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Survival prediction of gastric cancer by a seven-microRNA signature
  1. Xiaohua Li,
  2. Ying Zhang,
  3. Yafei Zhang,
  4. Jie Ding,
  5. Kaichun Wu,
  6. Daiming Fan
  1. State Key Laboratory of Cancer Biology & Xijing Hospital of Digestive Diseases, The Fourth Military Medical University, Xi'an, China
  1. Correspondence to Prof Daiming Fan, State Key Laboratory of Cancer Biology & Xijing Hospital of Digestive Diseases, The Fourth Military Medical University, 17 Changle Western Road, Xi'an 710032,China; fmmulxh{at}yahoo.com.cn

Abstract

Aims Several microarray studies have reported microRNA (miRNA) expression signatures that classify cancer patients into different prognostic groups. No study has evaluated the association between miRNA expression patterns and gastric cancer prognosis. In this study, we developed a seven-miRNA signature that is closely associated with survival of patients with gastric cancer.

Patients and methods MiRNA expression profile was analysed by real-time RT-PCR in 100 gastric cancer patients, which were randomly assigned to either the training set or the testing set. Cox proportional hazard regression and risk-score analysis were used to identify a stage-independent set of seven-miRNA signature in the training set that could classify patients with significantly different prognosis. This miRNA signature was further validated by the testing set and an independent cohort 60 patients.

Results We have identified a seven-miRNA signature (miR-10b, miR-21, miR-223, miR-338, let-7a, miR-30a-5p, miR-126) for overall survival (p=0.0009) and relapse-free survival (p=0.0005) of gastric cancer patients. Multivariate analysis shown that the risk signature was an independent predictor of overall survival (HR=3.046; 95% CI, 1.246 to 7.445, p=0.015) and relapse-free survival (HR=3.337; 95% CI, 1.298 to 8.580, p=0.012). Furthermore, the predictive value of this seven-miRNA signature was validated in the testing set of 50 patients and an independent set of 60 patients.

Conclusion Our seven-miRNA signature is closely associated with relapse-free and overall survival among patients with gastric cancer. The prognostic signature could be applicable to future decisions concerning treatment.

  • Gastric cancer
  • microRNA
  • prognosis prediction
  • cancer preventation
  • gastrointestinal neoplasia

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Footnotes

  • Competing interests None.

  • Ethics approval This study was conducted with the approval of The protocols used in the study were approved by the Hospital's Protection of Human Subjects Committee.

  • Provenance and peer review Not commissioned; externally peer reviewed.

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