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Whole genome and RNA sequencing analyses for 254 Taiwanese hepatocellular carcinomas
BACKGROUND: Comprehensive and integrative analysis of hepatocellular carcinoma (HCC) is important. In this study, we explored Taiwanese HCCs using multi-omics analyses. METHODS: We analyzed 254 HCCs by whole genome sequencing and total RNA sequencing, and then used bioinformatic tools to analyze gen...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10320951/ https://www.ncbi.nlm.nih.gov/pubmed/37403120 http://dx.doi.org/10.1186/s40364-023-00492-7 |
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author | Chang, Ya-Sian Tu, Siang-Jyun Chen, Hong-Da Chung, Chin-Chun Hsu, Ming-Hon Chou, Yu-Pao Lee, Ya-Ting Yen, Ju-Chen Jeng, Long-Bin Chang, Jan-Gowth |
author_facet | Chang, Ya-Sian Tu, Siang-Jyun Chen, Hong-Da Chung, Chin-Chun Hsu, Ming-Hon Chou, Yu-Pao Lee, Ya-Ting Yen, Ju-Chen Jeng, Long-Bin Chang, Jan-Gowth |
author_sort | Chang, Ya-Sian |
collection | PubMed |
description | BACKGROUND: Comprehensive and integrative analysis of hepatocellular carcinoma (HCC) is important. In this study, we explored Taiwanese HCCs using multi-omics analyses. METHODS: We analyzed 254 HCCs by whole genome sequencing and total RNA sequencing, and then used bioinformatic tools to analyze genomic and transcriptomic alterations in coding and non-coding sequences to explore the clinical importance of each sequence. RESULTS: The frequencies of the five most commonly mutated cancer-related genes were TERT, TP53, CTNNB1, RB1, and ARID1A. Genetic alteration frequencies influenced the etiology of HCC; some alterations were also correlated with clinicopathological conditions. Many cancer-related genes had copy number alterations (CNAs) and structure variants (SVs) that changed according to etiology and exhibited potential associations with survival. We also identified several alterations in histone-related genes, HCC-related long non-coding RNAs, and non-coding driver genes that may contribute to the onset and progression of HCC. Transcriptomic analysis revealed that 229 differentially expressed and 148 novel alternative splicing (AS) genes, as well as the presence of fusion genes, were associated with patient survival. Moreover, somatic mutations, CNAs, and SVs were associated with immune checkpoint gene expression and tumor microenvironment. Finally, we identified relationships among AS, immune checkpoint gene expression and tumor microenvironment. CONCLUSIONS: This study shows that genomic alterations are associated with survival, including DNA-based and RNA-based data. Moreover, genomic alterations and their associations with immune checkpoint genes and the tumor microenvironment may provide novel insights for the diagnosis and treatment of HCC. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40364-023-00492-7. |
format | Online Article Text |
id | pubmed-10320951 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-103209512023-07-06 Whole genome and RNA sequencing analyses for 254 Taiwanese hepatocellular carcinomas Chang, Ya-Sian Tu, Siang-Jyun Chen, Hong-Da Chung, Chin-Chun Hsu, Ming-Hon Chou, Yu-Pao Lee, Ya-Ting Yen, Ju-Chen Jeng, Long-Bin Chang, Jan-Gowth Biomark Res Research BACKGROUND: Comprehensive and integrative analysis of hepatocellular carcinoma (HCC) is important. In this study, we explored Taiwanese HCCs using multi-omics analyses. METHODS: We analyzed 254 HCCs by whole genome sequencing and total RNA sequencing, and then used bioinformatic tools to analyze genomic and transcriptomic alterations in coding and non-coding sequences to explore the clinical importance of each sequence. RESULTS: The frequencies of the five most commonly mutated cancer-related genes were TERT, TP53, CTNNB1, RB1, and ARID1A. Genetic alteration frequencies influenced the etiology of HCC; some alterations were also correlated with clinicopathological conditions. Many cancer-related genes had copy number alterations (CNAs) and structure variants (SVs) that changed according to etiology and exhibited potential associations with survival. We also identified several alterations in histone-related genes, HCC-related long non-coding RNAs, and non-coding driver genes that may contribute to the onset and progression of HCC. Transcriptomic analysis revealed that 229 differentially expressed and 148 novel alternative splicing (AS) genes, as well as the presence of fusion genes, were associated with patient survival. Moreover, somatic mutations, CNAs, and SVs were associated with immune checkpoint gene expression and tumor microenvironment. Finally, we identified relationships among AS, immune checkpoint gene expression and tumor microenvironment. CONCLUSIONS: This study shows that genomic alterations are associated with survival, including DNA-based and RNA-based data. Moreover, genomic alterations and their associations with immune checkpoint genes and the tumor microenvironment may provide novel insights for the diagnosis and treatment of HCC. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40364-023-00492-7. BioMed Central 2023-07-04 /pmc/articles/PMC10320951/ /pubmed/37403120 http://dx.doi.org/10.1186/s40364-023-00492-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Chang, Ya-Sian Tu, Siang-Jyun Chen, Hong-Da Chung, Chin-Chun Hsu, Ming-Hon Chou, Yu-Pao Lee, Ya-Ting Yen, Ju-Chen Jeng, Long-Bin Chang, Jan-Gowth Whole genome and RNA sequencing analyses for 254 Taiwanese hepatocellular carcinomas |
title | Whole genome and RNA sequencing analyses for 254 Taiwanese hepatocellular carcinomas |
title_full | Whole genome and RNA sequencing analyses for 254 Taiwanese hepatocellular carcinomas |
title_fullStr | Whole genome and RNA sequencing analyses for 254 Taiwanese hepatocellular carcinomas |
title_full_unstemmed | Whole genome and RNA sequencing analyses for 254 Taiwanese hepatocellular carcinomas |
title_short | Whole genome and RNA sequencing analyses for 254 Taiwanese hepatocellular carcinomas |
title_sort | whole genome and rna sequencing analyses for 254 taiwanese hepatocellular carcinomas |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10320951/ https://www.ncbi.nlm.nih.gov/pubmed/37403120 http://dx.doi.org/10.1186/s40364-023-00492-7 |
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