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

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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 BRAF V600E 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.

          Author Summary

          Recently, The Cancer Genome Atlas proposed an improved classification of the subtypes of papillary thyroid carcinoma (PTC) based on gene expression profiles, which better represents cell signaling and differentiation. However, a molecular characterization of follicular thyroid carcinoma (FTC), which has a greater tendency for hematogenous spread to lung and bone is not yet fully elucidated. In this study, we describe the first RNA sequencing data of minimally invasive FTC (miFTC) and benign follicular adenoma (FA), which cause diagnostic difficulties due to their similar histological features. Additionally, classical PTC and follicular variant of PTC (FVPTC) were sequenced to compare their transcriptional and mutational landscape. BRAF, H/K/NRAS, fusion genes, and copy number variations were associated with tumor histology. Based on gene expression profiles, thyroid tumors were classified as three molecular subtypes regardless of histological subtypes, BRAF–like, RAS–like, and Non– BRAF–Non– RAS. In particular, we found identical gene expression profiles between miFTC, FA, and encapsulated FVPTC. Oncocytic follicular thyroid tumors have gene expression signatures related to mitochondrial biogenesis including ESRRA and PPARGC1A. These results expanded the current molecular understanding of thyroid cancer to its follicular types.

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          The somatic genomic landscape of chromophobe renal cell carcinoma.

          We describe the landscape of somatic genomic alterations of 66 chromophobe renal cell carcinomas (ChRCCs) on the basis of multidimensional and comprehensive characterization, including mtDNA and whole-genome sequencing. The result is consistent that ChRCC originates from the distal nephron compared with other kidney cancers with more proximal origins. Combined mtDNA and gene expression analysis implicates changes in mitochondrial function as a component of the disease biology, while suggesting alternative roles for mtDNA mutations in cancers relying on oxidative phosphorylation. Genomic rearrangements lead to recurrent structural breakpoints within TERT promoter region, which correlates with highly elevated TERT expression and manifestation of kataegis, representing a mechanism of TERT upregulation in cancer distinct from previously observed amplifications and point mutations.
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            Polycomb group proteins: multi-faceted regulators of somatic stem cells and cancer.

            Polycomb Group (PcG) proteins are transcriptional repressors that epigenetically modify chromatin and participate in the establishment and maintenance of cell fates. These proteins play important roles in both stem cell self-renewal and in cancer development. Our understanding of their mechanism of action has greatly advanced over the past 10 years, but many unanswered questions remain. In this review, we present the currently available experimental data that connect PcG protein function with some of the key processes which govern somatic stem cell activity. We also highlight recent studies suggesting that a delicate balance in PcG gene dosage is crucial for proper stem cell homeostasis and prevention of cancer stem cell development. Copyright 2010 Elsevier Inc. All rights reserved.
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              Systematic evaluation of spliced alignment programs for RNA-seq data

              High-throughput RNA sequencing is an increasingly accessible method for studying gene structure and activity on a genome-wide scale. A critical step in RNA-seq data analysis is the alignment of partial transcript reads to a reference genome sequence. to assess the performance of current mapping software, we invited developers of RNA-seq aligners to process four large human and mouse RNA-seq data sets. in total, we compared 26 mapping protocols based on 11 programs and pipelines and found major performance differences between methods on numerous benchmarks, including alignment yield, basewise accuracy, mismatch and gap placement, exon junction discovery and suitability of alignments for transcript reconstruction. We observed concordant results on real and simulated RNA-seq data, confirming the relevance of the metrics employed. Future developments in RNA-seq alignment methods would benefit from improved placement of multimapped reads, balanced utilization of existing gene annotation and a reduced false discovery rate for splice junctions.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS Genet
                PLoS Genet
                plos
                plosgen
                PLoS Genetics
                Public Library of Science (San Francisco, CA USA )
                1553-7390
                1553-7404
                5 August 2016
                August 2016
                : 12
                : 8
                : e1006239
                Affiliations
                [1 ]Genomic Medicine Institute, Medical Research Center, Seoul National University, Seoul, Republic of Korea
                [2 ]Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea
                [3 ]Department of Surgery, Seoul National University College of Medicine, Seoul, Republic of Korea
                [4 ]Cancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea
                [5 ]Research Institute, National Medical Center, Seoul, Republic of Korea
                [6 ]Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, Republic of Korea
                [7 ]Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
                [8 ]Department of Pathology, Seoul National University College of Medicine, Seoul, Republic of Korea
                [9 ]Macrogen Inc., Seoul, Republic of Korea
                [10 ]Department of Biochemistry and Molecular Biology, Seoul National University College of Medicine, Seoul, Republic of Korea
                University of Michigan Medical School, UNITED STATES
                Author notes

                JSS and JYS are affiliated with Macrogen Inc. The affiliations to this company, along with any other relevant declarations relating to employment, consultancy, patents, products in development or marketed products etc, do not alter the authors' adherence to PLOS GENETICS policies on sharing data and materials.

                Conceived and designed the experiments: JSS YJP KEL. Performed the experiments: JYS HGJ BAK. Analyzed the data: SKY SL HC. Wrote the paper: SKY SL SjK. Contributed to data interpretation: JIK. Contributed to the histopathological review: JKW. Analyzed clinical data: SjK YSS SWC DJP.

                Author information
                http://orcid.org/0000-0003-1459-8093
                http://orcid.org/0000-0001-9630-3839
                http://orcid.org/0000-0002-3671-6364
                Article
                PGENETICS-D-16-00049
                10.1371/journal.pgen.1006239
                4975456
                27494611
                ad0c459a-dec2-47ec-ab4e-b648b2e351a0
                © 2016 Yoo et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 7 January 2016
                : 13 July 2016
                Page count
                Figures: 5, Tables: 1, Pages: 23
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100004726, Ministry of Health & Welfare, Republic of Korea;
                Award ID: HI13C1927
                Award Recipient :
                This research was supported by a grant of the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea (grant number: HI13C1927). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Anatomy
                Endocrine System
                Thyroid
                Medicine and Health Sciences
                Anatomy
                Endocrine System
                Thyroid
                Biology and Life Sciences
                Genetics
                Gene Types
                Fusion Genes
                Biology and Life Sciences
                Genetics
                Gene Expression
                Medicine and Health Sciences
                Oncology
                Cancers and Neoplasms
                Lung and Intrathoracic Tumors
                Thymic Tumors
                Thyroid Carcinomas
                Medicine and Health Sciences
                Oncology
                Cancers and Neoplasms
                Carcinomas
                Thyroid Carcinomas
                Medicine and Health Sciences
                Oncology
                Cancers and Neoplasms
                Endocrine Tumors
                Thyroid Carcinomas
                Biology and Life Sciences
                Genetics
                Mutation
                Biology and Life Sciences
                Anatomy
                Histology
                Medicine and Health Sciences
                Anatomy
                Histology
                Biology and Life Sciences
                Cell Biology
                Chromosome Biology
                Chromosomes
                Biology and life sciences
                Cell biology
                Signal transduction
                Cell signaling
                Signaling cascades
                MAPK signaling cascades
                Custom metadata
                All relevant data are within the paper and its Supporting Information files. Sequenced paired-end reads are available in EBI European Nucleotide Archive database with accession number PRJEB11591 (Direct access: http://www.ebi.ac.uk/ena/data/view/PRJEB11591).

                Genetics
                Genetics

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