Evidence map›Paper›PMID 34557413›Full record

ArticleFrontiers in oncology2021

Identification of a Novel Ferroptosis-Related Gene Prognostic Signature in Bladder Cancer.

Jiale Sun, Wenchang Yue, Jiawei You, Xuedong Wei, Yuhua Huang, Zhixin Ling, Jianquan Hou

Abstract read
In one paragraph

Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

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3 · Its place in the literature

Who cites it

30 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Jiale SunDepartment of Urology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Wenchang YueDepartment of Urology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Jiawei YouDepartment of Urology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Xuedong WeiDepartment of Urology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Yuhua HuangDepartment of Urology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Zhixin LingDepartment of Urology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Jianquan HouDepartment 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

backgroundFerroptosis is a newly found non-apoptotic forms of cell death that plays an important role in tumors. However, the prognostic value of ferroptosis-related genes (FRG) in bladder cancer (BLCA) have not been well examined.

methodsFRG data and clinical information were collected from The Cancer Genome Atlas (TCGA). Then, significantly different FRGs were investigated by functional enrichment analyses. The prognostic FRG signature was identified by univariate cox regression and least absolute shrinkage and selection operator (LASSO) analysis, which was validated in TCGA cohort and Gene Expression Omnibus (GEO) cohort. Subsequently, the nomogram integrating risk scores and clinical parameters were established and evaluated. Additionally, Gene Set Enrichment Analyses (GSEA) was performed to explore the potential molecular mechanisms underlying our prognostic FRG signature. Finally, the expression of three key FRGs was verified in clinical specimens.

resultsThirty-two significantly different FRGs were identified from TCGA-BLCA cohort. Enrichment analyses showed that these genes were mainly related to the ferroptosis. Seven genes (TFRC, G6PD, SLC38A1, ZEB1, SCD, SRC, and PRDX6) were then identified to develop a prognostic signature. The Kaplan-Meier analysis confirmed the predictive value of the signature for overall survival (OS) in both TCGA and GEO cohort. A nomogram integrating age and risk scores was established and demonstrated high predictive accuracy, which was validated through calibration curves and receiver operating characteristic (ROC) curve [area under the curve (AUC) = 0.690]. GSEA showed that molecular alteration in the high- or low-risk group was closely associated with ferroptosis. Finally, experimental results confirmed the expression of SCD, SRC, and PRDX6 in BLCA.

conclusionHerein, we identified a novel FRG prognostic signature that maybe involved in BLCA. It showed high values in predicting OS, and targeting these FRGs may be an alternative for BLCA treatment. Further experimental studies are warranted to uncover the mechanisms that these FRGs mediate BLCA progression.

Indexed as

bioinformatics analysisbladder cancerferroptosisgene signaturetumor tissue microarray

Identifiers

PMID34557413
PMCPMC8455063

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