Identification and Validation of a PPP1R12A-Related Five-Gene Signature Associated With Metabolism to Predict the Prognosis of Patients With Prostate Cancer

Abstract

BackgroundProstate 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.MethodsThe 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 set enrichment analysis (GSEA) was used to extract metabolism-related genes. Univariate Cox regression analysis and a random survival forest algorithm were used to confirm optimal genes to build a prognostic risk model.ResultsWe identified a five-gene signature (PPP1R12A, PTGS2, GGCT, AOX1, and NT5E) that was associated with PPP1R12A and metabolism in PCa, which effectively predicted disease-free survival (DFS) and biochemical relapse-free survival (BRFS). Moreover, the signature was validated by two internal datasets from TCGA and one external dataset from the Gene Expression Omnibus (GEO).ConclusionThe five-gene signature is an effective potential factor to predict the prognosis of PCa, classifying PCa patients into high- and low-risk groups, which might provide potential novel treatment strategies for these patients.

A prognostic signature consisting of metabolism-related genes and SLC17A4 serves as a potential biomarker of immunotherapeutic prediction in prostate cancer

“…Interestingly, studies have shown that signature based on MetaGenes are associated with PCa recurrence undergoing radical prostatectomy ( 59 ). Two other researches also revealed that the model established by MetaGenes can predict the prognosis of PCa, which is consistent with our study ( 60 , 61 ). In summary, we conducted an integrated analysis to develop a metabolism-based four-gene signature for predicting the OS and chemo-/immuno-therapy response of PCa patients.…”

Transcriptome Profiling Based at Different Time Points after Hatching Deepened Our Understanding on Larval Growth and Development of Amphioctopus fangsiao

“…Specifically, PPP1CB, predominantly expressed in muscle, promotes muscle tissue growth through its involvement in muscle cell proliferation and differentiation [ 76 , 77 ]. PPP1R12A regulates muscle cell characteristics such as growth, cycle, adhesion, and migration, and has a pivotal role in the control of muscle contraction and relaxation [ 78 , 79 ]. These results propose that PPP1CB and PPP1R12A have instrumental roles during early locomotor system development in A. fangsiao larvae, regulating muscle growth and development from multiple perspectives.…”

An evolutionary timeline of the oxytocin signaling pathway

“…Only three genes out of the 107 genes investigated were found to be under positive selection (Figure3). PPP1R12A, where we identified positive selection signals in the common chimpanzee, is a gene implicated in adhesion, cell migration, and cancer treatment prognosis in humans(Benvenuto et al, 2020; Hughes et al, 2020;Zou et al, 2021). It also seems to interact with OT to enable uterine contraction(Hudson and López Bernal, 2017;Lartey and López Bernal, 2009).…”