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The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity

Author

Listed:
  • Jordi Barretina

    (The Broad Institute of Harvard and MIT
    Dana-Farber Cancer Institute, Harvard Medical School
    Center for Cancer Genome Discovery, Dana-Farber Cancer Institute, Harvard Medical School
    Present addresses: Novartis Institutes for Biomedical Research, Cambridge, Massachusetts 02139, USA (J.B.); Sage Bionetworks, 1100 Fairview Ave. N., Seattle, Washington 98109, USA (A.A.M.); Department of Pathology, Memorial Sloan-Kettering Cancer Center, New York, New York 10065, USA (M.F.B.).)

  • Giordano Caponigro

    (Novartis Institutes for Biomedical Research)

  • Nicolas Stransky

    (The Broad Institute of Harvard and MIT)

  • Kavitha Venkatesan

    (Novartis Institutes for Biomedical Research)

  • Adam A. Margolin

    (The Broad Institute of Harvard and MIT
    Present addresses: Novartis Institutes for Biomedical Research, Cambridge, Massachusetts 02139, USA (J.B.); Sage Bionetworks, 1100 Fairview Ave. N., Seattle, Washington 98109, USA (A.A.M.); Department of Pathology, Memorial Sloan-Kettering Cancer Center, New York, New York 10065, USA (M.F.B.).)

  • Sungjoon Kim

    (Genomics Institute of the Novartis Research Foundation)

  • Christopher J. Wilson

    (Novartis Institutes for Biomedical Research)

  • Joseph Lehár

    (Novartis Institutes for Biomedical Research)

  • Gregory V. Kryukov

    (The Broad Institute of Harvard and MIT)

  • Dmitriy Sonkin

    (Novartis Institutes for Biomedical Research)

  • Anupama Reddy

    (Novartis Institutes for Biomedical Research)

  • Manway Liu

    (Novartis Institutes for Biomedical Research)

  • Lauren Murray

    (The Broad Institute of Harvard and MIT)

  • Michael F. Berger

    (The Broad Institute of Harvard and MIT
    Present addresses: Novartis Institutes for Biomedical Research, Cambridge, Massachusetts 02139, USA (J.B.); Sage Bionetworks, 1100 Fairview Ave. N., Seattle, Washington 98109, USA (A.A.M.); Department of Pathology, Memorial Sloan-Kettering Cancer Center, New York, New York 10065, USA (M.F.B.).)

  • John E. Monahan

    (Novartis Institutes for Biomedical Research)

  • Paula Morais

    (The Broad Institute of Harvard and MIT)

  • Jodi Meltzer

    (Novartis Institutes for Biomedical Research)

  • Adam Korejwa

    (The Broad Institute of Harvard and MIT)

  • Judit Jané-Valbuena

    (The Broad Institute of Harvard and MIT
    Dana-Farber Cancer Institute, Harvard Medical School)

  • Felipa A. Mapa

    (Novartis Institutes for Biomedical Research)

  • Joseph Thibault

    (Genomics Institute of the Novartis Research Foundation)

  • Eva Bric-Furlong

    (Novartis Institutes for Biomedical Research)

  • Pichai Raman

    (Novartis Institutes for Biomedical Research)

  • Aaron Shipway

    (Genomics Institute of the Novartis Research Foundation)

  • Ingo H. Engels

    (Genomics Institute of the Novartis Research Foundation)

  • Jill Cheng

    (Novartis Institutes for Biomedical Research)

  • Guoying K. Yu

    (Novartis Institutes for Biomedical Research)

  • Jianjun Yu

    (Novartis Institutes for Biomedical Research)

  • Peter Aspesi

    (Novartis Institutes for Biomedical Research)

  • Melanie de Silva

    (Novartis Institutes for Biomedical Research)

  • Kalpana Jagtap

    (Novartis Institutes for Biomedical Research)

  • Michael D. Jones

    (Novartis Institutes for Biomedical Research)

  • Li Wang

    (Novartis Institutes for Biomedical Research)

  • Charles Hatton

    (Center for Cancer Genome Discovery, Dana-Farber Cancer Institute, Harvard Medical School)

  • Emanuele Palescandolo

    (Center for Cancer Genome Discovery, Dana-Farber Cancer Institute, Harvard Medical School)

  • Supriya Gupta

    (The Broad Institute of Harvard and MIT)

  • Scott Mahan

    (The Broad Institute of Harvard and MIT)

  • Carrie Sougnez

    (The Broad Institute of Harvard and MIT)

  • Robert C. Onofrio

    (The Broad Institute of Harvard and MIT)

  • Ted Liefeld

    (The Broad Institute of Harvard and MIT)

  • Laura MacConaill

    (Center for Cancer Genome Discovery, Dana-Farber Cancer Institute, Harvard Medical School)

  • Wendy Winckler

    (The Broad Institute of Harvard and MIT)

  • Michael Reich

    (The Broad Institute of Harvard and MIT)

  • Nanxin Li

    (Genomics Institute of the Novartis Research Foundation)

  • Jill P. Mesirov

    (The Broad Institute of Harvard and MIT)

  • Stacey B. Gabriel

    (The Broad Institute of Harvard and MIT)

  • Gad Getz

    (The Broad Institute of Harvard and MIT)

  • Kristin Ardlie

    (The Broad Institute of Harvard and MIT)

  • Vivien Chan

    (Novartis Institutes for Biomedical Research)

  • Vic E. Myer

    (Novartis Institutes for Biomedical Research)

  • Barbara L. Weber

    (Novartis Institutes for Biomedical Research)

  • Jeff Porter

    (Novartis Institutes for Biomedical Research)

  • Markus Warmuth

    (Novartis Institutes for Biomedical Research)

  • Peter Finan

    (Novartis Institutes for Biomedical Research)

  • Jennifer L. Harris

    (Genomics Institute of the Novartis Research Foundation)

  • Matthew Meyerson

    (The Broad Institute of Harvard and MIT
    Dana-Farber Cancer Institute, Harvard Medical School
    Center for Cancer Genome Discovery, Dana-Farber Cancer Institute, Harvard Medical School)

  • Todd R. Golub

    (The Broad Institute of Harvard and MIT
    Center for Cancer Genome Discovery, Dana-Farber Cancer Institute, Harvard Medical School
    Dana-Farber Cancer Institute
    Howard Hughes Medical Institute)

  • Michael P. Morrissey

    (Novartis Institutes for Biomedical Research)

  • William R. Sellers

    (Novartis Institutes for Biomedical Research)

  • Robert Schlegel

    (Novartis Institutes for Biomedical Research)

  • Levi A. Garraway

    (The Broad Institute of Harvard and MIT
    Dana-Farber Cancer Institute, Harvard Medical School
    Center for Cancer Genome Discovery, Dana-Farber Cancer Institute, Harvard Medical School)

Abstract

The Cancer Cell Line Encyclopedia presents the first results from a large-scale screen of some 947 cancer cell lines with 24 anticancer drugs, with the aim of identifying specific genomic alterations and gene expression profiles associated with selective sensitivity or resistance to potential therapeutic agents.

Suggested Citation

  • Jordi Barretina & Giordano Caponigro & Nicolas Stransky & Kavitha Venkatesan & Adam A. Margolin & Sungjoon Kim & Christopher J. Wilson & Joseph Lehár & Gregory V. Kryukov & Dmitriy Sonkin & Anupama Re, 2012. "The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity," Nature, Nature, vol. 483(7391), pages 603-607, March.
    • Handle: RePEc:nat:nature:v:483:y:2012:i:7391:d:10.1038_nature11003
    DOI: 10.1038/nature11003
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