International Journal of Molecular Sciences (Apr 2016)

Prognostic Value of MicroRNAs in Preoperative Treated Rectal Cancer

  • Azadeh Azizian,
  • Ingo Epping,
  • Frank Kramer,
  • Peter Jo,
  • Markus Bernhardt,
  • Julia Kitz,
  • Gabriela Salinas,
  • Hendrik A. Wolff,
  • Marian Grade,
  • Tim Beißbarth,
  • B. Michael Ghadimi,
  • Jochen Gaedcke

DOI
https://doi.org/10.3390/ijms17040568
Journal volume & issue
Vol. 17, no. 4
p. 568

Abstract

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Background: Patients with locally advanced rectal cancer are treated with preoperative chemoradiotherapy followed by surgical resection. Despite similar clinical parameters (uT2-3, uN+) and standard therapy, patients’ prognoses differ widely. A possible prediction of prognosis through microRNAs as biomarkers out of treatment-naïve biopsies would allow individualized therapy options. Methods: Microarray analysis of 45 microdissected preoperative biopsies from patients with rectal cancer was performed to identify potential microRNAs to predict overall survival, disease-free survival, cancer-specific survival, distant-metastasis-free survival, tumor regression grade, or nodal stage. Quantitative real-time polymerase chain reaction (qPCR) was performed on an independent set of 147 rectal cancer patients to validate relevant miRNAs. Results: In the microarray screen, 14 microRNAs were significantly correlated to overall survival. Five microRNAs were included from previous work. Finally, 19 miRNAs were evaluated by qPCR. miR-515-5p, miR-573, miR-579 and miR-802 demonstrated significant correlation with overall survival and cancer-specific survival (p < 0.05). miR-573 was also significantly correlated with the tumor regression grade after preoperative chemoradiotherapy. miR-133b showed a significant correlation with distant-metastasis-free survival. miR-146b expression levels showed a significant correlation with nodal stage. Conclusion: Specific microRNAs can be used as biomarkers to predict prognosis of patients with rectal cancer and possibly stratify patients’ therapy if validated in a prospective study.

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