic thyroid carcinoma

in European Thyroid Journal
Authors:
Amir Hossein Karimi Department of Otolaryngology – Head & Neck Surgery, Western University, London, Ontario, Canada
Department of Pathology and Laboratory Medicine, Western University, London, Ontario, Canada

Search for other papers by Amir Hossein Karimi in
Current site
Google Scholar
PubMed
Close
,
Peter YF Zeng Department of Otolaryngology – Head & Neck Surgery, Western University, London, Ontario, Canada
Department of Pathology and Laboratory Medicine, Western University, London, Ontario, Canada

Search for other papers by Peter YF Zeng in
Current site
Google Scholar
PubMed
Close
,
Matthew Cecchini Department of Pathology and Laboratory Medicine, Western University, London, Ontario, Canada

Search for other papers by Matthew Cecchini in
Current site
Google Scholar
PubMed
Close
,
John W Barrett Department of Otolaryngology – Head & Neck Surgery, Western University, London, Ontario, Canada
Department of Oncology, Western University, London, Ontario, Canada

Search for other papers by John W Barrett in
Current site
Google Scholar
PubMed
Close
,
Harrison Pan Department of Otolaryngology – Head & Neck Surgery, Western University, London, Ontario, Canada
Department of Pathology and Laboratory Medicine, Western University, London, Ontario, Canada

Search for other papers by Harrison Pan in
Current site
Google Scholar
PubMed
Close
,
Shengjie Ying Department of Otolaryngology – Head & Neck Surgery, Western University, London, Ontario, Canada
Department of Pathology and Laboratory Medicine, Western University, London, Ontario, Canada

Search for other papers by Shengjie Ying in
Current site
Google Scholar
PubMed
Close
,
Nhi Le Department of Otolaryngology – Head & Neck Surgery, Western University, London, Ontario, Canada
Department of Pathology and Laboratory Medicine, Western University, London, Ontario, Canada

Search for other papers by Nhi Le in
Current site
Google Scholar
PubMed
Close
,
Joe S Mymryk Department of Otolaryngology – Head & Neck Surgery, Western University, London, Ontario, Canada
Department of Oncology, Western University, London, Ontario, Canada
Department of Microbiology & Immunology, Western University, London, Ontario, Canada

Search for other papers by Joe S Mymryk in
Current site
Google Scholar
PubMed
Close
,
Laurie E Ailles Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada

Search for other papers by Laurie E Ailles in
Current site
Google Scholar
PubMed
Close
, and
Anthony C Nichols Department of Otolaryngology – Head & Neck Surgery, Western University, London, Ontario, Canada
Department of Oncology, Western University, London, Ontario, Canada

Search for other papers by Anthony C Nichols in
Current site
Google Scholar
PubMed
Close
https://orcid.org/0000-0002-0760-980X

Correspondence should be addressed to A C Nichols: Anthony.Nichols@lhsc.on.ca

This article forms part of a special collection titled ‘Novel Insights in Advanced Thyroid Carcinoma: From Mechanisms to Treatments’. The editors of this collection are Dr Iñigo Landa (Group Leader, Institut Gustave Roussy in Villejuif, Grand Paris, France), Professor Iwao Sugitani (Graduate School Professor & Chairman, Department of Endocrine Surgery, Nippon Medical School, Tokyo, Japan) and Professor Efisio Puxeddu (Associate Professor of Endocrinology, Department of Medicine and Surgery, University of Perugia, Italy).

Open access

Sign up for journal news

Anaplastic thyroid carcinoma (ATC) is among the most daunting entities in clinical oncology. Large-scale genomic studies of thyroid cancer within the last decade have uncovered a distinct set of recurrent somatic alterations implicated in the development, aggressiveness, and treatment resistance of ATC. The sequence of events leading to the development of ATC commonly begins with a tumorigenic mutation that constitutively activates the mitogen-activated protein kinase (MAPK) pathway, giving rise to indolent entities such as well-differentiated papillary or follicular thyroid carcinomas. This is followed by recurring alterations that drive oncogenic properties such as enhanced proliferation, genomic instability, replicative immortality, and dedifferentiation, culminating in the emergence of highly aggressive ATC tumors. The truncal MAPK-activating events present therapeutic opportunities, as small molecule inhibitors against key components of this pathway are available. Indeed, genotype-guided targeting of the MAPK pathway is now the standard of care for subgroups of ATC patients, and further efforts exploring additional MAPK inhibitors and the combination of immune checkpoint blockade with MAPK inhibition are overcoming resistance to the current targeted therapies in the clinic and expanding our arsenal against this disease. In this review, we summarize the current understanding of the genomic landscape of ATC, discuss the biological and clinical ramifications of recurring aberrations, and provide an overview of the opportunities and challenges in the clinical management of this lethal malignancy.

Abstract

Anaplastic thyroid carcinoma (ATC) is among the most daunting entities in clinical oncology. Large-scale genomic studies of thyroid cancer within the last decade have uncovered a distinct set of recurrent somatic alterations implicated in the development, aggressiveness, and treatment resistance of ATC. The sequence of events leading to the development of ATC commonly begins with a tumorigenic mutation that constitutively activates the mitogen-activated protein kinase (MAPK) pathway, giving rise to indolent entities such as well-differentiated papillary or follicular thyroid carcinomas. This is followed by recurring alterations that drive oncogenic properties such as enhanced proliferation, genomic instability, replicative immortality, and dedifferentiation, culminating in the emergence of highly aggressive ATC tumors. The truncal MAPK-activating events present therapeutic opportunities, as small molecule inhibitors against key components of this pathway are available. Indeed, genotype-guided targeting of the MAPK pathway is now the standard of care for subgroups of ATC patients, and further efforts exploring additional MAPK inhibitors and the combination of immune checkpoint blockade with MAPK inhibition are overcoming resistance to the current targeted therapies in the clinic and expanding our arsenal against this disease. In this review, we summarize the current understanding of the genomic landscape of ATC, discuss the biological and clinical ramifications of recurring aberrations, and provide an overview of the opportunities and challenges in the clinical management of this lethal malignancy.

Introduction

Anaplastic thyroid carcinoma (ATC) is one of the most lethal and clinically challenging human malignancies. Patients with ATC often present with explosive tumor growth and extensive local invasion leading to airway and esophageal obstruction (1). Effective clinical management of ATC is hindered by its poor response rates to radioactive iodine, radiation, and chemotherapy. Complete or near-complete surgical resection of the tumor, followed by radiotherapy with or without chemotherapy, represents the standard of care for ATC patients with locoregionally confined resectable tumors and may prolong survival in carefully selected cases (1). However, this is rarely feasible, given the frequent invasion of the trachea, esophagus, and carotid sheath by the nonmetastatic tumors and the presence of distant metastases at diagnosis in half of the patients (2). Consequently, there is a striking difference in patient outcomes between ATC and well-differentiated thyroid cancer (WDTC, including papillary and follicular thyroid cancer): while WDTC tumors are some of the most indolent malignancies, so much so that overtreatment of these tumors is a cause for concern (3), ATC has a historical median overall survival of less than 6 months (4, 5).

However, the last decade has witnessed substantial improvements in the survival rates of ATC patients, with an impressive 50% reduction in the hazard of death at any given time when comparing patients treated between 2017–2019 and 2000–2013 (6). Moreover, a recent clinical trial reported an unprecedented median overall survival of 43 months in a subset of cases (7). These improvements are largely due to investigational efforts uncovering the molecular underpinnings of ATC, enabling the implementation of targeted therapies and informing the continued refinement of the standard of care.

Recently, the results of the global ATC initiative (GATCI), spearheaded by our team, have been published (8). Through this large-scale effort spanning 15 centers, the genomic profiles of 329 thyroid cancer regions were characterized with multiple platforms, further contributing to the body of research over the past decade that has advanced our understanding of aggressive thyroid tumors (8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24). Herein, we provide an overview of the current insights into the molecular landscape of ATC. We review the primary genomic dysregulations in ATC, discuss their biological and clinical implications, and offer an outline of the major frontiers in the clinical management of this aggressive disease.

Moderately complex yet clinically devastating: the genomic landscape of ATC

Despite its aggressive characteristics and lethality, the genomic complexity of ATC remains modest. While it has a higher single nucleotide variant (SNV) and copy number alteration (CNA) burden compared to WDTC (8, 9, 13), ATC on average harbors 3.8 SNVs/Mb and 120 CNAs and occupies a low-to-moderate position on the spectrum of genomic alteration burden across different cancer types (Fig. 1A) (8). Moreover, the majority of ATC tumors harbor highly recurrent alterations (8, 9, 10, 11, 12, 13), further reducing the complexity of the genomic landscape of ATC. The relatively low genetic complexity of ATC streamlines the identification of oncogenic alterations driving the disease. This also bears clinical implications, as it facilitates the development of prognostic/predictive patient stratification criteria, supports rapid testing at the time of diagnosis, and warrants concentrated efforts to develop effective precision interventions with widespread clinical applicability.

Figure 1
Figure 1

Moderate alteration burden and the stepwise evolution of ATC. (A) The comparison of the genomic alteration burden of tumors shows that, while ATC tumors exhibit higher alteration burdens compared to papillary thyroid cancer, they occupy a low-to-moderate position across the different cancer types (the lollipops solely show the increasing order of the alteration burdens of different cancer types and do not represent actual values). (B) A sequential acquisition of alterations drives the transformation of thyrocytes to ATC. This process is commonly initiated with an alteration constitutively activating the MAPK pathway, giving rise to premalignant or malignant entities with high levels of differentiation and indolent characteristics. This is followed by additional alterations that lead to further dedifferentiation of cells and the acquisition of aggressive traits. Consistent with this model, genomic features of well-differentiated thyroid tumors are also observed in the advanced tumors, reflecting their origin as a truncal event. In contrast, alterations driving the progression of the disease are rare and subclonal in well-differentiated tumors and become enriched in the advanced disease. Moreover, a co-occurring differentiated thyroid cancer (co-DTC) is frequently observed in ATC, consistent with a branching evolution during the development of the disease. The clonal separation of these two components can hypothetically occur at any stage of the disease progression. Representative high-power field images show ATC and co-DTC components of the same tumor. Genomic characterization of the co-occurring DTCs in the GATCI cohort indicated that co-DTC tracks with the advanced forms of thyroid cancer, and the common ancestor harbored ∼95% of CNAs and ∼20% of SNVs in the two components. The lengths of the lines in the depicted phylogenetic tree are hypothetical, as sufficient data to accurately estimate the average evolutionary distance of the different components is not available. The data and plots for this figure are adapted from (8). Mbp, megabase pair; PGA, percentage of genome altered; DDR, DNA damage response.

Citation: European Thyroid Journal 14, 3; 10.1530/ETJ-25-0057

Molecular evidence in thyroid cancer to date strongly supports a model where a stepwise acquisition of alterations drives the progression of the disease, advancing from highly indolent WDTCs to extremely aggressive ATC tumors (Fig. 1B) (25). This malignant transformation of thyrocytes is primarily initiated by the constitutive activation of the mitogen-activated protein kinase (MAPK) pathway, with additional recurring alterations such as loss of p53 and activation of TERT and the PI3K/AKT pathway promoting more aggressive and less differentiated thyroid cancer. Supporting this model, genomic studies consistently indicate that the advanced forms of thyroid cancer share the genomic features of WDTC but are also enriched with additional alterations that potentially contribute to disease progression (8, 9, 10, 11, 12, 13, 14, 15). This was illustrated in the comparison of ATC and WDTC tumors in the GATCI cohort, where ATC tumors recapitulated the characteristic features of WDTC (including the truncal MAPK-activating alterations as well as recurrent focal and arm-level CNAs such as 1q amplification and 22q deletion) while also harboring numerous recurrent SNVs and CNAs not commonly seen in well-differentiated tumors (8). Several of the mutations associated with the progression of the disease (e.g., mutations in TP53 and members of the PI3K/AKT pathway) also exhibit a clear pattern of stepwise increase in prevalence as the tumors become more aggressive, being rare in PTC, more frequent in poorly differentiated thyroid cancer (PDTC), and most common in ATC (25). Furthermore, a co-occurring differentiated thyroid cancer (DTC, including WDTC and PDTC) component is observed in 20–50% of ATC tumors (12, 14, 15, 18), suggestive of a branching evolution during the course of disease progression (Fig. 1B). Subclonal reconstruction of the paired ATC and co-occurring DTC from nine patients in the GATCI cohort showed significant overlap between the alterations in these components in all cases and confirmed their shared evolutionary origin (8). The shared genomic alterations were particularly striking when evaluating CNAs, where the two components presented about 95% overlap (Fig. 1B) (8). Paired with mechanistic investigations in genetically engineered mouse models showing the progression of tumors to PDTC and ATC when MAPK-activating alterations are combined with additional alterations enriched in advanced tumors (22, 23, 24), these findings overall solidify the framework that the sequential acquisition of oncogenic alterations drives the advancement to ATC.

The subsequent sections highlight the frequent genomic alterations in ATC and examine their biological and clinical ramifications, starting with the tumorigenic MAPK-activating alterations and continuing with the aberrations enriched in the advanced disease. Given the modest sample size of most ATC genomics studies and the commonly low tumor purity of ATCs, which raises technical difficulties in the accurate estimation of the alteration rates, the median along with the interquartile range (IQR, expressed as Q1–Q3) of the alteration rates is reported for the relevant genes detailed throughout this review.

MAPK pathway

The canonical MAPK pathway is a highly conserved kinase cascade that adjusts the molecular circuits within the cells in response to extracellular cues (Fig. 2). This pathway regulates diverse cellular processes, including proliferation and migration (26). MAPK signaling is frequently exploited during tumorigenesis, where its upregulated activity contributes to excessive growth rates, enhances the anti-apoptotic response, and increases the invasiveness of malignant cells (27). It is also thought to contribute to tumor growth by modulating the interaction of the tumor and immune system, at least partially through enhancing immune evasion by downregulating the major histocompatibility complex class 1 gene expression (28).

Figure 2
Figure 2

Key components of MAPK and PI3K/AKT pathways in ATC. The canonical MAPK pathway is initiated by the RTKs binding to their ligands. This binding induces dimerization and activation of the RTKs which, in turn, recruit the guanine nucleotide exchange factor (GEF) SOS and promote the exchange of GDP for GTP on RAS, thereby activating it. Subsequently, RAS induces the dimerization and activation of RAF proteins. This is followed by sequential phosphorylation and activation of MEK and ERK. ERK then mediates the downstream functions of the pathway by interacting with a multitude of effectors. ERK also participates in the negative regulation of MAPK signaling through direct interaction with the members of the pathway, as well as upregulation of negative regulators of MAPK signaling. PI3K is activated downstream of both RTKs and GPCRs. PI3K catalyzes the transfer of a phosphate group to phosphatidylinositol 4,5-bisphosphate (PIP2), converting it to phosphatidylinositol 3,4,5-trisphosphate (PIP3). PIP3 then induces the activation of AKT. Activation of AKT leads to derepression and activation of the mTOR complex 1 (mTORC1; presented as mTOR interacting with RAPTOR). AKT and mTORC1 are the primary nodes orchestrating the diverse functions of the PI3K/AKT pathway by interacting with numerous effectors. The rates of mutations in selected genes in ATC shown on the plots are derived from references (8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20).

Citation: European Thyroid Journal 14, 3; 10.1530/ETJ-25-0057

Genomic studies have shown that about 60–80% of ATC tumors harbor genomic alterations in the members of the MAPK pathway (8, 9, 10, 11, 12, 13, 14, 15, 16). These alterations mostly lead to constitutive activation of the MAPK pathway in thyroid follicular cells. In addition to enhancing the invasiveness and proliferation rates, elevated MAPK signaling in thyrocytes is associated with a regression in the tissue-specific cell state (29). This is likely due to the downregulation of thyroid differentiation genes as a consequence of ERK-induced disruption of the thyroid-stimulating hormone (TSH) signaling (30). Moreover, similar to melanoma, the activation of the MAPK pathway in thyrocytes is thought to enhance immune evasion (31) and contribute to an immunosuppressive microenvironment characterized by infiltration of pro-tumorigenic tumor-associated macrophages and myeloid-derived suppressor cells (32, 33, 34). Tumor-associated macrophages are, in particular, strongly implicated in the progression and aggressiveness of thyroid cancer, with ATC tumors exhibiting a distinctly heavy infiltration by these cells (34, 35, 36, 37). Although insufficient to fully sustain the progression to ATC in isolation (21, 38, 39), upregulated MAPK activity in thyroid follicular cells is a critical initiating step in ATC transformation (Fig. 1B).

Recurring mutually exclusive mutations in BRAF and RAS genes constitute the majority of the MAPK-activating alterations in ATC and are observed in 37.6% (IQR: 25.5–42.5%) and 26.6% (IQR: 23.4–29.4%) of cases (Fig. 2) (8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20). The most prevalent alteration in BRAF is the BRAFV600E mutation: the conformational changes caused by the substitution of a valine residue with the negatively charged phosphomimetic glutamic acid in the activation loop of the protein render BRAF constitutively active and allow it to signal as a monomer (40, 41). In addition to having critical clinical implications (discussed later in this review), the monomeric signaling by BRAFV600E has important biological consequences. In normal cells, the MAPK signal is relayed through RAS-induced RAF dimers (42), which are subject to negative feedback by ERK (Fig. 2). Activation of the signaling through RAF dimers is also the oncogenic mechanism of almost all other characterized MAPK-activating alterations, including alterations in BRAF that do not lead to the substitution of the V600 (41). However, the RAS-independent monomeric signaling by BRAFV600E appears insensitive to the negative feedback by ERK and therefore can lead to a comparatively higher MAPK output, exhibiting a more potent transforming capacity (21, 38, 39, 43, 44, 45). Among the three RAS isoforms, mutations in NRAS are more prevalent than HRAS and KRAS in ATC and constitute 64.4% (IQR: 52.8–70.7%) of all RAS mutations (8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20). These mutations almost exclusively involve disruption of the GTPase activity of NRAS through alteration of codon Q61, locking NRAS in its active state.

Among the other notable alterations in the MAPK pathway are recurrent NF1 alterations in 9.7% (IQR: 7.6–12.8%) of cases (8, 10, 11, 12, 13, 14, 15, 16) and rare alterations and fusions involving receptor tyrosine kinases (RTKs) (9, 10, 12, 18, 19). Neurofibromin, a GTPase-activating protein encoded by NF1, stimulates the GTP hydrolysis by RAS and its reversion to the GDP-bound inactive state (Fig. 2) (46). Loss of NF1 can therefore prolong the maintenance of the active state of RAS and heighten the MAPK output. Notably, alterations in NF1 are enriched in ATC (8, 10), and, as shown in the GATCI cohort, copy number loss of NF1 is frequent in these tumors (8). Interestingly, loss of neurofibromin is also associated with the disruption of adenylyl cyclase activity (47), which can potentially dysregulate TSH signaling, but whether this is through upregulated ERK activity or another mechanism is currently unknown. RTK fusions in ATC include RET fusions (12, 19), NTRK fusions (10, 12), and ALK fusions (18, 48, 49). The oncogenic activity of these fusions is generally through upregulation of the expression of RTKs, as well as the fusion partner-driven enhanced oligomerization leading to the constitutive activity of the kinase domains of the chimeric proteins independent of the extracellular signals (50).

As expected, the primary MAPK-activating alteration in DTC dictates the magnitude of MAPK upregulation, with tumors harboring BRAFV600E displaying comparatively higher MAPK activity due to differential responsiveness to the negative feedback by ERK (9, 25, 51). Moreover, there is an inverse association between the intensity of the MAPK output and the differentiation state of the tissue in these tumors (9, 25, 51). Interestingly, these associations seem to be lost in ATC, where there is ubiquitously high MAPK activity and no apparent positive association between the intensity of the MAPK output and differentiation (9). Together, these suggest the contribution of additional mechanisms to the elevated MAPK signaling and dedifferentiation in ATC.

PI3K/AKT pathway

PI3K/AKT is another pathway commonly co-opted during tumorigenesis and cancer progression (52). Operating alongside one another in mediating key processes such as proliferation, survival, and migration in response to extracellular signals (Fig. 2), the PI3K/AKT and MAPK pathways present substantial convergence on their downstream effectors and influence each other through a context-dependent crosstalk that remains incompletely understood (53). Beyond their convergence on the downstream functions and targets, two nodes in the MAPK pathway are known to positively regulate the PI3K/AKT pathway: active GTP-bound RAS can bind and cross-activate PI3K, and activated ERK functions similarly to AKT in activating the mTOR complex 1 (Fig. 2).

Alterations in the members of the PI3K/AKT pathway in thyroid cancer can co-occur with MAPK-activating alterations and are enriched in the aggressive forms of the disease, with about 20–40% of ATC cases harboring such alterations (8, 9, 10, 11, 12, 13, 14, 15). Upregulation of the PI3K/AKT pathway in ATC commonly occurs through activating mutations in PIK3CA (encoding the p110α catalytic subunit of PI3K; altered in 12.9% (IQR: 11.1–18%) of cases), AKT1 (altered in 4% (IQR: 1–5.7%) of cases), and MTOR (altered in 3.4% (IQR: 1.4–6%) of cases) (8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19, 20). Loss-of-function (LOF) alterations in PTEN (altered in 8.5% (IQR: 7.4–14%) of cases), which encodes the primary inhibitor of the pathway, can also lead to elevated PI3K/AKT activity. In accordance with the close association of the two pathways, the alterations in the members of the PI3K/AKT pathway exhibit specific patterns of co-occurrence with MAPK-activating mutations present in tumors. Specifically, genomic aberrations of PIK3CA and AKT1 tend to co-occur with BRAF mutations, while PTEN alterations mostly co-occur with NF1 alterations in ATC (8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20). Importantly, functional studies in both human isogenic cell lines and genetically engineered mouse models have confirmed the association of the co-occurrence of PIK3CA and BRAFV600E mutations with thyrocyte dedifferentiation, aggressiveness, and progression to ATC (24, 54).

Cell cycle and DNA damage response pathways

The most extensively characterized alteration in this category in ATC is the loss of p53. Along with the activation of TERT, alterations in TP53 constitute the most prevalent alterations in ATC and are observed in 57% (IQR: 49.6–63.4%) of tumors (8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20). In stark contrast, TP53 alterations are seen in less than 1% of well-differentiated papillary thyroid cancer cases (51), and while they present a higher rate of occurrence in advanced forms of DTC such as PDTC, they are uniquely prevalent in ATC (25). Extensive functional investigations have shown that the loss of p53 cooperates with MAPK-activating alterations to promote the development of ATC (22, 55, 56, 57, 58). Mechanistically, loss of p53 lifts constraints on the accumulation of genomic aberrations and promotes genomic instability, contributing to the higher SNV and CNA burdens in ATC compared to WDTC (Fig. 1A). This is also reflected by the association of the TP53 mutation with the CNA subtypes identified in the GATCI cohort (8). Moreover, loss of p53 diminishes the restrictions on the intensity of MAPK output (30, 59) and can itself contribute to MAPK signaling (60), which may lead to the high levels of MAPK activity that do not exclusively depend on the primary MAPK-activating alteration in ATC. Altogether, somatic alterations of TP53 are established drivers of the progression of malignant thyrocytes to ATC and are associated with many characteristic features of these aggressive tumors (22, 55, 56, 57, 58).

Alterations in numerous other genes involved in the cell cycle and DNA damage response have been observed in ATC (8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20). These include mutations in genes encoding members of the mismatch repair pathway (MLH1, MSH2, MSH6) and regulators of single-strand and double-strand DNA breaks (ATM and ATR). Widespread mutations and deletions of BRCA1 and BRCA2 were also highlighted in the GATCI cohort (8). In addition, alterations in CDKN2A, which encodes the central mediator of cell cycle arrest p16, are common in ATC, with the deletion of this gene representing one of the most frequent CNAs (it was observed in 42% of ATC cases in GATCI) (8, 10, 13). Overall, while there are limited functional investigations of these alterations in ATC, they may play oncogenic roles by contributing to genomic instability and the deregulation of the cell cycle (61, 62).

TERT

Activation of TERT, the catalytic component of telomerase, is another highly prevalent alteration in ATC, with mutations in the TERT promoter seen in 50% of cases (IQR: 38.7–56%) (8, 9, 10, 11, 12, 13, 14, 15, 17, 18, 20, 63, 64, 65, 66). Alterations in TERT are implicated in the aggressiveness of thyroid cancer and are associated with worse patient outcomes, especially when they co-occur with alterations in BRAF or RAS genes (12, 65, 67, 68, 69). However, unlike TP53, alterations in TERT are also similarly prevalent in the advanced forms of DTC and are not specifically enriched in ATC (25). TERT promoter mutations include mutually exclusive c.-124C>T and c.-146C>T hotspot mutations, with the former comprising 90.2% (IQR: 87.5–92%) of cases (8, 10, 13, 14, 17, 18, 63, 64, 65). Notably, TERT promoter mutation is not the only mechanism through which thyroid tumors achieve TERT activation, with promoter hypermethylation and copy number gains representing alternative mechanisms (70, 71).

The canonical function of TERT is the maintenance of telomeres, and its reactivation confers replicative immortality to malignant cells (72). However, TERT is also implicated in various other telomere-independent cellular functions (73). While still not fully understood, the activity of TERT in thyroid cancer is thought to both allow malignant thyrocytes to escape replicative senescence (71) and contribute to cancer aggressiveness through extra-telomeric functions (23, 74). The activation of Tert in BrafV600E-mutant mouse models leads to the development of PDTC and ATC (23, 74). Tert activation in these models appears to induce higher MAPK and PI3K/AKT outputs and contribute to ribosome biogenesis and thyrocyte dedifferentiation (23, 74). The induction of MAPK output by Tert may explain the worse outcomes observed in patients when TERT activation is combined with BRAF or RAS alterations. Both hotspot mutations in the TERT promoter generate binding sites for ETS transcription factors (75), which are effectors downstream of the MAPK pathway. Consequently, the combination of activation of the MAPK pathway and TERT promoter mutations generates a feedback loop whereby the high MAPK output induces the expression of TERT, and active TERT enhances MAPK activity, leading to further dedifferentiation, replicative immortality, and more aggressive phenotypes.

EIF1AX

EIF1AX encodes the EIF1A component of the 43S translation preinitiation complex (PIC), and its mutations deregulate the process of mRNA translation. EIF1AX mutations are observed in about 1% of well-differentiated papillary thyroid tumors and are mutually exclusive with other oncogenic drivers (51). In contrast, EIF1AX mutations are enriched in less differentiated, more aggressive forms of thyroid cancer, with about 8.5% (IQR: 2.2–13.7%) of ATC tumors harboring such mutations (8, 9, 11, 12, 13, 14, 16, 20). Moreover, genomic studies have consistently shown that EIF1AX mutations in ATC almost exclusively co-occur with RAS alterations (8, 9, 10, 11, 12, 13, 20), suggesting a cooperative association in disease progression. EIF1AX mutations in ATC occur either in the region encoding the N-terminal domain of the protein or at the A113 splice site that affects the C-terminal, with the latter appearing to be exclusive to thyroid cancer (8, 9, 10, 11, 12, 13, 20, 51). The oncogenic capacity of EIF1AXA113splice has been demonstrated in genetically engineered mouse models where, concordant with the clinical manifestations, mutant EIF1AX in isolation may drive low-grade PTC, while the combination of alterations in RAS and EIF1AX can lead to less differentiated and more aggressive tumors (76). Functionally, the mutant EIF1AX increases global protein synthesis via an EIF2α-independent enhancement of the translation and transcription of ATF4, followed by the induction of the dephosphorylation of EIF2α through a negative feedback loop (76). Mutant EIF1AX and RAS also cooperate to stabilize c-MYC and increase the influx of amino acids, which in turn activate mTOR (76). Nevertheless, the convergence on c-MYC does not fully explain the particular association of EIF1AX mutations with the activation of RAS (as opposed to other MAPK-activating alterations), and additional mechanisms, such as the enhanced PI3K activity in RAS-mutant cells when EIF1AX is mutated (76), likely play a role in this context.

Epigenetic regulators

Frequent alterations in genes encoding histone methyltransferases, histone acetyltransferases, members of the SWI/SNF chromatin remodeling complexes, and other epigenetic regulators are observed in ATC (8, 9, 10, 11, 12, 13, 14, 15, 16). These mutations are enriched in advanced thyroid cancer and may play oncogenic roles through mechanisms such as epigenetically mediated dysregulations of transcriptional programs and DNA damage response (77, 78). Studies investigating the epigenetic landscape of thyroid cancer have proposed several alterations in ATC, including global hypomethylation, hypermethylation of the promoters of CDKN2A, PTEN, and TSHR, as well as hypomethylation of the promoters of MTOR, NOTCH1, and HIF1A (79, 80, 81, 82). However, the functional consequences of the genomic alterations of epigenetic regulators in thyroid cancer are largely unexplored. The exceptions to this are alterations perturbing the activity of the SWI/SNF complexes, which have been shown to reduce chromatin accessibility and expression of lineage transcription factors, as well as other critical genes for the specialized function of thyrocytes (83). This is consistent with the characterized role of the SWI/SNF complexes in lineage specification (78). Moreover, the same study has shown that LOF of the members of the SWI/SNF complexes induced progression to PDTC and ATC in BRAF-mutant mice and abolished the redifferentiation effects of MAPK inhibition in these models (83).

Genomic alterations with limited characterization

As discussed, mechanistic investigations have characterized the consequences of many of the prominent genetic alterations in ATC. Nonetheless, numerous alterations with potential roles in thyroid cancer tumorigenesis and progression remain uncharacterized, including an array of SNVs and CNAs enriched in ATC compared to DTC (8, 9, 10, 11, 12, 13, 16). Further research into the functional implications of these alterations could reveal novel oncogenic dynamics in thyroid cancer and may expose clinically useful therapeutic vulnerabilities of subsets of ATC tumors. For instance, recurrent mutations of USH2A and LRP1 were found in both the GATCI cohort and a previous cohort of 22 ATC tumors characterized by whole-exome sequencing (8, 11). GATCI also strongly underscored the role of CNAs in ATC. The CNA subtypes identified in this study were associated with the clinical profiles of patients, and numerous recurrent CNAs with potential oncogenic roles were discovered. Indeed, frequent deletions of several tumor suppressors, such as CDKN2A and BRCA2, which were discussed above, were observed in cases with no known drivers in GATCI (8), suggesting their potential roles as drivers in a subset of cases. Furthermore, widespread losses of CDKN2A (which promotes cell cycle arrest through the inhibitory effects of its corresponding protein on CDK4 and CDK6) and BRCA genes provide the rationale for the preclinical evaluation of CDK4/6 inhibitors and PARP inhibitors in combination with other treatments as potential precision therapeutic interventions in patients harboring these alterations (84, 85).

Advancements in the clinic: targeted treatments and immunotherapy

Significant strides have been made in redefining the historically dismal clinical management of ATC. In particular, the realization of the critical reliance of most ATC tumors on the upregulated MAPK pathway activity, coupled with the availability of small molecule inhibitors against the members of this pathway, raised excitement about the possibility of genotype-guided precision therapeutic interventions. Indeed, established genotype-matched treatments are currently available to several subgroups of ATC patients in the clinic: the combination of dabrafenib and trametinib (or vemurafenib and cobimetinib) for cases with the BRAFV600E mutation, larotrectinib or entrectinib for cases with NTRK fusions, and selpercatinib or pralsetinib for cases with RET fusions (86). Targetable ALK fusions are also rarely observed in ATC, providing another opportunity for therapeutic intervention (18, 48, 49). Given the capacity of the genomic alterations to inform the choice of treatment in the clinic, rapid molecular profiling of the tumors at the time of diagnosis through hotspot mutation testing and targeted next-generation sequencing panels is now strongly recommended (1). Yet still, over 60% of patients present with tumors that do not harbor these targetable alterations and thus have more limited treatment options (8, 9, 10, 11, 12, 13, 14, 15). Furthermore, the 6.7 months of progression-free survival among the ATC patients receiving the combination of dabrafenib and trametinib attests to the rapid development of resistance to this intervention, an occurrence that is almost universal in ATC (87). Thus, understanding the mechanisms of resistance and further development and enhancement of the treatment modalities available to patients suffering from ATC are active areas of investigation.

Opportunities and challenges of MAPK inhibition in ATC

The combination of dabrafenib and trametinib exhibits an objective response rate of about 60% in BRAFV600E-mutant ATC patients and is now part of the standard of care in this subgroup of patients, typically offered as the first line of therapy in the settings of locoregionally advanced unresectable tumors and metastatic disease (1, 87). Dabrafenib and vemurafenib are members of the first generation of RAF inhibitors and are widely explored as targeted treatments against BRAFV600E-mutant tumors (88). These ATP-competitive inhibitors have specific properties that confer a high therapeutic index to them and, at the same time, simplify the development of resistance against them (Fig. 3).

Figure 3
Figure 3

Response and resistance to first-generation RAF inhibitors. The first panel illustrates MAPK signaling in BRAFV600E-mutant cells. In these cells, monomeric signaling by BRAFV600E leads to continuous activation of ERK and suppression of dimeric signaling through the negative feedback by ERK. The second panel shows the inhibition of the upregulated MAPK output by first-generation RAF inhibitors. First-generation RAF inhibitors (represented by dabrafenib) selectively inhibit the monomeric signaling by BRAFV600E, but they promote dimeric signaling by RAF through direct recruitment of RAF to RAS and stabilization of dimerization, as well as through relief of the feedback inhibition by ERK. These mechanisms might contribute to the development of adaptive resistance to first-generation RAF inhibitors. The third panel shows adaptive/acquired resistance to first-generation RAF inhibitors. Any mechanism that leads to dimeric signaling by RAF causes innate, adaptive, or acquired resistance to first-generation RAF inhibitors. These include RAS mutations, NF1 LOF, BRAF class II and III mutations (mutations other than alteration of the V600 that lead to either RAS-independent or RAS-dependent dimerization of RAF), and RTK fusions or upregulation.

Citation: European Thyroid Journal 14, 3; 10.1530/ETJ-25-0057

Notably, the binding of vemurafenib or dabrafenib to one of the protomers in a RAF dimer causes conformational changes that sterically impede the binding of an inhibitor to the second protomer (89). This means that, while these compounds restrict monomeric signaling by BRAFV600E, they do not effectively inhibit the MAPK signaling through RAF dimers. This selectivity broadens the therapeutic index of vemurafenib and dabrafenib (as they spare the MAPK signaling through RAF dimers in normal cells) but also renders them futile against malignant cells that signal through RAF dimers (e.g., NRAS-mutant cells).

Added to this is that first-generation RAF inhibitors stimulate RAF dimerization and can even paradoxically activate the MAPK pathway (90, 91). Two mechanisms are thought to contribute to the promotion of RAF dimers by first-generation RAF inhibitors. First, the direct interaction of these inhibitors with wild-type BRAF enhances the recruitment of the protein to RAS and facilitates dimerization (89, 92). This can lead to the paradoxical activation of the MAPK pathway in cells harboring active RAS and wild-type BRAF, which likely underlies some of the toxicities associated with these treatments, such as the development of cutaneous malignancies (88). Second, in BRAFV600E-mutant cells, the upregulation of the activity of ERK through monomeric signaling continually induces the suppression of dimeric signaling through negative feedback (Fig. 3). When treated with first-generation RAF inhibitors, suppression of the monomeric signaling leads to the relief of the negative feedback by ERK (43). This can trigger the reactivation of ERK through a rebound in dimeric RAF signaling, which is resistant to inhibition by first-generation RAF inhibitors (Fig. 3) (43).

Overall, these mechanisms highly restrict the efficacy and durability of current RAF inhibitors in the clinic. The lower efficacy of MAPK inhibition in ATC (and colorectal cancer) compared to melanoma is also likely, at least in part, due to the differential susceptibility of the different cell types to activation of dimeric signaling, as well as higher levels of dimeric signaling at baseline (89, 93, 94), although further investigation in this area is required. The addition of MEK inhibitors has been shown to reduce cutaneous side effects and improve efficacy in melanoma (95) and is also associated with enhanced outcomes in ATC (87, 96), most likely by counteracting paradoxical activation in normal cells and attenuating the MAPK activity rebound in malignant cells. As mentioned, it is indeed this combination of RAF and MEK inhibitors (dabrafenib and trametinib) that is now established as the standard of care in ATC and is recently FDA-approved tissue-agnostically (with the exception of colorectal cancer) in BRAFV600E-mutant tumors (97). Nevertheless, ATC patients almost invariably develop resistance to the current combinations of RAF and MEK inhibitors in the clinic, and while other potential mechanisms are also implicated in thyroid cancer (such as mutations in members of SWI/SNF or the PI3K/AKT pathway), reactivation of signaling through RAF dimers (for instance through mutations in RAS or NF1, enhanced RTK activity, or generation of self-dimerizing RAF isoforms; Fig. 3) is thought to be the primary mechanism of development of adaptive and acquired resistance to the current RAF inhibitors (98, 99, 100, 101). Accordingly, preclinical and clinical efforts exploring other types of RAF inhibitors are underway. These include investigations exploring type II RAF inhibitors such as naporafenib and belvarafenib, which are active against RAF dimers. These type II RAF inhibitors could potentially be used against tumors with initiating MAPK-activating alterations other than the BRAFV600E , as well as tumors with developed resistance against the current inhibitors through dimeric RAF signaling (102). Considering how these inhibitors also restrict MAPK signaling through RAF dimers in normal cells, they are predicted to have a narrower therapeutic index, although the sparing of ARAF, which appears to be a property of many compounds in this category (103, 104), might attenuate the treatment-related toxicity of these drugs. While the combination of type II RAF inhibitors and MEK inhibitors has been shown to be tolerated in multiple clinical trials in different types of cancer (105, 106, 107, 108), limited preclinical and clinical data regarding the tolerability and efficacy of these compounds in ATC are available, but ongoing efforts are rapidly closing the gap (109).

The evolving frontier of immunotherapy in ATC

Finally, in contrast to the available data indicating an objective response rate of less than 10% for immune checkpoint blockade in DTC (110, 111), immune checkpoint inhibition in ATC appears more promising and is advancing in clinical trials. This differential sensitivity of ATC tumors to immunotherapy is not surprising, considering the profound differences in the microenvironment of ATC and DTC. Detailed characterization of the microenvironment of ATC is an active area of investigation. The results so far suggest that, compared to PTC, the microenvironment of ATC is enriched with specific fibroblast populations that support tumor growth, has a significantly higher proportion of immune cells, and exhibits an over-representation of immunosuppressive macrophages and lymphoid cells expressing high levels of exhaustion markers, a milieu that is speculated to be more amenable to modulation through immunotherapeutic interventions (37, 112, 113, 114, 115, 116, 117). An early clinical trial reported an objective response rate of 19% (29% among the PD-L1 positive cases) in 42 ATC patients treated with spartalizumab (118). This included three cases of complete response. Based on these results, the American Thyroid Association guidelines recommend that immune checkpoint blockade may be offered as first-line therapy (when other targetable alterations are not present) or at later stages of treatment (such as when resistance to the initial targeted therapy has emerged) for metastatic ATC with high PD-L1 expression, optimally as part of a clinical trial (1). Moving beyond monotherapy with immune checkpoint inhibitors, the objective response rate of dual checkpoint inhibition with durvalumab and tremelimumab in ATC patients in the DUTHY trial (n = 12) was 33.3% in the entire cohort and 50% in patients with PD-L1 positive tumors (119). Similarly, in a recent clinical trial assessing the efficacy of dual immune checkpoint blockade with nivolumab and ipilimumab in aggressive thyroid cancer, the clinical benefit rate in ATC patients (n = 10) was 50%, including three cases that experienced partial response and two cases of stable disease (120). With the establishment of targeted treatment with MAPK inhibitors in the ATC standard of care, assessment of the efficacy of the combination of MAPK inhibitors with immune checkpoint blockade represents an exciting new frontier in the clinical management of ATC. This is of particular interest, as, given the association of MAPK signaling with modulation of the interaction of the tumor and immune cells (32, 33), MAPK inhibition appears to lead to an incompletely understood remodeling of the immune microenvironment. Furthermore, the immunosuppressive microenvironment of the tumors is associated with resistance to MAPK inhibition (33, 121). These indicate that these two treatment modalities may act synergistically, but further research in this area is needed. The available data so far suggest superior patient outcomes when targeted inhibition of the MAPK pathway is combined with immunotherapy (15, 122), with a recent clinical trial reporting a remarkable median overall survival of 43 months in 18 BRAFV600E-mutant ATC patients receiving atezolizumab in addition to vemurafenib and cobimetinib (7). Overall, these results indicate the effectiveness of immunotherapy in ATC, warranting further evaluation of the incorporation of immune checkpoint blockade, alone or in combination with targeted treatments, in the ATC standard of care.

Conclusion

The last decade witnessed significant progress in both our understanding of the molecular basis of ATC and the clinical management of the disease. Despite the aggressive characteristics of ATC tumors, the genomic landscape of ATC is only moderately complex (8) and is marked by numerous highly recurring features (8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20). Furthermore, the close evolutionary association of ATC with WDTC is now well-substantiated, and many of the most prominent alterations implicated in the progression of well-differentiated tumors to ATC are characterized through functional investigations (8, 22, 23, 24). Yet, numerous alterations with clear enrichments in the advanced disease remain largely understudied, and while efforts such as GATCI have made substantial progress in closing the gap, additional oncogenic alterations likely remain unidentified. Specifically, the contributions of many genomic features such as structural variants, germline variants, and mitochondrial DNA alterations to the development, intratumoral heterogeneity, and treatment resistance in ATC are underexplored. Further investigations in these areas may offer new insights into the molecular foundations of ATC and reveal novel avenues for therapeutic interventions. While the incorporation of genotype-guided inhibition of the MAPK pathway into the standard of care for ATC has led to remarkable improvements in patient outcomes (87), their applicability to only a subset of patients and the almost universal evolution of resistance to these interventions pose great challenges that should be addressed through multidisciplinary efforts. Nonetheless, novel classes of small molecule inhibitors against the components of the MAPK pathway are under active investigation, and the combination of immunotherapy with inhibitors of the MAPK pathway appears promising (7). As the gaps in our understanding of ATC are bridged and innovative treatments emerge, the clinical landscape of ATC is rapidly turning from a grim history of dismal patient outcomes to a hopeful future of precision medicine and immunotherapy.

Declaration of interest

The authors declare that there is no conflict of interest that could be perceived as prejudicing the impartiality of the work reported.

Funding

This work was supported by the Canadian Institute of Health Research grant MOP 487005.

Acknowledgements

Figures were created with BioRender.com.

References

  • 1

    Bible KC , Kebebew E , Brierley J , et al. 2021 American Thyroid Association Guidelines for management of patients with anaplastic thyroid cancer: American thyroid Association anaplastic thyroid cancer guidelines task force. Thyroid 2021 31 337386. (https://doi.org/10.1089/thy.2020.0944)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 2

    Rao SN , Zafereo M , Dadu R , et al. Patterns of treatment failure in anaplastic thyroid carcinoma. Thyroid 2017 27 672681. (https://doi.org/10.1089/thy.2016.0395)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 3

    Dedhia PH , Saucke MC , Long KL , et al. Physician perspectives of overdiagnosis and overtreatment of low-risk papillary thyroid cancer in the US. JAMA Netw Open 2022 5 e228722. (https://doi.org/10.1001/jamanetworkopen.2022.8722)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 4

    Lin B , Ma H , Ma M , et al. The incidence and survival analysis for anaplastic thyroid cancer: a SEER database analysis. Am J Transl Res 2019 11 58885896.

  • 5

    Janz TA , Neskey DM , Nguyen SA , et al. Is the incidence of anaplastic thyroid cancer increasing: a population based epidemiology study. World J Otorhinolaryngol Head Neck Surg 2019 5 3440. (https://doi.org/10.1016/j.wjorl.2018.05.006)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 6

    Maniakas A , Dadu R , Busaidy NL , et al. Evaluation of overall survival in patients with anaplastic thyroid carcinoma, 2000–2019. JAMA Oncol 2020 6 1397. (https://doi.org/10.1001/jamaoncol.2020.3362)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 7

    Cabanillas ME , Dadu R , Ferrarotto R , et al. Anti–programmed death ligand 1 plus targeted therapy in anaplastic thyroid carcinoma. JAMA Oncol 2024 10 16721680. (https://doi.org/10.1001/jamaoncol.2024.4729)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 8

    Zeng PYF , Prokopec SD , Lai SY , et al. The genomic and evolutionary landscapes of anaplastic thyroid carcinoma. Cell Rep 2024 43 113826. (https://doi.org/10.1016/j.celrep.2024.113826)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 9

    Landa I , Ibrahimpasic T , Boucai L , et al. Genomic and transcriptomic hallmarks of poorly differentiated and anaplastic thyroid cancers. J Clin Investig 2016 126 10521066. (https://doi.org/10.1172/jci85271)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 10

    Pozdeyev N , Gay LM , Sokol ES , et al. Genetic analysis of 779 advanced differentiated and anaplastic thyroid cancers. Clin Cancer Res 2018 24 30593068. (https://doi.org/10.1158/1078-0432.ccr-18-0373)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 11

    Kunstman JW , Juhlin CC , Goh G , et al. Characterization of the mutational landscape of anaplastic thyroid cancer via whole-exome sequencing. Hum Mol Genet 2015 24 23182329. (https://doi.org/10.1093/hmg/ddu749)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 12

    Xu B , Fuchs T , Dogan S , et al. Dissecting anaplastic thyroid carcinoma: a comprehensive clinical, histologic, immunophenotypic, and molecular study of 360 cases. Thyroid 2020 30 15051517. (https://doi.org/10.1089/thy.2020.0086)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 13

    Yoo SK , Song YS , Lee EK , et al. Integrative analysis of genomic and transcriptomic characteristics associated with progression of aggressive thyroid cancer. Nat Commun 2019 10 2764. (https://doi.org/10.1038/s41467-019-10680-5)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 14

    Zhang L , Ren Z , Su Z , et al. Novel recurrent altered genes in Chinese patients with anaplastic thyroid cancer. J Clin Endocrinol Metab 2021 106 e988e998. (https://doi.org/10.1210/clinem/dgab014)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 15

    Wang JR , Montierth M , Xu L , et al. Impact of somatic mutations on survival outcomes in patients with anaplastic thyroid carcinoma. JCO Precis Oncol 2022 6 e2100504. (https://doi.org/10.1200/po.21.00504)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 16

    Yeh CN , Lin SF , Wu CL , et al. Genomic landscape and comparative analysis of tissue and liquid-based NGS in Taiwanese anaplastic thyroid carcinoma. NPJ Precis Oncol 2025 9 16. (https://doi.org/10.1038/s41698-025-00802-2)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 17

    Tiedje V , Ting S , Herold T , et al. NGS based identification of mutational hotspots for targeted therapy in anaplastic thyroid carcinoma. Oncotarget 2017 8 4261342620. (https://doi.org/10.18632/oncotarget.17300)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 18

    Bonhomme B , Godbert Y , Perot G , et al. Molecular pathology of anaplastic thyroid carcinomas: a retrospective study of 144 cases. Thyroid 2017 27 682692. (https://doi.org/10.1089/thy.2016.0254)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 19

    Toda S , Hiroshima Y , Iwasaki H , et al. Genomic landscape and clinical features of advanced thyroid carcinoma: a national database study in Japan. J Clin Endocrinol Metab 2024 109 27842792. (https://doi.org/10.1210/clinem/dgae271)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 20

    Duan H , Li Y , Hu P , et al. Mutational profiling of poorly differentiated and anaplastic thyroid carcinoma by the use of targeted next-generation sequencing. Histopathology 2019 75 890899. (https://doi.org/10.1111/his.13942)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 21

    Knauf JA , Ma X , Smith EP , et al. Targeted expression of BRAFV600E in thyroid cells of transgenic mice results in papillary thyroid cancers that undergo dedifferentiation. Cancer Res 2005 65 42384245. (https://doi.org/10.1158/0008-5472.can-05-0047)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 22

    McFadden DG , Vernon A , Santiago PM , et al. p53 constrains progression to anaplastic thyroid carcinoma in a braf -mutant mouse model of papillary thyroid cancer. Proc Natl Acad Sci U S A 2014 111 E1600E1609. (https://doi.org/10.1073/pnas.1404357111)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 23

    Landa I , Thornton CEM , Xu B , et al. Telomerase upregulation induces progression of mouse BrafV600E-driven thyroid cancers and triggers nontelomeric effects. Mol Cancer Res 2023 21 11631175. (https://doi.org/10.1158/1541-7786.mcr-23-0144)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 24

    Charles RP , Silva J , Iezza G , et al. Activating BRAF and PIK3CA mutations cooperate to promote anaplastic thyroid carcinogenesis. Mol Cancer Res 2014 12 979986. (https://doi.org/10.1158/1541-7786.mcr-14-0158-t)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 25

    Landa I & Cabanillas ME . Genomic alterations in thyroid cancer: biological and clinical insights. Nat Rev Endocrinol 2024 20 93110. (https://doi.org/10.1038/s41574-023-00920-6)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 26

    Bahar ME , Kim HJ & Kim DR . Targeting the RAS/RAF/MAPK pathway for cancer therapy: from mechanism to clinical studies. Signal Transduct Target Ther 2023 8 455. (https://doi.org/10.1038/s41392-023-01705-z)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 27

    Knauf JA & Fagin JA . Role of MAPK pathway oncoproteins in thyroid cancer pathogenesis and as drug targets. Curr Opin Cell Biol 2009 21 296303. (https://doi.org/10.1016/j.ceb.2009.01.013)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 28

    Brea EJ , Oh CY , Manchado E , et al. Kinase regulation of human MHC class I molecule expression on cancer cells. Cancer Immunol Res 2016 4 936947. (https://doi.org/10.1158/2326-6066.cir-16-0177)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 29

    Mitsutake N , Knauf JA , Mitsutake S , et al. Conditional BRAFV600E expression induces DNA synthesis, apoptosis, dedifferentiation, and chromosomal instability in thyroid PCCL3 cells. Cancer Res 2005 65 24652473. (https://doi.org/10.1158/0008-5472.can-04-3314)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 30

    Fagin JA , Krishnamoorthy GP & Landa I . Pathogenesis of cancers derived from thyroid follicular cells. Nat Rev Cancer 2023 23 631650. (https://doi.org/10.1038/s41568-023-00598-y)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 31

    Angell TE , Lechner MG , Jang JK , et al. MHC class I loss is a frequent mechanism of immune escape in papillary thyroid cancer that is reversed by interferon and selumetinib treatment in vitro. Clin Cancer Res 2014 20 60346044. (https://doi.org/10.1158/1078-0432.ccr-14-0879)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 32

    Angell TE , Lechner MG , Jang JK , et al. BRAF V600E in papillary thyroid carcinoma is associated with increased programmed death ligand 1 expression and suppressive immune cell infiltration. Thyroid 2014 24 13851393. (https://doi.org/10.1089/thy.2014.0134)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 33

    Zhang P , Guan H , Yuan S , et al. Targeting myeloid derived suppressor cells reverts immune suppression and sensitizes BRAF-mutant papillary thyroid cancer to MAPK inhibitors. Nat Commun 2022 13 1588. (https://doi.org/10.1038/s41467-022-29000-5)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 34

    Ryder M , Gild M , Hohl TM , et al. Genetic and pharmacological targeting of CSF-1/CSF-1R inhibits tumor-associated macrophages and impairs BRAF-induced thyroid cancer progression. PLoS One 2013 8 e54302. (https://doi.org/10.1371/journal.pone.0054302)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 35

    Ryder M , Ghossein RA , Ricarte-Filho JCM , et al. Increased density of tumor-associated macrophages is associated with decreased survival in advanced thyroid cancer. Endocr Relat Cancer 2008 15 10691074. (https://doi.org/10.1677/erc-08-0036)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 36

    Caillou B , Talbot M , Weyemi U , et al. Tumor-associated macrophages (TAMs) form an interconnected cellular supportive network in anaplastic thyroid carcinoma. PLoS One 2011 6 e22567. (https://doi.org/10.1371/journal.pone.0022567)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 37

    Loberg MA , Xu GJ , Chen SC , et al. An integrated single-cell and spatial transcriptomic atlas of thyroid cancer progression identifies prognostic fibroblast subpopulations. bioRxiv 2025. (https://doi.org/10.1101/2025.01.08.631962)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 38

    Charles RP , Iezza G , Amendola E , et al. Mutationally activated BRAFV600E elicits papillary thyroid cancer in the adult mouse. Cancer Res 2011 71 38633871. (https://doi.org/10.1158/0008-5472.can-10-4463)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 39

    Vitagliano D , Portella G , Troncone G , et al. Thyroid targeting of the N-ras(Gln61Lys) oncogene in transgenic mice results in follicular tumors that progress to poorly differentiated carcinomas. Oncogene 2006 25 54675474. (https://doi.org/10.1038/sj.onc.1209527)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 40

    Haling JR , Sudhamsu J , Yen I , et al. Structure of the BRAF-MEK complex reveals a kinase activity independent role for BRAF in MAPK signaling. Cancer Cell 2014 26 402413. (https://doi.org/10.1016/j.ccr.2014.07.007)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 41

    Yao Z , Torres NM , Tao A , et al. BRAF mutants evade ERK-dependent feedback by different mechanisms that determine their sensitivity to pharmacologic inhibition. Cancer Cell 2015 28 370383. (https://doi.org/10.1016/j.ccell.2015.08.001)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 42

    Rajakulendran T , Sahmi M , Lefrançois M , et al. A dimerization-dependent mechanism drives RAF catalytic activation. Nature 2009 461 542545. (https://doi.org/10.1038/nature08314)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 43

    Lito P , Pratilas CA , Joseph EW , et al. Relief of profound feedback inhibition of mitogenic signaling by RAF inhibitors attenuates their activity in BRAFV600E melanomas. Cancer Cell 2012 22 668682. (https://doi.org/10.1016/j.ccr.2012.10.009)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 44

    Chen X , Mitsutake N , LaPerle K , et al. Endogenous expression of Hras G12V induces developmental defects and neoplasms with copy number imbalances of the oncogene. Proc Natl Acad Sci U S A 2009 106 79797984. (https://doi.org/10.1073/pnas.0900343106)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 45

    Miller KA , Yeager N , Baker K , et al. Oncogenic kras requires simultaneous PI3K signaling to induce ERK activation and transform thyroid epithelial cells in vivo. Cancer Res 2009 69 36893694. (https://doi.org/10.1158/0008-5472.can-09-0024)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 46

    Scheffzek K & Shivalingaiah G . Ras-specific GTPase-Activating proteins-structures, mechanisms, and interactions. Cold Spring Harb Perspect Med 2019 9 a031500. (https://doi.org/10.1101/cshperspect.a031500)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 47

    Tong J , Hannan F , Zhu Y , et al. Neurofibromin regulates G protein–stimulated adenylyl cyclase activity. Nat Neurosci 2002 5 9596. (https://doi.org/10.1038/nn792)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 48

    Godbert Y , Henriques de Figueiredo B , Bonichon F , et al. Remarkable response to crizotinib in woman with anaplastic lymphoma kinase–rearranged anaplastic thyroid carcinoma. J Clin Oncol 2015 33 e84e87. (https://doi.org/10.1200/jco.2013.49.6596)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 49

    Hamidi S , Ning MS , Phan J , et al. Recurrent poorly differentiated thyroid cancer successfully treated with radiation and immunotherapy. JCEM Case Rep 2025 3 luaf015. (https://doi.org/10.1210/jcemcr/luaf015)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 50

    Santoro M , Moccia M , Federico G , et al. RET gene fusions in malignancies of the thyroid and other tissues. Genes 2020 11 424. (https://doi.org/10.3390/genes11040424)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 51

    Agrawal N , Akbani R , Aksoy BA , et al. Integrated genomic characterization of papillary thyroid carcinoma. Cell 2014 159 676690. (https://doi.org/10.1016/j.cell.2014.09.050)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 52

    He Y , Sun MM , Zhang GG , et al. Targeting PI3K/Akt signal transduction for cancer therapy. Signal Transduct Target Ther 2021 6 425. (https://doi.org/10.1038/s41392-021-00828-5)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 53

    Mendoza MC , Er EE & Blenis J . The Ras-ERK and PI3K-mTOR pathways: cross-talk and compensation. Trends Biochem Sci 2011 36 320328. (https://doi.org/10.1016/j.tibs.2011.03.006)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 54

    Pinto N , Ruicci KM , Khan MI , et al. Introduction and expression of PIK3CAE545K in a papillary thyroid cancer BRAFV600E cell line leads to a dedifferentiated aggressive phenotype. J Otolaryngol Head Neck Surg 2022 51 7. (https://doi.org/10.1186/s40463-022-00558-w)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 55

    Untch BR , Dos Anjos V , Garcia-Rendueles MER , et al. Tipifarnib inhibits HRAS-driven dedifferentiated thyroid cancers. Cancer Res 2018 78 46424657. (https://doi.org/10.1158/0008-5472.can-17-1925)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 56

    La Perle KMD , Jhiang SM & Capen CC . Loss of p53 promotes anaplasia and local invasion in ret/PTC1-Induced thyroid carcinomas. Am J Pathol 2000 157 671677. (https://doi.org/10.1016/s0002-9440(10)64577-4)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 57

    Nikitski AV , Rominski SL , Condello V , et al. Mouse model of thyroid cancer progression and dedifferentiation driven by STRN-ALK expression and loss of p53: evidence for the existence of two types of poorly differentiated carcinoma. Thyroid 2019 29 14251437. (https://doi.org/10.1089/thy.2019.0284)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 58

    Knauf JA , Luckett KA , Chen KY , et al. Hgf/met activation mediates resistance to BRAF inhibition in murine anaplastic thyroid cancers. J Clin Investig 2018 128 40864097. (https://doi.org/10.1172/jci120966)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 59

    Zou M , Baitei EY , Al-Rijjal RA , et al. TSH overcomes BrafV600E-induced senescence to promote tumor progression via downregulation of p53 expression in papillary thyroid cancer. Oncogene 2016 35 19091918. (https://doi.org/10.1038/onc.2015.253)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 60

    Drosten M , Sum EYM , Lechuga CG , et al. Loss of p53 induces cell proliferation via ras-independent activation of the Raf/Mek/Erk signaling pathway. Proc Natl Acad Sci U S A 2014 111 1515515160. (https://doi.org/10.1073/pnas.1417549111)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 61

    Jeggo PA , Pearl LH & Carr AM . DNA repair, genome stability and cancer: a historical perspective. Nat Rev Cancer 2016 16 3542. (https://doi.org/10.1038/nrc.2015.4)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 62

    Zhao R , Choi BY , Lee MH , et al. Implications of genetic and epigenetic alterations of CDKN2A (p16 INK4a) in cancer. EBioMedicine 2016 8 3039. (https://doi.org/10.1016/j.ebiom.2016.04.017)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 63

    Liu X , Bishop J , Shan Y , et al. Highly prevalent TERT promoter mutations in aggressive thyroid cancers. Endocr Relat Cancer 2013 20 603610. (https://doi.org/10.1530/erc-13-0210)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 64

    Landa I , Ganly I , Chan TA , et al. Frequent somatic TERT promoter mutations in thyroid cancer: higher prevalence in advanced forms of the disease. J Clin Endocrinol Metab 2013 98 E1562E1566. (https://doi.org/10.1210/jc.2013-2383)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 65

    Shi X , Liu R , Qu S , et al. Association of TERT promoter mutation 1,295,228 C>T with BRAF V600E mutation, older patient age, and distant metastasis in anaplastic thyroid cancer. J Clin Endocrinol Metab 2015 100 E632E637. (https://doi.org/10.1210/jc.2014-3606)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 66

    Melo M , da Rocha AG , Vinagre J , et al. TERT promoter mutations are a major indicator of poor outcome in differentiated thyroid carcinomas. J Clin Endocrinol Metab 2014 99 E754E765. (https://doi.org/10.1210/jc.2013-3734)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 67

    Xing M , Liu R , Liu X , et al. BRAF V600E and TERT promoter mutations cooperatively identify the Most aggressive papillary thyroid cancer with highest recurrence. J Clin Oncol 2014 32 27182726. (https://doi.org/10.1200/jco.2014.55.5094)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 68

    Chen B , Shi Y , Xu Y , et al. The predictive value of coexisting BRAFV600E and TERT promoter mutations on poor outcomes and high tumour aggressiveness in papillary thyroid carcinoma: a systematic review and meta-analysis. Clin Endocrinol 2021 94 731742. (https://doi.org/10.1111/cen.14316)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 69

    Song YS , Lim JA , Choi H , et al. Prognostic effects of TERT promoter mutations are enhanced by coexistence with BRAF or RAS mutations and strengthen the risk prediction by the ATA or TNM staging system in differentiated thyroid cancer patients. Cancer 2016 122 13701379. (https://doi.org/10.1002/cncr.29934)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 70

    McKelvey BA , Zeiger MA & Umbricht CB . Characterization of TERT and BRAF copy number variation in papillary thyroid carcinoma: an analysis of the cancer genome atlas study. Genes Chromosomes Cancer 2021 60 403409. (https://doi.org/10.1002/gcc.22928)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 71

    Montero-Conde C , Leandro-García LJ , Martínez-Montes ÁM , et al. Comprehensive molecular analysis of immortalization hallmarks in thyroid cancer reveals new prognostic markers. Clin Transl Med 2022 12 e1001. (https://doi.org/10.1002/ctm2.1001)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 72

    Yuan X , Larsson C & Xu D . Mechanisms underlying the activation of TERT transcription and telomerase activity in human cancer: old actors and new players. Oncogene 2019 38 61726183. (https://doi.org/10.1038/s41388-019-0872-9)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 73

    Martínez P & Blasco MA . Telomeric and extra-telomeric roles for telomerase and the telomere-binding proteins. Nat Rev Cancer 2011 11 161176. (https://doi.org/10.1038/nrc3025)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 74

    Yu P , Qu N , Zhu R , et al. TERT accelerates BRAF mutant–induced thyroid cancer dedifferentiation and progression by regulating ribosome biogenesis. Sci Adv 2023 9 eadg7125. (https://doi.org/10.1126/sciadv.adg7125)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 75

    Song YS , Yoo SK , Kim HH , et al. Interaction of BRAF-induced ETS factors with mutant TERT promoter in papillary thyroid cancer. Endocr Relat Cancer 2019 26 629641. (https://doi.org/10.1530/erc-17-0562)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 76

    Krishnamoorthy GP , Davidson NR , Leach SD , et al. EIF1AX and RAS mutations cooperate to drive thyroid tumorigenesis through ATF4 and c-MYC. Cancer Discov 2019 9 264281. (https://doi.org/10.1158/2159-8290.cd-18-0606)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 77

    Cheng Y , He C , Wang M , et al. Targeting epigenetic regulators for cancer therapy: mechanisms and advances in clinical trials. Signal Transduct Target Ther 2019 4 62. (https://doi.org/10.1038/s41392-019-0095-0)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 78

    Mittal P & Roberts CWM . The SWI/SNF complex in cancer – biology, biomarkers and therapy. Nat Rev Clin Oncol 2020 17 435448. (https://doi.org/10.1038/s41571-020-0357-3)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 79

    Ravi N , Yang M , Mylona N , et al. Global RNA expression and DNA methylation patterns in primary anaplastic thyroid cancer. Cancers 2020 12 680. (https://doi.org/10.3390/cancers12030680)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 80

    Schagdarsurengin U , Gimm O , Dralle H , et al. CpG Island methylation of tumor-related promoters occurs preferentially in undifferentiated carcinoma. Thyroid 2006 16 633642. (https://doi.org/10.1089/thy.2006.16.633)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 81

    Hou P , Ji M & Xing M . Association of PTEN gene methylation with genetic alterations in the phosphatidylinositol 3-kinase/AKT signaling pathway in thyroid tumors. Cancer 2008 113 24402447. (https://doi.org/10.1002/cncr.23869)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 82

    Xing M , Usadel H , Cohen Y , et al. Methylation of the thyroid-stimulating hormone receptor gene in epithelial thyroid tumors: a marker of malignancy and a cause of gene silencing. Cancer Res 2003 63 23162321.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 83

    Saqcena M , Leandro-Garcia LJ , Maag JLV , et al. SWI/SNF complex mutations promote thyroid tumor progression and insensitivity to redifferentiation therapies. Cancer Discov 2021 11 11581175. (https://doi.org/10.1158/2159-8290.cd-20-0735)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 84

    Álvarez-Fernández M & Malumbres M . Mechanisms of sensitivity and resistance to CDK4/6 inhibition. Cancer Cell 2020 37 514529. (https://doi.org/10.1016/j.ccell.2020.03.010)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 85

    Lord CJ & Ashworth A . PARP inhibitors: synthetic lethality in the clinic. Science 2017 355 11521158. (https://doi.org/10.1126/science.aam7344)

  • 86

    Boucai L , Zafereo M & Cabanillas ME . Thyroid cancer. JAMA 2024 331 425. (https://doi.org/10.1001/jama.2023.26348)

  • 87

    Subbiah V , Kreitman RJ , Wainberg ZA , et al. Dabrafenib plus trametinib in patients with BRAF V600E-mutant anaplastic thyroid cancer: updated analysis from the phase II ROAR basket study. Ann Oncol 2022 33 406415. (https://doi.org/10.1016/j.annonc.2021.12.014)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 88

    Poulikakos PI , Sullivan RJ & Yaeger R . Molecular pathways and mechanisms of BRAF in cancer therapy. Clin Cancer Res 2022 28 46184628. (https://doi.org/10.1158/1078-0432.ccr-21-2138)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 89

    Karoulia Z , Wu Y , Ahmed TA , et al. An integrated model of RAF inhibitor action predicts inhibitor activity against oncogenic BRAF signaling. Cancer Cell 2016 30 485498. (https://doi.org/10.1016/j.ccell.2016.06.024)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 90

    Hatzivassiliou G , Song K , Yen I , et al. RAF inhibitors prime wild-type RAF to activate the MAPK pathway and enhance growth. Nature 2010 464 431435. (https://doi.org/10.1038/nature08833)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 91

    Poulikakos PI , Zhang C , Bollag G , et al. RAF inhibitors transactivate RAF dimers and ERK signalling in cells with wild-type BRAF. Nature 2010 464 427430. (https://doi.org/10.1038/nature08902)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 92

    Lavoie H , Thevakumaran N , Gavory G , et al. Inhibitors that stabilize a closed RAF kinase domain conformation induce dimerization. Nat Chem Biol 2013 9 428436. (https://doi.org/10.1038/nchembio.1257)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 93

    Montero-Conde C , Ruiz-Llorente S , Dominguez JM , et al. Relief of feedback inhibition of HER3 transcription by RAF and MEK inhibitors attenuates their antitumor effects in BRAF -Mutant thyroid carcinomas. Cancer Discov 2013 3 520533. (https://doi.org/10.1158/2159-8290.cd-12-0531)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 94

    Garcia-Rendueles MER , Krishnamoorthy G , Saqcena M , et al. Yap governs a lineage-specific neuregulin1 pathway-driven adaptive resistance to RAF kinase inhibitors. Mol Cancer 2022 21 213. (https://doi.org/10.1186/s12943-022-01676-9)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 95

    Dummer R , Ascierto PA , Gogas HJ , et al. Overall survival in patients with BRAF-mutant melanoma receiving encorafenib plus binimetinib versus vemurafenib or encorafenib (COLUMBUS): a multicentre, open-label, randomised, phase 3 trial. Lancet Oncol 2018 19 13151327. (https://doi.org/10.1016/s1470-2045(18)30497-2)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 96

    Hyman DM , Puzanov I , Subbiah V , et al. Vemurafenib in multiple nonmelanoma cancers with BRAF V600 mutations. N Engl J Med 2015 373 726736. (https://doi.org/10.1056/nejmoa1502309)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 97

    Hanrahan AJ , Chen Z , Rosen N , et al. BRAF – a tumour-agnostic drug target with lineage-specific dependencies. Nat Rev Clin Oncol 2024 21 224247. (https://doi.org/10.1038/s41571-023-00852-0)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 98

    Cabanillas ME , Dadu R , Iyer P , et al. Acquired secondary RAS mutation in BRAF V600E -mutated thyroid cancer patients treated with BRAF inhibitors. Thyroid 2020 30 12881296. (https://doi.org/10.1089/thy.2019.0514)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 99

    Hofmann MC , Kunnimalaiyaan M , Wang JR , et al. Molecular mechanisms of resistance to kinase inhibitors in thyroid cancers. Endocr Relat Cancer 2022 29 R173R190. (https://doi.org/10.1530/erc-22-0129)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 100

    Lee M , Untch BR , Xu B , et al. Genomic and transcriptomic correlates of thyroid carcinoma evolution after BRAF inhibitor therapy. Mol Cancer Res 2022 20 4555. (https://doi.org/10.1158/1541-7786.mcr-21-0442)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 101

    Danysh BP , Rieger EY , Sinha DK , et al. Long-term vemurafenib treatment drives inhibitor resistance through a spontaneous KRAS G12D mutation in a BRAF V600E papillary thyroid carcinoma model. Oncotarget 2016 7 3090730923. (https://doi.org/10.18632/oncotarget.9023)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 102

    Tkacik E , Li K , Gonzalez-Del Pino G , et al. Structure and RAF family kinase isoform selectivity of type II RAF inhibitors tovorafenib and naporafenib. J Biol Chem 2023 299 104634. (https://doi.org/10.1016/j.jbc.2023.104634)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 103

    Monaco KA , Delach S , Yuan J , et al. LXH254, a potent and selective ARAF-sparing inhibitor of BRAF and CRAF for the treatment of MAPK-driven tumors. Clin Cancer Res 2021 27 20612073. (https://doi.org/10.1158/1078-0432.ccr-20-2563)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 104

    Yen I , Shanahan F , Lee J , et al. ARAF mutations confer resistance to the RAF inhibitor belvarafenib in melanoma. Nature 2021 594 418423. (https://doi.org/10.1038/s41586-021-03515-1)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 105

    de Braud F , Dooms C , Heist RS , et al. Initial evidence for the efficacy of naporafenib in combination with trametinib in NRAS -Mutant melanoma: results from the expansion arm of a phase Ib, open-label study. J Clin Oncol 2023 41 26512660. (https://doi.org/10.1200/jco.22.02018)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 106

    Shin SJ , Lee J , Kim TM , et al. A phase Ib trial of belvarafenib in combination with cobimetinib in patients with advanced solid tumors: interim results of dose-escalation and patients with NRAS-Mutant melanoma of dose-expansion. J Clin Oncol 2021 39 (Supplement 15) 3007. (https://doi.org/10.1200/jco.2021.39.15_suppl.3007)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 107

    Planchard D , Wolf J , Solomon B , et al. A phase Ib study of the combination of naporafenib with rineterkib or trametinib in patients with advanced and metastatic KRAS- or BRAF-mutant non-small cell lung cancer. Lung Cancer 2024 197 107964. (https://doi.org/10.1016/j.lungcan.2024.107964)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 108

    Kilburn LB , Khuong-Quang DA , Hansford JR , et al. The type II RAF inhibitor tovorafenib in relapsed/refractory pediatric low-grade glioma: the phase 2 FIREFLY-1 trial. Nat Med 2024 30 207217. (https://doi.org/10.1038/s41591-023-02668-y)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 109

    Zeng PYF , Meens J , Pan H , et al. Understanding and overcoming innate and acquired MAPK-inhibition resistance in anaplastic thyroid cancer. medRxiv 2024. (https://doi.org/10.1101/2024.12.04.24318267)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 110

    Mehnert JM , Varga A , Brose MS , et al. Safety and antitumor activity of the anti–PD-1 antibody pembrolizumab in patients with advanced, PD-L1–positive papillary or follicular thyroid cancer. BMC Cancer 2019 19 196. (https://doi.org/10.1186/s12885-019-5380-3)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 111

    Oh D , Algazi A , Capdevila J , et al. Efficacy and safety of pembrolizumab monotherapy in patients with advanced thyroid cancer in the phase 2 KEYNOTE-158 study. Cancer 2023 129 11951204. (https://doi.org/10.1002/cncr.34657)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 112

    Lu L , Wang JR , Henderson YC , et al. Anaplastic transformation in thyroid cancer revealed by single-cell transcriptomics. J Clin Investig 2023 133 e169653. (https://doi.org/10.1172/jci169653)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 113

    Luo H , Xia X , Kim GD , et al. Characterizing dedifferentiation of thyroid cancer by integrated analysis. Sci Adv 2021 7 eabf3657. (https://doi.org/10.1126/sciadv.abf3657)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 114

    Liao T , Zeng Y , Xu W , et al. A spatially resolved transcriptome landscape during thyroid cancer progression. Cell Rep Med 2025 6 102043. (https://doi.org/10.1016/j.xcrm.2025.102043)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 115

    Han PZ , Ye WD , Yu PC , et al. Distinct tumor microenvironment makes anaplastic thyroid cancer more lethal but immunotherapy-sensitive than papillary thyroid cancer. JCI Insight 2024 9 e173712. (https://doi.org/10.1172/jci.insight.173712)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 116

    Tiedje V , Greenberg J , Qin T , et al. Loss of tumor cell MHC class II drives insensitivity of BRAF-mutant anaplastic thyroid cancers to MAPK inhibitors. bioRxiv 2025. (https://doi.org/10.1101/2025.01.27.635086)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 117

    Giannini R , Moretti S , Ugolini C , et al. Immune profiling of thyroid carcinomas suggests the existence of two major phenotypes: an ATC-like and a PDTC-like. J Clin Endocrinol Metab 2019 104 35573575. (https://doi.org/10.1210/jc.2018-01167)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 118

    Capdevila J , Wirth LJ , Ernst T , et al. PD-1 blockade in anaplastic thyroid carcinoma. J Clin Oncol 2020 38 26202627. (https://doi.org/10.1200/jco.19.02727)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 119

    Capdevila Castillon J , Plana M , Castelo B , et al. 1645O Durvalumab (D) plus tremelimumab (T) for the treatment of patients with progressive, refractory advanced thyroid carcinoma: the DUTHY (GETNE-T1812) trial. Ann Oncol 2022 33 S1294S1295. (https://doi.org/10.1016/j.annonc.2022.07.1725)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 120

    Sehgal K , Pappa T , Shin KY , et al. Dual immune checkpoint inhibition in patients with aggressive thyroid carcinoma. JAMA Oncol 2024 10 16631671. (https://doi.org/10.1001/jamaoncol.2024.4019)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 121

    Boumahdi S & de Sauvage FJ . The great escape: tumour cell plasticity in resistance to targeted therapy. Nat Rev Drug Discov 2020 19 3956. (https://doi.org/10.1038/s41573-019-0044-1)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 122

    Hamidi S , Iyer PC , Dadu R , et al. Checkpoint inhibition in addition to dabrafenib/trametinib for BRAF V600E -Mutated anaplastic thyroid carcinoma. Thyroid 2024 34 336346. (https://doi.org/10.1089/thy.2023.0573)

    • PubMed
    • Search Google Scholar
    • Export Citation

 

  • Collapse
  • Expand
  • Figure 1

    Moderate alteration burden and the stepwise evolution of ATC. (A) The comparison of the genomic alteration burden of tumors shows that, while ATC tumors exhibit higher alteration burdens compared to papillary thyroid cancer, they occupy a low-to-moderate position across the different cancer types (the lollipops solely show the increasing order of the alteration burdens of different cancer types and do not represent actual values). (B) A sequential acquisition of alterations drives the transformation of thyrocytes to ATC. This process is commonly initiated with an alteration constitutively activating the MAPK pathway, giving rise to premalignant or malignant entities with high levels of differentiation and indolent characteristics. This is followed by additional alterations that lead to further dedifferentiation of cells and the acquisition of aggressive traits. Consistent with this model, genomic features of well-differentiated thyroid tumors are also observed in the advanced tumors, reflecting their origin as a truncal event. In contrast, alterations driving the progression of the disease are rare and subclonal in well-differentiated tumors and become enriched in the advanced disease. Moreover, a co-occurring differentiated thyroid cancer (co-DTC) is frequently observed in ATC, consistent with a branching evolution during the development of the disease. The clonal separation of these two components can hypothetically occur at any stage of the disease progression. Representative high-power field images show ATC and co-DTC components of the same tumor. Genomic characterization of the co-occurring DTCs in the GATCI cohort indicated that co-DTC tracks with the advanced forms of thyroid cancer, and the common ancestor harbored ∼95% of CNAs and ∼20% of SNVs in the two components. The lengths of the lines in the depicted phylogenetic tree are hypothetical, as sufficient data to accurately estimate the average evolutionary distance of the different components is not available. The data and plots for this figure are adapted from (8). Mbp, megabase pair; PGA, percentage of genome altered; DDR, DNA damage response.

  • Figure 2

    Key components of MAPK and PI3K/AKT pathways in ATC. The canonical MAPK pathway is initiated by the RTKs binding to their ligands. This binding induces dimerization and activation of the RTKs which, in turn, recruit the guanine nucleotide exchange factor (GEF) SOS and promote the exchange of GDP for GTP on RAS, thereby activating it. Subsequently, RAS induces the dimerization and activation of RAF proteins. This is followed by sequential phosphorylation and activation of MEK and ERK. ERK then mediates the downstream functions of the pathway by interacting with a multitude of effectors. ERK also participates in the negative regulation of MAPK signaling through direct interaction with the members of the pathway, as well as upregulation of negative regulators of MAPK signaling. PI3K is activated downstream of both RTKs and GPCRs. PI3K catalyzes the transfer of a phosphate group to phosphatidylinositol 4,5-bisphosphate (PIP2), converting it to phosphatidylinositol 3,4,5-trisphosphate (PIP3). PIP3 then induces the activation of AKT. Activation of AKT leads to derepression and activation of the mTOR complex 1 (mTORC1; presented as mTOR interacting with RAPTOR). AKT and mTORC1 are the primary nodes orchestrating the diverse functions of the PI3K/AKT pathway by interacting with numerous effectors. The rates of mutations in selected genes in ATC shown on the plots are derived from references (8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20).

  • Figure 3

    Response and resistance to first-generation RAF inhibitors. The first panel illustrates MAPK signaling in BRAFV600E-mutant cells. In these cells, monomeric signaling by BRAFV600E leads to continuous activation of ERK and suppression of dimeric signaling through the negative feedback by ERK. The second panel shows the inhibition of the upregulated MAPK output by first-generation RAF inhibitors. First-generation RAF inhibitors (represented by dabrafenib) selectively inhibit the monomeric signaling by BRAFV600E, but they promote dimeric signaling by RAF through direct recruitment of RAF to RAS and stabilization of dimerization, as well as through relief of the feedback inhibition by ERK. These mechanisms might contribute to the development of adaptive resistance to first-generation RAF inhibitors. The third panel shows adaptive/acquired resistance to first-generation RAF inhibitors. Any mechanism that leads to dimeric signaling by RAF causes innate, adaptive, or acquired resistance to first-generation RAF inhibitors. These include RAS mutations, NF1 LOF, BRAF class II and III mutations (mutations other than alteration of the V600 that lead to either RAS-independent or RAS-dependent dimerization of RAF), and RTK fusions or upregulation.

  • 1

    Bible KC , Kebebew E , Brierley J , et al. 2021 American Thyroid Association Guidelines for management of patients with anaplastic thyroid cancer: American thyroid Association anaplastic thyroid cancer guidelines task force. Thyroid 2021 31 337386. (https://doi.org/10.1089/thy.2020.0944)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 2

    Rao SN , Zafereo M , Dadu R , et al. Patterns of treatment failure in anaplastic thyroid carcinoma. Thyroid 2017 27 672681. (https://doi.org/10.1089/thy.2016.0395)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 3

    Dedhia PH , Saucke MC , Long KL , et al. Physician perspectives of overdiagnosis and overtreatment of low-risk papillary thyroid cancer in the US. JAMA Netw Open 2022 5 e228722. (https://doi.org/10.1001/jamanetworkopen.2022.8722)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 4

    Lin B , Ma H , Ma M , et al. The incidence and survival analysis for anaplastic thyroid cancer: a SEER database analysis. Am J Transl Res 2019 11 58885896.

  • 5

    Janz TA , Neskey DM , Nguyen SA , et al. Is the incidence of anaplastic thyroid cancer increasing: a population based epidemiology study. World J Otorhinolaryngol Head Neck Surg 2019 5 3440. (https://doi.org/10.1016/j.wjorl.2018.05.006)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 6

    Maniakas A , Dadu R , Busaidy NL , et al. Evaluation of overall survival in patients with anaplastic thyroid carcinoma, 2000–2019. JAMA Oncol 2020 6 1397. (https://doi.org/10.1001/jamaoncol.2020.3362)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 7

    Cabanillas ME , Dadu R , Ferrarotto R , et al. Anti–programmed death ligand 1 plus targeted therapy in anaplastic thyroid carcinoma. JAMA Oncol 2024 10 16721680. (https://doi.org/10.1001/jamaoncol.2024.4729)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 8

    Zeng PYF , Prokopec SD , Lai SY , et al. The genomic and evolutionary landscapes of anaplastic thyroid carcinoma. Cell Rep 2024 43 113826. (https://doi.org/10.1016/j.celrep.2024.113826)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 9

    Landa I , Ibrahimpasic T , Boucai L , et al. Genomic and transcriptomic hallmarks of poorly differentiated and anaplastic thyroid cancers. J Clin Investig 2016 126 10521066. (https://doi.org/10.1172/jci85271)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 10

    Pozdeyev N , Gay LM , Sokol ES , et al. Genetic analysis of 779 advanced differentiated and anaplastic thyroid cancers. Clin Cancer Res 2018 24 30593068. (https://doi.org/10.1158/1078-0432.ccr-18-0373)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 11

    Kunstman JW , Juhlin CC , Goh G , et al. Characterization of the mutational landscape of anaplastic thyroid cancer via whole-exome sequencing. Hum Mol Genet 2015 24 23182329. (https://doi.org/10.1093/hmg/ddu749)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 12

    Xu B , Fuchs T , Dogan S , et al. Dissecting anaplastic thyroid carcinoma: a comprehensive clinical, histologic, immunophenotypic, and molecular study of 360 cases. Thyroid 2020 30 15051517. (https://doi.org/10.1089/thy.2020.0086)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 13

    Yoo SK , Song YS , Lee EK , et al. Integrative analysis of genomic and transcriptomic characteristics associated with progression of aggressive thyroid cancer. Nat Commun 2019 10 2764. (https://doi.org/10.1038/s41467-019-10680-5)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 14

    Zhang L , Ren Z , Su Z , et al. Novel recurrent altered genes in Chinese patients with anaplastic thyroid cancer. J Clin Endocrinol Metab 2021 106 e988e998. (https://doi.org/10.1210/clinem/dgab014)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 15

    Wang JR , Montierth M , Xu L , et al. Impact of somatic mutations on survival outcomes in patients with anaplastic thyroid carcinoma. JCO Precis Oncol 2022 6 e2100504. (https://doi.org/10.1200/po.21.00504)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 16

    Yeh CN , Lin SF , Wu CL , et al. Genomic landscape and comparative analysis of tissue and liquid-based NGS in Taiwanese anaplastic thyroid carcinoma. NPJ Precis Oncol 2025 9 16. (https://doi.org/10.1038/s41698-025-00802-2)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 17

    Tiedje V , Ting S , Herold T , et al. NGS based identification of mutational hotspots for targeted therapy in anaplastic thyroid carcinoma. Oncotarget 2017 8 4261342620. (https://doi.org/10.18632/oncotarget.17300)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 18

    Bonhomme B , Godbert Y , Perot G , et al. Molecular pathology of anaplastic thyroid carcinomas: a retrospective study of 144 cases. Thyroid 2017 27 682692. (https://doi.org/10.1089/thy.2016.0254)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 19

    Toda S , Hiroshima Y , Iwasaki H , et al. Genomic landscape and clinical features of advanced thyroid carcinoma: a national database study in Japan. J Clin Endocrinol Metab 2024 109 27842792. (https://doi.org/10.1210/clinem/dgae271)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 20

    Duan H , Li Y , Hu P , et al. Mutational profiling of poorly differentiated and anaplastic thyroid carcinoma by the use of targeted next-generation sequencing. Histopathology 2019 75 890899. (https://doi.org/10.1111/his.13942)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 21

    Knauf JA , Ma X , Smith EP , et al. Targeted expression of BRAFV600E in thyroid cells of transgenic mice results in papillary thyroid cancers that undergo dedifferentiation. Cancer Res 2005 65 42384245. (https://doi.org/10.1158/0008-5472.can-05-0047)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 22

    McFadden DG , Vernon A , Santiago PM , et al. p53 constrains progression to anaplastic thyroid carcinoma in a braf -mutant mouse model of papillary thyroid cancer. Proc Natl Acad Sci U S A 2014 111 E1600E1609. (https://doi.org/10.1073/pnas.1404357111)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 23

    Landa I , Thornton CEM , Xu B , et al. Telomerase upregulation induces progression of mouse BrafV600E-driven thyroid cancers and triggers nontelomeric effects. Mol Cancer Res 2023 21 11631175. (https://doi.org/10.1158/1541-7786.mcr-23-0144)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 24

    Charles RP , Silva J , Iezza G , et al. Activating BRAF and PIK3CA mutations cooperate to promote anaplastic thyroid carcinogenesis. Mol Cancer Res 2014 12 979986. (https://doi.org/10.1158/1541-7786.mcr-14-0158-t)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 25

    Landa I & Cabanillas ME . Genomic alterations in thyroid cancer: biological and clinical insights. Nat Rev Endocrinol 2024 20 93110. (https://doi.org/10.1038/s41574-023-00920-6)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 26

    Bahar ME , Kim HJ & Kim DR . Targeting the RAS/RAF/MAPK pathway for cancer therapy: from mechanism to clinical studies. Signal Transduct Target Ther 2023 8 455. (https://doi.org/10.1038/s41392-023-01705-z)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 27

    Knauf JA & Fagin JA . Role of MAPK pathway oncoproteins in thyroid cancer pathogenesis and as drug targets. Curr Opin Cell Biol 2009 21 296303. (https://doi.org/10.1016/j.ceb.2009.01.013)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 28

    Brea EJ , Oh CY , Manchado E , et al. Kinase regulation of human MHC class I molecule expression on cancer cells. Cancer Immunol Res 2016 4 936947. (https://doi.org/10.1158/2326-6066.cir-16-0177)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 29

    Mitsutake N , Knauf JA , Mitsutake S , et al. Conditional BRAFV600E expression induces DNA synthesis, apoptosis, dedifferentiation, and chromosomal instability in thyroid PCCL3 cells. Cancer Res 2005 65 24652473. (https://doi.org/10.1158/0008-5472.can-04-3314)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 30

    Fagin JA , Krishnamoorthy GP & Landa I . Pathogenesis of cancers derived from thyroid follicular cells. Nat Rev Cancer 2023 23 631650. (https://doi.org/10.1038/s41568-023-00598-y)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 31

    Angell TE , Lechner MG , Jang JK , et al. MHC class I loss is a frequent mechanism of immune escape in papillary thyroid cancer that is reversed by interferon and selumetinib treatment in vitro. Clin Cancer Res 2014 20 60346044. (https://doi.org/10.1158/1078-0432.ccr-14-0879)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 32

    Angell TE , Lechner MG , Jang JK , et al. BRAF V600E in papillary thyroid carcinoma is associated with increased programmed death ligand 1 expression and suppressive immune cell infiltration. Thyroid 2014 24 13851393. (https://doi.org/10.1089/thy.2014.0134)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 33

    Zhang P , Guan H , Yuan S , et al. Targeting myeloid derived suppressor cells reverts immune suppression and sensitizes BRAF-mutant papillary thyroid cancer to MAPK inhibitors. Nat Commun 2022 13 1588. (https://doi.org/10.1038/s41467-022-29000-5)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 34

    Ryder M , Gild M , Hohl TM , et al. Genetic and pharmacological targeting of CSF-1/CSF-1R inhibits tumor-associated macrophages and impairs BRAF-induced thyroid cancer progression. PLoS One 2013 8 e54302. (https://doi.org/10.1371/journal.pone.0054302)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 35

    Ryder M , Ghossein RA , Ricarte-Filho JCM , et al. Increased density of tumor-associated macrophages is associated with decreased survival in advanced thyroid cancer. Endocr Relat Cancer 2008 15 10691074. (https://doi.org/10.1677/erc-08-0036)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 36

    Caillou B , Talbot M , Weyemi U , et al. Tumor-associated macrophages (TAMs) form an interconnected cellular supportive network in anaplastic thyroid carcinoma. PLoS One 2011 6 e22567. (https://doi.org/10.1371/journal.pone.0022567)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 37

    Loberg MA , Xu GJ , Chen SC , et al. An integrated single-cell and spatial transcriptomic atlas of thyroid cancer progression identifies prognostic fibroblast subpopulations. bioRxiv 2025. (https://doi.org/10.1101/2025.01.08.631962)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 38

    Charles RP , Iezza G , Amendola E , et al. Mutationally activated BRAFV600E elicits papillary thyroid cancer in the adult mouse. Cancer Res 2011 71 38633871. (https://doi.org/10.1158/0008-5472.can-10-4463)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 39

    Vitagliano D , Portella G , Troncone G , et al. Thyroid targeting of the N-ras(Gln61Lys) oncogene in transgenic mice results in follicular tumors that progress to poorly differentiated carcinomas. Oncogene 2006 25 54675474. (https://doi.org/10.1038/sj.onc.1209527)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 40

    Haling JR , Sudhamsu J , Yen I , et al. Structure of the BRAF-MEK complex reveals a kinase activity independent role for BRAF in MAPK signaling. Cancer Cell 2014 26 402413. (https://doi.org/10.1016/j.ccr.2014.07.007)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 41

    Yao Z , Torres NM , Tao A , et al. BRAF mutants evade ERK-dependent feedback by different mechanisms that determine their sensitivity to pharmacologic inhibition. Cancer Cell 2015 28 370383. (https://doi.org/10.1016/j.ccell.2015.08.001)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 42

    Rajakulendran T , Sahmi M , Lefrançois M , et al. A dimerization-dependent mechanism drives RAF catalytic activation. Nature 2009 461 542545. (https://doi.org/10.1038/nature08314)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 43

    Lito P , Pratilas CA , Joseph EW , et al. Relief of profound feedback inhibition of mitogenic signaling by RAF inhibitors attenuates their activity in BRAFV600E melanomas. Cancer Cell 2012 22 668682. (https://doi.org/10.1016/j.ccr.2012.10.009)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 44

    Chen X , Mitsutake N , LaPerle K , et al. Endogenous expression of Hras G12V induces developmental defects and neoplasms with copy number imbalances of the oncogene. Proc Natl Acad Sci U S A 2009 106 79797984. (https://doi.org/10.1073/pnas.0900343106)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 45

    Miller KA , Yeager N , Baker K , et al. Oncogenic kras requires simultaneous PI3K signaling to induce ERK activation and transform thyroid epithelial cells in vivo. Cancer Res 2009 69 36893694. (https://doi.org/10.1158/0008-5472.can-09-0024)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 46

    Scheffzek K & Shivalingaiah G . Ras-specific GTPase-Activating proteins-structures, mechanisms, and interactions. Cold Spring Harb Perspect Med 2019 9 a031500. (https://doi.org/10.1101/cshperspect.a031500)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 47

    Tong J , Hannan F , Zhu Y , et al. Neurofibromin regulates G protein–stimulated adenylyl cyclase activity. Nat Neurosci 2002 5 9596. (https://doi.org/10.1038/nn792)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 48

    Godbert Y , Henriques de Figueiredo B , Bonichon F , et al. Remarkable response to crizotinib in woman with anaplastic lymphoma kinase–rearranged anaplastic thyroid carcinoma. J Clin Oncol 2015 33 e84e87. (https://doi.org/10.1200/jco.2013.49.6596)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 49

    Hamidi S , Ning MS , Phan J , et al. Recurrent poorly differentiated thyroid cancer successfully treated with radiation and immunotherapy. JCEM Case Rep 2025 3 luaf015. (https://doi.org/10.1210/jcemcr/luaf015)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 50

    Santoro M , Moccia M , Federico G , et al. RET gene fusions in malignancies of the thyroid and other tissues. Genes 2020 11 424. (https://doi.org/10.3390/genes11040424)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 51

    Agrawal N , Akbani R , Aksoy BA , et al. Integrated genomic characterization of papillary thyroid carcinoma. Cell 2014 159 676690. (https://doi.org/10.1016/j.cell.2014.09.050)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 52

    He Y , Sun MM , Zhang GG , et al. Targeting PI3K/Akt signal transduction for cancer therapy. Signal Transduct Target Ther 2021 6 425. (https://doi.org/10.1038/s41392-021-00828-5)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 53

    Mendoza MC , Er EE & Blenis J . The Ras-ERK and PI3K-mTOR pathways: cross-talk and compensation. Trends Biochem Sci 2011 36 320328. (https://doi.org/10.1016/j.tibs.2011.03.006)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 54

    Pinto N , Ruicci KM , Khan MI , et al. Introduction and expression of PIK3CAE545K in a papillary thyroid cancer BRAFV600E cell line leads to a dedifferentiated aggressive phenotype. J Otolaryngol Head Neck Surg 2022 51 7. (https://doi.org/10.1186/s40463-022-00558-w)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 55

    Untch BR , Dos Anjos V , Garcia-Rendueles MER , et al. Tipifarnib inhibits HRAS-driven dedifferentiated thyroid cancers. Cancer Res 2018 78 46424657. (https://doi.org/10.1158/0008-5472.can-17-1925)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 56

    La Perle KMD , Jhiang SM & Capen CC . Loss of p53 promotes anaplasia and local invasion in ret/PTC1-Induced thyroid carcinomas. Am J Pathol 2000 157 671677. (https://doi.org/10.1016/s0002-9440(10)64577-4)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 57

    Nikitski AV , Rominski SL , Condello V , et al. Mouse model of thyroid cancer progression and dedifferentiation driven by STRN-ALK expression and loss of p53: evidence for the existence of two types of poorly differentiated carcinoma. Thyroid 2019 29 14251437. (https://doi.org/10.1089/thy.2019.0284)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 58

    Knauf JA , Luckett KA , Chen KY , et al. Hgf/met activation mediates resistance to BRAF inhibition in murine anaplastic thyroid cancers. J Clin Investig 2018 128 40864097. (https://doi.org/10.1172/jci120966)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 59

    Zou M , Baitei EY , Al-Rijjal RA , et al. TSH overcomes BrafV600E-induced senescence to promote tumor progression via downregulation of p53 expression in papillary thyroid cancer. Oncogene 2016 35 19091918. (https://doi.org/10.1038/onc.2015.253)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 60

    Drosten M , Sum EYM , Lechuga CG , et al. Loss of p53 induces cell proliferation via ras-independent activation of the Raf/Mek/Erk signaling pathway. Proc Natl Acad Sci U S A 2014 111 1515515160. (https://doi.org/10.1073/pnas.1417549111)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 61

    Jeggo PA , Pearl LH & Carr AM . DNA repair, genome stability and cancer: a historical perspective. Nat Rev Cancer 2016 16 3542. (https://doi.org/10.1038/nrc.2015.4)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 62

    Zhao R , Choi BY , Lee MH , et al. Implications of genetic and epigenetic alterations of CDKN2A (p16 INK4a) in cancer. EBioMedicine 2016 8 3039. (https://doi.org/10.1016/j.ebiom.2016.04.017)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 63

    Liu X , Bishop J , Shan Y , et al. Highly prevalent TERT promoter mutations in aggressive thyroid cancers. Endocr Relat Cancer 2013 20 603610. (https://doi.org/10.1530/erc-13-0210)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 64

    Landa I , Ganly I , Chan TA , et al. Frequent somatic TERT promoter mutations in thyroid cancer: higher prevalence in advanced forms of the disease. J Clin Endocrinol Metab 2013 98 E1562E1566. (https://doi.org/10.1210/jc.2013-2383)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 65

    Shi X , Liu R , Qu S , et al. Association of TERT promoter mutation 1,295,228 C>T with BRAF V600E mutation, older patient age, and distant metastasis in anaplastic thyroid cancer. J Clin Endocrinol Metab 2015 100 E632E637. (https://doi.org/10.1210/jc.2014-3606)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 66

    Melo M , da Rocha AG , Vinagre J , et al. TERT promoter mutations are a major indicator of poor outcome in differentiated thyroid carcinomas. J Clin Endocrinol Metab 2014 99 E754E765. (https://doi.org/10.1210/jc.2013-3734)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 67

    Xing M , Liu R , Liu X , et al. BRAF V600E and TERT promoter mutations cooperatively identify the Most aggressive papillary thyroid cancer with highest recurrence. J Clin Oncol 2014 32 27182726. (https://doi.org/10.1200/jco.2014.55.5094)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 68

    Chen B , Shi Y , Xu Y , et al. The predictive value of coexisting BRAFV600E and TERT promoter mutations on poor outcomes and high tumour aggressiveness in papillary thyroid carcinoma: a systematic review and meta-analysis. Clin Endocrinol 2021 94 731742. (https://doi.org/10.1111/cen.14316)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 69

    Song YS , Lim JA , Choi H , et al. Prognostic effects of TERT promoter mutations are enhanced by coexistence with BRAF or RAS mutations and strengthen the risk prediction by the ATA or TNM staging system in differentiated thyroid cancer patients. Cancer 2016 122 13701379. (https://doi.org/10.1002/cncr.29934)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 70

    McKelvey BA , Zeiger MA & Umbricht CB . Characterization of TERT and BRAF copy number variation in papillary thyroid carcinoma: an analysis of the cancer genome atlas study. Genes Chromosomes Cancer 2021 60 403409. (https://doi.org/10.1002/gcc.22928)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 71

    Montero-Conde C , Leandro-García LJ , Martínez-Montes ÁM , et al. Comprehensive molecular analysis of immortalization hallmarks in thyroid cancer reveals new prognostic markers. Clin Transl Med 2022 12 e1001. (https://doi.org/10.1002/ctm2.1001)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 72

    Yuan X , Larsson C & Xu D . Mechanisms underlying the activation of TERT transcription and telomerase activity in human cancer: old actors and new players. Oncogene 2019 38 61726183. (https://doi.org/10.1038/s41388-019-0872-9)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 73

    Martínez P & Blasco MA . Telomeric and extra-telomeric roles for telomerase and the telomere-binding proteins. Nat Rev Cancer 2011 11 161176. (https://doi.org/10.1038/nrc3025)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 74

    Yu P , Qu N , Zhu R , et al. TERT accelerates BRAF mutant–induced thyroid cancer dedifferentiation and progression by regulating ribosome biogenesis. Sci Adv 2023 9 eadg7125. (https://doi.org/10.1126/sciadv.adg7125)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 75

    Song YS , Yoo SK , Kim HH , et al. Interaction of BRAF-induced ETS factors with mutant TERT promoter in papillary thyroid cancer. Endocr Relat Cancer 2019 26 629641. (https://doi.org/10.1530/erc-17-0562)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 76

    Krishnamoorthy GP , Davidson NR , Leach SD , et al. EIF1AX and RAS mutations cooperate to drive thyroid tumorigenesis through ATF4 and c-MYC. Cancer Discov 2019 9 264281. (https://doi.org/10.1158/2159-8290.cd-18-0606)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 77

    Cheng Y , He C , Wang M , et al. Targeting epigenetic regulators for cancer therapy: mechanisms and advances in clinical trials. Signal Transduct Target Ther 2019 4 62. (https://doi.org/10.1038/s41392-019-0095-0)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 78

    Mittal P & Roberts CWM . The SWI/SNF complex in cancer – biology, biomarkers and therapy. Nat Rev Clin Oncol 2020 17 435448. (https://doi.org/10.1038/s41571-020-0357-3)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 79

    Ravi N , Yang M , Mylona N , et al. Global RNA expression and DNA methylation patterns in primary anaplastic thyroid cancer. Cancers 2020 12 680. (https://doi.org/10.3390/cancers12030680)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 80

    Schagdarsurengin U , Gimm O , Dralle H , et al. CpG Island methylation of tumor-related promoters occurs preferentially in undifferentiated carcinoma. Thyroid 2006 16 633642. (https://doi.org/10.1089/thy.2006.16.633)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 81

    Hou P , Ji M & Xing M . Association of PTEN gene methylation with genetic alterations in the phosphatidylinositol 3-kinase/AKT signaling pathway in thyroid tumors. Cancer 2008 113 24402447. (https://doi.org/10.1002/cncr.23869)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 82

    Xing M , Usadel H , Cohen Y , et al. Methylation of the thyroid-stimulating hormone receptor gene in epithelial thyroid tumors: a marker of malignancy and a cause of gene silencing. Cancer Res 2003 63 23162321.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 83

    Saqcena M , Leandro-Garcia LJ , Maag JLV , et al. SWI/SNF complex mutations promote thyroid tumor progression and insensitivity to redifferentiation therapies. Cancer Discov 2021 11 11581175. (https://doi.org/10.1158/2159-8290.cd-20-0735)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 84

    Álvarez-Fernández M & Malumbres M . Mechanisms of sensitivity and resistance to CDK4/6 inhibition. Cancer Cell 2020 37 514529. (https://doi.org/10.1016/j.ccell.2020.03.010)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 85

    Lord CJ & Ashworth A . PARP inhibitors: synthetic lethality in the clinic. Science 2017 355 11521158. (https://doi.org/10.1126/science.aam7344)

  • 86

    Boucai L , Zafereo M & Cabanillas ME . Thyroid cancer. JAMA 2024 331 425. (https://doi.org/10.1001/jama.2023.26348)

  • 87

    Subbiah V , Kreitman RJ , Wainberg ZA , et al. Dabrafenib plus trametinib in patients with BRAF V600E-mutant anaplastic thyroid cancer: updated analysis from the phase II ROAR basket study. Ann Oncol 2022 33 406415. (https://doi.org/10.1016/j.annonc.2021.12.014)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 88

    Poulikakos PI , Sullivan RJ & Yaeger R . Molecular pathways and mechanisms of BRAF in cancer therapy. Clin Cancer Res 2022 28 46184628. (https://doi.org/10.1158/1078-0432.ccr-21-2138)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 89

    Karoulia Z , Wu Y , Ahmed TA , et al. An integrated model of RAF inhibitor action predicts inhibitor activity against oncogenic BRAF signaling. Cancer Cell 2016 30 485498. (https://doi.org/10.1016/j.ccell.2016.06.024)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 90

    Hatzivassiliou G , Song K , Yen I , et al. RAF inhibitors prime wild-type RAF to activate the MAPK pathway and enhance growth. Nature 2010 464 431435. (https://doi.org/10.1038/nature08833)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 91

    Poulikakos PI , Zhang C , Bollag G , et al. RAF inhibitors transactivate RAF dimers and ERK signalling in cells with wild-type BRAF. Nature 2010 464 427430. (https://doi.org/10.1038/nature08902)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 92

    Lavoie H , Thevakumaran N , Gavory G , et al. Inhibitors that stabilize a closed RAF kinase domain conformation induce dimerization. Nat Chem Biol 2013 9 428436. (https://doi.org/10.1038/nchembio.1257)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 93

    Montero-Conde C , Ruiz-Llorente S , Dominguez JM , et al. Relief of feedback inhibition of HER3 transcription by RAF and MEK inhibitors attenuates their antitumor effects in BRAF -Mutant thyroid carcinomas. Cancer Discov 2013 3 520533. (https://doi.org/10.1158/2159-8290.cd-12-0531)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 94

    Garcia-Rendueles MER , Krishnamoorthy G , Saqcena M , et al. Yap governs a lineage-specific neuregulin1 pathway-driven adaptive resistance to RAF kinase inhibitors. Mol Cancer 2022 21 213. (https://doi.org/10.1186/s12943-022-01676-9)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 95

    Dummer R , Ascierto PA , Gogas HJ , et al. Overall survival in patients with BRAF-mutant melanoma receiving encorafenib plus binimetinib versus vemurafenib or encorafenib (COLUMBUS): a multicentre, open-label, randomised, phase 3 trial. Lancet Oncol 2018 19 13151327. (https://doi.org/10.1016/s1470-2045(18)30497-2)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 96

    Hyman DM , Puzanov I , Subbiah V , et al. Vemurafenib in multiple nonmelanoma cancers with BRAF V600 mutations. N Engl J Med 2015 373 726736. (https://doi.org/10.1056/nejmoa1502309)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 97

    Hanrahan AJ , Chen Z , Rosen N , et al. BRAF – a tumour-agnostic drug target with lineage-specific dependencies. Nat Rev Clin Oncol 2024 21 224247. (https://doi.org/10.1038/s41571-023-00852-0)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 98

    Cabanillas ME , Dadu R , Iyer P , et al. Acquired secondary RAS mutation in BRAF V600E -mutated thyroid cancer patients treated with BRAF inhibitors. Thyroid 2020 30 12881296. (https://doi.org/10.1089/thy.2019.0514)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 99

    Hofmann MC , Kunnimalaiyaan M , Wang JR , et al. Molecular mechanisms of resistance to kinase inhibitors in thyroid cancers. Endocr Relat Cancer 2022 29 R173R190. (https://doi.org/10.1530/erc-22-0129)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 100

    Lee M , Untch BR , Xu B , et al. Genomic and transcriptomic correlates of thyroid carcinoma evolution after BRAF inhibitor therapy. Mol Cancer Res 2022 20 4555. (https://doi.org/10.1158/1541-7786.mcr-21-0442)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 101

    Danysh BP , Rieger EY , Sinha DK , et al. Long-term vemurafenib treatment drives inhibitor resistance through a spontaneous KRAS G12D mutation in a BRAF V600E papillary thyroid carcinoma model. Oncotarget 2016 7 3090730923. (https://doi.org/10.18632/oncotarget.9023)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 102

    Tkacik E , Li K , Gonzalez-Del Pino G , et al. Structure and RAF family kinase isoform selectivity of type II RAF inhibitors tovorafenib and naporafenib. J Biol Chem 2023 299 104634. (https://doi.org/10.1016/j.jbc.2023.104634)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 103

    Monaco KA , Delach S , Yuan J , et al. LXH254, a potent and selective ARAF-sparing inhibitor of BRAF and CRAF for the treatment of MAPK-driven tumors. Clin Cancer Res 2021 27 20612073. (https://doi.org/10.1158/1078-0432.ccr-20-2563)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 104

    Yen I , Shanahan F , Lee J , et al. ARAF mutations confer resistance to the RAF inhibitor belvarafenib in melanoma. Nature 2021 594 418423. (https://doi.org/10.1038/s41586-021-03515-1)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 105

    de Braud F , Dooms C , Heist RS , et al. Initial evidence for the efficacy of naporafenib in combination with trametinib in NRAS -Mutant melanoma: results from the expansion arm of a phase Ib, open-label study. J Clin Oncol 2023 41 26512660. (https://doi.org/10.1200/jco.22.02018)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 106

    Shin SJ , Lee J , Kim TM , et al. A phase Ib trial of belvarafenib in combination with cobimetinib in patients with advanced solid tumors: interim results of dose-escalation and patients with NRAS-Mutant melanoma of dose-expansion. J Clin Oncol 2021 39 (Supplement 15) 3007. (https://doi.org/10.1200/jco.2021.39.15_suppl.3007)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 107

    Planchard D , Wolf J , Solomon B , et al. A phase Ib study of the combination of naporafenib with rineterkib or trametinib in patients with advanced and metastatic KRAS- or BRAF-mutant non-small cell lung cancer. Lung Cancer 2024 197 107964. (https://doi.org/10.1016/j.lungcan.2024.107964)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 108

    Kilburn LB , Khuong-Quang DA , Hansford JR , et al. The type II RAF inhibitor tovorafenib in relapsed/refractory pediatric low-grade glioma: the phase 2 FIREFLY-1 trial. Nat Med 2024 30 207217. (https://doi.org/10.1038/s41591-023-02668-y)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 109

    Zeng PYF , Meens J , Pan H , et al. Understanding and overcoming innate and acquired MAPK-inhibition resistance in anaplastic thyroid cancer. medRxiv 2024. (https://doi.org/10.1101/2024.12.04.24318267)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 110

    Mehnert JM , Varga A , Brose MS , et al. Safety and antitumor activity of the anti–PD-1 antibody pembrolizumab in patients with advanced, PD-L1–positive papillary or follicular thyroid cancer. BMC Cancer 2019 19 196. (https://doi.org/10.1186/s12885-019-5380-3)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 111

    Oh D , Algazi A , Capdevila J , et al. Efficacy and safety of pembrolizumab monotherapy in patients with advanced thyroid cancer in the phase 2 KEYNOTE-158 study. Cancer 2023 129 11951204. (https://doi.org/10.1002/cncr.34657)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 112

    Lu L , Wang JR , Henderson YC , et al. Anaplastic transformation in thyroid cancer revealed by single-cell transcriptomics. J Clin Investig 2023 133 e169653. (https://doi.org/10.1172/jci169653)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 113

    Luo H , Xia X , Kim GD , et al. Characterizing dedifferentiation of thyroid cancer by integrated analysis. Sci Adv 2021 7 eabf3657. (https://doi.org/10.1126/sciadv.abf3657)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 114

    Liao T , Zeng Y , Xu W , et al. A spatially resolved transcriptome landscape during thyroid cancer progression. Cell Rep Med 2025 6 102043. (https://doi.org/10.1016/j.xcrm.2025.102043)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 115

    Han PZ , Ye WD , Yu PC , et al. Distinct tumor microenvironment makes anaplastic thyroid cancer more lethal but immunotherapy-sensitive than papillary thyroid cancer. JCI Insight 2024 9 e173712. (https://doi.org/10.1172/jci.insight.173712)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 116

    Tiedje V , Greenberg J , Qin T , et al. Loss of tumor cell MHC class II drives insensitivity of BRAF-mutant anaplastic thyroid cancers to MAPK inhibitors. bioRxiv 2025. (https://doi.org/10.1101/2025.01.27.635086)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 117

    Giannini R , Moretti S , Ugolini C , et al. Immune profiling of thyroid carcinomas suggests the existence of two major phenotypes: an ATC-like and a PDTC-like. J Clin Endocrinol Metab 2019 104 35573575. (https://doi.org/10.1210/jc.2018-01167)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 118

    Capdevila J , Wirth LJ , Ernst T , et al. PD-1 blockade in anaplastic thyroid carcinoma. J Clin Oncol 2020 38 26202627. (https://doi.org/10.1200/jco.19.02727)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 119

    Capdevila Castillon J , Plana M , Castelo B , et al. 1645O Durvalumab (D) plus tremelimumab (T) for the treatment of patients with progressive, refractory advanced thyroid carcinoma: the DUTHY (GETNE-T1812) trial. Ann Oncol 2022 33 S1294S1295. (https://doi.org/10.1016/j.annonc.2022.07.1725)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 120

    Sehgal K , Pappa T , Shin KY , et al. Dual immune checkpoint inhibition in patients with aggressive thyroid carcinoma. JAMA Oncol 2024 10 16631671. (https://doi.org/10.1001/jamaoncol.2024.4019)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 121

    Boumahdi S & de Sauvage FJ . The great escape: tumour cell plasticity in resistance to targeted therapy. Nat Rev Drug Discov 2020 19 3956. (https://doi.org/10.1038/s41573-019-0044-1)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 122

    Hamidi S , Iyer PC , Dadu R , et al. Checkpoint inhibition in addition to dabrafenib/trametinib for BRAF V600E -Mutated anaplastic thyroid carcinoma. Thyroid 2024 34 336346. (https://doi.org/10.1089/thy.2023.0573)

    • PubMed
    • Search Google Scholar
    • Export Citation