Evidence map›Paper›PMID 34418989›Full record

ArticleBMC cancer2021

A novel survival model based on a Ferroptosis-related gene signature for predicting overall survival in bladder cancer.

Yingchun Liang, Fangdie Ye, Chenyang Xu, Lujia Zou, Yun Hu, Jimeng Hu, Haowen Jiang

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
10.9field-weighted citation impact, top 1% of its field
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

36 citing papers in PubMed, 75 citations in OpenAlex.

  1. Review
  2. The promising arsenal of ferroptosis inducers in bladder cancer.Journal of molecular medicine (Berlin, Germany) · 2025
    Review
  3. Article
  4. Article
  5. Article
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  12. Molecular mechanisms of ferroptosis and its effects on bladder cancer.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2024
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Classification of bladder cancer based on immune cell infiltration and construction of a risk prediction model for prognosis.Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2023
    Article
  18. mNAR cancer · 2023
    Article
  19. Article
  20. Construction of a prediction model for prognosis of bladder cancer based on the expression of ion channel-related genes.Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2023
    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

7 authors at 2 institutions in 1 country.

Yingchun Liang *Departments of Urology, Huashan Hospital, Fudan University, No. 12 WuLuMuQi Middle Road, Shanghai, 200040, China.
Fangdie Ye *Departments of Urology, Huashan Hospital, Fudan University, No. 12 WuLuMuQi Middle Road, Shanghai, 200040, China.
Chenyang XuDepartments of Urology, Huashan Hospital, Fudan University, No. 12 WuLuMuQi Middle Road, Shanghai, 200040, China.
Lujia ZouDepartments of Urology, Huashan Hospital, Fudan University, No. 12 WuLuMuQi Middle Road, Shanghai, 200040, China.
Yun HuDepartments of Urology, Huashan Hospital, Fudan University, No. 12 WuLuMuQi Middle Road, Shanghai, 200040, China.
Jimeng HuDepartments of Urology, Huashan Hospital, Fudan University, No. 12 WuLuMuQi Middle Road, Shanghai, 200040, China. jmhu14@fudan.edu.cn.
Haowen JiangDepartments of Urology, Huashan Hospital, Fudan University, No. 12 WuLuMuQi Middle Road, Shanghai, 200040, China. haowj_sh@fudan.edu.cn.
Huashan Hospital · CNFudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe effective treatment and prognosis prediction of bladder cancer (BLCA) remains a medical problem. Ferroptosis is an iron-dependent form of programmed cell death. Ferroptosis is closely related to tumour occurrence and progression, but the prognostic value of ferroptosis-related genes (FRGs) in BLCA remains to be further clarified. In this study, we identified an FRG signature with potential prognostic value for patients with BLCA.

methodsThe corresponding clinical data and mRNA expression profiles of BLCA patients were downloaded from The Cancer Genome Atlas (TCGA). Univariate Cox regression was used to extract FRGs related to survival time, and a Cox regression model was used to construct a multigene signature. Both principal component analysis (PCA) and single-sample gene set enrichment analysis (ssGSEA) were performed for functional annotation.

resultsClinical traits were combined with FRGs, and 15 prognosis-related FRGs were identified by Cox regression. High expression of CISD1, GCLM, CRYAB, SLC7A11, TFRC, ACACA, ZEB1, SQLE, FADS2, ABCC1, G6PD and PGD was related to poor survival in BLCA patients. Multivariate Cox regression was used to construct a prognostic model with 7 FRGs that divided patients into two risk groups. Compared with that in the low-risk group, the overall survival (OS) of patients in the high-risk group was significantly lower (P < 0.001). In multivariate regression analysis, the risk score was shown to be an independent predictor of OS (HR = 1.772, P < 0.01). Receiver operating characteristic (ROC) curve analysis verified the predictive ability of the model. In addition, the two risk groups displayed different immune statuses in ssGSEA and different distributed patterns in PCA.

conclusionOur research suggests that a new gene model related to ferroptosis can be applied for the prognosis prediction of BLCA. Targeting FRGs may be a treatment option for BLCA.

Indexed as

FerroptosisNomogramsBiomarkers, TumorFollow-Up StudiesGene Expression ProfilingHumansPrognosisRetrospective StudiesRisk FactorsROC CurveSurvival RateUrinary Bladder NeoplasmsBiomarkers, TumorBladder cancerFerroptosisGene signaturePrognostic modelThe Cancer genome atlas (TCGA)

Identifiers

PMID34418989
PMCPMC8380338
OpenAlexW3196136696

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.