Evidence map›Paper›PMID 40097551›Full record

ArticleScientific reports2025

Comprehensive analysis of RNA methylation-related genes to identify molecular cluster for predicting prognosis and immune profiles in bladder cancer.

Bo Li, Junlin Gan, Tinghao Li, Junrui Chen, Youlin Kuang, Jie Li, Hubin Yin

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

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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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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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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

7 authors.

Bo Li *Department of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Junlin Gan *Department of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Tinghao LiDepartment of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Junrui ChenDepartment of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Youlin KuangDepartment of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Jie LiDepartment of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China. Beatwind@163.com.
Hubin YinDepartment of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China. 204625@hospital.cqmu.edu.cn.

Funding

Chongqing Young and Middle-aged High-end Medical Talents Project Fund 2023GDRC013Innovative Program for Doctoral Students of the First Affiliated Hospital of Chongqing Medical University CYYY-BSYJSCXXM-202328National Natural Science Foundation of China 82303655the China Postdoctoral Science Foundation 2023M740452the Chongqing Municipal Science and Technology Commission Doctoral Through Train Project CSTB2022BSXM-JCX0037the First Clinical College of Clinical Medicine First-class Discipline Construction Program 472020320230017
6 · The paper itself

Abstract

m6A, m5C and m7G are common types of RNA methylation modifications that are widely involved in key mechanisms regulating malignancy. However, the role of RNA methylation-related genes in the immune microenvironment of bladder cancer (BLCA) remains elusive. In this study, we established RNA methylation molecular subtypes by analyzing the TCGA and GEO datasets. Risk model and nomogram were constructed by LASSO and multivariate Cox regression analysis and validated by external datasets. Genetic variations, functional enrichment analysis and immune cell infiltration were analyzed. The expression levels of hub genes were detected by real-time polymerase chain reaction (qRT-PCR) and immunohistochemistry (IHC). The effect of FN1 on cellular function was determined using experimental assays. Finally, we identified a 7-gene signature associated with BLCA prognosis. GSE19423 validated the predictive value of the risk model. The IMvigor210 data showed the model had promising predictive efficacy for BLCA immunotherapy. Significant differences in biological function, immune cell infiltration and drug sensitivity were observed between high- and low-risk groups. Furthermore, FN1 was upregulated in BLCA, as determined by qRT-PCR and IHC. Depletion of FN1 using siRNA impaired cell motility in T24 and 5637 cells. In conclusion, RNA methylation-related risk model can predict the prognosis, immune landscape and response to immunotherapy in BLCA. Among the 7-gene signature, FN1 is a pivotal gene that promotes the migration of bladder cancer cells.

Indexed as

Urinary Bladder NeoplasmsBiomarkers, TumorCell Line, TumorCell MovementFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMaleMethylationNomogramsPrognosisRNA MethylationTumor MicroenvironmentBiomarkers, TumorBladder cancerImmunotherapyMigrationPrognosisRNA methylation

Identifiers

PMID40097551
PMCPMC11914693

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