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Proteogenomic Characterization of Human Early-Onset Gastric Cancer
  • 작성일2020-02-04
  • 최종수정일2020-02-10
  • 담당부서연구기획과
  • 연락처043-719-8033
  • 922

Cancer Cell, 2019. 35(1), 111-124, DOI: https://doi.org/10.1016/j.ccell.2018.12.003


Proteogenomic Characterization of Human Early-Onset Gastric Cancer

Dong-Ki Mun, Jinhyuk Bhin;Sangok Kim;Hyunwoo kim;Jae Hun Jung;Jung Yeonjoo;Jang Ye Eun;Park Jong Moon;Kim Hokeun;Jung Yeonhwa;Lee Hangyeore;Bae Jingi;Back Seunghoon;Kim Su-Jin;Kim Jieun;Park Heejin;Li Honglan;Hwang Kyu-Baek;Park Young Soo;Yook Jeong Hwan;Kim Byung Sik;Kwon Sun Young;Ryu Seung Wan;Park Do Youn;Jeon Tae Yong;Kim Dae Hwan;Lee Jae-Hyuck;Han Sang-Uk;Song Kyu Sang;Park Dongmin;Park Jun Won;Rodriguez Henry;Kim Jaesang;Lee Hookeun;Kim Kwang Pyo;Eun Gyeong Yang;Hark Kyun Kim;Eunok Paek;Sanghyuk Lee;Sang-Won Lee;Daehee Hwang


Highlights

• Mutation-phosphorylation correlation suggests possible signaling interplays in EOGCs
• mRNA-protein correlation suggests genes with high association with patient survival
• Integrated analysis of mRNA and protein data identified four subtypes
• Phosphorylation data provide cellular signaling pathways underlying the subtypes


Summary

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.



  • 본 연구는 질병관리본부 연구개발과제연구비를 지원받아 수행되었습니다.
  • This research was supported by a fund by Research of Korea Centers for Disease Control and Prevention.


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