Evidence map›Paper›PMID 39331243›Full record

ArticleDiscover oncology2024

Identification of key ferroptosis genes and subtypes in kidney renal clear cell carcinoma.

Biao Wang, Zhuo Wei, Man Xu, Hui Shu, Zheqi Fan

Abstract read
In one paragraph

Article in Discover oncology, 2024. 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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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

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

5 authors.

Biao WangDepartment of Urology, The Central Hospital of Xiaogan, Xiaogan, 432000, Hubei, China.
Zhuo WeiDepartment of Urology, The Central Hospital of Xiaogan, Xiaogan, 432000, Hubei, China.
Man XuAffiliated Eye Hospital of Nanchang University, Nanchang, 330000, Jiangxi, China.
Hui ShuDepartment of Urology, The Central Hospital of Xiaogan, Xiaogan, 432000, Hubei, China. 1354792868@qq.com.
Zheqi FanDepartment of Urology, The Central Hospital of Xiaogan, Xiaogan, 432000, Hubei, China. 38532857@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumour immunity is highly important for the occurrence and development of tumours, and many cancers are resistant to ferroptosis. This study aims to explore the relationship between ferroptosis-related genes (FRGs) and the immunological characteristics of kidney renal clear cell carcinoma (KIRC). We obtained RNA-seq profiles and clinical data of KIRC patients from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases and identified CD44 and GLRX5 as the key FRGs involved in KIRC immune infiltration through Spearman's correlation analysis. Based on the expression of CD44 and GLRX5, the consensus clustering algorithm was used to classify the TCGA-KIRC samples into two clusters. A nomogram was constructed to evaluate the prognosis of KIRC patients. ESTIMATE, CIBERSORT, and single-sample gene set enrichment analysis (ssGSEA) were performed to evaluate immune infiltration between the two clusters. A weighted gene co-expression network analysis (WGCNA) was used to identify the most relevant genes to the clusters and immunity. Then, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed. The external dataset GSE53757 was used to validate the immunological features between the two clusters. Cluster 2 patients had more active immune infiltration and might be more sensitive to immunotherapy; Cluster 2 patients also had a worse prognosis and might be at a more advanced stage of KIRC. We identified key ferroptosis-related genes and subgroups involved in the immune infiltration of KIRC, which is highly important for exploring the molecular mechanisms and treatments of KIRC.

Indexed as

CD44FerroptosisGLRX5Immune infiltrationKidney renal clear cell carcinoma

Identifiers

PMID39331243
PMCPMC11436560

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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.