ArticleGenome biology2022
Parallel single-cell and bulk transcriptome analyses reveal key features of the gastric tumor microenvironment.
Article in Genome biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 95 papers.
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Who cites it
95 citing papers in PubMed.
- Multifaceted roles of chemokines in gastric cancer: From tumor microenvironment modulation to therapeutic targeting (Review).Oncology letters · 2026Review
- Intratumoral microbiota in cancer immunotherapy: metabolic-epigenetic crosstalk and engineered bacterial therapeutics.Experimental hematology & oncology · 2026Review
- Peripheral Lymphocyte Subsets Predict Efficacy and Overall Survival in Gastric Cancer Patients Receiving Preoperative Chemotherapy: A Retrospective Cohort Study.Cancer reports (Hoboken, N.J.) · 2026Article
- Targeting the YAP-BST2 Axis Overcomes Intrinsic Anti-PD-1 Resistance in Metastatic Gastric Cancer.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Intratumoral PD-1Medical oncology (Northwood, London, England) · 2026Article
- Helicobacter pylori triggers gastric mucosal remodeling toward a fetal-like transcriptional program via stromal IL-1β signaling.Nature communications · 2026Article
- Epigallocatechin gallate is associated with PDGFRB downregulation and altered PI3K-AKT signaling in gastric cancer.Translational cancer research · 2026Article
- Mesenchymal R-spondin 3 promotes an immunogenic tumor microenvironment with adaptive immune resistance in human gastric adenocarcinoma.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2026Article
- Review
- Construction of lactate-myeloid-related prognostic risk model and prediction of immune-excluded microenvironment in gastric cancer via integrated scRNA-Seq and bulk RNA-Seq.Translational cancer research · 2026Article
- Article
- A stromal-derived five-gene signature predicts gastric cancer recurrence through integrated bioinformatics and single-cell analysis.Translational cancer research · 2026Article
- Integrating MRI radiomics and transcriptomics to predict IDH mutation status and prognosis in glioma.Cancer cell international · 2026Article
- Multi-Omics and Single-Cell Mendelian Randomization Reveal a Potential Role ofWorld journal of oncology · 2026Article
- Novel syngeneic model of anti-mouse CLDN18.2 CAR -T therapy for gastric cancer demonstrates a synergy with TGF-β and PD-L1 inhibitors.Molecular therapy. Oncology · 2026Article
- Spatially defined danger zone shapes gastric cancer progression through CCDC80Apoptosis : an international journal on programmed cell death · 2026Article
- Cross-cohort multi-omics analysis identifies novel clusters driven by epithelial-mesenchymal transition signatures in gastric cancer.Cancer cell international · 2026Article
- A pan-cancer single-cell transcriptomic atlas of human bone metastases.Cell reports. Medicine · 2026Article
- Tumor microenvironment dynamics in gastric cancer pathogenesis and therapeutic resistance.Molecular cancer · 2026Review
- Single-Nucleus Multi-Omics Reveals Hypoxia-Driven Angiogenic Programs and Their Epigenetic Control in Sinonasal Squamous Cell Carcinoma.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
35 more citing papers are in PubMed but not listed here.
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15 authors.
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Abstract
backgroundThe tumor microenvironment (TME) has been shown to strongly influence treatment outcome for cancer patients in various indications and to influence the overall survival. However, the cells forming the TME in gastric cancer have not been extensively characterized.
resultsWe combine bulk and single-cell RNA sequencing from tumors and matched normal tissue of 24 treatment-naïve GC patients to better understand which cell types and transcriptional programs are associated with malignant transformation of the stomach. Clustering 96,623 cells of non-epithelial origin reveals 81 well-defined TME cell types. We find that activated fibroblasts and endothelial cells are most prominently overrepresented in tumors. Intercellular network reconstruction and survival analysis of an independent cohort imply the importance of these cell types together with immunosuppressive myeloid cell subsets and regulatory T cells in establishing an immunosuppressive microenvironment that correlates with worsened prognosis and lack of response in anti-PD1-treated patients. In contrast, we find a subset of IFNγ activated T cells and HLA-II expressing macrophages that are linked to treatment response and increased overall survival.
conclusionsOur gastric cancer single-cell TME compendium together with the matched bulk transcriptome data provides a unique resource for the identification of new potential biomarkers for patient stratification. This study helps further to elucidate the mechanism of gastric cancer and provides insights for therapy.
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