Evidence map›Paper›PMID 41258419›Full record

ArticleScientific reports2025

Explore the key genes and prognosis related to mitochondrial permeability transition driving necrosis gene in kidney renal clear cell carcinoma.

Yikai Wang, Dingyang Lv, Wei Zhang, Weibing Shuang

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

The trial behind it

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Yikai WangDepartment of Urology, The First Hospital of Shanxi Medical University, Taiyuan, China.
Dingyang LvThe First Clinical Medical College, Shanxi Medical University, Taiyuan, China.
Wei ZhangOperating Room Nurse, The First Hospital of Shanxi Medical University, Taiyuan, China.
Weibing ShuangDepartment of Urology, The First Hospital of Shanxi Medical University, Taiyuan, China. shuangweibing@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mitochondrial permeability transition (MPT)-driven necrosis is associated with kidney renal clear cell carcinoma (KIRC), but its role in prognosis remains unclear. This study develops a prognostic model for KIRC outcomes using MPT-driven necrosis-related genes (MPTDNRGs). Differentially expressed genes (DEGs) from TCGA-KIRC samples were analyzed and categorized based on MPTDNRGs scores. Three key genes-IL2RA, CD7, and CXCL13-were identified as significant prognostic markers and used to construct a risk model, validated through public datasets and reverse transcription-quantitative polymerase chain reaction (RT-qPCR). The risk score and age were the independent prognostic factors. A nomogram incorporating these factors demonstrated good clinical utility. The high-risk group was enriched in immune-related pathways, such as systemic lupus erythematosus, while the low-risk group showed enrichment in metabolism-related pathways, including butanoate metabolism. Significant differences in 25 immune cells were observed between the risk groups, with the high-risk group exhibiting higher TIDE scores, suggesting a greater likelihood of immune escape. Additionally, a ceRNA network revealed complex interactions, such as CXCL13-hsa-miR-670-5p-AL121985.1, and predicted 25 transcription factors for key MPTDNRGs. This study presents a novel prognostic model for KIRC based on three MPTDNRGs, offering valuable insights into KIRC prognosis and potential therapeutic targets.

Indexed as

Carcinoma, Renal CellKidney NeoplasmsMitochondriaBiomarkers, TumorFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansMaleMiddle AgedNecrosisNomogramsPrognosisBiomarkers, TumorCompetitive endogenous RNADriven necrosisEnrichment analysisMPTRenal cell carcinoma

Identifiers

PMID41258419
PMCPMC12630615

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.