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      Key tumor suppressor genes inactivated by “greater promoter” methylation and somatic mutations in head and neck cancer

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          Abstract

          Tumor suppressor genes (TSGs) are commonly inactivated by somatic mutation and/or promoter methylation; yet, recent high-throughput genomic studies have not identified key TSGs inactivated by both mechanisms. We pursued an integrated molecular analysis based on methylation binding domain sequencing (MBD-seq), 450K Methylation arrays, whole exome sequencing, and whole genome gene expression arrays in primary head and neck squamous cell carcinoma (HNSCC) tumors and matched uvulopalatopharyngoplasty tissue samples (UPPPs). We uncovered 186 downregulated genes harboring cancer specific promoter methylation including PAX1 and PAX5 and we identified 10 key tumor suppressor genes ( GABRB3, HOXC12, PARP15, SLCO4C1, CDKN2A, PAX1, PIK3AP1, HOXC6, PLCB1, and ZIC4) inactivated by both promoter methylation and/or somatic mutation. Among the novel tumor suppressor genes discovered with dual mechanisms of inactivation, we found a high frequency of genomic and epigenomic alterations in the PAX gene family of transcription factors, which selectively impact canonical NOTCH and TP53 pathways to determine cell fate, cell survival, and genome maintenance. Our results highlight the importance of assessing TSGs at the genomic and epigenomic level to identify key pathways in HNSCC, deregulated by simultaneous promoter methylation and somatic mutations.

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          Most cited references54

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          Identifying ChIP-seq enrichment using MACS.

          Model-based analysis of ChIP-seq (MACS) is a computational algorithm that identifies genome-wide locations of transcription/chromatin factor binding or histone modification from ChIP-seq data. MACS consists of four steps: removing redundant reads, adjusting read position, calculating peak enrichment and estimating the empirical false discovery rate (FDR). In this protocol, we provide a detailed demonstration of how to install MACS and how to use it to analyze three common types of ChIP-seq data sets with different characteristics: the sequence-specific transcription factor FoxA1, the histone modification mark H3K4me3 with sharp enrichment and the H3K36me3 mark with broad enrichment. We also explain how to interpret and visualize the results of MACS analyses. The algorithm requires ∼3 GB of RAM and 1.5 h of computing time to analyze a ChIP-seq data set containing 30 million reads, an estimate that increases with sequence coverage. MACS is open source and is available from http://liulab.dfci.harvard.edu/MACS/.
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            High density DNA methylation array with single CpG site resolution.

            We have developed a new generation of genome-wide DNA methylation BeadChip which allows high-throughput methylation profiling of the human genome. The new high density BeadChip can assay over 480K CpG sites and analyze twelve samples in parallel. The innovative content includes coverage of 99% of RefSeq genes with multiple probes per gene, 96% of CpG islands from the UCSC database, CpG island shores and additional content selected from whole-genome bisulfite sequencing data and input from DNA methylation experts. The well-characterized Infinium® Assay is used for analysis of CpG methylation using bisulfite-converted genomic DNA. We applied this technology to analyze DNA methylation in normal and tumor DNA samples and compared results with whole-genome bisulfite sequencing (WGBS) data obtained for the same samples. Highly comparable DNA methylation profiles were generated by the array and sequencing methods (average R2 of 0.95). The ability to determine genome-wide methylation patterns will rapidly advance methylation research. Copyright © 2011 Elsevier Inc. All rights reserved.
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              Exome sequencing of head and neck squamous cell carcinoma reveals inactivating mutations in NOTCH1.

              Head and neck squamous cell carcinoma (HNSCC) is the sixth most common cancer worldwide. To explore the genetic origins of this cancer, we used whole-exome sequencing and gene copy number analyses to study 32 primary tumors. Tumors from patients with a history of tobacco use had more mutations than did tumors from patients who did not use tobacco, and tumors that were negative for human papillomavirus (HPV) had more mutations than did HPV-positive tumors. Six of the genes that were mutated in multiple tumors were assessed in up to 88 additional HNSCCs. In addition to previously described mutations in TP53, CDKN2A, PIK3CA, and HRAS, we identified mutations in FBXW7 and NOTCH1. Nearly 40% of the 28 mutations identified in NOTCH1 were predicted to truncate the gene product, suggesting that NOTCH1 may function as a tumor suppressor gene rather than an oncogene in this tumor type.
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                Author and article information

                Journal
                Epigenetics
                Epigenetics
                EPI
                Epigenetics
                Landes Bioscience
                1559-2294
                1559-2308
                01 July 2014
                01 May 2014
                01 July 2015
                : 9
                : 7
                : 1031-1046
                Affiliations
                [1 ]Department of Otolaryngology and Head and Neck Surgery; Johns Hopkins University; School of Medicine; Baltimore, MD USA
                [2 ]Department of Obstetrics and Gynecology; University of Puerto Rico School of Medicine; Río Piedras, Puerto Rico
                [3 ]Department of Oncology Biostatistics; Johns Hopkins University; School of Medicine; Baltimore, MD USA
                [4 ]Department of Head and Neck Surgery; University of Texas M.D. Anderson Cancer Center; Houston, TX USA
                [5 ]Sidney Kimmel Comprehensive Cancer Center; Johns Hopkins University; Baltimore, MD USA
                [6 ]Department of Otorhinolaryngology-Head and Neck Surgery; University of Groningen; University Medical Center; Groningen, The Netherlands
                [7 ]Laboratory of Molecular Pathology and Institute of Molecular and Translational Medicine; Faculty of Medicine and Dentistry; Palacky University; Olomouc, Czech Republic
                [8 ]Division of Biostatistics and Bioinformatics; Department of Oncology; Sidney Kimmel Comprehensive Cancer Center; Baltimore, MD USA
                [9 ]Milton J. Dance Head and Neck Center; Greater Baltimore Medical Center; Baltimore, MD USA
                Author notes
                [†]

                These authors contributed equally to this work.

                [* ]Correspondence to: Rafael Guerrero-Preston, Email: rguerre3@ 123456jhmi.edu and David Sidransky, Email: dsidrans@ 123456jhmi.edu
                Article
                2013EPI0488R1 29025
                10.4161/epi.29025
                4143405
                24786473
                daf53e5b-71b5-46de-b0c3-0e54934a790a
                Copyright © 2014 Landes Bioscience

                This is an open-access article licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License. The article may be redistributed, reproduced, and reused for non-commercial purposes, provided the original source is properly cited.

                History
                : 23 December 2013
                : 21 April 2014
                : 25 April 2014
                Categories
                Research Paper

                Genetics
                head and neck squamous cell carcinoma,tumor suppressor genes,dna methylation,somatic mutations,integration analysis

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