{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["12"],"submitter":["Zou Z"],"funding":["Fundamental Research Funds for the Central Universities","Natural Science Foundation of Guangdong Province"],"pubmed_abstract":["<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 s"],"journal":["Frontiers in genetics"],"pagination":["703210"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8414655"],"repository":["biostudies-literature"],"pubmed_title":["Identification and Validation of a PPP1R12A-Related Five-Gene Signature Associated With Metabolism to Predict the Prognosis of Patients With Prostate Cancer."],"pmcid":["PMC8414655"],"pubmed_authors":["Tang Z","Cai S","Zhuo Y","Liang Y","Zhou R","Feng Y","Zhong W","Liu R","Han Z","Jiang M","Zou Z","Dai Q","Zhang Y","Zhu X","Lin J"],"additional_accession":[]},"is_claimable":false,"name":"Identification and Validation of a PPP1R12A-Related Five-Gene Signature Associated With Metabolism to Predict the Prognosis of Patients With Prostate Cancer.","description":"<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 s","dates":{"release":"2021-01-01T00:00:00Z","publication":"2021","modification":"2026-04-08T07:30:52.712Z","creation":"2022-02-11T10:16:37.592Z"},"accession":"S-EPMC8414655","cross_references":{"pubmed":["34484299"],"doi":["10.3389/fgene.2021.703210"]}}