Proteogenomic landscape of human pancreatic ductal adenocarcinoma in an Asian population reveals tumor cell-enriched and immune-rich subtypes.
Do Young HyeonDowoon NamYoungmin HanDuk Ki KimGibeom KimDaeun KimJingi BaeSeunghoon BackDong-Gi MunInamul Hasan MadarHangyeore LeeSu-Jin KimHokeun KimSangyeop HyunChang Rok KimSeon Ah ChoiYong Ryoul KimJuhee JeongSuwan JeonYeon Woong ChooKyung Bun LeeWooil KwonSeunghyuk ChoiTaewan GooTaesung ParkYoung-Ah SuhHongbeom KimJa-Lok KuMin-Sik KimEunok PaekDeachan ParkKeehoon JungSung Hee BaekJin-Young JangDaehee HwangSang-Won LeePublished in: Nature cancer (2022)
We report a proteogenomic analysis of pancreatic ductal adenocarcinoma (PDAC). Mutation-phosphorylation correlations identified signaling pathways associated with somatic mutations in significantly mutated genes. Messenger RNA-protein abundance correlations revealed potential prognostic biomarkers correlated with patient survival. Integrated clustering of mRNA, protein and phosphorylation data identified six PDAC subtypes. Cellular pathways represented by mRNA and protein signatures, defining the subtypes and compositions of cell types in the subtypes, characterized them as classical progenitor (TS1), squamous (TS2-4), immunogenic progenitor (IS1) and exocrine-like (IS2) subtypes. Compared with the mRNA data, protein and phosphorylation data further classified the squamous subtypes into activated stroma-enriched (TS2), invasive (TS3) and invasive-proliferative (TS4) squamous subtypes. Orthotopic mouse PDAC models revealed a higher number of pro-tumorigenic immune cells in TS4, inhibiting T cell proliferation. Our proteogenomic analysis provides significantly mutated genes/biomarkers, cellular pathways and cell types as potential therapeutic targets to improve stratification of patients with PDAC.
Keyphrases
- single cell
- binding protein
- cell proliferation
- rna seq
- protein protein
- high grade
- electronic health record
- signaling pathway
- cell therapy
- amino acid
- genome wide
- low grade
- big data
- stem cells
- human health
- protein kinase
- small molecule
- machine learning
- gene expression
- epithelial mesenchymal transition
- mesenchymal stem cells
- transcription factor
- endoplasmic reticulum stress
- case report
- cell cycle
- bioinformatics analysis
- anti inflammatory
- genome wide identification
- induced pluripotent stem cells