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

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 patient...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9842736/
https://www.ncbi.nlm.nih.gov/pubmed/36646721
http://dx.doi.org/10.1038/s41467-023-35896-4
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author 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
author_facet 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
author_sort Lee, Hee Seung
collection PubMed
description 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.
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spelling pubmed-98427362023-01-18 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 Nat Commun Article 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. Nature Publishing Group UK 2023-01-16 /pmc/articles/PMC9842736/ /pubmed/36646721 http://dx.doi.org/10.1038/s41467-023-35896-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
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
Integrative analysis of multiple genomic data from intrahepatic cholangiocarcinoma organoids enables tumor subtyping
title Integrative analysis of multiple genomic data from intrahepatic cholangiocarcinoma organoids enables tumor subtyping
title_full Integrative analysis of multiple genomic data from intrahepatic cholangiocarcinoma organoids enables tumor subtyping
title_fullStr Integrative analysis of multiple genomic data from intrahepatic cholangiocarcinoma organoids enables tumor subtyping
title_full_unstemmed Integrative analysis of multiple genomic data from intrahepatic cholangiocarcinoma organoids enables tumor subtyping
title_short Integrative analysis of multiple genomic data from intrahepatic cholangiocarcinoma organoids enables tumor subtyping
title_sort integrative analysis of multiple genomic data from intrahepatic cholangiocarcinoma organoids enables tumor subtyping
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9842736/
https://www.ncbi.nlm.nih.gov/pubmed/36646721
http://dx.doi.org/10.1038/s41467-023-35896-4
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