Evidence map›Paper›PMID 40594293›Full record

ArticleScientific reports2025

Multidimensional pan-cancer analysis reveals the impact of PPIA on tumor epigenetic modifications and immune regulation.

Yuanqian Yao, Xueqing Gong, Hui Li

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Yuanqian YaoHospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610072, China.ORCID http://orcid.org/0000-0002-8175-0772
Xueqing GongHospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610072, China.ORCID http://orcid.org/0009-0003-1268-4374
Hui LiHospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610072, China. lihui@cdutcm.edu.cn.ORCID https://orcid.org/0000-0002-5919-1396

Funding

National Natural Science Foundation of China 82274323Science and Technology Department of Sichuan Province 2024YFFK0150
6 · The paper itself

Abstract

Peptidylprolyl isomerase A (PPIA) is a key molecule involved in various biological functions and has been implicated in multiple diseases. However, the biological significance of PPIA in pan-cancer remains unclear. We assessed the pan-cancer expression, prognostic value, and biological functions of PPIA through multiple databases and multidimensional analysis. We also investigated the correlation of PPIA with the immune microenvironment, epigenetic modifications, and drug sensitivity. Expression validation was performed using Western Blot (WB) and quantitative PCR (qPCR). PPIA was found to be highly expressed in most cancers and identified as a prognostic risk factor. The expression of PPIA in most cancers showed significant correlations with immune cell infiltration, major histocompatibility complex, immune checkpoints, tumor mutation burden, microsatellite instability, RNA modifications (including m1A, m5C, m6A), and DNA methylation sites. It was widely enriched in pathways such as Neuroactive ligand-receptor interaction, Calcium signaling pathway, and cAMP signaling pathway in the pan-cancer context. PPIA plays a pro-tumor role in various cancers and could serve as a potential biomarker for predicting cancer prognosis and the efficacy of immunotherapy.

Indexed as

Epigenesis, GeneticNeoplasmsBiomarkers, TumorDNA MethylationGene Expression Regulation, NeoplasticHumansPrognosisTumor MicroenvironmentBiomarkers, TumorBioinformaticsBiomarkerPan-cancerPeptidyl-prolyl cis-trans isomerase A (PPIA)

Identifiers

PMID40594293
PMCPMC12219773

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.