Proteogenomic Characterization of Human Early-Onset Gastric Cancer
 Authors and Affiliations
 Authors and Affiliations
Dong-Gi Mun,1,21 Jinhyuk Bhin,2,3,21 Sangok Kim,4,21 Hyunwoo Kim,5,6,21 Jae Hun Jung,7,21 Yeonjoo Jung,4 Ye Eun Jang,4 Jong Moon Park,8 Hokeun Kim,1 Yeonhwa Jung,4 Hangyeore Lee,1 Jingi Bae,1 Seunghoon Back,1 Su-Jin Kim,1 Jieun Kim,4 Heejin Park,5 Honglan Li,9 Kyu-Baek Hwang,9 Young Soo Park,10 Jeong Hwan Yook,11 Byung Sik Kim,11 Sun Young Kwon,12 Seung Wan Ryu,12 Do Youn Park,13 Tae Yong Jeon,14 Dae Hwan Kim,14 Jae-Hyuck Lee,15 Sang-Uk Han,16 Kyu Sang Song,17 Dongmin Park,18 Jun Won Park,18 Henry Rodriguez,19 Jaesang Kim,4 Hookeun Lee,8 Kwang Pyo Kim,7 Eun Gyeong Yang,20,* Hark Kyun Kim,18, * Eunok Paek,5,* Sanghyuk Lee,4,* Sang-Won Lee,1,* and Daehee Hwang2,22,*
1 Department of Chemistry, Center for Proteogenome Research, Korea University, Seoul 136-701, Republic of Korea 2 Department of New Biology and Center for Plant Aging Research, Institute for Basic Science, DGIST, Daegu 711-873, Republic of Korea 3 Division of Molecular Pathology, Oncode Institute, the Netherlands Cancer Institute, 1066CX Amsterdam, the Netherlands 4 Department of Life Science and Ewha Research Center for Systems Biology, Ewha Womans University, Seoul 120-750, Republic of Korea 5 Department of Computer Science and Engineering, Hanyang University, Seoul 133-791, Republic of Korea 6 Research Data Hub Center, Korea Institute of Science and Technology Information, Daejeon 34141, Republic of Korea 7 Department of Applied Chemistry, College of Applied Sciences, Kyung Hee University, Yong-in 446-701, Republic of Korea 8 Gachon Institute of Pharmaceutical Sciences, Gachon College of Pharmacy, Gachon University, Incheon 406-799, Republic of Korea 9 School of Computer Science and Engineering, Soongsil University, Seoul 156-743, Republic of Korea 10 Department of Pathology, University of Ulsan College of Medicine, Asan Medical Center, Seoul 138-873, Republic of Korea 11 Department of Surgery, University of Ulsan College of Medicine, Asan Medical Center, Seoul 138-873, Republic of Korea 12 Department of Surgery, Keimyung University School of Medicine, Daegu 700-712, Republic of Korea 13 Department of Pathology, Pusan National University School of Medicine, Busan 602-739, Republic of Korea 14 Department of Surgery, Pusan National University School of Medicine, Busan 602-739, Republic of Korea 15 Department of Pathology, Chonnam National University Medical School, Gwangju 501-746, Republic of Korea 16 Department of Surgery, Ajou University School of Medicine, Suwon 443-380 Republic of Korea 17 Department of Pathology, School of Medicine, Chungnam National University, Daejeon 301-747 Republic of Korea 18 National Cancer Center, Goyang 410-769, Republic of Korea 19 Office of Cancer Clinical Proteomics Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA 20 Biomedical Research Institute, Korea Institute of Science and Technology, Seoul 136-791, Republic of Korea 21 These authors contributed equally 22 Lead Contact
*Correspondence : 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.
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