Genomics of Drug Sensitivity in Cancer (GDSC): a resource for therapeutic biomarker discovery in cancer cells

被引:2517
|
作者
Yang, Wanjuan [1 ]
Soares, Jorge [1 ]
Greninger, Patricia [2 ]
Edelman, Elena J. [2 ]
Lightfoot, Howard [1 ]
Forbes, Simon [1 ]
Bindal, Nidhi [1 ]
Beare, Dave [1 ]
Smith, James A. [3 ]
Thompson, I. Richard [1 ]
Ramaswamy, Sridhar [2 ]
Futreal, P. Andrew [1 ]
Haber, Daniel A. [2 ,4 ]
Stratton, Michael R. [1 ]
Benes, Cyril [2 ]
McDermott, Ultan [1 ]
Garnett, Mathew J. [1 ]
机构
[1] Wellcome Trust Sanger Inst, Canc Genome Project, Hinxton CB10 1SA, England
[2] Harvard Univ, Massachusetts Gen Hosp, Ctr Mol Therapeut, Canc Ctr,Med Sch, Charlestown, MA 02129 USA
[3] Wellcome Trust Sanger Inst, Core Software Serv, Hinxton CB10 1SA, England
[4] Howard Hughes Med Inst, Chevy Chase, MD 20815 USA
基金
英国惠康基金;
关键词
IDENTIFICATION;
D O I
10.1093/nar/gks1111
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Alterations in cancer genomes strongly influence clinical responses to treatment and in many instances are potent biomarkers for response to drugs. The Genomics of Drug Sensitivity in Cancer (GDSC) database(www.cancerRxgene.org) is the largest public resource for information on drug sensitivity in cancer cells and molecular markers of drug response. Data are freely available without restriction. GDSC currently contains drug sensitivity data for almost 75 000 experiments, describing response to 138 anticancer drugs across almost 700 cancer cell lines. To identify molecular markers of drug response, cell line drug sensitivity data are integrated with large genomic datasets obtained from the Catalogue of Somatic Mutations in Cancer database, including information on somatic mutations in cancer genes, gene amplification and deletion, tissue type and transcriptional data. Analysis of GDSC data is through a web portal focused on identifying molecular biomarkers of drug sensitivity based on queries of specific anticancer drugs or cancer genes. Graphical representations of the data are used throughout with links to related resources and all datasets are fully downloadable. GDSC provides a unique resource incorporating large drug sensitivity and genomic datasets to facilitate the discovery of new therapeutic biomarkers for cancer therapies.
引用
收藏
页码:D955 / D961
页数:7
相关论文
共 50 条
  • [41] Proteomics for cancer biomarker discovery
    Srinivas, PR
    Verma, M
    Zhao, YM
    Srivastava, S
    CLINICAL CHEMISTRY, 2002, 48 (08) : 1160 - 1169
  • [42] Cancer Biomarker Rule Discovery
    AlShamlan, Hala
    Almoajil, Lamia
    AlBabtain, Khawlah
    BinShalaan, Manal
    AlMahmoud, Rand
    AlTuwaijri, Sara
    2018 21ST SAUDI COMPUTER SOCIETY NATIONAL COMPUTER CONFERENCE (NCC), 2018,
  • [43] Cancer biomarker discovery and validation
    Goossens, Nicolas
    Nakagawa, Shigeki
    Sun, Xiaochen
    Hoshida, Yujin
    TRANSLATIONAL CANCER RESEARCH, 2015, 4 (03) : 256 - 269
  • [44] Biomarker Discovery in Penile Cancer
    Kayes, Oliver
    Minhas, Suks
    JOURNAL OF UROLOGY, 2012, 188 (05): : 1660 - 1661
  • [45] Biomarker discovery in urogenital cancer
    Said, J
    BIOMARKERS, 2005, 10 : S83 - S86
  • [46] CANCER BIOMARKER DISCOVERY BY ONCOPROTEOMICS
    Cho, William C. S.
    ANTICANCER RESEARCH, 2008, 28 (5C) : 3241 - 3241
  • [47] Search for Breast Cancer-related Biomarker Proteins for Drug Discovery
    Nagano, Kazuya
    YAKUGAKU ZASSHI-JOURNAL OF THE PHARMACEUTICAL SOCIETY OF JAPAN, 2010, 130 (12): : 1701 - 1706
  • [48] Inhibition of BET bromodomains as a therapeutic strategy for cancer drug discovery
    Fu, Lei-lei
    Tian, Mao
    Li, Xiang
    Li, Jing-jing
    Huang, Jian
    Ouyang, Liang
    Zhang, Yonghui
    Liu, Bo
    ONCOTARGET, 2015, 6 (08) : 5501 - 5516
  • [49] Cancer Genomics: Technology, Discovery, and Translation
    Tran, Ben
    Dancey, Janet E.
    Kamel-Reid, Suzanne
    McPherson, John D.
    Bedard, Philippe L.
    Brown, Andrew M. K.
    Zhang, Tong
    Shaw, Patricia
    Onetto, Nicole
    Stein, Lincoln
    Hudson, Thomas J.
    Neel, Benjamin G.
    Siu, Lillian L.
    JOURNAL OF CLINICAL ONCOLOGY, 2012, 30 (06) : 647 - 660
  • [50] From computational genomics to systems metabolomics for precision cancer medicine and drug discovery
    Alberghina, Lilia
    Piccialli, Gennaro
    PHARMACOLOGICAL RESEARCH, 2020, 151