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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...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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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. |
format | Online Article Text |
id | pubmed-9842736 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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