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

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  • Hee Seung Lee

    (Yonsei University College of Medicine
    Yonsei University College of Medicine)

  • Dai Hoon Han

    (Yonsei University College of Medicine
    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
    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
    Yonsei University College of Medicine)

  • Hye Won Lee

    (Yonsei University College of Medicine
    Yonsei University College of Medicine)

  • Si Young Song

    (Yonsei University College of Medicine
    Yonsei University College of Medicine)

  • Jun Yong Park

    (Yonsei University College of Medicine
    Yonsei University College of Medicine)

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

Suggested Citation

  • 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 & Jun Yong Park, 2023. "Integrative analysis of multiple genomic data from intrahepatic cholangiocarcinoma organoids enables tumor subtyping," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-35896-4
    DOI: 10.1038/s41467-023-35896-4
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