biostudies-literatureUnknown12Zou ZFundamental Research Funds for the Central UniversitiesNatural Science Foundation of Guangdong Province<h4>Background</h4>Prostate cancer (PCa) is the most common malignant male neoplasm in the American male population. Our prior studies have demonstrated that protein phosphatase 1 regulatory subunit 12A (PPP1R12A) could be an efficient prognostic factor in patients with PCa, promoting further investigation. The present study attempted to construct a gene signature based on PPP1R12A and metabolism-related genes to predict the prognosis of PCa patients.<h4>Methods</h4>The mRNA expression profiles of 499 tumor and 52 normal tissues were extracted from The Cancer Genome Atlas (TCGA) database. We selected differentially expressed PPP1R12A-related genes among these mRNAs. Tandem affinity purification-mass spectrometry was used to identify the proteins that directly interact with PPP1R12A. Gene sFrontiers in genetics703210https://www.ebi.ac.uk/biostudies/studies/S-EPMC8414655biostudies-literatureIdentification and Validation of a PPP1R12A-Related Five-Gene Signature Associated With Metabolism to Predict the Prognosis of Patients With Prostate Cancer.PMC8414655Tang ZCai SZhuo YLiang YZhou RFeng YZhong WLiu RHan ZJiang MZou ZDai QZhang YZhu XLin JfalseIdentification and Validation of a PPP1R12A-Related Five-Gene Signature Associated With Metabolism to Predict the Prognosis of Patients With Prostate Cancer.<h4>Background</h4>Prostate cancer (PCa) is the most common malignant male neoplasm in the American male population. Our prior studies have demonstrated that protein phosphatase 1 regulatory subunit 12A (PPP1R12A) could be an efficient prognostic factor in patients with PCa, promoting further investigation. The present study attempted to construct a gene signature based on PPP1R12A and metabolism-related genes to predict the prognosis of PCa patients.<h4>Methods</h4>The mRNA expression profiles of 499 tumor and 52 normal tissues were extracted from The Cancer Genome Atlas (TCGA) database. We selected differentially expressed PPP1R12A-related genes among these mRNAs. Tandem affinity purification-mass spectrometry was used to identify the proteins that directly interact with PPP1R12A. Gene s2021-01-01T00:00:00Z20212026-04-08T07:30:52.712Z2022-02-11T10:16:37.592ZS-EPMC84146553448429910.3389/fgene.2021.703210