Evidence map›Paper›PMID 39377410›Full record

ArticleCurrent medicinal chemistry2025

Development of a Mitochondrial Membrane Permeability Transition Prognosis System in Colon Adenocarcinoma: Risk Stratification and Therapeutic Target Identification.

Bomiao Zhang, Mingyu Xia, Shihui Zhao, Yien Li, Chenfeng Yu, Liqiang Song, Shaoke Wang, Binbin Cui

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Article in Current medicinal chemistry, 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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5 · Who and what money

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8 authors.

Bomiao ZhangDepartment of Colorectal Surgery, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, China.
Mingyu XiaDepartment of Colorectal Surgery, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, China.
Shihui ZhaoDepartment of Colorectal Surgery, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, China.
Yien LiDepartment of Colorectal Surgery, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, China.
Chenfeng YuDepartment of Colorectal Surgery, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, China.
Liqiang SongDepartment of Colorectal Surgery, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, China.
Shaoke WangDepartment of Colorectal Surgery, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, China.
Binbin CuiDepartment of Colorectal Surgery, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, China.

Funding

Nn10 Program of Harbin Medical University Cancer Hospital, China Nn102017-02
6 · The paper itself

Abstract

aimsExplore the role of mitochondrial membrane permeability transition (MPT) in colon adenocarcinoma (COAD).

backgroundFurther exploration of risk stratification for COAD prognostic assessment has important clinical value. MPT-related pathways play a key role in the pathogenesis of many human diseases, including tumorigenesis. Its impact on COAD is still unknown.

objectiveBioinformatics analysis was conducted by analyzing the GEO database and TCGA database, and the bioinformatics results were verified by

methodsThrough the analysis of the transcriptome data of 1008 COAD samples in the GEO database and TCGA database, the differential expressions of MPT-related genes in COAD were explored, followed by molecular subtype analysis based on MPT characteristics by univariate Cox algorithm analysis and the consensus clustering algorithm. The gene signature associated with MPT molecular subtypes was further identified and the MPT scoring system was established by the LASSO-univariate Cox analysis algorithm. After evaluating the prognostic value of the MPT scoring system in COAD patients via nomogram establishment, the clinical value of the MPT scoring system was comprehensively analyzed through somatic mutation characteristics analysis, immunotherapy response analysis, immunoinfiltration analysis, and drug sensitivity analysis. CCK-8, WB, PCR, colony formation method, and Transwell method were used to verify the effect of the screened target on the proliferation and invasion of COAD cells.

resultsWe successfully established a scoring system related to MPT and validated the prognostic value of COAD patients. The potential clinical value of the MPT scoring system was also analyzed. VSIG4 was selected for further in vitro experiments to verify the effect of the screened targets on the proliferation and invasion ability of COAD cells.

conclusionWe established an MPT scoring system for effective risk stratification of COAD patients, demonstrating the impact of MPT on the development of COAD and its potential value as an intervention factor.

Indexed as

AdenocarcinomaColonic NeoplasmsMitochondrial MembranesCell ProliferationHumansPrognosiscolon adenocarcinomaimmune infiltrationMitochondrial membrane permeability transitionprognosis.risk stratificationVSIG4

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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.