Abstract
Thyroid cancer is the most common type of endocrine malignancy. Initiation and progression of thyroid cancer involves multiple genetic and epigenetic alterations, of which mutations leading to the activation of the MAPK and PI3K/PTEN/AKT signaling pathways are crucial for tumor initiation and progression. Common mutations found in thyroid cancer are point mutations of the BRAF and RAS genes, as well as RET/PTC and PAX8/PPARG chromosomal rearrangements. More recently, a number of other mutations have been characterized, which occur in this cancer type with significantly lower frequency, but are associated with specific phenotypic and biological properties. These somatic mutations are useful diagnostic and prognostic markers for thyroid cancer and are being incorporated into clinical practice, offering a valuable tool for management of patients with thyroid nodules and cancer.
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Introduction
Thyroid cancer is the most common endocrine malignancy, with a steadily growing incidence in the USA and other industrialized countries [1, 2]. The vast majority of thyroid tumors originate from follicular epithelial cells. The follicular cell-derived cancers are further subdivided into well-differentiated papillary carcinoma and follicular carcinoma, poorly differentiated carcinoma, and anaplastic (undifferentiated) carcinoma (Fig. 36.1) [3, 4]. Papillary carcinoma is the most common thyroid malignancy (80–85 %). In addition to classic-type papillary carcinoma, common histopathologic variants are microcarcinoma, follicular variant, and tall cell variant. Follicular carcinomas account for approximately 15 % of thyroid cancers and are subdivided into conventional type and oncocytic (Hürthle) type. Follicular adenoma is a benign tumor that is considered a precursor for follicular carcinomas (Fig. 36.1). Less differentiated thyroid cancers, i.e., poorly differentiated carcinoma and anaplastic carcinoma, can develop de novo, although many arise through the process of stepwise dedifferentiation of papillary and follicular carcinomas (Fig. 36.1). Medullary thyroid carcinoma originates from thyroid parafollicular or C cells, accounts for 3–5 % of thyroid cancers, can be a manifestation of an inherited genetic disease, and, therefore, is not discussed in this chapter.
Thyroid cancer occurs in thyroid nodules. Thyroid nodules are common in adults, particularly with increased age, and are typically detected by palpation or imaging [5–7]. However, most nodules are benign, and the rate of cancer in medically evaluated thyroid nodules ranges from 5–15 % [7–9]. A clinical challenge is to accurately diagnose cancer in these nodules and to avoid unnecessary thyroid surgery for benign disease. Sampling of thyroid nodules using fine needle aspiration (FNA) under ultrasound guidance followed by subsequent cytologic examination is the most accurate and widely used diagnostic tool at this time. FNA provides a definitive diagnosis of a malignant or benign nodule in the majority of cases. However, in about 25 % of nodules, FNA cytology cannot reliably exclude cancer, and such cases are placed in one of the indeterminate categories, hampering clinical management of these patients [6, 8, 10, 11]. By the current Bethesda System for Reporting Thyroid Cytopathology, the indeterminate categories include three specific cytologic diagnoses: atypia of undetermined significance/follicular lesion of undetermined significance (AUS/FLUS); follicular or oncocytic (Hürthle cell) neoplasm/suspicious for follicular or oncocytic (Hürthle cell) neoplasm (FN/SFN); and suspicious for malignant cells (SMC), with a predicted probability of cancer of 5–15 %, 15–30 %, and 60–75 %, respectively [12, 13]. Because FNA is unable to provide a definitive diagnosis for these indeterminate nodules, most patients with indeterminate cytology undergo diagnostic surgery to establish a histopathologic diagnosis. However, only 10–40 % of surgically resected indeterminate thyroid nodules are malignant [12]. The unneeded operations, with their attendant expenses and risks, may be avoided if the FNA procedure could reliably establish the presurgical diagnosis of a benign nodule. Additionally, since the standard of care is to offer a second surgery for total thyroidectomy if the diagnostic lobectomy confirms a cancer, a more optimal surgical management would be a single total thyroidectomy procedure that is planned when the diagnosis of cancer is established preoperatively.
Although well-differentiated thyroid cancer is a disease with an overall favorable outcome, some tumors entail a substantially worse prognosis and have to be treated more aggressively [14–16]. Multiple prognostic systems for differentiated thyroid cancer based on demographic and pathologic factors exist [17], but none of the systems accurately stratify thyroid tumors into appropriate risk categories. The rapidly expanding knowledge of the molecular genetics of thyroid cancer is being translated into clinical practice, offering significant improvement in the accuracy of the preoperative diagnosis of thyroid cancer and better tumor prognosis.
Molecular Basis of Disease
Thyroid cancer initiation and progression occurs through gradual accumulation of genetic and epigenetic alterations, including activating and inactivating somatic mutations, alteration in gene expression patterns, and miRNA dysregulation. Most mutations in thyroid cancer involve the effectors of the mitogen-activated protein kinase (MAPK) signaling pathway and the PI3K/PTEN/AKT signaling pathway (Fig. 36.2). Critical genes are frequently mutated in thyroid cancer via two distinct molecular mechanisms, point mutation or chromosomal rearrangement. MAPK activation frequently occurs via mutations in the cell membrane receptor tyrosine kinases RET and NTRK1, which are involved in chromosomal rearrangements, or through intracellular signal transducers BRAF and RAS, which are typically activated as a result of a point mutation. These mutually exclusive mutations occur in approximately 70 % of papillary thyroid carcinomas (Table 36.1) [18–21]. In follicular carcinomas, mutations in the RAS genes are the most common, followed by PAX8/PPARG rearrangement. Thyroid cancer progression and dedifferentiation involves a number of additional mutations that affect the PI3K/PTEN/AKT signaling pathway and other cell signaling pathways (Table 36.1).
BRAF Mutations
BRAF is a serine-threonine kinase that is activated by RAS binding and protein recruitment to the cell membrane. BRAF phosphorylation leads to activation of MEK and other downstream targets along the MAPK signaling pathway (Fig. 36.2). In thyroid cancer, BRAF can be activated by point mutations, small in-frame deletions or insertions, or chromosomal rearrangement. The most common mechanism of activation is a point mutation of a thymine to adenine substitution at nucleotide 1799 (c.T1799A), resulting in a substitution of valine to glutamate at residue 600 (p.V600E) [19, 22]. The BRAF V600E mutation constitutes 95–99 % of all BRAF mutations found in thyroid cancer. Other alterations are BRAF p.K601E point mutation and small in-frame insertions or deletions surrounding codon 600 [23–26], as well as AKAP9/BRAF rearrangement [27]. The BRAF rearrangement seen in thyroid carcinomas is a paracentric inversion of chromosome 7q leading to the fusion of 3′ portion of the BRAF gene to the 5′ portion of the AKAP9 gene and is more common in papillary carcinomas associated with radiation exposure [27]. More recently, several other fusion partners of BRAF have been identified in papillary carcinomas [28].
BRAF V600E is the most common genetic alteration in papillary thyroid carcinoma and is found in approximately 45 % of papillary thyroid tumors (Table 36.1) [29]. BRAF V600E also occurs in 10–20 % of poorly differentiated carcinomas and 30–40 % of anaplastic carcinomas arising from papillary carcinoma [30–33]. This mutation is typically found in papillary carcinomas with classic papillary histology and in the tall cell variant and is rare in the follicular variant of papillary carcinoma [18, 29]. In contrast, tumors with the BRAF K601E mutation are typically the follicular variant of papillary carcinoma [26]. BRAF V600E is not found in follicular carcinomas and benign thyroid nodules and therefore, among primary thyroid lesions, represents a specific marker of papillary carcinoma and related tumor types.
RAS Mutations
Point mutations of RAS are found in follicular carcinomas, papillary carcinomas, and follicular adenomas. Human HRAS, KRAS, and NRAS genes encode highly related G proteins that reside at the inner surface of the cell membrane and propagate signals arising from cell membrane receptors and G-protein-coupled receptors along the MAPK, PI3K/AKT, and other signaling pathways. Activating point mutations typically affect codons 12, 13, and 61 of the RAS genes. In thyroid cancer, NRAS codon 61 and HRAS codon 61 mutations are most common, followed by KRAS codon 12 and 13, although mutations have been found in different hot spots of all three genes. RAS mutations are present in 10–20 % of papillary carcinomas, 40–50 % of follicular carcinomas, and 20–40 % of poorly differentiated and anaplastic carcinomas [34–40]. Among papillary carcinomas, virtually all tumors with a RAS mutation belong to the follicular variant [18, 31]. RAS mutations also occur in 20–40 % of benign follicular adenomas [35, 36]. The finding of RAS mutations in benign adenomas as well as in follicular-patterned carcinomas suggests that RAS mutation positive follicular adenomas may serve as a precursor for RAS mutation positive follicular carcinoma and follicular variant of papillary carcinomas. Furthermore, RAS mutation may predispose well-differentiated cancers to dedifferentiation and anaplastic transformation [41–44]. Therefore, detection of this mutation at early stages may guide the therapy to prevent tumor progression.
RET/PTC Rearrangements
The RET/PTC chromosomal rearrangement is a characteristic of papillary thyroid cancer [45]. The rearrangement forms a fusion between the 3′ portion of the RET receptor tyrosine kinase gene and the 5′ portion of different partner genes. All chimeric genes contain the intact tyrosine kinase domain of RET fused to an active promoter of another gene that drives the expression and ligand-independent dimerization of the RET/PTC protein, leading to chronic stimulation of MAPK signaling (Fig. 36.2) [46–48]. The two most common fusions, RET/PTC1 and RET/PTC3, are paracentric inversions since both RET and its respective fusion partners, CCDC6 (H4) and NCOA4 (ELE1), reside on the long arm of chromosome 10. In contrast, RET/PTC2 and nine more recently discovered types of RET/PTC fusions are all interchromosomal rearrangements formed by RET fusion to genes located on different chromosomes (Table 36.2) [49].
RET/PTC is found in approximately 10–20 % of adult sporadic papillary carcinomas [18, 49] but occurs with higher incidence in patients with a history of radiation exposure (50–80 %) and in papillary carcinomas from children and young adults (40–70 %) [50–52]. The distribution of RET/PTC rearrangement within the tumor may be quite heterogeneous, varying from involving almost all neoplastic cells (clonal RET/PTC) to being detected only in a small fraction of tumor cells (non-clonal RET/PTC) [53, 54]. Although a low level of RET/PTC rearrangement has been reported in adenomas and other benign thyroid lesions in studies that used ultrasensitive detection techniques, the clonal RET/PTC (i.e., rearrangement that is found in most cells within the tumor) is specific for papillary thyroid carcinoma [49, 53]. Proper techniques for the clinically relevant detection of RET/PTC are discussed later in the chapter. Among different rearrangement types, RET/PTC1 is typically the most common, followed by RET/PTC3, whereas RET/PTC2 and other novel rearrangement types are rare (Table 36.2) [49].
NTRK1 and NTRK3 Rearrangements
Chromosomal rearrangements involving the NTRK1 and NTRK3 receptor tyrosine kinase genes also occur in papillary thyroid carcinomas, although with a significantly lower prevalence. The NTRK1 gene resides on chromosome 1q22 and can be fused to at least three different partner genes located on the same or different chromosomes, leading to the TRK rearrangement (Table 36.2) [55–57]. NTRK rearrangements occur in less than 5 % of papillary thyroid carcinomas [28]. Fusions involving another NTRK family gene, NTRK3, also occur in papillary thyroid cancer. ETV6-NTRK3 fusions occur in approximately 2 % of sporadic papillary thyroid cancers and with a significantly higher prevalence (approximately 15 %) in tumors associated with exposure to ionizing radiation [28, 58].
ALK Rearrangements
Recently, rearrangements involving the ALK gene were identified in thyroid cancer. The most common fusion partner of ALK is the striatin (STRN) gene [59]. ALK fusions are found in 1–2 % of papillary carcinomas and with higher frequency (5–10 %) in poorly differentiated and anaplastic thyroid cancers [28, 59].
PPARG Rearrangements
PAX8/PPARG rearrangement is a t(2;3)(q13;p25) translocation that leads to fusion between a portion of the PAX8 gene, which encodes a paired domain transcription factor, and the peroxisome proliferator-activated receptor (PPARG) gene [60]. PAX8/PPARG rearrangement leads to strong overexpression of the PPARG protein, although the mechanisms of cell transformation induced by this genetic event are not understood. Several types of PAX8/PPARG rearrangement occur, formed by the fusion of four PAX8 gene regions (exons 1–7, 1–8, 1–9, or 1–7 plus 9) to PPARG exons 1–6. These different PAX8 gene region fusions are apparently a result of the alternate splicing involving exons 8 and 9 known to affect the wild-type PAX8. The most commonly expressed PAX8/PPARG transcripts in follicular thyroid carcinomas contain exons 1–9 and 1–7 plus 9 of PAX8. In addition to PAX8/PPARG, the PPARG gene can fuse with the CREB3L2 gene; however, this type of fusion is rare (Table 36.2) [61].
PAX8/PPARG is characteristically found in 30–35 % of follicular thyroid carcinoma [62–64]. This rearrangement also occurs in a small proportion (1–5 %) of the follicular variant of papillary carcinomas and in some (2–13 %) follicular adenomas [62–66]. Follicular adenomas with a PAX8/PPARG rearrangement typically have a thick capsule and show the immunohistochemical profile characteristic of thyroid cancer, suggesting preinvasive (in situ) follicular carcinomas or malignant tumors where invasion was overlooked during histological examination [63]. PAX8/PPARG rearrangements and RAS point mutations rarely occur in the same tumor, suggesting that they represent distinct oncogenic pathways in the development of follicular thyroid carcinoma [63].
TERT Mutations
Mutations of the telomerase reverse transcriptase (TERT) gene promoter were first described in melanoma at two specific hot spots (chr5:1295228C → T, termed C228T, and chr5:1295250C → T, termed C250T) and lead to increased transcriptional activity and expression of the gene [67, 68]. The C228T and C250T TERT promoter mutations occur with variable prevalence in different types of thyroid cancer and have strong association with tumor recurrence, distant metastasis, and tumor-related mortality [69–72]. TERT mutations are not found in benign thyroid nodules and therefore are useful diagnostically; they can also play a role in prognostication of thyroid cancer.
Mutations Associated with Tumor Dedifferentiation
Thyroid cancer progression and dedifferentiation is more frequent in tumors with BRAF and RAS mutations and typically involves the accumulation of additional genetic alterations (Table 36.1). Point mutations affecting the TP53 gene are very common in anaplastic carcinomas (50–80 % of cases) [73–76] but less frequent in poorly differentiated carcinomas and extremely rare in well-differentiated thyroid cancer. TP53 mutations are most common in exons 5–8 and lead to loss of function of this important cell cycle regulator. The CTNNB1 gene frequently mutates in anaplastic carcinoma and encodes β-catenin that is involved in cell adhesion and the wingless (Wnt) signaling. Point mutations in exon 3 of CTNNB1 occur in up to 60 % of anaplastic carcinomas and with lower prevalence in poorly differentiated thyroid carcinomas [77, 78]. In addition, mutations in PIK3CA, PTEN, and AKT1 genes are found in anaplastic and poorly differentiated carcinomas, but they are less common [33, 79–82].
Gene Expression and miRNA Expression
Thyroid papillary carcinomas and other types of thyroid cancer have distinct alterations in gene expression [21, 83–86]. Gene expression changes include downregulation of genes responsible for specialized thyroid function such as thyroid hormone synthesis, upregulation of many genes involved in cell adhesion, motility, cell-cell interaction, and different patterns of deregulation of genes coding for cytokines and other proteins involved in inflammation and immune response. Among papillary carcinomas, different mRNA expression profiles correlate with classic papillary histology, follicular variant, and tall cell variant [83, 87]. Moreover, presence of BRAF, RAS, RET/PTC, and NTRK1 mutations correlates with different patterns of gene expression, providing a molecular basis for distinct phenotypic and biologic features associated with each mutation type [21, 83].
Many miRNAs are deregulated in thyroid cancer [88–91]. Generally, miRNA expression profiles are different between papillary carcinoma, follicular carcinoma, and other types of thyroid tumors [92]. Several specific miRNAs, such as miR-146b, miR-221, and miR-222, have increased expression in papillary carcinomas and may play a role in the development of these tumors [89, 91, 92]. Possible target genes for these miRNAs are the regulator of the cell cycle p27(Kip1) gene and the thyroid hormone receptor (THRB) gene [93, 94]. Several abnormally expressed miRNAs were found in follicular carcinomas (miR-197, miR-346, miR-155, miR-224) [90, 95] and anaplastic carcinomas (miR-30d, miR-125b, miR-26a, and miR-30a-5p) [96].
Clinical Utility of Testing
Preoperative Diagnosis of Thyroid Cancer
Molecular markers are helpful in improving the preoperative diagnosis of cancer in thyroid nodules. Despite the high diagnostic value of FNA cytology, it cannot reliably diagnose cancer in 20–30 % of nodules, and such cases are considered as indeterminate for malignancy. The inability to rule out cancer in these nodules leads to diagnostic lobectomy for most of these patients, although most surgically removed thyroid nodules are benign [12]. Additionally, those patients that are found to have cancer on surgery have to undergo a second surgery to complete thyroidectomy. Both the unnecessary surgeries and two-step surgical management can be avoided with more accurate preoperative diagnosis of cancer. The current American Thyroid Association’s management guidelines recommend testing for mutational markers for nodules with indeterminate FNA cytology to help guide clinical management [97].
Mutational markers that have been most extensively validated and clinically used for preoperative diagnosis of thyroid cancer in FNA samples include BRAF and RAS point mutations and RET/PTC, PAX8/PPARG, and NTRK1 rearrangements [98–101]. Finding of any of these mutations in thyroid FNA samples is a strong predictor of malignancy in thyroid nodules irrespective of the cytological diagnosis [98–100]. BRAF mutation has been studied most extensively, and in a meta-analysis of 22 studies of thyroid FNA samples, BRAF mutation correlated with malignant outcome in 99.3 % of cases [102]. The presence of a RET/PTC or PAX8/PPARG rearrangement also correlates with malignancy in close to 100 % of cases. Therefore, patients with these mutations would be candidates for total thyroidectomy irrespective of the cytologic diagnosis (Fig. 36.3). This would eliminate the need for intraoperative pathology consultation and subsequent second surgery for complete thyroidectomy, reducing costs and additional morbidity. Detection of a RAS mutation, which is the second most common mutation after BRAF, conferred a 74–87 % probability of malignancy [98, 99, 103]. Importantly, RAS mutations are found in tumors which are difficult to diagnose by cytology alone, i.e., follicular variant of papillary carcinoma and follicular carcinoma [104]. The remaining RAS-positive nodules are diagnosed as a benign follicular adenoma, which is most likely a precursor lesion for follicular carcinoma [63]. Therefore, surgical removal of follicular adenomas that carry this oncogenic mutation by lobectomy may be considered as justifiable to prevent tumor progression.
Testing for a seven-gene panel (BRAF, NRAS, HRAS, KRAS, RET/PTC1, RET/PTC3, and PAX8/PPARG) is particularly helpful in nodules with indeterminate cytology. In a prospective study of 1,056 consecutive thyroid FNA samples with indeterminate cytology, detection of any mutation in specific categories of indeterminate cytology, i.e., AUS/FLUS, FN/SFN, and SMC, conferred a risk of histologic malignancy in 88 %, 87 %, and 95 % of nodules, respectively [103]. The risk of cancer in mutation-negative nodules was 6 % in the AUS/FLUS group, 14 % in FN/SFN, and 28 % in SMC [103]. The clinical algorithm outlined in Fig. 36.3 recommends that any positive result in the mutational panel is an indication for total thyroidectomy in all categories of indeterminate cytology as the initial surgical approach [103]. This avoids a repeat of FNA and proceeds with optimal surgical management without delay. This clinical approach also eliminates the need for the current two-step surgery, i.e., diagnostic lobectomy followed by completion thyroidectomy for most patients with malignant nodules. In a series of 471 patients with thyroid nodules that had indeterminate cytology (AUS/FLUS or FN/SFN), patients with no access to mutation testing were 2.5-fold more likely to require a two-stage surgery [105]. A mutation-negative result of the seven-gene panel does not eliminate the risk of cancer, as expected based on its sensitivity of approximately 70 %. Therefore, diagnostic lobectomy is justified as the initial surgical intervention for mutation-negative nodules with FN/SFN and SMC cytology, whereas conservative management with ultrasound follow-up and repeat FNA can be considered for nodules with AUS/FLUS cytology (Fig. 36.3). Although larger gene panels are available, even the seven-gene panel, when applied routinely to thyroid FNA samples with indeterminate cytology, leads to an overall cost saving for patients with thyroid nodules due to the up-front offering of optimal surgical management [106].
The expansion of knowledge on driver mutations in thyroid cancer and the availability of new high-throughput technologies for simultaneous detection of multiple genetic mutations provided the basis for expanding gene panels for thyroid FNA samples. A 12-gene panel of selected gene regions from AKT1, BRAF, CTNNB1, GNAS, PIK3CA, TP53, TSHR, PTEN, HRAS, KRAS, NRAS, and RET (e.g., ThyroSeq [107]) utilizes next generation sequencing (NGS) to expand the original seven-gene panel and test for mutations in additional genes implicated in thyroid tumors. Detection of additional mutations together with higher sensitivity of detecting all mutations offered increased test performance. A study on 228 thyroid nodule samples including 51 FNA samples showed accurate detection of multiple mutations with a sensitivity of 3–5 % [107]. Common BRAF and RAS mutations were identified at low level in 27 tumors by NGS, which were not detected by the Sanger sequencing. This indicates that NGS-based panels not only can assess additional genes and hot spots mutations in a single test but also detect common driver mutations at a higher rate, thereby increasing the sensitivity and negative predictive value (NPV) of cancer detection in thyroid nodules [107]. Although most thyroid tumors had a single oncogenic mutation, this panel identified 2–3 mutations in each of the nine tumors, most of which presented at a higher stage, with dedifferentiation on histopathology [107]. As a result, identification of multiple mutations may be used to preoperatively identify those patients that need a significantly more aggressive treatment plan to maximize the chances for disease cure.
Commercially available NGS gene panels, such as AmpliSeq, contain many of the genes important to thyroid carcinogenesis. One study analyzed 34 indeterminate FNA samples using DNA obtained from cell blocks or from stained smears and tested them for mutations in 50 genes (AmpliSeq panel) [108]. Mutations in BRAF, NRAS, KRAS, and PTEN were detected in these samples, and the presence of a mutation in any of these genes was a strong indicator of cancer. In this study, the residual risk of cancer in nodules with indeterminate cytology and a negative molecular test result was 8 %.
Expansion of the gene panels to include additional and more recently discovered point mutations and gene fusions further increases the sensitivity and overall performance of gene tests for cancer diagnosis in thyroid nodules. An NGS gene panel that includes 56 genes and gene fusions (ThyroSeq® v.2, UPMC/CBLPath, Rye Brook, NY) was validated with 143 thyroid nodules with FN/SFN cytology and known surgical outcome and showed both high sensitivity (90 %) and specificity (93 %) for cancer detection, with the NPV of 96 % [109]. Based on the high sensitivity and specificity, the NPV and positive predictive value (PPV) are expected to remain high in a broad range of cancer prevalence in the tested population.
Another approach to cancer detection in thyroid nodules is through the analysis of gene expression changes associated with cancer development. A commercial test, known as Afirma Thyroid FNA Analysis (Veracyte, South San Francisco, CA), utilizes the mRNA expression profiles of 142 genes to classify indeterminate thyroid nodules into a benign or suspicious category using a proprietary algorithm [110, 111]. This test was validated in a multi-institutional prospective double-blind study that included 265 nodules with indeterminate cytology [111]. The study showed high NPV in nodules with AUS/FLUS (95 %) and FN/SFN (94 %) cytology, whereas the PPV remained low (38 % for AUS/FLUS and 37 % for FN/SFN) [111]. High NPV suggests that this test is particularly helpful as a “rule-out” test, thereby helping to avoid unnecessary surgeries [112, 113].
Prognostic and Treatment Implications
Among prognostic markers, one of the best studied is the BRAF V600E mutation. BRAF V600E is associated with poor prognostic factors in papillary thyroid cancer such as extrathyroidal invasion, lymph node metastases, and tumor recurrence (reviewed in Ref. 114). In thyroid FNA specimens, preoperative testing that identifies a BRAF V600E mutation may be associated with disease persistence and recurrence [14], although some studies did not find such association [115–117]. A meta-analysis of multiple studies encompassing almost 2,500 patients demonstrated that a BRAF V600E mutation was significantly associated with tumor recurrence or persistent disease, which was found in 25 % of tumors with a BRAF V600E mutation compared to 13 % of BRAF mutation-negative tumors [118]. In addition, a large, multicenter study of 1,849 patients found the presence of the BRAF V600E mutation to be significantly associated with increased mortality from papillary thyroid cancer [119]. The overall mortality was 5 % in patients with a BRAF V600E mutation and 1 % in patients with a BRAF mutation-negative tumor. The results of these studies indicate that BRAF V600E is overall a sensitive but not specific marker of unfavorable outcome.
The presence of multiple driver mutations in thyroid cancer is associated with more aggressive tumor behavior. Coexisting mutations in the early driver genes, such as BRAF or RAS, with mutations in PIK3CA, AKT1, or TP53 in the same tumor occur in poorly differentiated and anaplastic tumors [79, 81, 120]. More recently, an NGS-based mutation analysis demonstrated that approximately 4 % of well-differentiated papillary cancers have more than one mutation, and these tumors are aggressive and typically present with distant metastases [107].
TP53 mutation is a well-characterized genetic event governing thyroid tumor dedifferentiation and is found with high frequency in poorly differentiated and anaplastic thyroid cancer [73, 74]. However, TP53 mutation also occurs in some well-differentiated cancers such as papillary thyroid carcinoma and oncocytic follicular carcinoma [107]. Well-differentiated cancers carrying a TP53 mutation may have greater tumor dedifferentiation and a more aggressive clinical course.
Another prognostic molecular marker for thyroid cancer is a TERT mutation. The C228T and C250T mutations have a significantly higher prevalence in aggressive thyroid tumors including widely invasive oncocytic (Hürthle cell) carcinoma and anaplastic thyroid carcinoma [69–72]. In the largest study of thyroid cancer reported to date, TERT promoter mutations were an independent risk factor for persistent disease, distant metastases, and disease-specific mortality for well-differentiated thyroid cancer and separately for papillary carcinoma and follicular carcinoma [72]. Overall, testing for specific mutations and their combinations may provide important prognostic information and accurately identify patients who may benefit from more extensive initial thyroid surgery to prevent tumor recurrence and from more frequent monitoring of disease recurrence.
Patients with advanced thyroid cancer carrying activating mutations in the MAPK and PI3K pathways may benefit from treatment with tyrosine kinase inhibitors (sorafenib, vandetanib, axitinib, sunitinib) [121]. Also, selective inhibitors of the V600E mutant BRAF kinase (vemurafenib, PLX4032) showed promising early results in clinical trials, as well as inhibitors of ALK and NTRK kinases.
Available Assays
Testing for Mutations
For preoperative diagnosis of thyroid cancer, FNA samples can be tested for a shorter or broader panel of mutations. Those should contain most frequently occurring alterations including point mutations (BRAF, HRAS, NRAS, KRAS) and chromosomal rearrangements (RET/PTC1, RET/PTC3, PAX8/PPARG).
Detection of point mutations can be performed using many different methods, including Sanger sequencing, real-time PCR, pyrosequencing, allele-specific PCR, snapshot array, or restriction fragment polymorphism analysis (Fig. 36.4a, b) [19, 31, 122–126]. Other methods can be used for more sensitive detection of point mutations, e.g., coamplification at lower denaturation polymerase chain reaction (COLD-PCR), locked nucleic acids (LNA)-PCR, and others [103, 127]. In one study, detection of BRAF mutations was compared using probe-specific real-time PCR, real-time allele-specific PCR, direct sequencing, and a colorimetric assay and showed similar sensitivity in BRAF detection in archival FNA samples [125].
Real-time PCR methods are rapid, easy to perform, cost-efficient, and run in a closed PCR system that reduces the risk of PCR amplicon contamination. Real-time PCR followed by fluorescence melting curve analysis is frequently used for detection of BRAF and RAS mutations [63, 128]. Two probes complementary to wild-type sequences are designed to span the mutation site for each mutational hot spot, including codons 12, 13, and 61 of the RAS genes and codons 600 and 601 of the BRAF gene. If no mutation is present, probes will bind perfectly to the sample DNA and melt at a higher temperature, showing a single peak on post-PCR melting curve analysis (Fig. 36.4a). In contrast, if a heterozygous mutation is present, probes will bind to mutant DNA imperfectly, i.e., with one nucleotide mismatch, and will melt (dissociate) earlier, producing two melting peaks (Fig. 36.4a). Each nucleotide substitution produces a melting peak at a specific melting temperature (T m). This method detects all possible mutation variants at the interrogated hot spot using a minimal amount of DNA.
The two most common approaches for detection of chromosomal rearrangements (RET/PTC, PAX8/PPARG, and TRK) are reverse transcription PCR (RT-PCR) and fluorescent in situ hybridization (FISH). RT-PCR is a reliable and sensitive technique for detection of fusion transcripts in fresh FNA samples and frozen tissue specimens. Assays frequently use real-time RT-PCR with fluorescently labeled probes, which increase the specificity of transcript detection and allow quantification of the amplified product (Fig. 36.4c) [98]. Amplification of a housekeeping gene in each RT-PCR reaction monitors RNA quality and quantity. When RT-PCR is used for detection of rearrangements from formalin-fixed paraffin-embedded (FFPE) tissue samples, amplification of short PCR products can overcome poor-quality RNA and avoid false-negative results.
Highly sensitivity techniques (such as nested PCR amplification or blotting of PCR products with specific probes) are not optimal for detection of rearrangements due to an increased risk of false-positive results due to RT-PCR contamination or amplification of nonspecific sequences and require rigorous use of negative controls. In addition, ultrasensitive techniques may result in the detection of rearrangements that are present in a small fraction of the tumor. This is particularly problematic for the detection of the RET/PTC rearrangement, which can vary from involving almost all neoplastic cells (clonal RET/PTC) to involving only a small fraction of tumor cells (non-clonal RET/PTC) [53, 54]. Since only clonal RET/PTC rearrangement is specific for papillary carcinoma [45, 53], the sensitivity of detection will not be greater than 1 % of tumor cells (i.e., detection of 1 % or more tumors cells in the background of normal cells) to avoid detecting non-clonal rearrangements, which have no clinical implications at this time.
For detection of gene rearrangements in FFPE samples, where RNA is degraded, FISH is a reliable method (Fig. 36.4d). FISH utilizes fluorescently labeled DNA probes for targeted detection of gene rearrangements in interphase or metaphase nuclei. The FISH probes are relatively large in size, ranging from 20 to 200 kb. Currently, probes for detection of RET/PTC or PAX8/PPARG rearrangements are not commercially available, but bacterial artificial chromosomes clones are available [53, 54, 60]. Several positive and negative controls are required to validate the scoring criteria for accurate FISH results. For RET/PTC rearrangement, the cutoff level for positive test results is 7–30 % positive cells, depending on the probe design [53, 129].
Introduction of NGS technology has enabled high-throughput detection of multiple genetic alterations in both constitutional and cancer genomes. NGS has clear advantages over conventional sequencing techniques, such as Sanger sequencing, by allowing sequencing of large regions of the genome at lower cost and with higher sensitivity. NGS can be used to sequence the genome, exome, transcriptome (mRNA), and targeted multigene panels. While genome or exome analyses are essential for discovery projects, targeted gene panels are advancing into routine clinical testing of thyroid cancer. Targeted NGS gene panels include testing for common mutations in thyroid cancer and for multiple genetic alterations known to occur in thyroid cancer with low prevalence, such as mutations in the PIK3CA, AKT1, PTEN, and TP53 genes [102, 108] and chromosomal rearrangements of the BRAF, ALK, and NTRK genes. An NGS-based panel that includes 56 genes and gene fusions (ThyroSeq v.2) has been recently validated for preoperative diagnosis of thyroid nodules [109]. Commercially available targeted NGS gene panels that offer sequencing for mutations in cancer-related genes or custom NGS thyroid panels can be used.
Testing for Gene Expression and miRNA Expression
In addition to gene mutations, changes in mRNA and miRNA expression have been explored for diagnostic use in thyroid samples. Search for a limited number of differentially expressed genes that can be used diagnostically appears to be promising. Upregulation of the HMGA2 gene in malignant thyroid tumors has been found in several studies and may be of diagnostic utility for thyroid nodule FNA samples [130, 131]. Aberrant expression of MET, TPO, TIMP1, DPP, and other genes was observed in several studies and explored for diagnostic use [83–85, 131, 132]. At least one company is exploring the use of gene expression profiling of thyroid FNA samples as a tool for determining the benign or malignant potential of thyroid nodules [110]. The possibility of applying a combination of cytological evaluation, mutational analysis, and gene expression markers to improve the FNA diagnosis of thyroid nodules may improve clinical care for these patients.
The diagnostic utility of miRNA expression in thyroid FNA samples has been also explored [88, 92, 133, 134]. In one study, preoperative assessment of several miRNAs (miR-221, miR-222, miR-146b, miR-224, miR-155, miR-197, miR-187) in thyroid nodule FNA samples demonstrated that upregulation of three or more of these miRNAs can predict papillary or follicular thyroid cancer with 98 % accuracy [92]. This demonstrates the feasibility of miRNA detection in thyroid FNA samples and provides initial evidence for its possible diagnostic use pending further validation.
Laboratory Issues
Collection of FNA Sample
Freshly collected and fixed FNA and resection specimens can be used for clinical molecular testing. Collection of fresh FNA samples during routine FNA procedures is simple, does not prolong the FNA procedure, and yields DNA and RNA of excellent quality. Typically, the FNA procedure is conducted under ultrasound guidance to ensure sampling of the nodule, with thyroid cells collected using a 23, 25, or 27 gauge needle and sent for cytological evaluation. In most cases, 3–4 FNA needle passes are performed. To collect a sample for molecular testing during an FNA procedure, either one entire pass is taken for molecular testing or most of the aspirated sample from the first two passes (the most representative sample) is used for direct cytology smears for cytological evaluation, with the residual material in the needle and the needle wash from both passes placed into a tube containing nucleic acid preservative solution, e.g., RNAlater (Qiagen) or Trizol (Invitrogen) (Fig. 36.3). The latter approach allows successful sampling of the nodule in 90–98 % of cases [98, 103]. After collection, the FNA specimen for molecular testing can be stored at −20 or −80 °C until molecular testing is performed. If collection of fresh FNA material is not possible, fixed cytology FNA material, i.e., stained cytology smear or cytology cell block, can be used for molecular testing. Use of a fixed specimen provides reliable detection of point mutations but is not ideal for detection of chromosomal rearrangements due to the suboptimal quality of the RNA.
Quality Assurance
The quantity and quality of nucleic acids isolated from FNA specimens can be assessed either by spectrophotometric measurements or by PCR amplification. Real-time PCR can be used to assess the quantity and quality of nucleic acids in a simple and cost-efficient way via evaluating PCR amplification of the RAS or BRAF genes for DNA and amplification of the GAPDH housekeeping gene for RNA.
Fresh FNA samples should be evaluated for sample adequacy prior to molecular testing to assess the proportion of thyroid epithelial cells and tumor cells within the sample. Thyroid FNA samples may contain a number of “contaminant” cells, i.e., lymphocytes, other white blood cells, and stromal cells. An abundance of these non-epithelial cells may decrease sensitivity of detection and lead to a false-negative result. Assessment of the proportion of thyroid epithelial cells within an FNA sample can be performed by comparing the expression of the universal housekeeping gene (i.e., GAPDH), which is uniformly expressed in all cell types, with the expression of a gene that is expressed only in thyroid cells or in several types of epithelial cells including thyroid cells, such as the thyroid peroxidase (TPO) gene, the thyroglobulin (TG) gene, and cytokeratin genes (KRT7 and KRT19) [103, 135].
For assurance of quality of molecular testing, a set of positive and negative controls at different levels of allelic frequencies has to be used during each analytical run. Some controls are available through the commercial sources, e.g., Horizon Diagnostics (Cambridge, UK). In addition, the College of American Pathologists offers proficiency testing for several of the most commonly mutated genes in thyroid cancer, including BRAF and KRAS.
Conclusions
Our understanding of the molecular changes in thyroid cancers is improving the clinical management of patients with thyroid nodules. Molecular testing can enhance the accuracy of cancer diagnosis in thyroid nodules, cancer prognosis, and will likely be important for selection of targeted therapies for thyroid cancer. The most significant impact of molecular testing is the improved diagnosis of cancer in nodules with indeterminate cytology results. Research discoveries using NGS technologies will lead to identification of novel mutations and other genetic and epigenetic events in thyroid cancer with the potential for further improvement in the care of patients with thyroid cancer.
References
Davies L, Welch HG. Increasing incidence of thyroid cancer in the United States, 1973–2002. JAMA. 2006;295:2164–7.
Albores-Saavedra J, Henson DE, Glazer E, et al. Changing patterns in the incidence and survival of thyroid cancer with follicular phenotype–papillary, follicular, and anaplastic: a morphological and epidemiological study. Endocr Pathol. 2007;18:1–7.
DeLellis RA, Lloyd RV, Heitz PU, et al., editors. World Health Organization classification of tumours. Pathology and genetics of tumours of endocrine organs. Lyon: IARC Press; 2004.
Nikiforov YE. Thyroid tumors: Classification and general considerations. In: Nikiforov YE, Biddinger PW, Thompson LDR, editors. Diagnostic pathology and molecular genetics of the thyroid. Baltimore, MD: Lippincott Williams & Wilkins; 2009. p. 94–102.
Mazzaferri EL. Thyroid cancer in thyroid nodules: finding a needle in the haystack. Am J Med. 1992;93:359–62.
Gharib H. Changing trends in thyroid practice: understanding nodular thyroid disease. Endocr Pract. 2004;10:31–9.
Frates MC, Benson CB, Doubilet PM, et al. Prevalence and distribution of carcinoma in patients with solitary and multiple thyroid nodules on sonography. J Clin Endocrinol Metab. 2006;91:3411–7.
Cooper DS, Doherty GM, Haugen BR, et al. Management guidelines for patients with thyroid nodules and differentiated thyroid cancer. Thyroid. 2006;16:109–42.
Papini E, Guglielmi R, Bianchini A, et al. Risk of malignancy in nonpalpable thyroid nodules: predictive value of ultrasound and color-Doppler features. J Clin Endocrinol Metab. 2002;87:1941–6.
Sclabas GM, Staerkel GA, Shapiro SE, et al. Fine-needle aspiration of the thyroid and correlation with histopathology in a contemporary series of 240 patients. Am J Surg. 2003;186:702–9. discussion 709–10.
Yassa L, Cibas ES, Benson CB, et al. Long-term assessment of a multidisciplinary approach to thyroid nodule diagnostic evaluation. Cancer. 2007;111:508–16.
Baloch ZW, LiVolsi VA, Asa SL, et al. Diagnostic terminology and morphologic criteria for cytologic diagnosis of thyroid lesions: a synopsis of the National Cancer Institute Thyroid Fine-Needle Aspiration State of the Science Conference. Diagn Cytopathol. 2008;36:425–37.
Ali SZ, Cibas ES. The Bethesda system for reporting thyroid cytopathology. New York, NY: Springer; 2010.
Xing M, Clark D, Guan H, et al. BRAF mutation testing of thyroid fine-needle aspiration biopsy specimens for preoperative risk stratification in papillary thyroid cancer. J Clin Oncol. 2009;27:2977–82. doi:10.1200/JCO.2008.20.1426.
Elisei R, Ugolini C, Viola D, et al. BRAF(V600E) mutation and outcome of patients with papillary thyroid carcinoma: a 15-year median follow-up study. J Clin Endocrinol Metab. 2008;93:3943–9.
Yip L, Nikiforova MN, Carty SE, et al. Optimizing surgical treatment of papillary thyroid carcinoma associated with BRAF mutation. Surgery. 2009;146:1215–23.
Nikiforov YE. Thyroid tumors: classification, staging and general considerations. In: Nikiforov Y, Biddinger PW, THompson LDR, editors. Diagnostic pathology and molecular genetics of the thyroid. Baltimore, MD: Lippincott Williams & Wilkins; 2012. p. 108–18.
Adeniran AJ, Zhu Z, Gandhi M, et al. Correlation between genetic alterations and microscopic features, clinical manifestations, and prognostic characteristics of thyroid papillary carcinomas. Am J Surg Pathol. 2006;30:216–22.
Kimura ET, Nikiforova MN, Zhu Z, et al. High prevalence of BRAF mutations in thyroid cancer: genetic evidence for constitutive activation of the RET/PTC-RAS-BRAF signaling pathway in papillary thyroid carcinoma. Cancer Res. 2003;63:1454–7.
Soares P, Trovisco V, Rocha AS, et al. BRAF mutations and RET/PTC rearrangements are alternative events in the etiopathogenesis of PTC. Oncogene. 2003;22:4578–80.
Frattini M, Ferrario C, Bressan P, et al. Alternative mutations of BRAF, RET and NTRK1 are associated with similar but distinct gene expression patterns in papillary thyroid cancer. Oncogene. 2004;23:7436–40.
Cohen Y, Xing M, Mambo E, et al. BRAF mutation in papillary thyroid carcinoma. J Natl Cancer Inst. 2003;95:625–7.
Trovisco V, Vieira de Castro I, Soares P, et al. BRAF mutations are associated with some histological types of papillary thyroid carcinoma. J Pathol. 2004;202:247–51.
Hou P, Liu D, Shan Y, et al. Genetic alterations and their relationship in the phosphatidylinositol 3-kinase/Akt pathway in thyroid cancer. Clin Cancer Res. 2007;13:1161–70. doi:10.1158/1078-0432.CCR-06-1125.
Chiosea S, Nikiforova M, Zuo H, et al. A novel complex BRAF mutation detected in a solid variant of papillary thyroid carcinoma. Endocr Pathol. 2009;20:122–6.
Basolo F, Torregrossa L, Giannini R, et al. Correlation between the BRAF V600E mutation and tumor invasiveness in papillary thyroid carcinomas smaller than 20 millimeters: analysis of 1060 cases. J Clin Endocrinol Metab. 2010;95:4197–205.
Ciampi R, Knauf JA, Kerler R, et al. Oncogenic AKAP9-BRAF fusion is a novel mechanism of MAPK pathway activation in thyroid cancer. J Clin Invest. 2005;115:94–101.
Cancer Genome Atlas Research N. Integrated genomic characterization of papillary thyroid carcinoma. Cell. 2014;159:676–90. doi:10.1016/j.cell.2014.09.050.
Xing M. BRAF mutation in thyroid cancer. Endocr Relat Cancer. 2005;12:245–62. doi:10.1677/erc.1.0978.
Namba H, Nakashima M, Hayashi T, et al. Clinical implication of hot spot BRAF mutation, V599E, in papillary thyroid cancers. J Clin Endocrinol Metab. 2003;88:4393–7.
Nikiforova MN, Kimura ET, Gandhi M, et al. BRAF mutations in thyroid tumors are restricted to papillary carcinomas and anaplastic or poorly differentiated carcinomas arising from papillary carcinomas. J Clin Endocrinol Metab. 2003;88:5399–404.
Begum S, Rosenbaum E, Henrique R, et al. BRAF mutations in anaplastic thyroid carcinoma: implications for tumor origin, diagnosis and treatment. Mod Pathol. 2004;17:1359–63.
Ricarte-Filho JC, Ryder M, Chitale DA, et al. Mutational profile of advanced primary and metastatic radioactive iodine-refractory thyroid cancers reveals distinct pathogenetic roles for BRAF, PIK3CA, and AKT1. Cancer Res. 2009;69:4885–93.
Suarez HG, du Villard JA, Severino M, et al. Presence of mutations in all three ras genes in human thyroid tumors. Oncogene. 1990;5:565–70.
Esapa CT, Johnson SJ, Kendall-Taylor P, et al. Prevalence of Ras mutations in thyroid neoplasia. Clin Endocrinol (Oxf). 1999;50:529–35.
Motoi N, Sakamoto A, Yamochi T, et al. Role of ras mutation in the progression of thyroid carcinoma of follicular epithelial origin. Pathol Res Pract. 2000;196:1–7.
Manenti G, Pilotti S, Re FC, et al. Selective activation of ras oncogenes in follicular and undifferentiated thyroid carcinomas. Eur J Cancer. 1994;30A:987–93.
Namba H, Rubin SA, Fagin JA. Point mutations of ras oncogenes are an early event in thyroid tumorigenesis. Mol Endocrinol. 1990;4:1474–9.
Karga H, Lee JK, Vickery Jr AL, et al. Ras oncogene mutations in benign and malignant thyroid neoplasms. J Clin Endocrinol Metab. 1991;73:832–6.
Ezzat S, Zheng L, Kolenda J, et al. Prevalence of activating ras mutations in morphologically characterized thyroid nodules. Thyroid. 1996;6:409–16.
Fagin JA. Minireview: branded from the start-distinct oncogenic initiating events may determine tumor fate in the thyroid. Mol Endocrinol. 2002;16:903–11.
Saavedra HI, Knauf JA, Shirokawa JM, et al. The RAS oncogene induces genomic instability in thyroid PCCL3 cells via the MAPK pathway. Oncogene. 2000;19:3948–54.
Basolo F, Pisaturo F, Pollina LE, et al. N-ras mutation in poorly differentiated thyroid carcinomas: correlation with bone metastases and inverse correlation to thyroglobulin expression. Thyroid. 2000;10:19–23.
Garcia-Rostan G, Zhao H, Camp RL, et al. ras mutations are associated with aggressive tumor phenotypes and poor prognosis in thyroid cancer. J Clin Oncol. 2003;21:3226–35.
Santoro M, Carlomagno F, Hay ID, et al. Ret oncogene activation in human thyroid neoplasms is restricted to the papillary cancer subtype. J Clin Invest. 1992;89:1517–22.
Jhiang SM, Sagartz JE, Tong Q, et al. Targeted expression of the ret/PTC1 oncogene induces papillary thyroid carcinomas. Endocrinology. 1996;137:375–8.
Santoro M, Chiappetta G, Cerrato A, et al. Development of thyroid papillary carcinomas secondary to tissue-specific expression of the RET/PTC1 oncogene in transgenic mice. Oncogene. 1996;12:1821–6.
Powell Jr DJ, Russell J, Nibu K, et al. The RET/PTC3 oncogene: metastatic solid-type papillary carcinomas in murine thyroids. Cancer Res. 1998;58:5523–8.
Nikiforov YE. RET/PTC rearrangement in thyroid tumors. Endocr Pathol. 2002;13:3–16.
Nikiforov YE, Rowland JM, Bove KE, et al. Distinct pattern of ret oncogene rearrangements in morphological variants of radiation-induced and sporadic thyroid papillary carcinomas in children. Cancer Res. 1997;57:1690–4.
Rabes HM, Demidchik EP, Sidorow JD, et al. Pattern of radiation-induced RET and NTRK1 rearrangements in 191 post-chernobyl papillary thyroid carcinomas: biological, phenotypic, and clinical implications. Clin Cancer Res. 2000;6:1093–103.
Fenton CL, Lukes Y, Nicholson D, et al. The ret/PTC mutations are common in sporadic papillary thyroid carcinoma of children and young adults. J Clin Endocrinol Metab. 2000;85:1170–5.
Zhu Z, Ciampi R, Nikiforova MN, et al. Prevalence of RET/PTC rearrangements in thyroid papillary carcinomas: effects of the detection methods and genetic heterogeneity. J Clin Endocrinol Metab. 2006;91:3603–10.
Unger K, Zitzelsberger H, Salvatore G, et al. Heterogeneity in the distribution of RET/PTC rearrangements within individual post-Chernobyl papillary thyroid carcinomas. J Clin Endocrinol Metab. 2004;89:4272–9.
Radice P, Sozzi G, Miozzo M, et al. The human tropomyosin gene involved in the generation of the TRK oncogene maps to chromosome 1q31. Oncogene. 1991;6:2145–8.
Greco A, Pierotti MA, Bongarzone I, et al. TRK-T1 is a novel oncogene formed by the fusion of TPR and TRK genes in human papillary thyroid carcinomas. Oncogene. 1992;7:237–42.
Miranda C, Minoletti F, Greco A, et al. Refined localization of the human TPR gene to chromosome 1q25 by in situ hybridization. Genomics. 1994;23:714–5.
Leeman-Neill RJ, Kelly LM, Liu P, et al. ETV6-NTRK3 is a common chromosomal rearrangement in radiation-associated thyroid cancer. Cancer. 2014 Mar 15;120(6):799–807. doi:10.1002/cncr.28484.
Kelly LM, Barila G, Liu P, et al. Identification of the transforming STRN-ALK fusion as a potential therapeutic target in the aggressive forms of thyroid cancer. Proc Natl Acad Sci U S A. 2014;111(11):4233–8. doi:10.1073/pnas.1321937111.
Kroll TG, Sarraf P, Pecciarini L, et al. PAX8-PPARgamma1 fusion oncogene in human thyroid carcinoma [corrected]. Science. 2000;289:1357–60.
Lui WO, Kytola S, Anfalk L, et al. Balanced translocation (3;7)(p25;q34): another mechanism of tumorigenesis in follicular thyroid carcinoma? Cancer Genet Cytogenet. 2000;119:109–12.
French CA, Alexander EK, Cibas ES, et al. Genetic and biological subgroups of low-stage follicular thyroid cancer. Am J Pathol. 2003;162:1053–60. doi:10.1016/S0002-9440(10)63902-8.
Nikiforova MN, Lynch RA, Biddinger PW, et al. RAS point mutations and PAX8-PPAR gamma rearrangement in thyroid tumors: evidence for distinct molecular pathways in thyroid follicular carcinoma. J Clin Endocrinol Metab. 2003;88:2318–26.
Dwight T, Thoppe SR, Foukakis T, et al. Involvement of the PAX8/peroxisome proliferator-activated receptor gamma rearrangement in follicular thyroid tumors. J Clin Endocrinol Metab. 2003;88:4440–5.
Nikiforova MN, Biddinger PW, Caudill CM, et al. PAX8-PPARgamma rearrangement in thyroid tumors: RT-PCR and immunohistochemical analyses. Am J Surg Pathol. 2002;26:1016–23.
Marques AR, Espadinha C, Catarino AL, et al. Expression of PAX8-PPAR gamma 1 rearrangements in both follicular thyroid carcinomas and adenomas. J Clin Endocrinol Metab. 2002;87:3947–52.
Horn S, Figl A, Rachakonda PS, et al. TERT promoter mutations in familial and sporadic melanoma. Science. 2013;339:959–61. doi:10.1126/science.1230062.
Huang FW, Hodis E, Xu MJ, et al. Highly recurrent TERT promoter mutations in human melanoma. Science. 2013;339:957–9. doi:10.1126/science.1229259.
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:E1562–6. doi:10.1210/jc.2013-2383.
Liu T, Wang N, Cao J, et al. The age- and shorter telomere-dependent TERT promoter mutation in follicular thyroid cell-derived carcinomas. Oncogene. 2013. doi:10.1038/onc.2013.446.
Liu X, Bishop J, Shan Y, et al. Highly prevalent TERT promoter mutations in aggressive thyroid cancers. Endocr Relat Cancer. 2013;20:603–10. doi:10.1530/ERC-13-0210.
Melo M, 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(5):754–65. doi:10.1210/jc.2013-3734.
Fagin JA, Matsuo K, Karmakar A, et al. High prevalence of mutations of the p53 gene in poorly differentiated human thyroid carcinomas. J Clin Invest. 1993;91:179–84.
Donghi R, Longoni A, Pilotti S, et al. Gene p53 mutations are restricted to poorly differentiated and undifferentiated carcinomas of the thyroid gland. J Clin Invest. 1993;91:1753–60.
Dobashi Y, Sugimura H, Sakamoto A, et al. Stepwise participation of p53 gene mutation during dedifferentiation of human thyroid carcinomas. Diagn Mol Pathol. 1994;3:9–14.
Ito T, Seyama T, Mizuno T, et al. Unique association of p53 mutations with undifferentiated but not with differentiated carcinomas of the thyroid gland. Cancer Res. 1992;52:1369–71.
Garcia-Rostan G, Camp RL, Herrero A, et al. Beta-catenin dysregulation in thyroid neoplasms: down-regulation, aberrant nuclear expression, and CTNNB1 exon 3 mutations are markers for aggressive tumor phenotypes and poor prognosis. Am J Pathol. 2001;158:987–96.
Garcia-Rostan G, Tallini G, Herrero A, et al. Frequent mutation and nuclear localization of beta-catenin in anaplastic thyroid carcinoma. Cancer Res. 1999;59:1811–5.
Garcia-Rostan G, Costa AM, Pereira-Castro I, et al. Mutation of the PIK3CA gene in anaplastic thyroid cancer. Cancer Res. 2005;65:10199–207.
Santarpia L, El-Naggar AK, Cote GJ, et al. Phosphatidylinositol 3-kinase/akt and ras/raf-mitogen-activated protein kinase pathway mutations in anaplastic thyroid cancer. J Clin Endocrinol Metab. 2008;93:278–84.
Hou P, Liu D, Xing M. Functional characterization of the T1799-1801del and A1799-1816ins BRAF mutations in papillary thyroid cancer. Cell Cycle. 2007;6:377–9.
Dahia PL, Marsh DJ, Zheng Z, et al. Somatic deletions and mutations in the Cowden disease gene, PTEN, in sporadic thyroid tumors. Cancer Res. 1997;57:4710–3.
Giordano TJ, Kuick R, Thomas DG, et al. Molecular classification of papillary thyroid carcinoma: distinct BRAF, RAS, and RET/PTC mutation-specific gene expression profiles discovered by DNA microarray analysis. Oncogene. 2005;24:6646–56.
Chevillard S, Ugolin N, Vielh P, et al. Gene expression profiling of differentiated thyroid neoplasms: diagnostic and clinical implications. Clin Cancer Res. 2004;10:6586–97.
Huang Y, Prasad M, Lemon WJ, et al. Gene expression in papillary thyroid carcinoma reveals highly consistent profiles. Proc Natl Acad Sci U S A. 2001;98:15044–9.
Mazzanti C, Zeiger MA, Costouros NG, et al. Using gene expression profiling to differentiate benign versus malignant thyroid tumors. Cancer Res. 2004;64:2898–903.
Finley DJ, Arora N, Zhu B, et al. Molecular profiling distinguishes papillary carcinoma from benign thyroid nodules. J Clin Endocrinol Metab. 2004;89:3214–23.
Chen YT, Kitabayashi N, Zhou XK, et al. MicroRNA analysis as a potential diagnostic tool for papillary thyroid carcinoma. Mod Pathol. 2008;21:1139–46.
He H, Jazdzewski K, Li W, et al. The role of microRNA genes in papillary thyroid carcinoma. Proc Natl Acad Sci U S A. 2005;102:19075–80.
Nikiforova MN, Chiosea SI, Nikiforov YE. MicroRNA expression profiles in thyroid tumors. Endocr Pathol. 2009;20:85–91.
Pallante P, Visone R, Ferracin M, et al. MicroRNA deregulation in human thyroid papillary carcinomas. Endocr Relat Cancer. 2006;13:497–508. doi:13/2/497 [pii] 10.1677/erc.1.01209.
Nikiforova MN, Tseng GC, Steward D, et al. MicroRNA expression profiling of thyroid tumors: biological significance and diagnostic utility. J Clin Endocrinol Metab. 2008;93(5):1600–8.
Visone R, Russo L, Pallante P, et al. MicroRNAs (miR)-221 and miR-222, both overexpressed in human thyroid papillary carcinomas, regulate p27Kip1 protein levels and cell cycle. Endocr Relat Cancer. 2007;14:791–8.
Jazdzewski K, Boguslawska J, Jendrzejewski J, et al. Thyroid hormone receptor beta (THRB) is a major target gene for microRNAs deregulated in papillary thyroid carcinoma (PTC). J Clin Endocrinol Metab. 2011;96:546–53.
Weber F, Teresi RE, Broelsch CE, et al. A limited set of human MicroRNA is deregulated in follicular thyroid carcinoma. J Clin Endocrinol Metab. 2006;91:3584–91.
Visone R, Pallante P, Vecchione A, et al. Specific microRNAs are downregulated in human thyroid anaplastic carcinomas. Oncogene. 2007;26:7590–5.
Cooper DS, Doherty GM, Haugen BR, et al. Revised American Thyroid Association management guidelines for patients with thyroid nodules and differentiated thyroid cancer. Thyroid. 2009;19:1167–214.
Nikiforov YE, Steward DL, Robinson-Smith TM, et al. Molecular testing for mutations in improving the fine-needle aspiration diagnosis of thyroid nodules. J Clin Endocrinol Metab. 2009;94:2092–8.
Cantara S, Capezzone M, Marchisotta S, et al. Impact of proto-oncogene mutation detection in cytological specimens from thyroid nodules improves the diagnostic accuracy of cytology. J Clin Endocrinol Metab. 2010;95:1365–9.
Ohori NP, Nikiforova MN, Schoedel KE, et al. Contribution of molecular testing to thyroid fine-needle aspiration cytology of “follicular lesion of undetermined significance/atypia of undetermined significance”. Cancer Cytopathol. 2010;118:17–23.
Kim SK, Hwang TS, Yoo YB, et al. Surgical results of thyroid nodules according to a management guideline based on the BRAF(V600E) mutation status. J Clin Endocrinol Metab. 2011;96:658–64. doi:10.1210/jc.2010-1082.
Nikiforov YE, Nikiforova MN. Molecular genetics and diagnosis of thyroid cancer. Nat Rev Endocrinol. 2011;7(10):569–80. doi:10.1038/nrendo.2011.142 nrendo.2011.142 [pii].
Nikiforov Y. Impact of mutational testing on the diagnosis and management of patients with cytologically indeterminate thyroid nodules: a prospective analysis of 1056 FNA samples. J Clin Endocrinol Metab. 2011;96:3390–7.
Mehta RS, Carty SE, Ohori NP, et al. Nodule size is an independent predictor of malignancy in mutation-negative nodules with follicular lesion of undetermined significance cytology. Surgery. 2013;154:730–6. doi:10.1016/j.surg.2013.05.015. discussion 736–8.
Yip L, Wharry L, Armstrong M, et al. A clinical algorithm for fine-needle aspiration molecular testing effectively guides the appropriate extent of initial thyroidectomy. Ann Surg. 2014;260(1):163–8. doi:2010.1097/SLA.0000000000000215.
Yip L, Nikiforova M, Carty SE, et al. Cost impact of molecular testing for indeterminate thyroid nodule fine needle aspiration biopsies. J Clin Endocrinol Metab. 2012.
Nikiforova MN, Wald AI, Roy S, et al. Targeted next-generation sequencing panel (ThyroSeq) for detection of mutations in thyroid cancer. J Clin Endocrinol Metab. 2013;98:E1852–60. doi:10.1210/jc.2013-2292.
Le Mercier M, D’Haene N, De Neve N, et al. Next-generation sequencing improves the diagnosis of thyroid FNA specimens with indeterminate cytology. Histopathology. 2015;66(2):215–24. doi:10.1111/his.12461.
Nikiforov YE, Carty SE, Chiosea SI, et al. Highly accurate diagnosis of cancer in thyroid nodules with follicular neoplasm/suspicious for a follicular neoplasm cytology by ThyroSeq v2 next-generation sequencing assay. Cancer. 2014. 120(23):3627–34. doi:10.1002/cncr.29038.
Chudova D, Wilde JI, Wang ET, et al. Molecular classification of thyroid nodules using high-dimensionality genomic data. J Clin Endocrinol Metab. 2010;95(12):5296–304.
Alexander EK, Kennedy GC, Baloch ZW, et al. Preoperative diagnosis of benign thyroid nodules with indeterminate cytology. N Engl J Med. 2012;367:705–15. doi:10.1056/NEJMoa1203208.
Alexander EK, Schorr M, Klopper J, et al. Multicenter clinical experience with the Afirma gene expression classifier. J Clin Endocrinol Metab. 2014;99:119–25. doi:10.1210/jc.2013-2482.
Duick DS, Klopper JP, Diggans JC, et al. The impact of benign gene expression classifier test results on the endocrinologist-patient decision to operate on patients with thyroid nodules with indeterminate fine-needle aspiration cytopathology. Thyroid. 2012;22:996–1001. doi:10.1089/thy.2012.0180.
Xing M. BRAF mutation in papillary thyroid cancer: pathogenic role, molecular bases, and clinical implications. Endocr Rev. 2007;28:742–62. doi:10.1210/er.2007-0007.
Ito Y, Yoshida H, Maruo R, et al. BRAF mutation in papillary thyroid carcinoma in a Japanese population: its lack of correlation with high-risk clinicopathological features and disease-free survival of patients. Endocr J. 2009;56:89–97.
Kim TY, Kim WB, Song JY, et al. The BRAF mutation is not associated with poor prognostic factors in Korean patients with conventional papillary thyroid microcarcinoma. Clin Endocrinol (Oxf). 2005;63:588–93. doi:10.1111/j.1365-2265.2005.02389.x.
Liu RT, Chen YJ, Chou FF, et al. No correlation between BRAFV600E mutation and clinicopathological features of papillary thyroid carcinomas in Taiwan. Clin Endocrinol (Oxf). 2005;63:461–6. doi:10.1111/j.1365-2265.2005.02367.x.
Tufano RP, Teixeira GV, Bishop J, et al. BRAF mutation in papillary thyroid cancer and its value in tailoring initial treatment: a systematic review and meta-analysis. Medicine. 2012;91:274–86.
Xing M, Alzahrani AS, Carson KA, et al. Association between BRAF V600E mutation and mortality in patients with papillary thyroid cancer. JAMA. 2013;309:1493–501.
Liu Z, Hou P, Ji M, et al. Highly prevalent genetic alterations in receptor tyrosine kinases and phosphatidylinositol 3-kinase/akt and mitogen-activated protein kinase pathways in anaplastic and follicular thyroid cancers. J Clin Endocrinol Metab. 2008;93:3106–16. doi:10.1210/jc.2008-0273.
Schlumberger M, Sherman SI. Approach to the patient with advanced differentiated thyroid cancer. Eur J Endocrinol. 2012;166:5–11. doi:10.1530/EJE-11-0631.
Sapio MR, Posca D, Troncone G, et al. Detection of BRAF mutation in thyroid papillary carcinomas by mutant allele-specific PCR amplification (MASA). Eur J Endocrinol. 2006;154:341–8.
Rowe LR, Bentz BG, Bentz JS. Detection of BRAF V600E activating mutation in papillary thyroid carcinoma using PCR with allele-specific fluorescent probe melting curve analysis. J Clin Pathol. 2007;60:1211–5.
Hayashida N, Namba H, Kumagai A, et al. A rapid and simple detection method for the BRAF(T1796A) mutation in fine-needle aspirated thyroid carcinoma cells. Thyroid. 2004;14:910–5.
Jin L, Sebo TJ, Nakamura N, et al. BRAF mutation analysis in fine needle aspiration (FNA) cytology of the thyroid. Diagn Mol Pathol. 2006;15:136–43.
Magnin S, Viel E, Baraquin A, et al. A multiplex SNaPshot assay as a rapid method for detecting KRAS and BRAF mutations in advanced colorectal cancers. J Mol Diagn. 2011;13:485–92. doi:10.1016/j.jmoldx.2011.05.010.
Arcila M, Lau C, Nafa K, et al. Detection of KRAS and BRAF mutations in colorectal carcinoma roles for high-sensitivity locked nucleic acid-PCR sequencing and broad-spectrum mass spectrometry genotyping. J Mol Diagn. 2011;13:64–73. doi:10.1016/j.jmoldx.2010.11.005.
Elenitoba-Johnson KS, Bohling SD, Wittwer CT, et al. Multiplex PCR by multicolor fluorometry and fluorescence melting curve analysis. Nat Med. 2001;7:249–53.
Unger K, Zurnadzhy L, Walch A, et al. RET rearrangements in post-Chernobyl papillary thyroid carcinomas with a short latency analysed by interphase FISH. Br J Cancer. 2006;94:1472–7. doi:10.1038/sj.bjc.6603109.
Lappinga PJ, Kip NS, Jin L, et al. HMGA2 gene expression analysis performed on cytologic smears to distinguish benign from malignant thyroid nodules. Cancer Cytopathol. 2010;118:287–97.
Prasad NB, Somervell H, Tufano RP, et al. Identification of genes differentially expressed in benign versus malignant thyroid tumors. Clin Cancer Res. 2008;14:3327–37.
Lubitz CC, Fahey 3rd TJ. The differentiation of benign and malignant thyroid nodules. Adv Surg. 2005;39:355–77.
Vriens MR, Weng J, Suh I, et al. MicroRNA expression profiling is a potential diagnostic tool for thyroid cancer. Cancer. 2011. doi:10.1002/cncr.26587.
Mazeh H, Mizrahi I, Halle D, et al. Development of a microRNA-based molecular assay for the detection of papillary thyroid carcinoma in aspiration biopsy samples. Thyroid. 2011;21:111–8. doi:10.1089/thy.2010.0356.
Schreinemakers JM, Pieterman CR, Scholten A, et al. The optimal surgical treatment for primary hyperparathyroidism in MEN1 patients: a systematic review. World J Surg. 2011;35:1993–2005. doi:10.1007/s00268-011-1068-9.
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Nikiforova, M.N., Nikiforov, Y.E. (2016). Thyroid Cancer. In: Leonard, D. (eds) Molecular Pathology in Clinical Practice. Springer, Cham. https://doi.org/10.1007/978-3-319-19674-9_36
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DOI: https://doi.org/10.1007/978-3-319-19674-9_36
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