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Using microRNAs as Novel Predictors of Urologic Cancer Survival: An Integrated Analysis

Zhicong Chen1, Yonghao Zhan1, Jieshan Chi2

  • 1Department of Urology, Peking University First Hospital, The Institute of Urology, Peking University, National Urological Cancer Centre, Beijing 100034, China.

Ebiomedicine
|July 25, 2018
PubMed
Abstract

Insights

MicroRNAs (miRNAs) show promise in predicting urologic cancer survival. A panel of miRNAs, rather than individual ones, offers a more reliable method for determining patient prognosis in kidney, bladder, and prostate cancers.

Area of Science:

  • Oncology
  • Genetics
  • Biomarkers

Background:

  • MicroRNAs (miRNAs) play a role in the development, progression, and metastasis of urologic cancers.
  • Evidence suggests miRNAs could serve as novel predictors for urologic cancer patient survival.

Purpose of the Study:

  • To systematically review and evaluate existing evidence on the prognostic value of miRNAs in kidney, bladder, and prostate cancers.
  • To meta-analyze the effects of miRNAs on urologic cancer survival and validate findings using TCGA cohort data.

Main Methods:

  • A systematic review identified studies assessing miRNA prognostic effects in kidney (KCa), bladder (BCa), and prostate cancer (PCa).
  • Meta-analyses were conducted to summarize miRNA effects on urologic cancer survival.
  • Results were validated using integrated analysis of The Cancer Genome Atlas (TCGA) cohort and a miRNA panel.

Main Results:

  • Eighty miRNAs from 151 datasets were analyzed, revealing associations between specific miRNAs and prognosis.
  • miR-21 was identified as an unfavorable prognostic marker for overall survival across various urologic cancers (HR: 2.699).
  • A refined miRNA panel (KCa-6) demonstrated superior predictive capability for overall survival compared to individual miRNAs (HR: 3.214).

Conclusions:

  • A panel of miRNAs may offer a more effective and reliable method for determining urologic cancer prognosis than individual miRNAs.
  • Further large-scale studies are necessary to confirm the unbiased prognostic value of miRNAs in urologic cancers.
Keywords:
Bioinformatics analysisBiomarkerPrognosisUrologic cancermiRNA panelmiRNAs

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