Article Text

Download PDFPDF
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. 1Department of Oncology, Suining Central Hospital, Suining, China
  2. 2Department of Urology, First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
  3. 3Department 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}163.com

Abstract

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.

Statistics from Altmetric.com

Data availability statement

Data are available upon reasonable request.

View Full Text

Footnotes

  • 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.

Request Permissions

If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.