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Gastric cancer (GC) remains one of the leading causes of cancer-related morbidity and mortality globally. Although significant progress has been made in treatment options, the survival rates for GC patients continue to be low. This is primarily attributed to the intricate and insufficiently understood mechanisms of disease progression, as well as the considerable challenges associated with tumor heterogeneity. The recent study by Tang et al provides a detailed single-cell RNA sequencing analysis of GC across different stages, revealing dynamic changes in the tumor microenvironment and key immune responses. We aim to offer a comprehensive interpretation of the study’s findings and propose several innovative directions for future academic research in gastric cancer. These include exploring advanced multi-omics approaches, leveraging spatial transcriptomics, integrating artificial intelligence for clinical applications, and developing novel immunotherapy strategies. We further emphasize the importance of personalized medicine, early detection, and novel drug discovery techniques in improving GC treatment outcomes.
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Zhao et al. (2025) studied this question.
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