ArticleFrontiers in pharmacology2024
Dissecting gastric cancer heterogeneity and exploring therapeutic strategies using bulk and single-cell transcriptomic analysis and experimental validation of tumor microenvironment and metabolic interplay.
Article in Frontiers in pharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Single-Cell Transcriptomic Analysis Identifies an OLFM4-Associated Gastric Cancer Cell State with Palmitoylation-Related Signatures and Altered Metabolic Activities.Biomolecules · 2026Article
- System for study of diverse cellular composition in alveolar rhabdomyosarcoma.Scientific reports · 2026Article
- Cellular Origins and Context-Dependent Prognostic Effects of Lactate Metabolism Genes Reveal Novel Molecular Subtypes in Gastric Cancer.Current issues in molecular biology · 2026Article
- Article
- Dissecting molecular heterogeneity in primary gastric cancer by IGFBP7-related analysis.Journal of translational medicine · 2026Article
- M2-polarized tumor-associated macrophages as key orchestrators of gastric cancer pathogenesis and therapeutic resistance.Discover oncology · 2026Review
- Integrative analysis of immune and microbial subtypes predicts immunotherapy response in stomach adenocarcinoma.Microbiology spectrum · 2026Article
- Article
- Immunotherapy rechallenge in gastric cancer: resistance mechanisms, molecular stratification, and precision decision-making.Frontiers in immunology · 2026Review
- Metabolic reprogramming networks in the gastric cancer tumor microenvironment: an integrated axis of nutrient competition, metabolic crosstalk, and immunosuppression.Frontiers in immunology · 2026Review
- Asiatic acid remodels the gastric precancerous immune microenvironment by targeting STING.Frontiers in immunology · 2026Article
- Molecular and structural reprogramming of gastric cancer revealed by systems-level transcriptomic analysis.PloS one · 2026Article
- Prognostic integration of tumor microenvironment and parthanatos-related genes in gastric cancer: a machine learning-driven risk model and immune landscape profiling.Frontiers in immunology · 2026Article
- Review
- Integrative single-cell and multi-omics analyses reveal ferroptosis-associated gene expression and immune microenvironment heterogeneity in gastric cancer.Discover oncology · 2025Article
- Multiple programmed cell death patterns predict the prognosis and drug sensitivity in gastric cancer.Frontiers in immunology · 2025Article
- A Prognostic Riskscore Model Related toInternational journal of genomics · 2025Article
- Tumor energy metabolism: implications for therapeutic targets.Molecular biomedicine · 2024Review
- Single-cell Atlas reveals core function of CPVL/MSR1 expressing macrophages in the prognosis of triple-negative breast cancer.Frontiers in immunology · 2024Article
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11 authors.
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Abstract
Gastric cancer, the fifth most prevalent cancer worldwide, is often diagnosed in advanced stages with limited treatment options. Examining the tumor microenvironment (TME) and its metabolic reprogramming can provide insights for better diagnosis and treatment. This study investigates the link between TME factors and metabolic activity in gastric cancer using bulk and single-cell RNA-sequencing data. We identified two molecular subtypes in gastric cancer by analyzing the distinct expression patterns of 81 prognostic genes related to the TME and metabolism, which exhibited significant protein-level interactions. The high-risk subtype had increased stromal content, fibroblast and M2 macrophage infiltration, elevated glycosaminoglycans/glycosphingolipids biosynthesis, and fat metabolism, along with advanced clinicopathological features. It also exhibited low mutation rates and microsatellite instability, associating it with the mesenchymal phenotype. In contrast, the low-risk group showed higher tumor content and upregulated protein and sugar metabolism. We identified a 15-gene prognostic signature representing these characteristics, including CPVL, KYNU, CD36, and GPX3, strongly correlated with M2 macrophages, validated through single-cell analysis and an internal cohort. Despite resistance to immunotherapy, the high-risk group showed sensitivity to molecular targeted agents directed at IGF-1R (BMS-754807) and the PI3K-mTOR pathways (AZD8186, AZD8055). We experimentally validated these promising drugs for their inhibitory effects on MKN45 and MKN28 gastric cells. This study unveils the intricate interplay between TME and metabolic pathways in gastric cancer, offering potential for enhanced diagnosis, patient stratification, and personalized treatment. Understanding molecular features in each subtype enriches our comprehension of gastric cancer heterogeneity and potential therapeutic targets.
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