Evidence map›Paper›PMID 40536795›Full record

ArticleBiomolecules & biomedicine2025

Integrative PANoptosis gene profiling reveals prognostic and therapeutic insights in prostate cancer.

Yi Wang, Yiheng Du, Xizhi Wang, Jiang Yu, Qing Gu, Guangquan Yuan, Yifei Zhu, Liyang Gu, Jun Ouyang

Abstract read
In one paragraph

Article in Biomolecules & biomedicine, 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

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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. Review
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

9 authors.

Yi WangDepartment of Urology, The First Affiliated Hospital of Soochow University, Suzhou, China; Department of Urology, Suzhou Kowloon Hospital, Shanghai Jiao Tong University School of Medicine, Suzhou, China.
Yiheng DuDepartment of Urology, Suzhou Kowloon Hospital, Shanghai Jiao Tong University School of Medicine, Suzhou, China.
Xizhi WangDepartment of Urology, Suzhou Kowloon Hospital, Shanghai Jiao Tong University School of Medicine, Suzhou, China.
Jiang YuDepartment of Urology, Suzhou Kowloon Hospital, Shanghai Jiao Tong University School of Medicine, Suzhou, China.
Qing GuShanghai Jiao Tong University School of Medicine.
Guangquan YuanDepartment of Urology, Suzhou Kowloon Hospital, Shanghai Jiao Tong University School of Medicine, Suzhou, China.
Yifei ZhuDepartment of Urology, Suzhou Kowloon Hospital, Shanghai Jiao Tong University School of Medicine, Suzhou, China.
Liyang GuDepartment of Urology, Suzhou Kowloon Hospital, Shanghai Jiao Tong University School of Medicine, Suzhou, China.
Jun OuyangDepartment of Urology, The First Affiliated Hospital of Soochow University, Suzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prostate cancer (PCa) remains a significant global health challenge, representing the most common solid tumor in men and the fifth leading cause of cancer-related death. Despite therapeutic advances, achieving a definitive cure remains difficult. Early diagnosis and personalized treatment strategies are crucial for improving patient outcomes. Programmed cell death-particularly PANoptosis, an inflammatory pathway that integrates pyroptosis, apoptosis, and necroptosis-has emerged as a promising therapeutic target in oncology. In this study, individuals with PCa were categorized into PANoptosis-high and PANoptosis-low subgroups based on the expression levels of 45 PANoptosis-related genes. Differential gene expression analysis and subsequent enrichment analyses were conducted to explore the biological pathways associated with each subgroup. A four-gene risk signature (CASP7, ADAR, DNM1L, and NAIP) was identified, showing strong predictive value for overall survival (OS) in both training and validation cohorts. This signature was independently associated with OS and showed meaningful correlations with the tumor microenvironment, particularly immune cell infiltration and immunotherapy responsiveness. These findings suggest that the PANoptosis-related gene signature may serve as a valuable prognostic biomarker and inform immunotherapeutic strategies in PCa management.

Identifiers

PMID40536795
PMCPMC13130755

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