ArticleScientific reports2020
Stromal microenvironment promoted infiltration in esophageal adenocarcinoma and squamous cell carcinoma: a multi-cohort gene-based analysis.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 12 citations in OpenAlex.
- Review
- The biology and therapeutic implications of heterogeneity in Barrett oesophagus and oesophageal adenocarcinoma.Nature reviews. Clinical oncology · 2026Review
- Serum levels of the C-terminal pro-peptide of type V collagen have prognostic potential and are associated with a normal subtype of desmoplasia in a retrospective cohort of patients with esophagogastric cancer.Therapeutic advances in medical oncology · 2026Article
- Interactions between cancer-associated fibroblasts and the extracellular matrix in oesophageal cancer.Matrix biology : journal of the International Society for Matrix Biology · 2025Review
- Exploring Mechanical Features of 3D Head and Neck Cancer Models.Journal of functional biomaterials · 2025Review
- The Novel-B-Cell-Related Gene Signature Predicts the Prognosis and Immune Status of Patients with Esophageal Carcinoma.Journal of gastrointestinal cancer · 2024Article
- The role of the fibroblast in Barrett's esophagus and esophageal adenocarcinoma.Current opinion in gastroenterology · 2024Review
- The Novel Tumor Microenvironment-Related Prognostic Gene AIF1 May Influence Immune Infiltrates and is Correlated with TIGIT in Esophageal Cancer.Annals of surgical oncology · 2022Article
- Review
- XYZeq: Spatially resolved single-cell RNA sequencing reveals expression heterogeneity in the tumor microenvironment.Science advances · 2021Article
- Article
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Authors and funding
11 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The stromal microenvironment has been shown to affect the infiltration of esophageal carcinoma (ESCA), which is linked to prognosis. However, the complicated mechanism of how infiltration is influenced by the stromal microenvironment is not well-defined. In this study, a stromal activation classifier was established with ridge cox regression to calculate stroma scores for training (n = 182) and validation cohorts (n = 227) based on the stroma-related 32 hub genes identified by sequential bioinformatics algorithms. Patients with high stromal activation were associated with high T stage and poor prognosis in both esophagus adenocarcinoma and esophagus squamous cell carcinoma. Besides, comprehensive multi-omics analysis was used to outline stromal characterizations of 2 distinct stromal groups. Patients with activated tumor stoma showed high stromal cell infiltration (fibroblasts, endothelial cells, and monocyte macrophages), epithelial-mesenchymal transition, tumor angiogenesis and M2 macrophage polarization (CD163 and CD206). Tumor mutation burden of differential stromal groups was also depicted. In addition, a total of 6 stromal activation markers in ESCA were defined and involved in the function of carcinoma-associated fibroblasts that were crucial in the differentiation of distinct stromal characterizations. Based on these studies, a practical classifier for the stromal microenvironment was successfully proposed to predict the prognosis of ESCA patients.
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