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...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 hetero-geneity.The recent study by Tang et al provides a detailed single-cell RNA se-quencing analysis of GC across different stages,revealing dynamic changes in the tumor microenvironment and key immune responses.We aim to offer a compre-hensive 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 immuno-therapy strategies.We further emphasize the importance of personalized medi-cine,early detection,and novel drug discovery techniques in improving GC treatment outcomes.展开更多
基金Supported by Scientific Research Project of Putian University,No.2022059Special Project for Outstanding Young Talents of Putian University,No.2024072Natural Science Foundation of Fujian Province,No.2023J01160.
文摘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 hetero-geneity.The recent study by Tang et al provides a detailed single-cell RNA se-quencing analysis of GC across different stages,revealing dynamic changes in the tumor microenvironment and key immune responses.We aim to offer a compre-hensive 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 immuno-therapy strategies.We further emphasize the importance of personalized medi-cine,early detection,and novel drug discovery techniques in improving GC treatment outcomes.
