Cancer panomics: computational methods and infrastructure for integrative analysis of cancer high-throughput "omics" data: session introduction

Søren Brunak, Francisco M. De La Vega, Gunnar Rätsch, Joshua M. Stuart

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    Abstract

    Targeted cancer treatment is becoming the goal of newly developed oncology medicines and has already shown promise in some spectacular cases such as the case of BRAF kinase inhibitors in BRAF-mutant (e.g. V600E) melanoma. These developments are driven by the advent of high-throughput sequencing, which continues to drop in cost, and that has enabled the sequencing of the genome, transcriptome, and epigenome of the tumors of a large number of cancer patients in order to discover the molecular aberrations that drive the oncogenesis of several types of cancer. Applying these technologies in the clinic promises to transform cancer treatment by identifying therapeutic vulnerabilities of each patient's tumor. These approaches will need to address the panomics of cancer--the integration of the complex combination of patient-specific characteristics that drive the development of each person's tumor and response to therapy. This in turn necessitates new computational methods to integrate large-scale "omics" data for each patient with their electronic medical records, and in the context of the results from large-scale pan-cancer research studies, to select the best therapy and/or clinical trial for the patient at hand.
    Original languageEnglish
    JournalPacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
    Volume19
    Number of pages2
    ISSN2335-6936
    Publication statusPublished - 2014
    EventPacific Symposium on Biocomputing 2014 - Hawaii, United States
    Duration: 3 Jan 20147 Jan 2014
    Conference number: 19
    http://psb.stanford.edu/previous/psb14/

    Conference

    ConferencePacific Symposium on Biocomputing 2014
    Number19
    CountryUnited States
    CityHawaii
    Period03/01/201407/01/2014
    Internet address

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