Characterization of the tumor microenvironment in locally advanced gastric cancer and identification of spatially predictive biomarkers associated with beneficial neoadjuvant immunochemotherapy - Report - MDSpire
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Characterization of the tumor microenvironment in locally advanced gastric cancer and identification of spatially predictive biomarkers associated with beneficial neoadjuvant immunochemotherapy
Clinical Report: Analysis of the Tumor Microenvironment in Locally Advanced Gastric Cancer
Overview
This study identifies spatial biomarkers in the tumor microenvironment that correlate with responses to neoadjuvant immunochemotherapy in locally advanced gastric cancer. Key findings include the association of NOTUM, SERPINA3, and CD8+ T cell density with major pathological response.
Background
Locally advanced gastric cancer (LAGC) poses significant treatment challenges due to its late-stage diagnosis and variable responses to neoadjuvant immunochemotherapy (nICT). The identification of reliable predictive biomarkers is essential for optimizing treatment strategies and improving patient outcomes. Understanding the tumor microenvironment (TME) is crucial, as it influences therapeutic effectiveness and can guide personalized immunotherapy approaches.
Data Highlights
Biomarker
Correlation with MPR
NOTUM
Positive
SERPINA3
Positive
CD8+ T cell infiltration
Positive
Treg/CD3+ ratio
Negative
Key Findings
Spatial profiling revealed distinct transcriptional patterns in tumor-core and immune cell infiltration zones.
High expression of NOTUM, NKD1, and SERPINA3 is linked to major pathological response (MPR).
Increased CD8+ T cell infiltration correlates with better treatment outcomes.
A six-gene signature associated with survival was identified in TCGA-STAD data.
Validation of biomarkers was achieved through immunohistochemistry in a separate cohort.
Clinical Implications
The identification of spatial biomarkers such as NOTUM and SERPINA3 can aid clinicians in predicting responses to nICT in LAGC patients. Enhanced understanding of the TME may facilitate more personalized treatment strategies, potentially improving patient outcomes.
Conclusion
This research underscores the importance of spatial analysis of the tumor microenvironment in identifying predictive biomarkers for neoadjuvant immunotherapy in locally advanced gastric cancer. Further studies are warranted to validate these findings and integrate them into clinical practice.
