Proteogenomic Characterization of Human Early-Onset Gastric Cancer

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Title
Proteogenomic Characterization of Human Early-Onset Gastric Cancer
Author(s)
Dong-Gi Mun; Jinhyuk Bhin; Sangok Kim; Hyunwoo Kim; Jae Hun Jung; Yeonjoo Jung; Ye Eun Jang; Jong Moon Park; Hokeun Kim; Yeonhwa Jung; Hangyeore Lee; Jingi Bae; Seunghoon Back; Su-Jin Kim; Jieun Kim; Heejin Park; Honglan Li; Kyu-Baek Hwang; Young Soo Park; Jeong Hwan Yook; Byung Sik Kim; Sun Young Kwon; Seung Wan Ryu; Do Youn Park; Tae Yong Jeon; Dae Hwan Kim; Jae-Hyuck Lee; Sang-Uk Han; Kyu Sang Song; Dongmin Park; Jun Won Park; Henry Rodriguez; Jaesang Kim; Hookeun Lee; Kwang Pyo Kim; Eun Gyeong Yang; Hark Kyun Kim; Eunok Paek; Sanghyuk Lee; Sang-Won Lee; Daehee Hwang
Publication Date
2019-01
Journal
CANCER CELL, v.35, no.1, pp.111 - 124.e10
Publisher
CELL PRESS
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. © 2018 Elsevier Inc.Mun et al. perform proteogenomic analysis of diffuse gastric cancers (DGC) in a young population, identifying that correlations of mRNA-protein abundance associate with survival and defining four subtypes of DGC. The associations of some subtypes with related pathways are identified mainly by the proteomic data. © 2018 Elsevier Inc
URI
https://pr.ibs.re.kr/handle/8788114/5733
ISSN
1535-6108
Appears in Collections:
Center for Plant Aging Research (식물 노화·수명 연구단) > Journal Papers (저널논문)
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