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Comprehensive Analysis of the Transcriptional and Mutational Landscape of Follicular and Papillary Thyroid Cancers

Overview
Journal PLoS Genet
Specialty Genetics
Date 2016 Aug 6
PMID 27494611
Citations 158
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Abstract

Follicular thyroid carcinoma (FTC) and benign follicular adenoma (FA) are indistinguishable by preoperative diagnosis due to their similar histological features. Here we report the first RNA sequencing study of these tumors, with data for 30 minimally invasive FTCs (miFTCs) and 25 FAs. We also compared 77 classical papillary thyroid carcinomas (cPTCs) and 48 follicular variant of PTCs (FVPTCs) to observe the differences in their molecular properties. Mutations in H/K/NRAS, DICER1, EIF1AX, IDH1, PTEN, SOS1, and SPOP were identified in miFTC or FA. We identified a low frequency of fusion genes in miFTC (only one, PAX8-PPARG), but a high frequency of that in PTC (17.60%). The frequencies of BRAFV600E and H/K/NRAS mutations were substantially different in miFTC and cPTC, and those of FVPTC were intermediate between miFTC and cPTC. Gene expression analysis demonstrated three molecular subtypes regardless of their histological features, including Non-BRAF-Non-RAS (NBNR), as well as BRAF-like and RAS-like. The novel molecular subtype, NBNR, was associated with DICER1, EIF1AX, IDH1, PTEN, SOS1, SPOP, and PAX8-PPARG. The transcriptome of miFTC or encapsulated FVPTC was indistinguishable from that of FA, providing a molecular explanation for the similarly indolent behavior of these tumors. We identified upregulation of genes that are related to mitochondrial biogenesis including ESRRA and PPARGC1A in oncocytic follicular thyroid neoplasm. Arm-level copy number variations were correlated to histological and molecular characteristics. These results expanded the current molecular understanding of thyroid cancer and may lead to new diagnostic and therapeutic approaches to the disease.

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References
1.
Davis C, Ricketts C, Wang M, Yang L, Cherniack A, Shen H . The somatic genomic landscape of chromophobe renal cell carcinoma. Cancer Cell. 2014; 26(3):319-330. PMC: 4160352. DOI: 10.1016/j.ccr.2014.07.014. View

2.
Anders S, Pyl P, Huber W . HTSeq--a Python framework to work with high-throughput sequencing data. Bioinformatics. 2014; 31(2):166-9. PMC: 4287950. DOI: 10.1093/bioinformatics/btu638. View

3.
Zhou J, Zhang T, Wang B, Gao H, Xu X . Identification of a novel gene fusion RNF213‑SLC26A11 in chronic myeloid leukemia by RNA-Seq. Mol Med Rep. 2012; 7(2):591-7. DOI: 10.3892/mmr.2012.1183. View

4.
Heravi-Moussavi A, Anglesio M, Cheng S, Senz J, Yang W, Prentice L . Recurrent somatic DICER1 mutations in nonepithelial ovarian cancers. N Engl J Med. 2011; 366(3):234-42. DOI: 10.1056/NEJMoa1102903. View

5.
Subramanian A, Tamayo P, Mootha V, Mukherjee S, Ebert B, Gillette M . Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles. Proc Natl Acad Sci U S A. 2005; 102(43):15545-50. PMC: 1239896. DOI: 10.1073/pnas.0506580102. View