Proteogenomic Characterization of Human Early-Onset Gastric Cancer

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, 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

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.

Keywords: cancer subtypes; correlation between mRNA and protein abundance changes; correlation between mutation and phosphorylation; diffuse gastric cancer; proteogenomics; somatic nonsynonymous mutations.

Copyright © 2018 Elsevier Inc. All rights reserved.

Source: PubMed

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