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Integrative analysis of multiple genomic data from intrahepatic cholangiocarcinoma organoids enables tumor subtyping.
Lee, Hee Seung; Han, Dai Hoon; Cho, Kyungjoo; Park, Soo Been; Kim, Chanyang; Leem, Galam; Jung, Dawoon E; Kwon, Soon Sung; Kim, Chul Hoon; Jo, Jung Hyun; Lee, Hye Won; Song, Si Young; Park, Jun Yong.
Afiliación
  • Lee HS; Division of Gastroenterology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea.
  • Han DH; Institute of Gastroenterology, Yonsei University College of Medicine, Seoul, Korea.
  • Cho K; Institute of Gastroenterology, Yonsei University College of Medicine, Seoul, Korea.
  • Park SB; Division of Hepatobiliary and Pancreatic Surgery, Department of Surgery, Yonsei University College of Medicine, Seoul, Korea.
  • Kim C; Division of Gastroenterology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea.
  • Leem G; Division of Gastroenterology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea.
  • Jung DE; Division of Gastroenterology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea.
  • Kwon SS; Division of Gastroenterology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea.
  • Kim CH; Division of Gastroenterology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea.
  • Jo JH; Institute of Gastroenterology, Yonsei University College of Medicine, Seoul, Korea.
  • Lee HW; Department of Pharmacology, Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Song SY; Department of Pharmacology, Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Park JY; Division of Gastroenterology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea.
Nat Commun ; 14(1): 237, 2023 01 16.
Article en En | MEDLINE | ID: mdl-36646721
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, TGFß 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.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias de los Conductos Biliares / Colangiocarcinoma Tipo de estudio: Observational_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2023 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias de los Conductos Biliares / Colangiocarcinoma Tipo de estudio: Observational_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2023 Tipo del documento: Article