Integrative analysis of multiple genomic data from intrahepatic cholangiocarcinoma organoids enables tumor subtyping

Hee Seung Lee, Dai Hoon Han, Kyungjoo Cho, Soo Been Park, Chanyang Kim, Galam Leem, Dawoon E. Jung, Soon Sung Kwon, Chul Hoon Kim, Jung Hyun Jo, Hye Won Lee, Si Young Song () and Jun Yong Park ()
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Hee Seung Lee: Yonsei University College of Medicine
Dai Hoon Han: Yonsei University College of Medicine
Kyungjoo Cho: Yonsei University College of Medicine
Soo Been Park: Yonsei University College of Medicine
Chanyang Kim: Yonsei University College of Medicine
Galam Leem: Yonsei University College of Medicine
Dawoon E. Jung: Yonsei University College of Medicine
Soon Sung Kwon: Yonsei University College of Medicine
Chul Hoon Kim: Yonsei University College of Medicine
Jung Hyun Jo: Yonsei University College of Medicine
Hye Won Lee: Yonsei University College of Medicine
Si Young Song: Yonsei University College of Medicine
Jun Yong Park: Yonsei University College of Medicine

Nature Communications, 2023, vol. 14, issue 1, 1-11

Abstract: Abstract 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

Date: 2023
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DOI: 10.1038/s41467-023-35896-4

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