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Recurrence of Early Stage Colon Cancer Predicted by Expression Pattern of Circulating microRNAs

Author

Listed:
  • Narayan Shivapurkar
  • Louis M Weiner
  • John L Marshall
  • Subha Madhavan
  • Anne Deslattes Mays
  • Hartmut Juhl
  • Anton Wellstein

Abstract

Systemic treatment of patients with early-stage cancers attempts to eradicate occult metastatic disease to prevent recurrence and increased morbidity. However, prediction of recurrence from an analysis of the primary tumor is limited because disseminated cancer cells only represent a small subset of the primary lesion. Here we analyze the expression of circulating microRNAs (miRs) in serum obtained pre-surgically from patients with early stage colorectal cancers. Groups of five patients with and without disease recurrence were used to identify an informative panel of circulating miRs using quantitative PCR of genome-wide miR expression as well as a set of published candidate miRs. A panel of six informative miRs (miR-15a, mir-103, miR-148a, miR-320a, miR-451, miR-596) was derived from this analysis and evaluated in a separate validation set of thirty patients. Hierarchical clustering of the expression levels of these six circulating miRs and Kaplan-Meier analysis showed that the risk of disease recurrence of early stage colon cancer can be predicted by this panel of miRs that are measurable in the circulation at the time of diagnosis (P = 0.0026; Hazard Ratio 5.4; 95% CI of 1.9 to 15).

Suggested Citation

  • Narayan Shivapurkar & Louis M Weiner & John L Marshall & Subha Madhavan & Anne Deslattes Mays & Hartmut Juhl & Anton Wellstein, 2014. "Recurrence of Early Stage Colon Cancer Predicted by Expression Pattern of Circulating microRNAs," PLOS ONE, Public Library of Science, vol. 9(1), pages 1-6, January.
    • Handle: RePEc:plo:pone00:0084686
    DOI: 10.1371/journal.pone.0084686
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    1. Fabricio F Costa & Jared M Bischof & Elio F Vanin & Rishi R Lulla & Min Wang & Simone T Sredni & Veena Rajaram & Maria de Fátima Bonaldo & Deli Wang & Stewart Goldman & Tadanori Tomita & Marcelo B Soa, 2011. "Identification of MicroRNAs as Potential Prognostic Markers in Ependymoma," PLOS ONE, Public Library of Science, vol. 6(10), pages 1-10, October.
    2. George Poste, 2011. "Bring on the biomarkers," Nature, Nature, vol. 469(7329), pages 156-157, January.
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