Evidence map›Paper›PMID 39150660›Full record

ArticleClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2025

A prognostic model constructed by ferroptosis-associated genes (FAGs) in papillary renal cell carcinoma (PRCC) and its association with tumor mutation burden (TMB) and immune infiltration.

Yong-Bo Chen, Xin Yang, Dong Lv, Liang-You Tang, Ying-Wen Liu

Abstract read
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Article in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Yong-Bo Chen *Department of Urology, People's Hospital of Deyang City, 173#Northern Taishan Road, Deyang, 618000, China.
Xin Yang *Department of Surgery, People's Hospital of Deyang City, 173#Northern Taishan Road, Deyang, 618000, China.
Dong LvDepartment of Urology, People's Hospital of Deyang City, 173#Northern Taishan Road, Deyang, 618000, China.
Liang-You TangDepartment of Urology, People's Hospital of Deyang City, 173#Northern Taishan Road, Deyang, 618000, China.
Ying-Wen LiuDepartment of Laboratory, People's Hospital of Deyang City, 173#Northern Taishan Road, Deyang, 618000, China. ywliu_mail@126.com.ORCID http://orcid.org/0000-0002-4879-8950

Funding

Deyang Science and Technology Bureau, Project name: Exploring the application value of iron death related gene GCLC in renal papillary cell carcinoma Project Number: 2023SZZ015
6 · The paper itself

Abstract

backgroundThis study aimed to identify the prognostic-related differentially expressed ferroptosis-associated genes (DEFAGs) in papillary renal cell carcinoma (PRCC).

methodsData encompassing simple nucleotide variation, transcriptome profiles, and relevant clinical information of PRCC patients were sourced from The Cancer Genome Atlas (TCGA) database. The expression matrix of ferroptosis-associated genes (FAGs) was analyzed using the "limma" package in R to identify differentially expressed DEFAGs. Lasso regression analysis, along with univariate and multivariate Cox proportional hazards regressions, was employed to identify independent prognostic-related DEFAGs and formulate a nomogram. Additionally, we examined potential independent survival-related clinical risk factors and compared immune cell infiltration and tumor mutation burden (TMB) differences between high- and low-risk patient groups.

resultsA cohort of 321 patients were analyzed, revealing twelve FAGs significantly influencing the overall survival (OS) of PRCC patients. Among them, two mRNAs (GCLC, HSBP1) emerged as independent prognostic-related DEFAGs. Smoking status, tumor stage, and risk score were identified as independent clinical risk factors for PRCC. Furthermore, notable disparities in immune cell infiltration and function were observed between high- and low-risk groups. GCLC and HSBP1 were associated with various immune cells and functions, TMB, and immune evasion.

conclusionThis finding revealed two independent prognostic-related DEFAGs in PRCC and established a robust prognostic model, offering potential therapeutic targets and promising insights for the management of this disease.

Indexed as

Carcinoma, Renal CellFerroptosisKidney NeoplasmsMutationAgedBiomarkers, TumorFemaleHumansLymphocytes, Tumor-InfiltratingMaleMiddle AgedNomogramsPrognosisBiomarkers, TumorFAGsImmune cell infiltrationPRCCTMB

Identifiers

PMID39150660
PMCPMC11914245

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