4.6 Article

Integrated Analysis of Transcriptomes of Cancer Cell Lines and Patient Samples Reveals STK11/LKB1-Driven Regulation of cAMP Phosphodiesterase-4D

Journal

MOLECULAR CANCER THERAPEUTICS
Volume 13, Issue 10, Pages 2463-2473

Publisher

AMER ASSOC CANCER RESEARCH
DOI: 10.1158/1535-7163.MCT-14-0297

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Funding

  1. National Research Foundation of Korea (KRF)
  2. Bio and Medical Technology Development Program [NRF-2012M3A9B6055398]
  3. National Leading Research Lab (NLRL) program - Korea government (MEST) [NRF-2011-0028816]
  4. GlaxoSmithKline

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The recent proliferation of data on large collections of well-characterized cancer cell lines linked to therapeutic drug responses has made it possible to identify lineage- and mutation-specific transcriptional markers that can help optimize implementation of anticancer agents. Here, we leverage these resources to systematically investigate the presence of mutation-specific transcription markers in a wide variety of cancer lineages and genotypes. Sensitivity and specificity of potential transcriptional biomarkers were simultaneously analyzed in 19 cell lineages grouped into 228 categories based on the mutational genotypes of 12 cancer-related genes. Among a total of 1,455 category-specific expression patterns, the expression of cAMP phosphodiesterase-4D (PDE4D) with 11 isoforms, one of the PDE4(A-D) subfamilies, was predicted to be regulated by a mutant form of serine/threonine kinase 11 (STK11)/liver kinase B1 (LKB1) present in lung cancer. STK11/LKB1 is the primary upstream kinase of adenine monophosphate-activated protein kinase (AMPK). Subsequently, we found that the knockdown of PDE4D gene expression inhibited proliferation of STK11-mutated lung cancer lines. Furthermore, challenge with a panel of PDE4-specific inhibitors was shown to selectively reduce the growth of STK11-mutated lung cancer lines. Thus, we show that multidimensional analysis of a well-characterized large-scale panel of cancer cell lines provides unprecedented opportunities for the identification of unexpected oncogenic mechanisms and mutation-specific drug targets. (C)2014 AACR.

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