Integrative analysis of multiple genomic data from intrahepatic cholangiocarcinoma organoids enables tumor subtyping.
Hee Seung LeeDai Hoon HanKyungjoo ChoSoo Been ParkChanyang KimGalam LeemDawoon E JungSoon Sung KwonChul Hoon KimJung Hyun JoHye Won LeeSi Young SongJun Yong ParkPublished in: Nature communications (2023)
As genomic analysis technology has advanced, it has become possible to sub-classify intrahepatic cholangiocarcinoma (ICC) at the histological or molecular level. Here, we verify the recently suggested two subgroups of ICC in the organoids model, compare the characteristics between types. ICC patients are subclassified into small-duct (SD) and large-duct (LD) subtype according to histological characteristics. ICC organoids are established, and unsupervised principal component analysis clustering separates each type of ICC. Differential gene expression reveals enrichment on KRAS, TGFβ and ERBB2 signaling pathways in LD-type compared with SD-type (P < 0.05). Gene set enrichment analysis demonstrates that the cholangiocarcinoma class 2 signature, defined by Andersen et al., is enriched in the LD-type (enrichment Score = 2.19, P < 0.001). A protein-protein interaction network analysis identifies ZNF217 as a significant hub protein (odds ratio = 4.96, P = 0.0105). We perform prospective modeling of histological subtype using patient-derived organoids. Moreover, gene expression profiling of ICC organoids enables identification of type-specific targetable pathways.
Keyphrases
- network analysis
- gene expression
- protein protein
- genome wide
- copy number
- small molecule
- dna methylation
- signaling pathway
- newly diagnosed
- induced pluripotent stem cells
- transforming growth factor
- epithelial mesenchymal transition
- tyrosine kinase
- oxidative stress
- electronic health record
- rna seq
- artificial intelligence
- patient reported