This review reveals the impact of multi-omics approaches on biomarker discovery and treatment strategies in gastrointestinal tumors, indicating their potential for improved diagnosis.
Key Points
Multi-omics integration enhances understanding of the genetic characteristics and heterogeneity of gastrointestinal tumors.
Genomics, transcriptomics, proteomics, and metabolomics contribute to early screening and therapeutic target identification.
Challenges like data heterogeneity and high costs hinder the clinical translation of multi-omics technologies.
Future strategies integrating AI and single-cell multi-omics may improve the precision of gastrointestinal tumor diagnosis and treatment.