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Transcriptome analysis creates a new era of precision medicine for managing recurrent hepatocellular carcinoma
The high incidence of hepatocellular carcinoma (HCC) recurrence negatively impacts outcomes of patients treated with curative intent despite advances in surgical techniques and other locoregional liver-targeting therapies. Over the past few decades, the emergence of transcriptome analysis tools, inc...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Baishideng Publishing Group Inc
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9932421/ https://www.ncbi.nlm.nih.gov/pubmed/36816628 http://dx.doi.org/10.3748/wjg.v29.i5.780 |
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author | Chiang, Chun-Cheng Yeh, Hsuan Lim, Siew-Na Lin, Wey-Ran |
author_facet | Chiang, Chun-Cheng Yeh, Hsuan Lim, Siew-Na Lin, Wey-Ran |
author_sort | Chiang, Chun-Cheng |
collection | PubMed |
description | The high incidence of hepatocellular carcinoma (HCC) recurrence negatively impacts outcomes of patients treated with curative intent despite advances in surgical techniques and other locoregional liver-targeting therapies. Over the past few decades, the emergence of transcriptome analysis tools, including real-time quantitative reverse transcription PCR, microarrays, and RNA sequencing, has not only largely contributed to our knowledge about the pathogenesis of recurrent HCC but also led to the development of outcome prediction models based on differentially expressed gene signatures. In recent years, the single-cell RNA sequencing technique has revolutionized our ability to study the complicated crosstalk between cancer cells and the immune environment, which may benefit further investigations on the role of different immune cells in HCC recurrence and the identification of potential therapeutic targets. In the present article, we summarized the major findings yielded with these transcriptome methods within the framework of a causal model consisting of three domains: primary cancer cells; carcinogenic stimuli; and tumor microenvironment. We provided a comprehensive review of the insights that transcriptome analyses have provided into diagnostics, surveillance, and treatment of HCC recurrence. |
format | Online Article Text |
id | pubmed-9932421 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Baishideng Publishing Group Inc |
record_format | MEDLINE/PubMed |
spelling | pubmed-99324212023-02-17 Transcriptome analysis creates a new era of precision medicine for managing recurrent hepatocellular carcinoma Chiang, Chun-Cheng Yeh, Hsuan Lim, Siew-Na Lin, Wey-Ran World J Gastroenterol Review The high incidence of hepatocellular carcinoma (HCC) recurrence negatively impacts outcomes of patients treated with curative intent despite advances in surgical techniques and other locoregional liver-targeting therapies. Over the past few decades, the emergence of transcriptome analysis tools, including real-time quantitative reverse transcription PCR, microarrays, and RNA sequencing, has not only largely contributed to our knowledge about the pathogenesis of recurrent HCC but also led to the development of outcome prediction models based on differentially expressed gene signatures. In recent years, the single-cell RNA sequencing technique has revolutionized our ability to study the complicated crosstalk between cancer cells and the immune environment, which may benefit further investigations on the role of different immune cells in HCC recurrence and the identification of potential therapeutic targets. In the present article, we summarized the major findings yielded with these transcriptome methods within the framework of a causal model consisting of three domains: primary cancer cells; carcinogenic stimuli; and tumor microenvironment. We provided a comprehensive review of the insights that transcriptome analyses have provided into diagnostics, surveillance, and treatment of HCC recurrence. Baishideng Publishing Group Inc 2023-02-07 2023-02-07 /pmc/articles/PMC9932421/ /pubmed/36816628 http://dx.doi.org/10.3748/wjg.v29.i5.780 Text en ©The Author(s) 2023. Published by Baishideng Publishing Group Inc. All rights reserved. https://creativecommons.org/licenses/by-nc/4.0/This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/ |
spellingShingle | Review Chiang, Chun-Cheng Yeh, Hsuan Lim, Siew-Na Lin, Wey-Ran Transcriptome analysis creates a new era of precision medicine for managing recurrent hepatocellular carcinoma |
title | Transcriptome analysis creates a new era of precision medicine for managing recurrent hepatocellular carcinoma |
title_full | Transcriptome analysis creates a new era of precision medicine for managing recurrent hepatocellular carcinoma |
title_fullStr | Transcriptome analysis creates a new era of precision medicine for managing recurrent hepatocellular carcinoma |
title_full_unstemmed | Transcriptome analysis creates a new era of precision medicine for managing recurrent hepatocellular carcinoma |
title_short | Transcriptome analysis creates a new era of precision medicine for managing recurrent hepatocellular carcinoma |
title_sort | transcriptome analysis creates a new era of precision medicine for managing recurrent hepatocellular carcinoma |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9932421/ https://www.ncbi.nlm.nih.gov/pubmed/36816628 http://dx.doi.org/10.3748/wjg.v29.i5.780 |
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