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Proteogenomic Characterization of Human Early-Onset Gastric Cancer

Proteogenomic Characterization of Human Early-Onset Gastric Cancer
Mun, Dong-GiBhin, JinhyukKim, SangokKim, HyunwooJung, Jae HunJung, YeonjooJang, Ye EunPark, Jong MoonKim, HokeunJung, YeonhwaLee, HangyeoreBae, JingiBack, SeunghoonKim, Su-JinKim, JieunPark, HeejinLi, HonglanHwang, Kyu-BaekPark, Young SooYook, Jeong HwanKim, Byung SikKwon, Sun YoungRyu, Seung WanPark, Do YounJeon, Tae YongKim, Dae HwanLee, Jae-HyuckHan, Sang-UkSong, Kyu SangPark, DongminPark, Jun WonRodriguez, HenryKim, JaesangLee, HookeunKim, Kwang PyoYang, Eun GyeongKim, Hark KyunPaek, EunokLee, SanghyukLee, Sang-WonHwang, Daehee
DGIST Authors
Hwang, Daehee
Issued Date
Article Type
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.
Cell Press
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Department of New Biology Systems Biology and Medicine Lab 1. Journal Articles


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