Evidence map›Paper›PMID 42793200›Full record

ArticleBiomolecules2026

Construction of an Esophageal Cancer Prognostic Model Based on Mitochondrial Energy Metabolism-Related Genes and Mechanism of INHBA in Promoting Malignant Progression via the Smad2/3 Pathway.

Jinping Li, Yi Yao, Huikai Li, Bozong Shao, Enqiang Linghu

Abstract read
In one paragraph

Article in Biomolecules, 2026. 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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2 · The registry

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3 · Its place in the literature

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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

5 authors.

Jinping LiDepartment of Gastroenterology, The First Medical Center of Chinese PLA General Hospital, No.28 Fuxing Road, Beijing 100853, China.
Yi YaoDepartment of Gastroenterology, The First Medical Center of Chinese PLA General Hospital, No.28 Fuxing Road, Beijing 100853, China.ORCID 0009-0006-5491-4096
Huikai LiDepartment of Gastroenterology, The First Medical Center of Chinese PLA General Hospital, No.28 Fuxing Road, Beijing 100853, China.
Bozong ShaoDepartment of Gastroenterology, The First Medical Center of Chinese PLA General Hospital, No.28 Fuxing Road, Beijing 100853, China.
Enqiang LinghuDepartment of Gastroenterology, The First Medical Center of Chinese PLA General Hospital, No.28 Fuxing Road, Beijing 100853, China.

Funding

Beijing Municipal Natural Science Foundation 7234412
6 · The paper itself

Abstract

objectiveEsophageal cancer (ESCA) has poor prognosis and lacks reliable biomarkers. This study aimed to construct a mitochondrial energy metabolism-related prognostic model and identify key regulatory genes.

methodsTCGA-ESCA and GSE53625 data were used as training and validation cohorts, respectively. Mitochondrial energy metabolism scores were calculated by ssGSEA. Differential expression analysis and WGCNA identified key genes, followed by consensus clustering, Cox/LASSO regression, enrichment analysis, immune infiltration, TIDE evaluation, and nomogram development. INHBA knockdown or overexpression was performed in KYSE-150 and TE-1 cells to assess malignant phenotypes, mitochondrial function, EMT markers, and Smad2/3 signaling, with SB431542 used for pathway blockade.

resultsHigh mitochondrial energy metabolism scores predicted poorer overall survival. A total of 124 key genes were identified, and three molecular subtypes were established, with Cluster 2 showing the worst prognosis. A four-gene signature comprising COL11A1, INHBA, TNFAIP6, and POSTN stratified patients into high- and low-risk groups in both cohorts. High-risk tumors were enriched in extracellular matrix remodeling, cell adhesion, inflammatory response, hypoxia, angiogenesis, and PI3K-Akt signaling, whereas oxidative phosphorylation was more active in low-risk tumors. The high-risk group had higher TIDE scores, suggesting poorer immunotherapy response. The nomogram incorporating risk group and M stage showed limited discrimination after bootstrap correction. In vitro, INHBA promoted proliferation, migration, invasion, EMT, mitochondrial membrane potential, ATP production, and oxidative phosphorylation. SB431542 partially reversed these effects.

conclusionsThis MEMRG-based model predicts ESCA prognosis and immune features. INHBA promotes ESCA progression by activating Smad2/3-mediated EMT and mitochondrial metabolic reprogramming, suggesting its potential as a prognostic biomarker and therapeutic target.

Indexed as

Energy MetabolismEsophageal NeoplasmsMitochondriaSmad2 ProteinSmad3 ProteinBiomarkers, TumorCell Line, TumorDisease ProgressionEpithelial-Mesenchymal TransitionGene Expression Regulation, NeoplasticHumansPrognosisSignal TransductionBiomarkers, TumorSmad2 ProteinSMAD2 protein, humanSmad3 ProteinSMAD3 protein, humanepithelial–mesenchymal transitionesophageal cancerINHBAmitochondrial energy metabolismprognostic modelSmad2/3 signaling pathway

Identifiers

PMID42793200
PMCPMC13604558

What Socratic holds

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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.