Evidence map›Paper›PMID 42774112›Full record

ArticleFrontiers in oncology2026

PPIB and its role in prostate cancer: associations with transcriptomic and splicing alterations.

Shuangyu Ma, Aikeshanjiang Ailiyaer, Huixiang Chen, Yishen Mao, Mulati Rexaiti, Abdureheman Zebibula

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Article in Frontiers in oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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6 authors.

Shuangyu MaDepartment of Urology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Aikeshanjiang AiliyaerDepartment of Urology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Huixiang ChenDepartment of Urology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Yishen MaoDepartment of Urology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Mulati RexaitiDepartment of Urology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Abdureheman ZebibulaDepartment of Urology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: While peptidyl-prolyl cis-trans isomerase B (PPIB) has been implicated in tumorigenesis and RNA metabolism, its specific function in prostate cancer is poorly understood. Methods: PPIB expression was assessed in clinical prostate adenocarcinoma samples and the TCGA-PRAD cohort. In PC-3 cells, stable PPIB knockdown was achieved via lentiviral shRNA. Subsequent Results: TCGA-PRAD analysis showed significantly higher PPIB mRNA expression in tumors. In the paired IHC cohort, an exploratory ROI-level comparison showed higher PPIB H-scores in tumor regions than in adjacent non-tumor regions (P < 0.05). Because multiple ROIs were obtained from the same patients, patient-level inference was based on ROI-averaged paired values; the mean tumor H-score was higher, but the paired difference was not statistically significant. PPIB knockdown inhibited cell proliferation, migration, invasion, and xenograft tumor growth. A modest increase in apoptotic cells was observed after PPIB depletion. Transcriptomic analysis revealed 570 differentially expressed genes and 873 altered splicing events, with enriched pathways involving DNA repair, the cell cycle, and amino acid metabolism. Integrating DEG and ASE data identified 22 overlapping genes, including the metabolic regulators PHGDH and SHMT2. Re-expression of shRNA-resistant PPIB significantly reversed the reductions in migration and invasion caused by PPIB knockdown. Conclusions: PPIB promotes prostate cancer progression and is associated with broad transcriptional and alternative splicing alterations. These results indicate a role for PPIB in prostate cancer progression and establish a foundation for investigating its post-transcriptional functions.

Indexed as

alternative splicingPPIBprostate cancerRNA-Seqtranscriptomics

Identifiers

PMID42774112
PMCPMC13593429

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