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Therapeutic Targeting of Oxidative Phosphorylation in Microsatellite Instability-High Gastric Cancer
Bing Ang1, Yi Bai2, Xiyue Deng3
1Department of Medical Oncology, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, China.
Background:
Gastric cancer is the third leading cause of cancer-related mortality worldwide. According to The Cancer Genome Atlas (TCGA), it can be classified into four molecular subtypes, including microsatellite instability (MSI) and genomically stable (GS) subtypes, which display distinct clinical and pathological features. However, differences in their tumor microenvironment, particularly metabolic reprogramming, remain poorly understood.
Methods:
Single-cell RNA sequencing data from gastric cancer patients classified as GS or MSI were enrolled. Cell clusters were identified and annotated to compare cellular landscapes between subtypes. Differential gene expression and pathway analyses were performed among malignant epithelial cells. Key genes related to oxidative phosphorylation were identified using LASSO regression, and their expression was further validated in the TCGA dataset. Patient-derived xenograft models were used to compare tumor growth rates, ATP levels, and expression of oxidative phosphorylation -related genes.
Results:
Single-cell transcriptomic analysis revealed eight major cell types in MSI tumors. Compared to the GS subtype, MSI samples showed significantly greater infiltration of T cells and a lower proportion of epithelial cells. Malignant cells from MSI samples exhibited increased activity of oxidative phosphorylation pathways. LASSO regression identified five oxidative phosphorylation-related genes that were consistently overexpressed in MSI tumors in both single-cell and TCGA datasets. In Patient-derived xenograft models, MSI tumors grew more rapidly and demonstrated higher ATP levels and elevated expression of the five oxidative phosphorylation-related genes compared to MSS tumors.
Conclusion:
Our study reveals enhanced oxidative phosphorylation metabolism in MSI gastric cancer at single-cell resolution and identifies five oxidative phosphorylation-related genes that may serve as potential therapeutic targets for this subtype.
Insights
Gastric cancer subtypes with microsatellite instability (MSI) show increased oxidative phosphorylation metabolism. Five key genes involved in this pathway may offer new therapeutic targets for MSI gastric cancer.
Area of Science:
- Oncology
- Molecular Biology
- Cancer Genomics
Background:
- Gastric cancer is a major global health concern, ranking third in cancer mortality.
- The Cancer Genome Atlas classifies gastric cancer into four subtypes, including microsatellite instability (MSI) and genomically stable (GS).
- Metabolic reprogramming within the tumor microenvironment of these subtypes is not well understood.
Purpose of the Study:
- To investigate the metabolic differences between MSI and GS gastric cancer subtypes.
- To identify key genes and pathways involved in metabolic reprogramming in MSI gastric cancer.
- To explore potential therapeutic targets for MSI gastric cancer.
Main Methods:
- Single-cell RNA sequencing was used to analyze tumor samples from GS and MSI gastric cancer patients.
- Differential gene expression and pathway analyses were performed on malignant epithelial cells.
- LASSO regression identified key oxidative phosphorylation genes, validated in TCGA data and patient-derived xenograft models.
Main Results:
- MSI tumors exhibited increased T cell infiltration and fewer epithelial cells compared to GS tumors.
- Malignant cells in MSI samples showed heightened oxidative phosphorylation pathway activity.
- Five oxidative phosphorylation genes were consistently upregulated in MSI tumors and associated with faster tumor growth and higher ATP levels.
Conclusions:
- MSI gastric cancer demonstrates enhanced oxidative phosphorylation metabolism at the single-cell level.
- Five specific oxidative phosphorylation-related genes are identified as potential therapeutic targets for MSI gastric cancer.
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