Evidence map›Paper›PMID 40517334›Full record

ArticleDiscover oncology2025

Identification of CWH43 as a novel prognostic biomarker and therapeutic target in clear cell renal cell carcinoma by a multi-omics approach and correlation with autophagy progression.

Ailian Wu, Peng Bai, Hui Qu, Tao Zhang

Abstract read
In one paragraph

Article in Discover oncology, 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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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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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

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No citing paper in PubMed yet.

4 · The record

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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.

Ailian Wu *School of Medicine, Yangzhou Polytechnic College, Yangzhou, China.
Peng Bai *Department of Ultrasonography, Ya'an People's Hospital, Yaan, 625000, China.
Hui QuDepartment of Radiology, Xichong People's Hospital, Nanchong, 637200, China. 13518292979@163.com.
Tao ZhangDepartment of Urology, Shandong Provincial Hospital Affliated to ShandongFirst Medical University, Jinan, 250021, China. chris2111@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundClear cell renal cell carcinoma (ccRCC) poses significant challenges due to its asymptomatic nature and poor prognosis at advanced stages. Identifying novel biomarkers is essential for enhancing prognostic accuracy and therapeutic strategies. This study explores the CWH43 gene, utilizing multi-omics data to determine its role in ccRCC.

methodsGenomic, transcriptomic, and methylation data from TCGA-KIRC and GEO databases were analyzed to evaluate CWH43 expression and clinical impact. Bioinformatics tools assessed correlations with patient outcomes and pathway involvement.

resultsCWH43 expression was significantly reduced in ccRCC tissues and correlated with advanced disease stages and poor patient survival. Enrichment analyses revealed CWH43's involvement in critical cancer pathways, such as autophagy and immune response modulation, suggesting its significant role in ccRCC pathophysiology. Lower CWH43 levels were associated with increased tumor progression and immune evasion, impacting the tumor microenvironment.

conclusionThis study highlights the utility of multi-omics data in identifying CWH43 as a novel prognostic biomarker for ccRCC. Integrating CWH43 into clinical practice could refine prognostic assessments and guide personalized therapy strategies, aligning with advancements in modern oncology. Further research is warranted to explore CWH43's mechanisms and therapeutic potential.

Indexed as

Cancer immunologyCcRCCCWH43Immunotherapy response biomarkersNext-generation sequencing technologiesTherapeutic targets in immunotherapyTumor-immune interactionsTumor microenvironment

Identifiers

PMID40517334
PMCPMC12167738

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.