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Somatic mutation landscape reveals differential variability of cell-of-origin for primary liver cancer

Primary liver tissue cancer types are renowned to display a consistent increase in global disease burden and mortality, thus needing more effective diagnostics and treatments. Yet, integrative research efforts to identify cell-of-origin for these cancers by utilizing human specimen data were poorly...

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Autores principales: Ha, Kyungsik, Fujita, Masashi, Karlić, Rosa, Yang, Sungmin, Xue, Ruidong, Zhang, Chong, Bai, Fan, Zhang, Ning, Hoshida, Yujin, Polak, Paz, Nakagawa, Hidewaki, Kim, Hong-Gee, Lee, Hwajin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7016380/
https://www.ncbi.nlm.nih.gov/pubmed/32083210
http://dx.doi.org/10.1016/j.heliyon.2020.e03350
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author Ha, Kyungsik
Fujita, Masashi
Karlić, Rosa
Yang, Sungmin
Xue, Ruidong
Zhang, Chong
Bai, Fan
Zhang, Ning
Hoshida, Yujin
Polak, Paz
Nakagawa, Hidewaki
Kim, Hong-Gee
Lee, Hwajin
author_facet Ha, Kyungsik
Fujita, Masashi
Karlić, Rosa
Yang, Sungmin
Xue, Ruidong
Zhang, Chong
Bai, Fan
Zhang, Ning
Hoshida, Yujin
Polak, Paz
Nakagawa, Hidewaki
Kim, Hong-Gee
Lee, Hwajin
author_sort Ha, Kyungsik
collection PubMed
description Primary liver tissue cancer types are renowned to display a consistent increase in global disease burden and mortality, thus needing more effective diagnostics and treatments. Yet, integrative research efforts to identify cell-of-origin for these cancers by utilizing human specimen data were poorly established. To this end, we analyzed previously published whole-genome sequencing data for 384 tumor and progenitor tissues along with 423 publicly available normal tissue epigenomic features and single cell RNA-seq data from human livers to assess correlation patterns and extended this information to conduct in-silico prediction of the cell-of-origin for primary liver cancer subtypes. Despite mixed histological features, the cell-of-origin for mixed hepatocellular carcinoma/intrahepatic cholangiocarcinoma subtype was predominantly predicted to be hepatocytic origin. Individual sample-level predictions also revealed hepatocytes as one of the major predicted cell-of-origin for intrahepatic cholangiocarcinoma, thus implying trans-differentiation process during cancer progression. Additional analyses on the whole genome sequencing data of hepatic progenitor cells suggest these cells may not be a direct cell-of-origin for liver cancers. These results provide novel insights on the nature and potential contributors of cell-of-origins for primary liver cancers.
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spelling pubmed-70163802020-02-20 Somatic mutation landscape reveals differential variability of cell-of-origin for primary liver cancer Ha, Kyungsik Fujita, Masashi Karlić, Rosa Yang, Sungmin Xue, Ruidong Zhang, Chong Bai, Fan Zhang, Ning Hoshida, Yujin Polak, Paz Nakagawa, Hidewaki Kim, Hong-Gee Lee, Hwajin Heliyon Article Primary liver tissue cancer types are renowned to display a consistent increase in global disease burden and mortality, thus needing more effective diagnostics and treatments. Yet, integrative research efforts to identify cell-of-origin for these cancers by utilizing human specimen data were poorly established. To this end, we analyzed previously published whole-genome sequencing data for 384 tumor and progenitor tissues along with 423 publicly available normal tissue epigenomic features and single cell RNA-seq data from human livers to assess correlation patterns and extended this information to conduct in-silico prediction of the cell-of-origin for primary liver cancer subtypes. Despite mixed histological features, the cell-of-origin for mixed hepatocellular carcinoma/intrahepatic cholangiocarcinoma subtype was predominantly predicted to be hepatocytic origin. Individual sample-level predictions also revealed hepatocytes as one of the major predicted cell-of-origin for intrahepatic cholangiocarcinoma, thus implying trans-differentiation process during cancer progression. Additional analyses on the whole genome sequencing data of hepatic progenitor cells suggest these cells may not be a direct cell-of-origin for liver cancers. These results provide novel insights on the nature and potential contributors of cell-of-origins for primary liver cancers. Elsevier 2020-02-11 /pmc/articles/PMC7016380/ /pubmed/32083210 http://dx.doi.org/10.1016/j.heliyon.2020.e03350 Text en © 2020 The Authors. Published by Elsevier Ltd. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Ha, Kyungsik
Fujita, Masashi
Karlić, Rosa
Yang, Sungmin
Xue, Ruidong
Zhang, Chong
Bai, Fan
Zhang, Ning
Hoshida, Yujin
Polak, Paz
Nakagawa, Hidewaki
Kim, Hong-Gee
Lee, Hwajin
Somatic mutation landscape reveals differential variability of cell-of-origin for primary liver cancer
title Somatic mutation landscape reveals differential variability of cell-of-origin for primary liver cancer
title_full Somatic mutation landscape reveals differential variability of cell-of-origin for primary liver cancer
title_fullStr Somatic mutation landscape reveals differential variability of cell-of-origin for primary liver cancer
title_full_unstemmed Somatic mutation landscape reveals differential variability of cell-of-origin for primary liver cancer
title_short Somatic mutation landscape reveals differential variability of cell-of-origin for primary liver cancer
title_sort somatic mutation landscape reveals differential variability of cell-of-origin for primary liver cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7016380/
https://www.ncbi.nlm.nih.gov/pubmed/32083210
http://dx.doi.org/10.1016/j.heliyon.2020.e03350
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