Evidence map›Paper›PMID 42212140›Full record

ArticleFrontiers in immunology2026

Integrated single-cell and bulk transcriptomic analyses reveal a stem-like epithelial subpopulation in adenocarcinoma of the esophagogastric junction and identify VASN as a novel regulator of tumor stemness.

Hang Zheng, Shuaibo Wang, Heshu Liu, Jing Wang, Bin Hu

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Article in Frontiers in immunology, 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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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Hang ZhengDepartment of Thoracic Surgery, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
Shuaibo WangDepartment of Thoracic Surgery, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
Heshu LiuCancer Center, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
Jing WangDepartment of Thoracic Surgery, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
Bin HuDepartment of Thoracic Surgery, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cancer stem cells (CSCs) are widely recognized as key contributors to tumorigenesis, progression, therapeutic resistance and immune evasion in adenocarcinoma of esophagogastric junction (AEG). Nevertheless, the stem-like epithelial subpopulations that may contribute to immunological niche formation remain poorly characterized, hindering the identification of effective therapeutic targets. Methods: Owing to their ability to delineate cellular heterogeneity, single-cell RNA sequencing (scRNA-seq) and bulk RNA sequencing (bulk RNA-seq) analyses were employed to characterize the CSCs-like subpopulation in AEG tumor tissues. Utilizing scRNA and bulk transcriptomics cohorts, this study systematically identified the putative CSC-like malignant epithelial subpopulation, and a series of bioinformatics and machine learning as well as Results: Six main cell types were identified in AEG tumors, and six clusters of malignant epithelial cells were filtered out via inferCNV analysis. The cluster 2 (C2) subgroup exhibited pronounced elevation of CytoTRACE, epithelial-mesenchymal transition, Wnt signaling and stem cell differentiation scores, trajectory analysis positioned C2 subgroup at the initiation stage of pseudotime, which comprehensively identified C2 as stem-like neoplastic subpopulation. Through the integration of high dimensional weighted gene co-expression network analysis (hdWGCNA), Branch Expression Analysis Modeling (BEAM) and differentially expressed genes, 21 genes were identified as hub genes of C2 cluster. The CSC-related prognostic model was developed via LASSO Cox regression analysis. Random survival forest further identified VASN as candidate CSCs marker of AEG. Additionally, knock down of VASN in AEG cell line reduced migration and invasion abilities as well as CSCs markers expressions. Mechanistically, Conclusions: Our investigation identified a stem-like epithelial subpopulation and established a stem-related gene signature, offering insights into stemness-associated tumor progression and immunological niche dynamics in AEG. Furthermore, we identified VASN as a putative regulator of malignant stem phenotypes that may influence tumor microenvironment remodeling.

Indexed as

AdenocarcinomaCell Adhesion MoleculesEsophageal NeoplasmsEsophagogastric JunctionMicrofilament ProteinsNeoplastic Stem CellsStomach NeoplasmsBiomarkers, TumorCell Line, TumorEpithelial-Mesenchymal TransitionGene Expression ProfilingGene Expression Regulation, NeoplasticHumansSingle-Cell AnalysisSingle-Cell Gene Expression AnalysisTranscriptomeBiomarkers, TumorCell Adhesion MoleculesMicrofilament Proteinsadenocarcinoma of esophagogastric junctionimmunological nicheprecision oncologytumor stemnessVASN

Identifiers

PMID42212140
PMCPMC13212525

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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.