Genome and transcriptome sequencing of lung cancers reveal diverse mutational and splicing events

  1. Zemin Zhang1,10
  1. 1Department of Bioinformatics and Computational Biology,
  2. 2Department of Molecular Biology,
  3. 3Department of Nonclinical Biostatistics,
  4. 4Department of Discovery Oncology,
  5. 5Department of Development Oncology Diagnostics,
  6. 6Department of Translational Oncology,
  7. 7Department of Pathology, Genentech Inc., South San Francisco, California 94080, USA;
  8. 8Cytogenetics Core, Van Andel Research Institute, Grand Rapids, Michigan 49503, USA;
  9. 9Hamon Center for Therapeutic Oncology Research, UT-Southwestern Medical Center, Dallas, Texas 75390, USA

    Abstract

    Lung cancer is a highly heterogeneous disease in terms of both underlying genetic lesions and response to therapeutic treatments. We performed deep whole-genome sequencing and transcriptome sequencing on 19 lung cancer cell lines and three lung tumor/normal pairs. Overall, our data show that cell line models exhibit similar mutation spectra to human tumor samples. Smoker and never-smoker cancer samples exhibit distinguishable patterns of mutations. A number of epigenetic regulators, including KDM6A, ASH1L, SMARCA4, and ATAD2, are frequently altered by mutations or copy number changes. A systematic survey of splice-site mutations identified 106 splice site mutations associated with cancer specific aberrant splicing, including mutations in several known cancer-related genes. RAC1b, an isoform of the RAC1 GTPase that includes one additional exon, was found to be preferentially up-regulated in lung cancer. We further show that its expression is significantly associated with sensitivity to a MAP2K (MEK) inhibitor PD-0325901. Taken together, these data present a comprehensive genomic landscape of a large number of lung cancer samples and further demonstrate that cancer-specific alternative splicing is a widespread phenomenon that has potential utility as therapeutic biomarkers. The detailed characterizations of the lung cancer cell lines also provide genomic context to the vast amount of experimental data gathered for these lines over the decades, and represent highly valuable resources for cancer biology.

    Footnotes

    • 10 Corresponding author

      E-mail zhang.zemin{at}gene.com

    • [Supplemental material is available for this article.]

    • Article published online before print. Article, supplemental material, and publication date are at http://www.genome.org/cgi/doi/10.1101/gr.140988.112.

      Freely available online through the Genome Research Open Access option.

    • Received March 26, 2012.
    • Accepted September 24, 2012.

    This article is distributed exclusively by Cold Spring Harbor Laboratory Press for the first six months after the full-issue publication date (see http://genome.cshlp.org/site/misc/terms.xhtml). After six months, it is available under a Creative Commons License (Attribution-NonCommercial 3.0 Unported License), as described at http://creativecommons.org/licenses/by-nc/3.0/.

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