Apoptosis-Related Gene-Mediated Cell Death Pattern Induces Immunosuppression and Immunotherapy Resistance in Gastric Cancer
Xiaolu Yuan1, Jun Zhou2, Liping Zhou3
1Department of Pathology, Maoming People's Hospital, Maoming, China.
Abstract:
Background: Apoptosis is a type of cell death, which can produce abundant mediators to modify the tumor microenvironment. However, relationships between apoptosis, immunosuppression, and immunotherapy resistance of gastric cancer (GC) remain unclear. Methods: Gene expression data and matching clinical information were extracted from TCGA-STAD, GSE84437, GSE34942, GSE15459, GSE57303, ACRG/GSE62254, GSE29272, GSE26253, and IMvigor210 datasets. A consensus clustering analysis based on six apoptosis-related genes (ARGs) was performed to determine the molecular subtypes, and then an apoptosisScore was constructed based on differentially expressed and prognostic genes between molecular subtypes. Estimate R package was utilized to calculate the tumor microenvironment condition. Kaplan-Meier analysis and ROC curves were performed to further confirm the apoptosisScore efficacy. Results: Based on six ARGs, two molecular subgroups with significantly distinct survival and immune cell infiltration were identified. Then, an apoptosisScore was built to quantify the apoptosis index of each GC patient. Next, we investigated the correlations between the clinical characteristics and apoptosisScore using logistic regression. Multivariate Cox analysis shows that low apoptosisScore was an independent predictor of poor overall survival in TCGA and ACRG datasets, and was associated with the higher pathological stage. Meanwhile, low apoptosisScore was associated with higher immune cell, higher ESTIMATEScore, higher immuneScore, higher stromalScore, higher immune checkpoint, and lower tumorpurity, which was consistent with the "immunity tidal model theory". Importantly, low apoptosisScore was sensitive to immunotherapy. In addition, GSEA indicated that several gene ontology and Kyoto Encyclopedia of Genes and Genomes items associated with apoptosis, several immune-related pathways, and JAK-STAT signal pathway were considerably enriched in the low apoptosisScore phenotype pathway. Conclusion: Our findings propose that low apoptosisScore is a prognostic biomarker, correlated with immune infiltrates, and sensitivity to immunotherapy in GC.
Insights
Low apoptosis (programmed cell death) is linked to immune suppression and immunotherapy resistance in gastric cancer (GC). A new apoptosisScore may predict patient survival and treatment response.
Area of Science:
- Oncology
- Immunology
- Genetics
Background:
- Apoptosis, a form of programmed cell death, influences the tumor microenvironment.
- The interplay between apoptosis, immune suppression, and immunotherapy resistance in gastric cancer (GC) is not fully understood.
Purpose of the Study:
- To investigate the relationship between apoptosis-related genes (ARGs), molecular subtypes, and the tumor immune microenvironment in gastric cancer.
- To develop and validate an apoptosisScore as a prognostic and predictive biomarker for gastric cancer patients.
Main Methods:
- Consensus clustering based on six ARGs to identify molecular subtypes in multiple gastric cancer datasets (TCGA-STAD, GSE84437, etc.).
- Construction of an apoptosisScore using differentially expressed and prognostic genes.
- Analysis of tumor microenvironment (TME) using ESTIMATE, Kaplan-Meier, ROC curves, and multivariate Cox analysis.
- Assessment of immunotherapy sensitivity using the IMvigor210 dataset and Gene Set Enrichment Analysis (GSEA).
Main Results:
- Two distinct molecular subgroups with significant differences in survival and immune cell infiltration were identified.
- A novel apoptosisScore was developed to quantify apoptosis levels in GC patients.
- Low apoptosisScore was independently associated with poor overall survival, advanced pathological stage, and altered TME characteristics (higher immune infiltration, ESTIMATE, immune, and stromal scores; lower tumor purity).
- Low apoptosisScore correlated with increased immune checkpoints and predicted sensitivity to immunotherapy.
- GSEA revealed enrichment of apoptosis, immune-related, and JAK-STAT signaling pathways in the low apoptosisScore phenotype.
Conclusions:
- The developed apoptosisScore serves as a valuable prognostic biomarker in gastric cancer.
- Low apoptosisScore is significantly correlated with immune cell infiltration and predicts favorable response to immunotherapy.
- These findings highlight the critical role of apoptosis in shaping the GC tumor microenvironment and influencing treatment outcomes.
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