Evidence map›Paper›PMID 41258557›Full record

ArticleDiscover oncology2025

VDAC1 as prognostic marker and therapeutic target in lung adenocarcinoma: a study integrating bioinformatics and experimental validation.

Lei Cheng, Deping Zhao

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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0citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Lei ChengDepartment of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, No. 507 Zhengmin Road, Shanghai, 200443, China.
Deping ZhaoDepartment of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, No. 507 Zhengmin Road, Shanghai, 200443, China. dpzhao@tongji.edu.cn.

Funding

Shanghai Hospital Development Center SHDC22024308
6 · The paper itself

Abstract

backgroundResearch on the expression and molecular mechanisms of voltage-dependent anion channels (VDACs) in lung adenocarcinoma (LUAD) remains limited. MATERIALS AND

methodsMultiple datasets were utilized to analyze VDACs expression in LUAD and investigate the clinical significance of VDACs-associated genes and signaling pathways. The database analysis results were further validated through cellular and animal experiments.

resultsThe expression levels of VDAC1 and VDAC2 increase with advancing tumor stage. Subsequent survival analysis revealed that elevated mRNA expression of VDAC1 (HR = 1.6, log-rank P = 0.0015), VDAC2 (HR = 1.5, log-rank P = 0.0088), and VDAC3 (HR = 1.7, log-rank P = 0.0026) was significantly associated with shorter overall survival in LUAD patients. The VDACs-based prognostic signature holds significant value for risk stratification, with VDAC1 demonstrating the poorest prognostic impact. We demonstrated that both in vitro and in vivo experiments consistently showed that the combination of trametinib with VBIT-12 markedly suppresses tumor growth.

conclusionThis study integrates bioinformatic insights with experimental validation to clarify the clinical significance and therapeutic potential of VDACs in LUAD, providing a valuable foundation for prognosis assessment and targeted therapy development.

Indexed as

BioinformaticsDiagnosisLung adenocarcinomaPrognosisTargeted therapyVDAC

Identifiers

PMID41258557
PMCPMC12630505

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