Proteogenomic Characterization of Human Early-Onset Gastric Cancer
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
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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