Evidence map›Paper›PMID 40776742›Full record

ReviewInternational journal of oncology2025

Cuproptosis in prostate cancer: Molecular mechanisms, prognostic biomarkers and therapeutic frontiers of cuproptosis‑related genes (Review).

Zhugang Long, Yue Chang, Kun Zhu, Zhengyang Chen, Yaodong You

Abstract readReview
In one paragraph

Review in International journal of oncology, 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. 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

5 authors.

Zhugang Long *Department of Urology/Andrology, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 610072, P.R. China.
Yue Chang *School of Clinical Medicine, Chengdu University of TCM, Chengdu, Sichuan 610075, P.R. China.
Kun ZhuSchool of Clinical Medicine, Chengdu University of TCM, Chengdu, Sichuan 610075, P.R. China.
Zhengyang ChenSchool of Clinical Medicine, Chengdu University of TCM, Chengdu, Sichuan 610075, P.R. China.
Yaodong YouDepartment of Urology/Andrology, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 610072, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prostate cancer (PCa) is among the most prevalent malignancies in males globally and management remains complex. In recent years, cuproptosis, an emerging form of cell death, has offered novel insights for PCa treatment. Cuproptosis refers to a copper‑mediated cellular death mechanism that is intricately associated with mitochondrial metabolism, with cuproptosis‑related genes (CRGs) exerting a notable effect on both cuproptosis and PCa. CRGs and other cuproptosis‑associated indicators have demonstrated efficacy as prognostic predictors of PCa and these predictors may exhibit potential as novel therapeutic targets in the treatment of PCa. The mechanisms underlying cuproptosis in PCa remain to be fully elucidated; thus, further research is required to validate the expression patterns of CRGs and their associated indicators and examine the potential association with the characteristics, treatment responses and prognoses of patients with PCa. The present study aimed to investigate novel therapeutic strategies that may enhance the prognosis and quality of life of patients with PCa.

Indexed as

Biomarkers, TumorCopperProstatic NeoplasmsGene Expression Regulation, NeoplasticHumansMaleMitochondriaPrognosisBiomarkers, TumorCoppercell deathcopper metabolismcuproptosiscuproptosis‑related genesprostate cancer

Identifiers

PMID40776742
PMCPMC12331299

What OpenQuestion holds

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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.