Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors
Filter by Categories
Abstracts
Book Review
Case Report
Case Series
CMAS‡ - Pancreas - EUS-FNA Cytopathology (PSC guidelines) S1:1 of 5
CMAS‡ - Pancreas - EUS-FNA Cytopathology (PSC guidelines) S1:3 of 5
CMAS‡ - Pancreas - EUS-FNA Cytopathology (PSC guidelines) S1:4 of 5
CMAS‡ - Pancreas -Sampling Techniques for Cytopathology (PSC guidelines) S1:2 of 5
CMAS‡ - Pancreas- EUS-FNA Cytopathology (PSC guidelines) S1:5 of 5
Commentary
Correction
CytoJournal Monograph Related Review Series
CytoJournal Monograph Related Review Series (CMAS), Editorial
CytoJournal Monograph Related Review Series: Editorial
Cytojournal Quiz Case
Editorial
Erratum
Letter to Editor
Letter to the Editor
Letters to Editor
Methodology
Methodology Article
Methodology Articles
Original Article
Pap Smear Collection and Preparation: Key Points
Quiz Case
Research
Research Article
Review
Review Article
Systematic Review and Meta Analysis
View Point
View/Download PDF

Translate this page into:

Research Article
2025
:22;
100
doi:
10.25259/Cytojournal_84_2025

Various genetic alterations observed in both benign and malignant oncocytic (Hürthle cell) neoplasms of the thyroid

Cooper Medical School of Rowan University, Camden, United States.
Department of Surgery, Cooper University Hospital, Camden, United States.
Department of Pathology and Laboratory Medicine, Cooper University Hospital, Camden, United States.
Author image

*Corresponding author: Shuyue Ren, Department of Pathology and Laboratory Medicine, Cooper University Hospital, 1 Cooper Plaza, Camden, NJ 08103, United States. ren-shuyue@cooperhealth.edu

Licence
This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-Share Alike 4.0 License, which allows others to remix, transform, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.

How to cite this article: Cocelli CJ, Reid L, Ren S. Various genetic alterations observed in both benign and malignant oncocytic (Hürthle cell) neoplasms of the thyroid. CytoJournal. 2025;22:100. doi: 10.25259/Cytojournal_84_2025

Abstract

Objective:

Oncocytic thyroid follicular neoplasms (ONs), including oncocytic adenoma (OA) and oncocytic carcinoma (OC), are distinct follicular cell-derived tumors with unique molecular profiles. Oncocytic changes can also occur in other situations, such as papillary thyroid carcinoma (PTC) and thyroiditis. Due to overlapping cytological features, distinguishing benign from malignant ONs preoperatively remains challenging. This study examines cytological patterns and genetic alterations in ONs and aims to enhance diagnostic accuracy.

Material and Methods:

We retrospectively analyzed ON and oncocytic PTC (OPTC) cases from January 2018 to March 2025 at Cooper University Hospital, identifying 119 surgical resections (55 malignant, 62 benign, and two oncocytic non-invasive follicular thyroid neoplasms with papillary-like nuclear features. Sixty-five cases had fine-needle aspiration biopsy results categorized using The Bethesda System for Reporting Thyroid Cytopathology. Molecular examinations were performed in Afirma, ThyroSeq, or ThyGeNEXT/ThyraMIR. Statistical analyses included Wilcoxon Rank Sum tests, logistic regression, and Fisher’s exact tests.

Results:

No significant differences were observed between benign and malignant groups in terms of patient sex or tumor size; however, younger patient age was associated with malignant neoplasm within the cytology tested samples (P = 0.0300). Molecular analysis showed that 3.6% (1/28) of malignant cases were negative for tested alterations, while 33.3% (12/36) of benign cases were negative (P = 0.0035). Common mutations included eukaryotic translation initiation factor 1A X-linked (EIF1AX) (27.3%) in OCs and Harvey rat sarcoma viral oncogene homolog (HRAS) Q61R (41.2%) in OPTCs. In contrast, OA exhibited a higher frequency of chromosomal copy number alterations (33.3%) and variable other genetic changes.

Conclusion:

ONs pose diagnostic challenges due to significant cytological and molecular overlap between benign and malignant cases. Current thyroid molecular testing reveals a broad range of genetic alterations in ONs but lack sufficient specificity to reliably distinguish benign from malignancy in most instances. In this study, genetic alterations were detected in 66.6% (24/36) of OAs, and telomerase reverse transcriptase (TERT) mutations – typically associated with malignancy – were identified in two OAs. However, notably, certain mutations were exclusive to specific groups, such as B-Raf proto-oncogene, serine/threonine kinase (BRAF), anaplastic lymphoma kinase/echinoderm microtubule-associated protein-like 4 (ALK/EML4), and paired box 8 — peroxisome proliferator activator receptor gamma (PAX8-PPARG) in OPTCs or EIF1AX in OCs. Importantly, only 3.6% (1/28) of malignant OPTC/ONs were tested negative on molecular analysis, suggesting that ONs with negative molecular test results are more likely to be benign than malignant.

Keywords

Cytopathology
Molecular testing
Oncocytic adenoma of the thyroid
Oncocytic carcinoma of the thyroid
Papillary thyroid carcinoma

INTRODUCTION

Thyroid gland tumors are the most prevalent endocrine neoplasms. Among them, the uncommon oncocytic (Hürthle Cell) neoplasm is a distinct subtype of epithelial follicular cell-derived neoplasms, first designated in the World Health Organization (WHO) Classification of Tumors in 2017. The name “Hürthle cell” was removed in 2022, correcting the misnomer (since Hürthle described parafollicular cells or C-cells).[1] Before these updates, oncocytic neoplasms (ONs) were considered a subtype of follicular neoplasms (FNs) and were managed as such. Due to a better understanding of the distinct molecular prolife and clinical behavior of ONs, they are now recognized as a distinct entity. Specifically, the WHO Classification of Tumors denotes two oncocytic thyroid neoplasms: Oncocytic adenoma (OA) and oncocytic carcinoma (OC). Diagnosis requires the presence of >75% oncocytic follicular cells,[2] and OCs represent approximately 2% of all thyroid cancers.[3] Notably, oncocytic cells can exist in other types of reactive or neoplastic processes: Lymphocytic (Hashimoto’s) thyroiditis, multinodular goiter, and malignancies, including papillary, medullary, or poorly differentiated thyroid carcinoma, and metastatic oncocytic malignancies of non-thyroid origin. Ultrasonography is the current standard initial imaging modality for presurgical evaluation of ONs.[1] In advanced disease presentation, with extrathyroidal extension or lymph node metastasis, seen in about 13% of cases,[4] computed tomography or positron emission tomography is used.[5,6] When confined to the thyroid, OCs typically appear hypoechoic and larger than their benign counterparts on ultrasound.[7,8] The subsequent fine-needle aspiration biopsy (FNAB) study, ONs consists exclusively of (or almost exclusively of) oncocytes appearing in isolated cells, sheets, or crowded clusters. The cells exhibit abundant finely granular cytoplasm, revealing ample mitochondria, with enlarged centrally or eccentrically located nuclei and prominent nucleoli. FNAB can only delineate a probable ON with low specificity, and it is impossible to distinguish between OA and OC based on FNAB alone.[9,10] The definitive diagnostic criterion for OC requires evidence of capsular, lymphatic, or vascular invasion. However, FNAB cannot provide this level of specificity. Oncocytic papillary thyroid carcinoma (OPTC) is a subtype of papillary thyroid carcinoma (PTC) composed of oncocytic cells with nuclear features of PTC (nuclear enlargement, elongation, overlapping, chromatin clearing, nuclear grooves, and intranuclear pseudoinclusions). From a molecular basis, ONs have mitochondrial deoxyribonucleic acid (DNA)[11] or the related GRIM19 gene alterations[12] and chromosomal gains and losses, not commonly seen in other tumors.[2,13] A third of these neoplasms show gene copy-number variations.[2,14] These new insights into the molecular profiles of these neoplasms, which do not always correspond to morphology, aid in the identification of ONs.[15-17] However, they remain challenging to diagnose preoperatively, particularly in the early stage of the disease,[17] and it is also impossible to distinguish malignant ONs from benign.[13,16] Therefore, definitive diagnosis currently requires surgical excision. The pre-operative diagnostic challenges restrict surgical planning,[17] with only approximately 10% of nodules that are preoperatively suggestive of oncocytic neoplasm being OCs.[18,19] Overall, the rarity of ONs and their recent identification as a distinct subtype of follicular thyroid carcinoma have led to a lack of data and knowledge about this neoplasm.[17]

Limited previous studies have concluded that OAs and OCs, in general, display similar molecular profiles, with differences only seen between a highly invasive subgroup of carcinomas and benign adenomas.[13,14] This study aims to reexamine these statements in light of advancements in molecular technologies utilizing commercial assays, including Afirma, ThyroSeq, and ThyGeNEXT/ThyraMIR. We respectively investigate the cytological patterns and genetic alterations in the diagnosis of malignant and benign ONs of the thyroid.

MATERIAL AND METHODS

Sample identification and classification

We queried Cooper University Hospital’s electronic pathology program SoftPath to identify all ONs collected during the period of January 2018 through March 2025. We used the terms “Hürthle,” “oncocytic,” and “thyroid” to identify relevant cases. Most specifically, in the “Query” function on SoftPath, we input the date range and the above three search terms to obtain a list of potential cases. We then went through all populated cases and excluded any that were not actually ONs. All samples of ONs were included in the study. The classification of ON or non-ON was based on the diagnosis recorded in the final resection pathology report. Utilizing SoftPath and our Electronic Medical Record (EMR) system, Epic, we identified which cases had cytological studies performed. We categorized these samples into specific diagnostic groups. The classification of the ONs was also based upon the diagnosis recorded in the final pathology report from the resection. These diagnoses were solely based on pathological findings. The benign group included ON, and the malignant group included OC and OPTC. We also included an in-between group consisting of oncocytic noninvasive follicular thyroid neoplasm with papillary-like nuclear features (NIFTP).

Statistical analysis

The data, including tumor diagnosis, general patient demographics (sex and age), tumor characteristics (tumor size), cytological results, and molecular results, were recorded. JMP Pro 18.0.2 Student Edition (JMP Statistical Discovery LLC; Cary, North Carolina) was used to perform all statistical tests. Wilcoxon Rank Sum testing was used to identify any statistically significant differences between benign and malignant groups regarding patient age and tumor size. Logistic regression was used to assess the effect of age and tumor size on tumor identity (benign vs. malignant). A two-tailed Fisher exact test was used to identify any significant difference in cytology classifications, number of molecularly negative samples, and patient gender between benign and malignant groups.

Molecular studies

For our molecular studies, three commercial molecular assays: Afirma, ThyroSeq, and ThyGeNEXT/ThyraMIR were employed. The results from these assays obtained through the EMR system were reported as benign or suspicious/positive based on their own criteria. Genetic alterations were recorded if reported. We then retrospectively compared the molecular and cytological study results across the diagnostic groups to identify any patterns.

RESULTS

Patient demographics and pathology diagnosis

We identified a total of 119 surgical resection cases: 55 were classified as malignant, 62 as benign, and two as NIFTP. Sixty-five of these samples underwent cytological testing. Twenty-eight of these were malignant cases, with 17 being OPTCs and 11 being OCs. One of these samples was NIFTP. The remaining 36 samples were benign cases (OAs).

The patient’s demographics and tumor sizes are shown in Table 1. A statistically significant difference between the malignant and benign cytology groups in regard to patient age is seen, with older patients being more likely to have benign neoplasms (P = 0.0300). There is no statistically significant difference between the malignant and benign groups regarding patients’ sex or tumor size.

Table 1: Patients’ demographics and tumor size (65/119, cytology/resection).
Malignant (28) NIFTP (1) Benign (36) P-valuesa
Total malignant OPTC (17/28) OC (11/28) NIFTP OA (36) Malignant versus Benign
Gender
  % (Female/total) 35.4 (23/65) 20.0 (13/65) 15.4 (10/65) 0 44.6 (29/65) P=1.000b
  % (Male/total) 7.7 (5/65) 6.2 (4/65) 1.5 (1/65) 1.5 (1/65) 10.8 (7/65)
  % (Female/total female) 44.2 (23/52) 25.0 (13/52) 19.2 (10/52) 0 55.8 (29/52)
  % (Male/total male) 38.5 (5/13) 30.8 (4/13) 7.7 (1/13) 7.7 (1/13) 53.8 (7/13)
Age (years)
  Mean (range) 49.9 (24–78) 48.1 (24–78) 52.6 (24–75) 61 57.0 (21–80) P=0.0300c
Tumor size (cm)
  Mean (range) 2.8 (0.8-7) 3.0 (0.8–7) 2.6 (0.9–4.6) 4.2 2.7 (0.5–7.5) P=0.9051c
P-value<0.5 considered significant
Via two-tail Fischer exact test
Via Wilcoxon Rank Sum test

OPTC: Oncocytic papillary thyroid carcinoma, OC: Oncocytic carcinoma, NIFTP: Non-invasive follicular thyroid neoplasms with papillary-like nuclear features, OA: Oncocytic adenoma

Cytological diagnosis and molecular findings

Cytology FNAB of 65 cases diagnosed using the Bethesda category system, as summarized in Table 2. A higher percentage of Category III patients (63.9%) is observed among OA patients compared to Category IV patients (33.3%), but this difference is not statistically significant (P = 0.7889) (Prob[Bethesda = FN] is different across Tumor Identities). Regarding molecular testing, results are summarized in Table 3 and Figure 1. Representative tumor images are shown in Figure 2. About 3.6% (1/28) of the malignant samples were negative. Dividing it further, none of OPTCs were negative, and 9.1% (1/11) of OCs were negative. Focusing on OPTCs, 17.6% (3/17) were Afirma suspicious without any identified mutations. About 41.2% (7/11) of the OPTCs displayed Harvey rat sarcoma viral oncogene homolog (HRAS) Q61R mutations, 11.8% (2/17) had neuroblastoma RAS viral oncogene homolog (NRAS) Q61R mutations, 11.8% (2/17) had paired box 8 — peroxisome proliferator activator receptor gamma(PAX8-PPARG), 5.9% (1/17) had B-Raf proto-oncogene, serine/threonine kinase (BRAF) V600E mutations, 5.9% (1/17) had Kirsten rat sarcoma viral oncogene homolog (KRAS) p.G13R mutations, and 5.9% (1/17) had anaplastic lymphoma kinase/echinoderm microtubule-associated protein-like 4 (ALK/EML4) fusions. About 11.8% (2/17) of these samples had concurrent multiple chromosomal copy number alterations (CNAs). The OCs consisted of 36.4% (4/11) Afirma suspicious, 9.1% (1/11) ThyGeNEXT/ThyraMIR positive, and 9.1% (1/11) ThyroSeq negative. About 27.3% (3/11) displayed eukaryotic translation initiation factor 1A X-linked (EIF1AX) p.A113_splice mutations, and 18.1% (2/11) displayed multiple chromosomal CNAs (ThyroSeq). Of the benign (OAs) samples, 33.3% (12/36) were negative. The statistical difference in percentage of positive versus negative samples between the benign and malignant groups was P = 0.0035 (Prob[Sample = Negative] is different across Tumor Identities). About 22.2% (8/36) were Afirma suspicious, 22.2% (8/36) were Afirma negative, 8.3% (3/36) were ThyroSeq negative, 2.8% (1/36) were ThyGeNEXT/ThyraMIR positive, and 2.8% (1/36) were ThyGeNEXT/ThyraMIR negative. One-third (12/36) of the OAs had multiple chromosomal CNAs (ThyroSeq), two of these also showed telomerase reverse transcriptase (TERT) p.C288T, and one with thyroid stimulating hormone receptor (TSHR) p.D633E mutations. About 8.3% (3/36) had NRAS mutations, two being p.Q61R, and one being p.G13R mutations. The NIFTP displayed a HRAS p.G13R mutation.

Table 2: Histology, cytology, and molecular findings of thyroid oncocytic neoplasm.
Histology (n) Malignant Benign P-valuea
OPTC (17) OC (11) NIFTP (1) OA (36)
Cytology (%)
  Bethesda Category III 8 (47.1) 6 (55.5) 1 (100) 23 (63.9) P=0.7889
  Bethesda Category IV 8 (47.1) 5 (45.5) 0 12 (33.3)
  Bethesda Category V 1 (5.9) 1 (2.8)
Via two-tailed Fischer exact test;P-value<0.5 considered significant

OPTC: Oncocytic papillary thyroid carcinoma, OC: Oncocytic carcinoma, NIFTP: Non-invasive follicular thyroid neoplasms with papillary-like nuclear features, OA: Oncocytic adenoma

Table 3: Molecular findings of thyroid oncocytic neoplasm.
Histology (n) Malignant Benign
OPTC (17) OC (11) NIFTP (1) OA (36)
Molecular positives (n; %) HRAS p.Q6IR
(7; 41.2%; 1 with MCC)
NRAS p.Q6IR (2; 11.8%)
KRAS p.G13R (1; 5.9%)
PAX8-PPARG (2; 11.8%)
BRAF p.V600F (1; 5.9%)
ALK/EML4 fusion (1; 5.9%; 1 with MCC)
Afirma suspicous1(3; 17.6%)
Afirma suspicious1
(4; 36.4%)
EIF1AX p.A113 (3; 27.3%)
ThyroSeq MCC (2; 18.2%)
ThyGe positive2(1; 9.1%)2
ThyroSeq negative (1; 9.1%)
HRAS p.G13R ThyroSeq MCC (12; 33.3%; 2 with TERT p.C288T; 1 with TSHR p.D633E)
Afirma suspicous1(8; 22.2%)
NRAS p.Q6IR (2) and p.G13R (1) (3; 8.3%)
ThyGe positive2(1; 2.8%)2
Negative (12; 33.3%; Afrima: 8; ThyroSeq: 3; ThyGe: 1)
Negative Samples 0 1 (9.1%) 0 12 (31.6%)
50% risk of malignancy (ROM), 215–20% ROM, Negative samples malignant versus benign P-value:P=0.0035 (statistically significant). MCC: Multiple chromosomal copy number changes, OPTC: Oncocytic papillary thyroid carcinoma, OC: Oncocytic carcinoma, NIFTP: Non-invasive follicular thyroid neoplasms with papillary-like nuclear features, OA: Oncocytic adenoma, ThyGe: ThyGeNEXT/ThyraMIR, HRAS: Harvey rat sarcoma viral oncogene homolog, NRAS: Neuroblastoma RAS viral oncogene homolog, KRAS: Kirsten rat sarcoma viral oncogene homolog, PAX8-PPARG: Paired box 8 — peroxisome proliferator activator receptor gamma, BRAF: B-Raf proto-oncogene (serine/threonine kinase), ALK/EML4: Anaplastic lymphoma kinase/Echinoderm microtubule-associated protein-like 4, EIF1AX: Eukaryotic translation initiation factor 1A X-linked, TERT: Telomerase reverse transcriptase, TSHR: thyroid stimulating hormone receptor
Molecular changes across oncocytic neoplasms and oncocytic papillary thyroid carcinoma. OPTC: Oncocytic papillary thyroid carcinoma, OC: Oncocytic carcinoma, NIFTP: Noninvasive follicular thyroid neoplasms with papillary-like nuclear features, OA: Oncocytic adenoma.
Figure 1:
Molecular changes across oncocytic neoplasms and oncocytic papillary thyroid carcinoma. OPTC: Oncocytic papillary thyroid carcinoma, OC: Oncocytic carcinoma, NIFTP: Noninvasive follicular thyroid neoplasms with papillary-like nuclear features, OA: Oncocytic adenoma.
Benign and malignant oncocytic neoplasms of the thyroid, hematoxylin and eosin. The lower row (scale bar, 40 µm) provides a high magnification of the same tumors shown in the inset of the upper row (scale bar, 160 µm). (a) Oncocytic PTC (×100), with higher magnification of the boxed region in d. (b) Oncocytic adenoma (×100), with higher magnification of the boxed region in e. (c) Oncocytic carcinoma (×100), with higher magnification of the boxed region in f. (d) Oncocytic PTC with granular oncocytic cytoplasm and nuclear features of PTC, including nuclear grooves, nuclear pseudoinclusions, and papillary structure (×400). (e) Oncocytic adenoma showing oncocytic follicular cells with granular oncocytic cytoplasm, round to oval centrally located nuclei with an even chromatin pattern (×400). (f) Oncocytic carcinoma showing oncocytic follicular cells with granular oncocytic cytoplasm, nuclear pleomorphism, prominent nucleoli, and infiltrative pattern, but no PTC nuclear features (×400). PTC: Papillary thyroid carcinoma.
Figure 2:
Benign and malignant oncocytic neoplasms of the thyroid, hematoxylin and eosin. The lower row (scale bar, 40 µm) provides a high magnification of the same tumors shown in the inset of the upper row (scale bar, 160 µm). (a) Oncocytic PTC (×100), with higher magnification of the boxed region in d. (b) Oncocytic adenoma (×100), with higher magnification of the boxed region in e. (c) Oncocytic carcinoma (×100), with higher magnification of the boxed region in f. (d) Oncocytic PTC with granular oncocytic cytoplasm and nuclear features of PTC, including nuclear grooves, nuclear pseudoinclusions, and papillary structure (×400). (e) Oncocytic adenoma showing oncocytic follicular cells with granular oncocytic cytoplasm, round to oval centrally located nuclei with an even chromatin pattern (×400). (f) Oncocytic carcinoma showing oncocytic follicular cells with granular oncocytic cytoplasm, nuclear pleomorphism, prominent nucleoli, and infiltrative pattern, but no PTC nuclear features (×400). PTC: Papillary thyroid carcinoma.

DISCUSSION

Progress in the genetics of thyroid tumorigenesis has enabled the development of molecular tests that enhance cytological diagnoses and refine the risk-based stratification of indeterminate thyroid nodules. Three common molecular testing platforms include those developed by Afirma (Veracyte Inc., San Francisco, CA, USA), ThyroSeq® Genomic Classifier (GC) (Sonic Healthcare, Rye Brook, NY, USA), and ThyGeNEXT® + ThyraMIR (Interpace Diagnostics, Parsippany, NJ, USA), all of which are often considered effective rule-out tests due to their high negative predictive value. Utilizing these genetic tests can aid clinicians and surgeons in stratifying patient risk and planning effective management. Afirma improved Gene Sequencing Classifier (GSC) uses next-generation ribonucleic acid (RNA) sequencing and whole exome sequencing combined with machine learning algorithms to create classifiers that provide clinically meaningful diagnostic and prognostic information. Each sample is sequenced no <10,196 genes, providing data on gene and exon expression, mitochondrial expression, loss of heterozygosity, and detection of expressed gene variants and fusions. Among OA or OC reported in the articles, the final GSC sensitivity was 88.9% and the specificity was only 58.8%, however.[20] Interpace Diagnostics employs the ThyGeNEXT genotyping panel alongside the ThyGeNEXT/ThyraMIR molecular test, which uses a microRNA-based assay. Samples are initially assessed with ThyGeNEXT, and if no strong/driver mutation is identified, they are further evaluated with ThyGeNEXT/ThyraMIR. Mutation panel false-positive results occurred in a 33% (11/33) of oncocytic cell adenomas, and 75% (6/8) of oncocytic cell carcinomas had positive mutation panel results.[21] ThyroSeq v3 GC, the most recent and advanced version of ThyroSeq testing, uses next-generation sequencing technology to analyze 112 genes, providing information regarding >12,000 mutation hotspots and >120 fusion types. It detects mutations (single-nucleotide variants), insertions and deletions, gene fusions, gene expression alterations, and CNAs. Using ThyroSeq v3 GC, 46.7% of OA yields a negative test result. About 92.9% of OCs were correctly detected.[22]

To the best of our knowledge, this is the only recent study that compares the molecular identities of benign and malignant oncocytic neoplasms using three commercially available molecular testing services. Two previous studies have investigated the molecular differences between malignant and benign oncocytic neoplasms. Both studies were performed before 2022, however, and thus use “Hürthle cell” nomenclature. Ganly et al. examined samples from 26 patients, using mass spectrometry-based genotyping to identify hotspot point mutations in common thyroid oncogenes, common oncogenic fusions, global copy number changes, and gene expression profiles.[13] This study found differences between Hürthle cell adenomas (HAs) and invasive Hürthle cell carcinoma (HCC) in gene expression and in the PIK3CA-Akt-mTOR and Wnt/β-catenin pathway. Differences between HA and HCC in general (minimally invasive and widely invasive) were not elicited, as HA and minimally invasive HCC clustered together.[13] Doerfler et al. analyzed 58 HNs using the ThyroSeq next-generation sequencing panel.[14] This study was specifically evaluating the prevalence of DNA CNAs. It found that CNAs were present in 81% of HCC and 38% of HA. They concluded that CNAs are a characteristic of both HCC and HA but occur less frequently in the latter. They noted a significant positive correlation between cancer risk and nodule size.[14]

This study was intended to re-examine those statements, considering advancing molecular technology. Within this study, there was a statistically significant difference between the occurrence of molecular negative samples between the benign and malignant groups (P = 0.0035). Due to the small sample sizes in our study, statistical analysis was not done on specific molecular positives. On visual inspection, there are certain mutations only present in certain diagnostic groups. HRAS p.Q61R, BRAF p.V600F mutations, KRAS p.G13R, ALK/EML4 gene fusions, and PAX8-PPARG gene fusions were unique to OPTCs. Seven OPTCs demonstrated HRAS Q61R mutation that was not noted in OA. Some reports found that HRAS Q61R mutation was only identified in malignant PTC cases.[23,24] However, the positive predictive value of HRAS Q61R mutation for malignancy was 45.5% in one review article.[25] EIF1AX mutations were unique to OCs in this cohort. While EIF1AX mutations recently were reported in both benign and malignant thyroid tumors, p.A113_splice mutation was more susceptible to malignancy.[26] TSHR p.D633E and TERT c.C22BT mutations were only seen in OAs. Notably, while other studies support TSHR mutations being suggestive of adenomas.[27] TERT mutations are commonly seen in malignant neoplasms.[10]

One of the previously identified defining characteristics of ONs is the presence of multiple chromosome copy number changes (MCCs), with previous studies claiming a third of all oncocytic neoplasms display MCCs.[2,14] The data from this study do not fully align with this finding, as only 24.6% (16/65) of the molecularly tested neoplasms displayed MCCs. Notably, among OAs, there was also a higher percentage of MCCs, with 33.3% (12/36) of the OAs possessing MCCs compared to 18.2% (2/11) of the OCs and 11.8% (2/17) of the OPTCs. Thus, in this study, benign OAs were more likely to display MCCs compared to malignant OC/OPTCs. This further contradicts previous research, as Doerfler et al. found that MCCs, while present in benign neoplasms, are more common in malignant neoplasms.[14] This discrepancy indicates that the presence of MCCs may not be a good indicator of a neoplasm’s malignant potential. However, further comprehensive investigation with larger case numbers would be necessary to reach a definitive conclusion.

The Bethesda System for Reporting Thyroid Cytopathology represents an international reporting system for thyroid cytology used to standardize the reporting of fine-needle aspiration cytology.[9] It divides samples into six categories based upon their malignancy likelihoods, which range from <5% malignancy likelihood to >95%. Based on the most recent updates released in 2023: Category I is nondiagnostic, Category II is benign, Category III represents atypia of undetermined significance (AUS), Category IV is FN (specify if oncocytic type), Category V is suspicious for malignancy, and Category VI is malignant. Each of these categories then has a prescribed management approach. Categories III-IV are considered indeterminant categories and may require further testing. Furthermore, only Bethesda Category IV has a specifier for oncocytic type, while Category III has specifiers for nuclear atypia.[9] As such, almost all our molecularly tested samples were either Category III (AUS) or Category IV FN/ON. Although no statistically significant difference between the Bethesda Categories and benign and malignant samples is observed in our study, Bethesda Category III is more likely to be benign (63.2%, 24/38) than Category IV (48.0%, 12/25).

Regarding secondary findings, there was a statistically significant difference between the malignant and benign groups regarding patient age, with older patients being more likely to have benign neoplasms. Previous research has shown different results, with advanced patient age (over 65) being correlated with an increased likelihood of malignancy in oncocytic neoplasms.[28,29] Our study does, however, display a similar mean age of patients, an age of around 50, as reported elsewhere.[29] Our study found no statistically significant differences between the malignant and benign groups in regard to patient gender or tumor size, however. The majority of the samples in this study were from women, which is to be expected, as previous studies found that oncocytic thyroid neoplasms were less common in men.[30] Specifically, in literature, the incidence of males is 20–30%,[31] which is very similar to the demographics in this study. Notably, previous studies also found that men have a statistically significant increased incidence of oncocytic thyroid carcinomas,[32] but this was not seen in our study. Previous research has also shown that there is a correlation between tumor size and its malignancy risk;[28,29] however, our study did not show any significant difference between the groups. This suggests that tumor size is not very predictive of a given neoplasm malignancy.

There are several limitations to this study. This is a retrospective study rooted in the review of EMRs. Thus, any data included in this study are only as reliable as those who entered the data points or measured the data points. Furthermore, our information is limited to what tests were performed at the time of identification and to what was included in reports. Notably, only tests of clinical significance were performed. This leads to another limitation of the study. Each sample was only analyzed by one assay, as that is what is clinically indicated, so results from three different genetic assays from three different companies were compared without standardization. This heterogeneity of molecular data reduces the internal consistency of the results and potentially the strength of the findings. The sample size of this study is also a limitation. As oncocytic tumors are rare thyroid tumors,[29] the number of samples was somewhat limited. Our subgroup sample sizes (OA, OPTC, NIFTP, and OC) also varied substantially, presumably reflecting the differing prevalence of the subgroup identities. All the samples in this study also came from a single institution, limiting geographic diversity. These factors, unfortunately, make identifying statistically significant results difficult, limiting the conclusions that can be drawn and their impact, as well as limiting the generalizability of the results.

SUMMARY

In conclusion, various genetic alterations are seen in both benign and malignant ONs. In this study, 3.6% (1/28) of malignant OPTC/ONs were reported as negative by molecular studies, and genetic alterations were identified in 66.6% (24/36) OAs. Notably, some genetic mutations were unique to specific groups, such as BRAF, ALK/EML4, and PAX8-PPARG in OPTCs or EIF1AX in OCs. These unique profiles may provide some insight into tumor classification; however, this information should be used with caution, as these findings are not necessarily consistent with other studies.[10] Notably, TERT and NRAS mutations were seen in benign OAs. Overall, currently available thyroid molecular testing demonstrates diversified genetic changes that cannot reliably differentiate benign from malignant ONs in the majority of cases. Our data do suggest, however, that samples testing molecularly negative are more likely to be benign ONs compared to malignant ONs.

AVAILABILITY OF DATA AND MATERIALS

The datasets used and analyzed during the present study are available from the corresponding author on reasonable request.

ABBREVIATIONS

AUS: Atypia of undetermined significance

BRAF: B-Raf proto-oncogene, serine/threonine kinase

CNA: Copy number alterations

EIF1AX: Eukaryotic translation initiation factor 1A X-linked

EMR: Electronic medical record

FN: Follicular neoplasm

FNAB: Fine-needle aspiration biopsy

FTC: Follicular thyroid carcinoma

HA: Hürthle cell adenoma

HCC: Hürthle cell carcinoma

HRAS: Harvey rat sarcoma viral oncogene homolog

KRAS: Kirsten rat sarcoma viral oncogene homolog

MCC: Multiple chromosome copy number changes

NIFTP: Non-invasive follicular thyroid neoplasms with papillary-like nuclear features

NRAS: Neuroblastoma RAS viral oncogene homolog

OA: Oncocytic adenoma

OC: Oncocytic carcinoma

ON: Oncocytic thyroid follicular neoplasm

OPTC: Oncocytic papillary thyroid carcinoma

PAX8-PPARG: Paired box 8 — peroxisome proliferator activator receptor gamma

PTC: Papillary thyroid carcinoma

ROM: Risk of malignancy

TERT: Telomerase reverse transcriptase

ThyGe: ThyGeNEXT/ThyraMIR

TSHR: Thyroid stimulating hormone receptor

AUTHOR CONTRIBUTIONS

SR and LR: Contributed to the study conception; LR: Contributed to the clinical management of the patients; CC and SR: Contributed to the data acquisition, analysis, and interpretation; CC and SR: Contributed to the drafting of the manuscript. All authors contributed to the critical revision and final approval of the manuscript. All authors are accountable for all aspects of the work. All authors meet the authorship status of ICMJE.

ACKNOWLEDGMENT

Not applicable.

ETHICS APPROVAL AND CONSENT TO PARTICIPATE

This study was performed with the approval of the Institutional Review Board at Cooper University Hospital (IRB#: 18-065EX), dated 06/04/2018, and was deemed exempt from requiring written informed consent. This is a retrospective study, and a waiver of consent for the use of some of the tissue does not adversely affect the rights and welfare of the patients. All ethical principles comply with the Helsinki Declaration.

CONFLICTS OF INTEREST

The authors declare no conflicts of interest.

EDITORIAL/PEER REVIEW

To ensure the integrity and highest quality of CytoJournal publications, the review process of this manuscript was conducted under a double-blind model (authors are blinded for reviewers and vice versa) through an automatic online system.

FUNDING: Not applicable.

References

  1. , , , , . Follicular thyroid cancer and Hürthle cell carcinoma: Challenges in diagnosis, treatment, and clinical management. Lancet Diabetes Endocrinol. 2018;6:500-14.
    [CrossRef] [PubMed] [Google Scholar]
  2. , , , , , , et al. Overview of the 2022 WHO classification of thyroid neoplasms. Endocr Pathol. 2022;33:27-63.
    [CrossRef] [PubMed] [Google Scholar]
  3. , , . Thyroid cancer: A review. JAMA. 2024;331:425-35.
    [CrossRef] [PubMed] [Google Scholar]
  4. , , , , , , et al. Hürthle cell carcinoma: A 60-year experience. Ann Surg Oncol. 2002;9:197-203.
    [CrossRef] [PubMed] [Google Scholar]
  5. , , , , , , et al. American Thyroid Association statement on preoperative imaging for thyroid cancer surgery. Thyroid. 2015;25:3-14.
    [CrossRef] [PubMed] [Google Scholar]
  6. , , , , . PET/CT in the management of thyroid cancers. AJR Am J Roentgenol. 2014;202:1316-29.
    [CrossRef] [PubMed] [Google Scholar]
  7. , , , . Hürthle cell-predominant thyroid fine needle aspiration cytology: A four risk-factor model highly accurate in excluding malignancy and predicting neoplasm. Diagn Cytopathol. 2022;50:424-35.
    [CrossRef] [PubMed] [Google Scholar]
  8. , , . Hürthle cell neoplasm: Correlation of gray-scale and power Doppler sonographic findings with gross pathology. J Clin Ultrasound. 2010;38:169-76.
    [CrossRef] [PubMed] [Google Scholar]
  9. , , , , , . The 2023 Bethesda system for reporting thyroid cytopathology. Thyroid. 2023;33:1039-44.
    [CrossRef] [PubMed] [Google Scholar]
  10. , , , , , , et al. Widespread chromosomal losses and mitochondrial DNA alterations as genetic drivers in Hürthle cell carcinoma. Cancer Cell. 2018;34:242-55.e5.
    [CrossRef] [PubMed] [Google Scholar]
  11. , , , , , , et al. Disruptive mitochondrial DNA mutations in complex I subunits are markers of oncocytic phenotype in thyroid tumors. Proc Natl Acad Sci U S A. 2007;104:9001-6.
    [CrossRef] [PubMed] [Google Scholar]
  12. , , , , , , et al. Somatic and germline mutation in GRIM-19, a dual function gene involved in mitochondrial metabolism and cell death, is linked to mitochondrion-rich (Hürthle cell) tumours of the thyroid. Br J Cancer. 2005;92:1892-8.
    [CrossRef] [PubMed] [Google Scholar]
  13. , , , , , , et al. Genomic dissection of Hürthle cell carcinoma reveals a unique class of thyroid malignancy. J Clin Endocrinol Metab. 2013;98:E962-72.
    [CrossRef] [PubMed] [Google Scholar]
  14. , , , , , , et al. Molecular alterations in Hürthle cell nodules and preoperative cancer risk. Endocr Relat Cancer. 2021;28:301-9.
    [CrossRef] [PubMed] [Google Scholar]
  15. , , , , , , et al. Independent comparison of the Afirma genomic sequencing classifier and gene expression classifier for cytologically indeterminate thyroid nodules. Thyroid. 2019;29:650-6.
    [CrossRef] [PubMed] [Google Scholar]
  16. , , , . Hürthle cell lesions of the thyroid: Progress made and challenges remaining. Cancer Cytopathol. 2021;129:347-62.
    [CrossRef] [PubMed] [Google Scholar]
  17. , , , , , , et al. Molecular alterations and comprehensive clinical management of oncocytic thyroid carcinoma: A review and multidisciplinary 2023 update. JAMA Otolaryngol Head Neck Surg. 2024;150:265-72.
    [CrossRef] [PubMed] [Google Scholar]
  18. , , , , . Hürthle cell neoplasms of the thyroid: Pathologic outcomes and ultrasonographic analysis. Laryngoscope Investig Otolaryngol. 2020;5:1254-9.
    [CrossRef] [PubMed] [Google Scholar]
  19. , , , , , , et al. Malignancy risk in indeterminate thyroid nodules with Hürthle cells: role of autoimmune thyroiditis. Endocrine. 2022;75(3):823-828.
    [CrossRef] [PubMed] [Google Scholar]
  20. , , , , , , et al. Performance of a genomic sequencing classifier for the preoperative diagnosis of cytologically indeterminate thyroid nodules. JAMA Surg. 2018;153:817-24.
    [CrossRef] [PubMed] [Google Scholar]
  21. , , , , , , et al. A retrospective evaluation of the diagnostic performance of an interdependent pairwise MicroRNA expression analysis with a mutation panel in indeterminate thyroid nodules. Thyroid. 2022;32:1362-71.
    [CrossRef] [PubMed] [Google Scholar]
  22. , , , , , , et al. Analytical performance of the ThyroSeq v3 genomic classifier for cancer diagnosis in thyroid nodules. Cancer. 2018;124:1682-90.
    [CrossRef] [PubMed] [Google Scholar]
  23. , , , , , , et al. Somatic genetic alterations in a large cohort of pediatric thyroid nodules. Endocr Connect. 2019;8:796-805.
    [CrossRef] [PubMed] [Google Scholar]
  24. , , , , , , et al. A shift in molecular drivers of papillary thyroid carcinoma following the 2017 world health organization classification: Characterization of 554 consecutive tumors with emphasis on BRAF-negative cases. Mod Pathol. 2023;36:100242.
    [CrossRef] [PubMed] [Google Scholar]
  25. , , , , , , et al. Molecular variants and their risks for malignancy in cytologically indeterminate thyroid nodules. Thyroid. 2019;29:1594-605.
    [CrossRef] [PubMed] [Google Scholar]
  26. , , , , , , et al. EIF1AX mutation in thyroid tumors: A retrospective analysis of cytology, histopathology and co-mutation profiles. J Otolaryngol Head Neck Surg. 2022;51:43.
    [CrossRef] [PubMed] [Google Scholar]
  27. , , , . Impact of molecular testing on detecting mimics of oncocytic neoplasms in thyroid fine-needle aspirates diagnosed as follicular neoplasm of Hürthle cell (oncocytic) type. Cancer Cytopathol. 2021;129:788-97.
    [CrossRef] [PubMed] [Google Scholar]
  28. , , , , , , et al. Older age and larger tumor size predict malignancy in Hürthle cell neoplasms of the thyroid. Ann Surg Oncol. 2008;15:2842-6.
    [CrossRef] [PubMed] [Google Scholar]
  29. , , , . Oncocytic cell tumors of the thyroid: factors predicting malignancy and influencing prognosis, treatment decisions, and outcomes. World J Surg. 2010;34:836-43.
    [CrossRef] [PubMed] [Google Scholar]
  30. , , . Oncocytic neoplasms of the thyroid gland. Acta Pathol Jpn. 1992;42:305-15.
    [CrossRef] [PubMed] [Google Scholar]
  31. , , , , , . Hurthle cell tumours of the thyroid. Personal experience and review of the literature. Acta Otorhinolaryngol Ital. 2009;29:305-11.
    [Google Scholar]
  32. , , , , . Follicular Hürthle cell tumors of the thyroid gland. Cancer. 1991;68:1944-53.
    [CrossRef] [PubMed] [Google Scholar]
Show Sections