日本質量分析学会 第66回質量分析総合討論会

Program

Oral Sessions

Day 4, May 18(Fri.) 14:25-15:05 Room A (OrBit Hall)

A Proteomic Landscape of Diffuse-type Gastric Cancer

(1BPRC, 2BCM)
oJun Qin1,2, Bei Zhen1

The diffuse-type gastric cancer (DGC) is a subtype of gastric cancer with the worst prognosis and few treatment options. Here we present a dataset from 84 DGC patients, composed of a proteome of 11,340 gene products and mutation information of 274 cancer driver genes covering paired tumor and nearby tissue. DGC can be subtyped into 3 major classes (PX1-3) based on the altered proteome alone. PX1 and PX2 exhibit dysregulation in cell cycle and PX2 features additional EMT process; PX3 is enriched in immune response proteins, has the worst survival and is insensitive to chemotherapy. Data analysis revealed four major vulnerabilities in DGC that may be targeted for treatment, and nominated potential immunotherapy targets for DGC patients, particularly for those in PX3. This dataset provides a rich resource for information and knowledge mining toward altered signaling pathways in DGC and demonstrates the benefit of proteomic data in cancer molecular subtyping.