Analysis of Matched Tumor and Normal Profiles Reveals Common Transcriptional and Epigenetic Signals Shared across Cancer Types

被引:33
|
作者
Gross, Andrew M. [1 ]
Kreisberg, Jason F. [2 ]
Ideker, Trey [1 ,2 ]
机构
[1] Univ Calif San Diego, Bioinformat & Syst Biol Program, La Jolla, CA 92093 USA
[2] Univ Calif San Diego, Dept Med, La Jolla, CA 92093 USA
来源
PLOS ONE | 2015年 / 10卷 / 11期
关键词
CELL-PROLIFERATION; GENE-EXPRESSION; SYSTEM; LANDSCAPE; PATHWAYS;
D O I
10.1371/journal.pone.0142618
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
To identify the transcriptional regulatory changes that are most widespread in solid tumors, we performed a pan-cancer analysis using over 600 pairs of tumors and adjacent normal tissues profiled in The Cancer Genome Atlas (TCGA). Frequency of upregulation was calculated across mRNA expression levels, microRNA expression levels and CpG methylation sites and is provided here as a resource. Frequent tumor-associated alterations were identified using a simple statistical approach. Many of the identified changes were consistent with the increased rate of cell division in cancer, such as the overexpression of cell cycle genes and hypermethylation of PRC2 binding sites. However, we also identified proliferation-independent alterations, which highlight novel pathways essential to tumor formation. Nearly all of the GABA receptors are frequently downregulated, with the gene encoding the delta subunit (GABRD) strongly upregulated as the notable exception. Metabolic genes are also frequently downregulated, particularly alcohol dehydrogenases and others consistent with the decreased role of oxidative phosphorylation in cancerous cells. Alterations in the composition of GABA receptors and metabolism may play a key role in the differentiation of cancer cells, independent of proliferation.
引用
收藏
页数:14
相关论文
共 50 条
  • [41] Microarray analysis reveals distinct gene expression profiles among different histologic types of endometrial cancer
    Risinger, JI
    Maxwell, GL
    Chandramouli, GVR
    Jazaeri, A
    Aprelikova, O
    Patterson, T
    Berchuck, A
    Barrett, JC
    CANCER RESEARCH, 2003, 63 (01) : 6 - 11
  • [42] Carboxypeptidase E down-regulation regulates transcriptional and epigenetic profiles in pancreatic cancer cell line: A network analysis
    Bai, Zhile
    Feng, Mengyu
    Du, Yang
    Cong, Lin
    Cheng, Yong
    CANCER BIOMARKERS, 2020, 29 (01) : 79 - 88
  • [43] The p53 transcriptional response across tumor types reveals core and senescence-specific signatures modulated by long noncoding RNAs
    Tesfaye, Ephrath
    Martinez-Terroba, Elena
    Bendor, Jordan
    Winkler, Lauren
    Olivero, Christiane
    Chen, Kevin
    Feldser, David M.
    Zamudio, Jesse R.
    Dimitrova, Nadya
    PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2021, 118 (31)
  • [44] Comparative analysis of primary tumour and matched metastases in colorectal cancer patients: Evaluation of concordance between genomic and transcriptional profiles
    Vignot, Stephane
    Lefebvre, Celine
    Frampton, Garrett M.
    Meurice, Guillaume
    Yelensky, Roman
    Palmer, Gary
    Capron, Frederique
    Lazar, Vladimir
    Hannoun, Laurent
    Miller, Vincent A.
    Andre, Fabrice
    Stephens, Philip J.
    Soria, Jean-Charles
    Spano, Jean-Philippe
    EUROPEAN JOURNAL OF CANCER, 2015, 51 (07) : 791 - 799
  • [45] Integrated analysis of quantitative proteome and transcriptional profiles reveals abnormal gene expression and signal pathway in bladder cancer
    Songbai Liao
    Minglin Ou
    Liusheng Lai
    Hua Lin
    Yaoshuang Zou
    Yonggang Yu
    Xuede Li
    Yong Dai
    Weiguo Sui
    Genes & Genomics, 2019, 41 : 1493 - 1503
  • [46] Analysis of somatic mutations across the kinome reveals loss-of-function mutations in multiple cancer types
    Kumar, Runjun D.
    Bose, Ron
    SCIENTIFIC REPORTS, 2017, 7
  • [47] Integrated analysis of quantitative proteome and transcriptional profiles reveals abnormal gene expression and signal pathway in bladder cancer
    Liao, Songbai
    Ou, Minglin
    Lai, Liusheng
    Lin, Hua
    Zou, Yaoshuang
    Yu, Yonggang
    Li, Xuede
    Dai, Yong
    Sui, Weiguo
    GENES & GENOMICS, 2019, 41 (12) : 1493 - 1503
  • [48] Analysis of somatic mutations across the kinome reveals loss-of-function mutations in multiple cancer types
    Runjun D. Kumar
    Ron Bose
    Scientific Reports, 7
  • [49] Comparing cancer vs normal gene expression profiles identifies new disease entities and common transcriptional programs in AML patients
    Rapin, Nicolas
    Bagger, Frederik Otzen
    Jendholm, Johan
    Mora-Jensen, Helena
    Krogh, Anders
    Kohlmann, Alexander
    Thiede, Christian
    Borregaard, Niels
    Bullinger, Lars
    Winther, Ole
    Theilgaard-Monch, Kim
    Porse, Bo T.
    BLOOD, 2014, 123 (06) : 894 - 904
  • [50] Breakpoint Analysis of Transcriptional and Genomic Profiles Uncovers Novel Gene Fusions Spanning Multiple Human Cancer Types
    Giacomini, Craig P.
    Sun, Steven
    Varma, Sushama
    Shain, A. Hunter
    Giacomini, Marilyn M.
    Balagtas, Jay
    Sweeney, Robert T.
    Lai, Everett
    Del Vecchio, Catherine A.
    Forster, Andrew D.
    Clarke, Nicole
    Montgomery, Kelli D.
    Zhu, Shirley
    Wong, Albert J.
    van de Rijn, Matt
    West, Robert B.
    Pollack, Jonathan R.
    PLOS GENETICS, 2013, 9 (04):