Evidence map›Paper›PMID 40630215›Full record

ArticleFrontiers in oncology2025

CHMP6 as a novel prognostic biomarker in bladder cancer: insights from a comprehensive cell death-related gene risk model.

Wei Ning, Yan-Ru Yang, Chen-Xu Wu, Yue Hou, Zhi-Wei Liu, Chang-Bin Yang

Abstract read
In one paragraph

Article in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Wei Ning *Medical Innovation Center, Air Force Medical University, Xi'an, China.
Yan-Ru Yang *Department of Pathology, the First Affiliated Hospital of Air Force Medical University, Xi'an, China.
Chen-Xu WuSchool of Life Information Science and Technology, ShanghaiTech University, Shanghai, China.
Yue HouMedical Innovation Center, Air Force Medical University, Xi'an, China.
Zhi-Wei LiuMedical Innovation Center, Air Force Medical University, Xi'an, China.
Chang-Bin YangMedical Innovation Center, Air Force Medical University, Xi'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Bladder cancer (BLCA) is a prevalent and aggressive disease characterized by substantial molecular heterogeneity, complicating its diagnosis and treatment. Existing therapies, including surgery and chemotherapy, often lack specificity. Alterations in cell death mechanisms, such as ferroptosis, cuproptosis, and immunogenic cell death, significantly impact cancer progression and prognosis. Methods: We analyzed gene expression data from TCGA and GEO. Cox regression analyses generated a prognostic risk score model incorporating LIPT1, ACSL5, and CHMP6. This model successfully stratified BLCA patients into different risk categories and was validated through survival analysis, immune infiltration, mutation burden assessment, drug sensitivity predictions, and single-cell analysis. The high-risk group was linked to differentiation processes, developmental stages, and active metabolic pathways. Results: Experimental validation highlighted CHMP6's role in enhancing BLCA cell survival and migration by regulating the cell cycle. The model's prognostic relevance was further supported by drug sensitivity and immune metrics. These results provide valuable insights into potential biomarkers and therapeutic targets for BLCA treatment. Discussion: The CHMP6 protein promotes BLCA cell survival and invasive migration through modulation of the cell cycle.

Indexed as

BLCACDRICHMP6ferroptosisICD

Identifiers

PMID40630215
PMCPMC12234533

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.