Evidence map›Paper›PMID 35360452›Full record

ArticleFrontiers in oncology2021

Functions, Roles, and Biological Processes of Ferroptosis-Related Genes in Renal Cancer: A Pan-Renal Cancer Analysis.

Linbao Chen, Chao Wang, Yuning Wang, Tianyu Hong, Guangwen Zhang, Xingang Cui

Open access · goldAbstract 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 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

10 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
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  3. Upregulation ofTranslational andrology and urology · 2026
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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

6 authors at 5 institutions in 1 country.

Linbao ChenDepartment of Urinary Surgery, The Second Affiliated Hospital of Ningxia Medical University (The First People's Hospital of Yinchuan), Yinchuan, China.
Chao WangDepartment of Urinary Surgery, Gongli Hospital, Second Military Medical University (Naval Medical University), Shanghai, China.
Yuning WangDepartment of Urinary Surgery, Gongli Hospital, Second Military Medical University (Naval Medical University), Shanghai, China.
Tianyu HongDepartment of Urinary Surgery, Gongli Hospital, Second Military Medical University (Naval Medical University), Shanghai, China.
Guangwen ZhangDepartment of Urinary Surgery, The Second Affiliated Hospital of Ningxia Medical University (The First People's Hospital of Yinchuan), Yinchuan, China.
Xingang CuiDepartment of Urinary Surgery, Gongli Hospital, Second Military Medical University (Naval Medical University), Shanghai, China.
Second Military Medical University · CNNanjing Medical University · CNNingxia Medical University · CNXinHua Hospital · CNYinchuan First People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ferroptosis is a cell death process discovered in recent years, highly related to cancer, acute kidney injury, and other diseases. In this study, a pan-renal cancer analysis of ferroptosis-associated genes in renal cancer was performed to construct a multigene joint signature for predicting prognosis in renal cancer patients. First, gene expression profiles were downloaded from the TCGA and GTEx databases to search for genes significantly associated with renal cancer prognosis through differential gene expression analysis, weighted gene co-expression network analysis (WGCNA), and survival analysis. Thereafter, the gene-set enrichment analysis (GSEA) was used to identify the biological processes in which ferroptosis-associated genes might be involved. Weighted gene co-expression network analysis resulted in 4,434 differentially expressed genes (DEGs) and 42 co-expression modules, among which ferroptosis-related genes were distributed in 11 gene modules. The survival analysis screening resulted in three DEGs associated with renal cancer prognosis, namely SLC7A11, HMOX1, and MT1G. Specifically, SLC7A11 and HMOX1 were upregulated in renal cancer tissues, while MT1G was downregulated. Receiver operating characteristic (ROC) curves, combined with Kaplan-Meier and Cox regression analysis, revealed that high expression of SLC7A11 was a prognostic risk factor for four different renal cancers, that low expression of HMOX1 was a poor prognostic marker for patients, and that increased expression of MT1G increased the prognostic risk for three additional classes of renal cancer patients, except for renal papillary cell carcinoma. The GSEA results showed that the ferroptosis-related genes from these screens were mainly associated with signaling pathways related to tumor progression and tumor immunity. This study provides potential biological markers for prognosis prediction in renal cancer patients with different subtypes, and these results imply that ferroptosis is highly associated with renal carcinogenesis progression.

Indexed as

bioinformatics analysisferroptosiskidney cancerpan-renal cancer analysisweighted gene co-expression network analysis

Identifiers

PMID35360452
PMCPMC8962645
OpenAlexW4221097445

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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.