摘要
Abstract Gastric cancer is the leading cause of cancer related deaths worldwide, accounts for over 700,000 deaths each year. There is an urgent need for advancing therapeutic strategies for patients with gastric cancer. Addressing this need, the Clinical Proteomics Tumor Analysis Consortium (CPTAC) has conducted a comprehensive characterization of gastric cancer, aiming to elucidate the complex molecular mechanisms driving this cancer type, and to discover underlying cancer biology that will form the basis for developing new approaches for precision medicine. This comprehensive study includes an integrated multi-level proteomics analysis of 165 surgically resected gastric cancer and 41 normal adjacent tissues. We employed a multi-faceted approach, analyzing the proteome, phosphoproteome and glycoproteome, along with other protein modifications including ubiquitination, acetylation, and tyrosine phosphorylation. Furthermore, we extended our research to include 74 pairs of early-onset gastric cancer and normal adjacent tissues, analyzed using a proteomic approach. We can totally identify more than 12,000 protein groups with median identification of 9750 protein groups per sample. This expansive dataset helps constructing a comprehensive multi-omics atlas of gastric cancer, offering a deep understanding into the disease's molecular landscape. The depth of this study was enhanced by incorporating multi-level proteomics data across 6 tiers, facilitating an unprecedented multi-level proteomics analysis. Our integrated approach allows us to illustrate the changes in protein expression, protein modifications, signaling pathways, and protein networks during tumorigeneis. This analysis uncovers potential therapeutic targets for personalized treatments. Overall, our study provides a multi-omics atlas for gastric cancer, a profound insight into gastric cancer biology, contributing significantly to the understanding of its pathogenesis. It could pave the way for precise treatments for gastric cancer, underscoring the potential of multi-level proteomics analyses in advancing personalized medicine. Citation Format: Yuefan Wang, Clinical Proteomic Tumor Analysis Consortium (CPTAC). Comprehensive multi-level proteomics characterization of gastric cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 1851.