Advances in Spatial Multi-Omics in Gastric Cancer

Area of Science:

• Oncology
• Genomics
• Molecular Biology

Background:

• Gastric cancer (GC) presents a significant global health challenge due to its complex tumor heterogeneity.
• Traditional bulk omics analyses fail to capture spatial molecular variations within the tumor microenvironment (TME).
• Single-cell omics provide cellular heterogeneity insights but lack spatial context.

Purpose of the Study:

• To review the evolution and applications of spatial multi-omics technologies in gastric cancer research.
• To explore how spatial profiling refines GC classification, identifies biomarkers, and decodes cellular interactions.
• To highlight the role of spatial profiling in understanding resistance mechanisms and discuss clinical translation.

Main Methods:

• Review of spatial technologies including transcriptomics, proteomics, metabolomics, genomics, and epigenomics.
• Analysis of spatial multi-omics applications in dissecting GC heterogeneity and TME.
• Exploration of spatial profiling's role in identifying biomarkers and resistance mechanisms.

Main Results:

• Spatial multi-omics provide a high-definition dissection of GC heterogeneity, surpassing traditional methods.
• These technologies refine molecular classification, identify novel biomarkers, and elucidate immune evasion and metastasis pathways.
• Spatial profiling reveals mechanisms of resistance to various cancer therapies.

Conclusions:

• Spatial multi-omics are essential for a comprehensive understanding of gastric cancer.
• These advanced techniques hold significant promise for optimizing therapeutic efficacy and clinical translation.
• Addressing current technical bottlenecks is key to fully realizing the clinical potential of spatial profiling in GC.