BRAF V600E mutation is primarily present in conventional papillary thyroid cancer. It is associated with an aggressive tumor phenotype and higher risk of recurrent and persistent disease in patients with conventional papillary thyroid cancer. Testing for this mutation may be useful for selecting initial therapy and for follow-up monitoring.
BACKGROUND:The authors are interested in identifying molecular markers that can aid in the diagnosis of adrenocortical carcinoma (ACC). The aim of this study was to identify microRNAs (miRNAs or miRs) that are differentially expressed in malignant adrenocortical tumors as compared with benign tumors and assess their potential as diagnostic predictors.METHODS:Differentially expressed miRNAs were identified using microarray profiling of adrenocortical tumors and validated by quantitative real‐time RT‐PCR.RESULTS:Microarray profiling in benign and primary malignant adrenocortical tumors revealed several significant differences between these histological groups. By using directed quantitative RT‐PCR analysis on a subset of these differentially expressed miRNAs, the authors determined that miRs ‐100, ‐125b, and ‐195 were significantly down‐regulated, whereas miR‐483‐5p was significantly up‐regulated in malignant as compared with benign tumors. Furthermore, the current study shows that miR‐483‐5p expression can accurately categorize tumors as benign or malignant.CONCLUSIONS:The authors identified 4 miRNAs that are dysregulated in adrenocortical carcinoma. The high expression of one of these, miR‐483‐5p, appears to be a defining characteristic of adrenocortical malignancies, and can thus be used to accurately distinguish between benign and malignant adrenocortical tumors. Cancer 2011. © 2010 American Cancer Society.
BackgroundThyroid fine-needle aspiration (FNA) biopsy is indeterminate or suspicious in up to 30% of cases and these patients are commonly subjected to at least a diagnostic hemithyroidectomy. If malignant on histology, a completion thyroidectomy is usually performed, which may be associated with higher morbidity. To determine the clinical utility of genetic testing in thyroid FNA biopsy, we conducted a prospective clinical trial.MethodsFour hundred seventeen patients with 455 thyroid nodules were enrolled and had genetic testing for common somatic mutations (BRAF, NRAS, KRAS) and gene rearrangements (RET/PTC1, RET/PTC3, RAS, TRK1) by PCR and direct sequencing and by nested PCR, respectively. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of genetic testing in thyroid FNA biopsy were determined based on the histologic diagnosis.ResultsOne hundred twenty-five of 455 thyroid nodule FNA biopsies were indeterminate or suspicious on cytologic examination. Overall, 50 mutations were identified (23 BRAF, 4 RET/PTC1, 2 RET/PTC3, 21 NRAS) in the thyroid FNA biopsies. There were significantly more mutations detected in malignant thyroid nodules than in benign (P = 0.0001). For thyroid FNA biopsies that were indeterminate or suspicious, genetic testing had a sensitivity of 12%, specificity of 98%, PPV of 38%, and NPV of 65%.ConclusionsGenetic testing for somatic mutations in thyroid FNA biopsy samples is feasible and identifies a subset of malignant thyroid neoplasms that are indeterminate or suspicious on FNA biopsy. Genetic testing for common somatic genetic alterations thus could allow for more definitive initial thyroidectomy in those with positive results.
Background: Although hereditary nonmedullary thyroid cancer is recognized as a distinct and isolated familial syndrome, the precise prevalence and genetic basis are poorly understood. Moreover, whether familial nonmedullary thyroid cancer (FNMTC) has a more aggressive clinical behavior is controversial. The objectives of this study were to determine the prevalence of FNMTC, and compare the extent of disease and tumor somatic genetic alteration in patients with familial and sporadic papillary thyroid cancer. Methods: The main study entry criterion was patients who had a thyroid nodule that required a clinical evaluation with fine-needle aspiration biopsy and or thyroidectomy. A family history questionnaire was used to determine the presence of familial and sporadic thyroid cancer. Thyroid nodule fine-needle aspiration biopsy samples and tumor tissue at the time of thyroidectomy were used to test for somatic genetic mutations (BRAF V600E, NRAS, KRAS, NTRK1, RET/PTC1, and RET/PTC3). Results: There were 402 patients with 509 thyroid nodules enrolled in the study. The prevalence of FNMTC was 8.8% in all patients with thyroid cancer and 9.4% in patients with only papillary thyroid cancer. None of the patients with FNMTC had another familial cancer syndrome. There was no significant difference in gender, tumor size, lymph node metastasis, and overall stage between sporadic and familial cases of thyroid cancer. Patients with FNMTC were younger at diagnosis than patients with sporadic papillary thyroid cancer ( p < 0.002). Seventy-nine of the 504 thyroid nodules had somatic genetic mutations (29 BRAF V600E, 29 NRAS, 8 KRAS, 1 NTRK1, 4 RET/ PTC1, and 8 RET/PTC3). There was no significant difference in the number or type of somatic mutations between sporadic and hereditary cases of papillary thyroid cancer. Conclusions: We found a higher prevalence of FNMTC in patients with papillary thyroid cancer than previously reported. Patients with FNMTC present at a younger age. Somatic mutations and extent of disease are similar in sporadic and FNMTC cases.
Key Points Patient-derived iPSCs recapitulate juvenile myelomonocytic leukemia. MEK inhibition normalizes GM-CSF independence and hypersensitivity in myeloid precursors from JMML iPSCs.
BACKGROUND: Approximately 30% of fine‐needle aspiration (FNA) biopsies of thyroid nodules are indeterminate or nondiagnostic. Recent studies suggest microRNA (miRNA, miR) is differentially expressed in malignant tumors and may have a role in carcinogenesis, including thyroid cancer. The authors therefore tested the hypothesis that miRNA expression analysis would identify putative markers that could distinguish benign from malignant thyroid neoplasms that are often indeterminate on FNA biopsy. METHODS: A miRNA array was used to identify differentially expressed genes (5‐fold higher or lower) in pooled normal, malignant, and benign thyroid tissue samples. Real‐time quantitative polymerase chain reaction was used to confirm miRNA array expression data in 104 tissue samples (7 normal thyroid, 14 hyperplastic nodule, 12 follicular variant of papillary thyroid cancer, 8 papillary thyroid cancer, 15 follicular adenoma, 12 follicular carcinoma, 12 Hurthle cell adenoma, 20 Hurthle cell carcinoma, and 4 anaplastic carcinoma cases), and 125 indeterminate clinical FNA samples. The diagnostic accuracy of differentially expressed genes was determined by analyzing receiver operating characteristics. RESULTS: Ten miRNAs showed >5‐fold expression difference between benign and malignant thyroid neoplasms on miRNA array analysis. Four of the 10 miRNAs were validated to be significantly differentially expressed between benign and malignant thyroid neoplasms by quantitative polymerase chain reaction (P < .002): miR‐100, miR‐125b, miR‐138, and miR‐768‐3p were overexpressed in malignant samples of follicular origin (P < .001), and in Hurthle cell carcinoma samples alone (P < .01). Only miR‐125b was significantly overexpressed in follicular carcinoma samples (P < .05). The accuracy for distinguishing benign from malignant thyroid neoplasms was 79% overall, 98% for Hurthle cell neoplasms, and 71% for follicular neoplasms. The miR‐138 was overexpressed in the FNA samples (P = .04) that were malignant on final pathology with an accuracy of 75%. CONCLUSIONS: MicroRNA expression differs for normal, benign, and malignant thyroid tissue. Expression analysis of differentially expressed miRNA could help distinguish benign from malignant thyroid neoplasms that are indeterminate on thyroid FNA biopsy. Cancer 2011. © 2011 American Cancer Society.
Setting: Tertiary medical center.Patients: Eighty-five patients with benign adrenocortical tumors (n=74) and adrenocortical carcinoma (n=11).Intervention: Real-time quantitative reverse transcription-polymerase chain reaction (RT-PCR) in 89 adrenocortical tissue samples (11 malignant and 78 benign). The criteria for differentially expressed genes between benign and malignant adrenocortical tumors were a false discovery rate of less than 5% and an adjusted P Ͻ.01. Genes differentially expressed by 8-fold higher or lower were validated by RT-PCR. Main Outcome Measures:The diagnostic accuracy of differentially expressed genes as determined by the area under the receiver operating characteristic curve (AUC). Results:We found 37 genes differentially expressed by 8-fold higher or lower. Fifteen genes were downregulated and 22 were upregulated in adrenocortical carcinoma. Of the 37 genes, 29 differentially expressed by microarray correlated with the gene expression levels by quantitative RT-PCR (PՅ.01). Of the 37 genes validated by RT-PCR, 22 were significantly differentially expressed between benign and malignant adrenocortical tumors (PϽ.05). Five of these 22 genes had an AUC of 0.80 or greater (the AUC for IL13RA2 was 0.90; HTR2B, 0.87; CCNB2, 0.86; RARRES2, 0.86; and SLC16A9, 0.80), indicating high diagnostic accuracy for distinguishing benign from malignant adrenocortical tumors. Conclusion:We identified 37 genes that are dysregulated in adrenocortical carcinoma, and several of the differentially expressed genes have excellent diagnostic accuracy for distinguishing benign from malignant adrenocortical tumors.
Background Age disparity in thyroid cancer incidence and outcome in adolescents and young adults (AYAs) with thyroid cancer are underreported. We compared the molecular and clinical features of papillary thyroid cancer (PTC) in AYAs to other age groups. Methods 1,011 patients underwent initial treatment for PTC at the University of California, San Francisco. Patients were subdivided into two age groups: 15–39 (AYA group) and 40+ years. Demographic, clinical and survival data in our cohort was also compared to SEER data. In a subset of the study cohort, the primary tumors were analyzed by genome-wide expression analysis, genotyping for common somatic mutations, and pathway specific gene expression array among the age groups. Results The percentage of women and lymph node metastasis rate were significantly higher in the AYA group. In the AYA group, the rate of distant metastasis was lower. The disease-free survival and median overall survival of AYAs was significantly higher. The better survival in our AYA patients was also apparent in the national SEER data. Unsupervised cluster analysis of gene expression data showed no distinct clustering in 96 PTC samples by age. The frequency and type of somatic mutations in the primary tumors were not significantly different between age groups (AYAs vs. 40+ years). Six genes (ECM1, ERBB2, UPA, PFKFB2, MEIS2 and CA2) were significantly differentially expressed between age groups. Conclusions The extent of disease at presentation and survival in AYA with PTC is different than in older patients. This difference may be due to several candidate genes that are differentially expressed and which may have important roles in tumor cell biology. No distinct gene expression profile exists in PTC between AYA and 40+ groups.
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