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Identifying tumor immunity-associated molecular features in liver hepatocellular carcinoma by multi-omics analysis

Background: Although current immunotherapies have achieved some successes for hepatocellular carcinoma (HCC) patients, their benefits are limited for most HCC patients. Therefore, the identification of biomarkers for promoting immunotherapeutic responses in HCC is urgently needed. Methods: Using the...

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Autores principales: Shen, Qianyun, He, Yin, Qian, Jiajie, Wang, Xiaosheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9632276/
https://www.ncbi.nlm.nih.gov/pubmed/36339710
http://dx.doi.org/10.3389/fmolb.2022.960457
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author Shen, Qianyun
He, Yin
Qian, Jiajie
Wang, Xiaosheng
author_facet Shen, Qianyun
He, Yin
Qian, Jiajie
Wang, Xiaosheng
author_sort Shen, Qianyun
collection PubMed
description Background: Although current immunotherapies have achieved some successes for hepatocellular carcinoma (HCC) patients, their benefits are limited for most HCC patients. Therefore, the identification of biomarkers for promoting immunotherapeutic responses in HCC is urgently needed. Methods: Using the TCGA HCC cohort, we investigated correlations of various molecular features with antitumor immune signatures (CD8(+) T cell infiltration and cytolytic activity) and an immunosuppressive signature (PD-L1 expression) in HCC. These molecular features included mRNAs, microRNAs (miRNAs), long non-coding RNAs (lncRNAs), proteins, and pathways. Results: We found that the mutations of several oncogenes and tumor suppressor genes significantly correlated with reduced antitumor immune signatures, including TTN, CTNNB1, RB1, ZFHX4, and TP53. It indicates that these genes’ mutations may inhibit antitumor immune responses in HCC. Four proteins (Syk, Lck, STAT5, and Caspase-7) had significant positive expression correlations with CD8(+) T cell enrichment, cytolytic activity, and PD-L1 expression in HCC. It suggests that these proteins’ expression could be useful biomarkers for the response to immune checkpoint inhibitors Similiarly, we identified other types of biomarkers potentially useful for predicting the response to ICIs, including miRNAs (hsa-miR-511-5p, 150-3p, 342-3p, 181a-3p, 625-5p, 4772-3p, 155-3p, 142-5p, 142-3p, 155-5p, 625-3p, 1976, 7702), many lncRNAs, and pathways (apoptosis, cytokine-cytokine receptor interaction, Jak-STAT signaling, MAPK signaling, PI3K-AKT signaling, HIF-1 signaling, ECM receptor interaction, focal adhesion, and estrogen signaling). Further, tumor mutation burden showed no significant correlation with antitumor immunity, while tumor aneuploidy levels showed a significant negative correlation with antitumor immunity. Conclusion: The molecular features significantly associated with HCC immunity could be predictive biomarkers for immunotherapeutic responses in HCC patients. They could also be potential intervention targets for boosting antitumor immunity and immunotherapeutic responses in HCC.
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spelling pubmed-96322762022-11-04 Identifying tumor immunity-associated molecular features in liver hepatocellular carcinoma by multi-omics analysis Shen, Qianyun He, Yin Qian, Jiajie Wang, Xiaosheng Front Mol Biosci Molecular Biosciences Background: Although current immunotherapies have achieved some successes for hepatocellular carcinoma (HCC) patients, their benefits are limited for most HCC patients. Therefore, the identification of biomarkers for promoting immunotherapeutic responses in HCC is urgently needed. Methods: Using the TCGA HCC cohort, we investigated correlations of various molecular features with antitumor immune signatures (CD8(+) T cell infiltration and cytolytic activity) and an immunosuppressive signature (PD-L1 expression) in HCC. These molecular features included mRNAs, microRNAs (miRNAs), long non-coding RNAs (lncRNAs), proteins, and pathways. Results: We found that the mutations of several oncogenes and tumor suppressor genes significantly correlated with reduced antitumor immune signatures, including TTN, CTNNB1, RB1, ZFHX4, and TP53. It indicates that these genes’ mutations may inhibit antitumor immune responses in HCC. Four proteins (Syk, Lck, STAT5, and Caspase-7) had significant positive expression correlations with CD8(+) T cell enrichment, cytolytic activity, and PD-L1 expression in HCC. It suggests that these proteins’ expression could be useful biomarkers for the response to immune checkpoint inhibitors Similiarly, we identified other types of biomarkers potentially useful for predicting the response to ICIs, including miRNAs (hsa-miR-511-5p, 150-3p, 342-3p, 181a-3p, 625-5p, 4772-3p, 155-3p, 142-5p, 142-3p, 155-5p, 625-3p, 1976, 7702), many lncRNAs, and pathways (apoptosis, cytokine-cytokine receptor interaction, Jak-STAT signaling, MAPK signaling, PI3K-AKT signaling, HIF-1 signaling, ECM receptor interaction, focal adhesion, and estrogen signaling). Further, tumor mutation burden showed no significant correlation with antitumor immunity, while tumor aneuploidy levels showed a significant negative correlation with antitumor immunity. Conclusion: The molecular features significantly associated with HCC immunity could be predictive biomarkers for immunotherapeutic responses in HCC patients. They could also be potential intervention targets for boosting antitumor immunity and immunotherapeutic responses in HCC. Frontiers Media S.A. 2022-10-20 /pmc/articles/PMC9632276/ /pubmed/36339710 http://dx.doi.org/10.3389/fmolb.2022.960457 Text en Copyright © 2022 Shen, He, Qian and Wang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Molecular Biosciences
Shen, Qianyun
He, Yin
Qian, Jiajie
Wang, Xiaosheng
Identifying tumor immunity-associated molecular features in liver hepatocellular carcinoma by multi-omics analysis
title Identifying tumor immunity-associated molecular features in liver hepatocellular carcinoma by multi-omics analysis
title_full Identifying tumor immunity-associated molecular features in liver hepatocellular carcinoma by multi-omics analysis
title_fullStr Identifying tumor immunity-associated molecular features in liver hepatocellular carcinoma by multi-omics analysis
title_full_unstemmed Identifying tumor immunity-associated molecular features in liver hepatocellular carcinoma by multi-omics analysis
title_short Identifying tumor immunity-associated molecular features in liver hepatocellular carcinoma by multi-omics analysis
title_sort identifying tumor immunity-associated molecular features in liver hepatocellular carcinoma by multi-omics analysis
topic Molecular Biosciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9632276/
https://www.ncbi.nlm.nih.gov/pubmed/36339710
http://dx.doi.org/10.3389/fmolb.2022.960457
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