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Down-regulation of miR-219-5p increase the risk of cancer-related mortality in patients with prostate cancer
  1. Shimin Tang1,
  2. Hao Jiang2,
  3. Zhijun Cao2,3,
  4. Qiang Zhou1
  1. 1 Department of Oncology, Suining Central Hospital, Suining, China
  2. 2 Department of Urology, First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
  3. 3 Department of Urology, The Ninth People’s Hospital of Suzhou, Suzhou, China
  1. Correspondence to Qiang Zhou, Department of Oncology, Suining Central Hospital, Suining, China; dr_zhouqiang{at}


Introduction Prostate cancer is a common malignancy in men that is difficult to treat and carries a high risk of death. miR-219-5p is expressed in reduced amounts in many malignancies. However, the prognostic value of miR-219-5p for patients with prostate cancer remains unclear.

Methods We retrospectively analysed data from 213 prostate cancer patients from 10 June 2012 to 9 May 2015. Overall survival was assessed by Kaplan-Meier analysis and Cox regression models. Besides, a prediction model was constructed, and calibration curves evaluated the model’s accuracy.

Results Of the 213 patients, a total of 72 (33.8%) died and the median survival time was 60.0 months. We found by multifactorial analysis that miR-219-5p deficiency increased the risk of death by nearly fourfold (HR: 3.86, 95% CI): 2.01 to 7.44, p<0.001) and the risk of progression by twofold (HR: 2.79, 95% CI: 1.68 to 4.64, p<0.001). To quantify each covariate’s weight on prognosis, we screened variables by cox model to construct a predictive model. The Nomogram showed excellent accuracy in estimating death’s risk, with a corrected C-index of 0.778.

Conclusions miR-219-5p can be used as a biomarker to predict death risk in prostate cancer patients. The mortality risk prediction model constructed based on miR-219-5p has good consistency and validity in assessing patient prognosis.

  • prostate disease

Data availability statement

Data are available upon reasonable request.

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Data availability statement

Data are available upon reasonable request.

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  • ST, HJ and ZC are joint first authors.

  • Contributors ST designed and performed research studies, collected and analysed the data and wrote the manuscript. HJ and ZC ordered and analysed the data. QZ contributed to the research design, data analysis, writing the document and supervision of the study.

  • Funding This work was supported by the Department of Oncology, Suining Central Hospital.

  • Competing interests None declared.

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

  • Supplemental material This content has been supplied by the author(s). It has not been vetted by BMJ Publishing Group Limited (BMJ) and may not have been peer-reviewed. Any opinions or recommendations discussed are solely those of the author(s) and are not endorsed by BMJ. BMJ disclaims all liability and responsibility arising from any reliance placed on the content. Where the content includes any translated material, BMJ does not warrant the accuracy and reliability of the translations (including but not limited to local regulations, clinical guidelines, terminology, drug names and drug dosages), and is not responsible for any error and/or omissions arising from translation and adaptation or otherwise.