BMC Cancer (Jul 2012)

Beyond <it>KRAS</it> mutation status: influence of <it>KRAS</it> copy number status and microRNAs on clinical outcome to cetuximab in metastatic colorectal cancer patients

  • Mekenkamp Leonie JM,
  • Tol Jolien,
  • Dijkstra Jeroen R,
  • de Krijger Inge,
  • Vink-Börger M,
  • van Vliet Shannon,
  • Teerenstra Steven,
  • Kamping Eveline,
  • Verwiel Eugène,
  • Koopman Miriam,
  • Meijer Gerrit A,
  • van Krieken J Han JM,
  • Kuiper Roland,
  • Punt Cornelis JA,
  • Nagtegaal Iris D

DOI
https://doi.org/10.1186/1471-2407-12-292
Journal volume & issue
Vol. 12, no. 1
p. 292

Abstract

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Abstract Background KRAS mutation is a negative predictive factor for treatment with anti-epidermal growth factor receptor (EGFR) antibodies in metastatic colorectal cancer (mCRC). Novel predictive markers are required to further improve the selection of patients for this treatment. We assessed the influence of modification of KRAS by gene copy number aberration (CNA) and microRNAs (miRNAs) in correlation to clinical outcome in mCRC patients treated with cetuximab in combination with chemotherapy and bevacizumab. Methods Formalin-fixed paraffin-embedded primary tumour tissue was used from 34 mCRC patients in a phase III trial, who were selected based upon their good (n = 17) or poor (n = 17) progression-free survival (PFS) upon treatment with cetuximab in combination with capecitabine, oxaliplatin, and bevacizumab. Gene copy number at the KRAS locus was assessed using high resolution genome-wide array CGH and the expression levels of 17 miRNAs targeting KRAS were determined by real-time PCR. Results Copy number loss of the KRAS locus was observed in the tumour of 5 patients who were all good responders including patients with a KRAS mutation. Copy number gains in two wild-type KRAS tumours were associated with a poor PFS. In KRAS mutated tumours increased miR-200b and decreased miR-143 expression were associated with a good PFS. In wild-type KRAS patients, miRNA expression did not correlate with PFS in a multivariate model. Conclusions Our results indicate that the assessment of KRAS CNA and miRNAs targeting KRAS might further optimize the selection of mCRC eligible for anti-EGFR therapy.