| Literature DB >> 30645970 |
Dong-Gi Mun1, Jinhyuk Bhin2, Sangok Kim3, Hyunwoo Kim4, Jae Hun Jung5, Yeonjoo Jung3, Ye Eun Jang3, Jong Moon Park6, Hokeun Kim1, Yeonhwa Jung3, Hangyeore Lee1, Jingi Bae1, Seunghoon Back1, Su-Jin Kim1, Jieun Kim3, Heejin Park7, Honglan Li8, Kyu-Baek Hwang8, Young Soo Park9, Jeong Hwan Yook10, Byung Sik Kim10, Sun Young Kwon11, Seung Wan Ryu11, Do Youn Park12, Tae Yong Jeon13, Dae Hwan Kim13, Jae-Hyuck Lee14, Sang-Uk Han15, Kyu Sang Song16, Dongmin Park17, Jun Won Park17, Henry Rodriguez18, Jaesang Kim3, Hookeun Lee6, Kwang Pyo Kim5, Eun Gyeong Yang19, Hark Kyun Kim20, Eunok Paek21, Sanghyuk Lee22, Sang-Won Lee23, Daehee Hwang24.
Abstract
We report proteogenomic analysis of diffuse gastric cancers (GCs) in young populations. Phosphoproteome data elucidated signaling pathways associated with somatic mutations based on mutation-phosphorylation correlations. Moreover, correlations between mRNA and protein abundances provided potential oncogenes and tumor suppressors associated with patient survival. Furthermore, integrated clustering of mRNA, protein, phosphorylation, and N-glycosylation data identified four subtypes of diffuse GCs. Distinguishing these subtypes was possible by proteomic data. Four subtypes were associated with proliferation, immune response, metabolism, and invasion, respectively; and associations of the subtypes with immune- and invasion-related pathways were identified mainly by phosphorylation and N-glycosylation data. Therefore, our proteogenomic analysis provides additional information beyond genomic analyses, which can improve understanding of cancer biology and patient stratification in diffuse GCs.Entities:
Keywords: cancer subtypes; correlation between mRNA and protein abundance changes; correlation between mutation and phosphorylation; diffuse gastric cancer; proteogenomics; somatic nonsynonymous mutations
Mesh：
Year: 2019 PMID： 30645970 DOI： 10.1016/j.ccell.2018.12.003
Source DB: PubMed Journal: Cancer Cell ISSN： 1535-6108 Impact factor: 31.743