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
  • [31] Drug sensitivity of cancer stem cells
    De Maria, R.
    EJC SUPPLEMENTS, 2010, 8 (07): : 10 - 10
  • [32] SITC cancer immunotherapy resource document: a compass in the land of biomarker discovery
    Hu-Lieskovan, Siwen
    Bhaumik, Srabani
    Dhodapkar, Kavita
    Grivel, Jean-Charles J. B.
    Gupta, Sumati
    Hanks, Brent A.
    Janetzki, Sylvia
    Kleen, Thomas O.
    Koguchi, Yoshinobu
    Lund, Amanda W.
    Maccalli, Cristina
    Mahnke, Yolanda D.
    Novosiadly, Ruslan D.
    Selvan, Senthamil R.
    Sims, Tasha
    Zhao, Yingdong
    Maecker, Holden T.
    JOURNAL FOR IMMUNOTHERAPY OF CANCER, 2020, 8 (02)
  • [33] Genomics-based anti-cancer drug discovery - Preface
    Devi, GR
    CURRENT PHARMACEUTICAL BIOTECHNOLOGY, 2004, 5 (05)
  • [34] The role of emerging genomics and proteomics technologies in cancer drug target discovery
    Onyango, P
    CURRENT CANCER DRUG TARGETS, 2004, 4 (02) : 111 - 124
  • [35] Clinical proteomics and breast cancer: strategies for diagnostic and therapeutic biomarker discovery
    Bertucci, Francois
    Goncalves, Anthony
    FUTURE ONCOLOGY, 2008, 4 (02) : 271 - 287
  • [36] The NCI Program for natural product discovery: a new resource for cancer drug discovery
    O'keefe, B.
    Thornburg, C.
    Britt, J.
    Evans, J.
    Akee, R.
    Whitt, J.
    Trinh, S.
    Harris, M.
    Thompson, J.
    Ewing, T.
    Shipley, S.
    Grothaus, P.
    Newman, D.
    Schneider, J.
    Grkovic, T.
    EUROPEAN JOURNAL OF CANCER, 2018, 103 : E69 - E69
  • [37] Glioblastoma cancer stem cells: Biomarker and therapeutic advances
    Pointer, Kelli B.
    Clark, Paul A.
    Zorniak, Michael
    Alrfaei, Bahauddeen M.
    Kuo, John S.
    NEUROCHEMISTRY INTERNATIONAL, 2014, 71 : 1 - 7
  • [38] Cancer biomarker discovery is improved by accounting for variability in general levels of drug sensitivity in pre-clinical models
    Geeleher, Paul
    Cox, Nancy J.
    Huang, R. Stephanie
    GENOME BIOLOGY, 2016, 17
  • [39] Cancer biomarker discovery is improved by accounting for variability in general levels of drug sensitivity in pre-clinical models
    Paul Geeleher
    Nancy J. Cox
    R. Stephanie Huang
    Genome Biology, 17
  • [40] Biomarker discovery in ovarian cancer
    Tung, Celestine S.
    Wong, Kwong-Kwok
    Mok, Samuel C.
    WOMENS HEALTH, 2008, 4 (01) : 27 - 40