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

doi:10.1016/j.ccell.2018.12.003

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 YookByung 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

Department of Life Science

Research output: Contribution to journal › Article › peer-review

186 Scopus citations

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.

Original language	English
Pages (from-to)	111-124.e10
Journal	Cancer Cell
Volume	35
Issue number	1
DOIs	https://doi.org/10.1016/j.ccell.2018.12.003
State	Published - 14 Jan 2019

Bibliographical note

Publisher Copyright:
© 2018 Elsevier Inc.

Keywords

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

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10.1016/j.ccell.2018.12.003

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@article{214266c9d06a41379a2c9e816cb0da81,

title = "Proteogenomic Characterization of Human Early-Onset Gastric Cancer",

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",

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

note = "Publisher Copyright: {\textcopyright} 2018 Elsevier Inc.",

year = "2019",

month = jan,

day = "14",

doi = "10.1016/j.ccell.2018.12.003",

language = "English",

volume = "35",

pages = "111--124.e10",

journal = "Cancer Cell",

issn = "1535-6108",

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Mun, DG, Bhin, J, Kim, S, Kim, H, Jung, JH, Jung, Y, Jang, YE, Park, JM, Kim, H, Jung, Y, Lee, H, Bae, J, Back, S, Kim, SJ, Kim, J, Park, H, Li, H, Hwang, KB, Park, YS, Yook, JH, Kim, BS, Kwon, SY, Ryu, SW, Park, DY, Jeon, TY, Kim, DH, Lee, JH, Han, SU, Song, KS, Park, D, Park, JW, Rodriguez, H, Kim, J, Lee, H, Kim, KP, Yang, EG, Kim, HK, Paek, E, Lee, S, Lee, SW & Hwang, D 2019, 'Proteogenomic Characterization of Human Early-Onset Gastric Cancer', Cancer Cell, vol. 35, no. 1, pp. 111-124.e10. https://doi.org/10.1016/j.ccell.2018.12.003

TY - JOUR

T1 - Proteogenomic Characterization of Human Early-Onset Gastric Cancer

AU - Mun, Dong Gi

AU - Bhin, Jinhyuk

AU - Kim, Sangok

AU - Kim, Hyunwoo

AU - Jung, Jae Hun

AU - Jung, Yeonjoo

AU - Jang, Ye Eun

AU - Park, Jong Moon

AU - Kim, Hokeun

AU - Jung, Yeonhwa

AU - Lee, Hangyeore

AU - Bae, Jingi

AU - Back, Seunghoon

AU - Kim, Su Jin

AU - Kim, Jieun

AU - Park, Heejin

AU - Li, Honglan

AU - Hwang, Kyu Baek

AU - Park, Young Soo

AU - Yook, Jeong Hwan

AU - Kim, Byung Sik

AU - Kwon, Sun Young

AU - Ryu, Seung Wan

AU - Park, Do Youn

AU - Jeon, Tae Yong

AU - Kim, Dae Hwan

AU - Lee, Jae Hyuck

AU - Han, Sang Uk

AU - Song, Kyu Sang

AU - Park, Dongmin

AU - Park, Jun Won

AU - Rodriguez, Henry

AU - Kim, Jaesang

AU - Lee, Hookeun

AU - Kim, Kwang Pyo

AU - Yang, Eun Gyeong

AU - Kim, Hark Kyun

AU - Paek, Eunok

AU - Lee, Sanghyuk

AU - Lee, Sang Won

AU - Hwang, Daehee

PY - 2019/1/14

Y1 - 2019/1/14

N2 - 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.

AB - 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.

KW - cancer subtypes

KW - correlation between mRNA and protein abundance changes

KW - correlation between mutation and phosphorylation

KW - diffuse gastric cancer

KW - proteogenomics

KW - somatic nonsynonymous mutations

UR - http://www.scopus.com/inward/record.url?scp=85059409840&partnerID=8YFLogxK

U2 - 10.1016/j.ccell.2018.12.003

DO - 10.1016/j.ccell.2018.12.003

M3 - Article

C2 - 30645970

AN - SCOPUS:85059409840

SN - 1535-6108

VL - 35

SP - 111-124.e10

JO - Cancer Cell

JF - Cancer Cell

IS - 1

ER -

Proteogenomic Characterization of Human Early-Onset Gastric Cancer

Abstract

Bibliographical note

Keywords

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