Predicting prostate cancer recurrence: Introducing PCRPS, an advanced online web server.

ABSTRACT:

Background

Prostate cancer (PCa) is one of the leading causes of cancer death in men. About 30% of PCa will develop a biochemical recurrence (BCR) following initial treatment, which significantly contributes to prostate cancer-related deaths. In clinical practice, accurate prediction of PCa recurrence is crucial for making informed treatment decisions. However, the development of reliable models and biomarkers for predicting PCa recurrence remains a challenge. In this study, the aim is to establish an effective and reliable tool for predicting the recurrence of PCa.

Methods

We systematically screened and analyzed potential datasets to predict PCa recurrence. Through quality control analysis, low-quality datasets were removed. Using meta-analysis, differential expression anal

SUBMITTER: He X 

PROVIDER: S-EPMC11016622 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature