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Interleukin-2 inducible T-cell kinase: a potential prognostic biomarker and tumor microenvironment remodeling indicator for hepatocellular carcinoma

Background: The heterogeneous tumor microenvironment (TME) contributes to poor prognosis of hepatocellular carcinoma (HCC). However, determining the modulation of TME during HCC progression remains a challenge. Methods: Herein, the stromal score and immune score of HCC samples from The Cancer Genome...

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Autores principales: Pan, Binhua, Yang, Modan, Wei, Xuyong, Li, Wangyao, Wang, Kun, Yang, Mengfan, Lu, Di, Wang, Rui, Cen, Beini, Xu, Xiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8351695/
https://www.ncbi.nlm.nih.gov/pubmed/34282055
http://dx.doi.org/10.18632/aging.203306
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author Pan, Binhua
Yang, Modan
Wei, Xuyong
Li, Wangyao
Wang, Kun
Yang, Mengfan
Lu, Di
Wang, Rui
Cen, Beini
Xu, Xiao
author_facet Pan, Binhua
Yang, Modan
Wei, Xuyong
Li, Wangyao
Wang, Kun
Yang, Mengfan
Lu, Di
Wang, Rui
Cen, Beini
Xu, Xiao
author_sort Pan, Binhua
collection PubMed
description Background: The heterogeneous tumor microenvironment (TME) contributes to poor prognosis of hepatocellular carcinoma (HCC). However, determining the modulation of TME during HCC progression remains a challenge. Methods: Herein, the stromal score and immune score of HCC samples from The Cancer Genome Atlas database were calculated using the ESTIMATE algorithm and differentially expressed genes (DEGs) were obtained. Key DEGs were identified based on a protein-protein interaction network and survival analysis. Immunohistochemistry was carried out using primary samples to evaluate key DEGs expression. The CIBERSORT algorithm was applied to evaluate immune components. Gene Set Enrichment Analysis (GSEA) and correlation analysis were carried out to determine the relationship between key DEGs and tumor-infiltrating immune cells (TICs). Results: The stromal score, immune score and estimate score correlated significantly with 1-year recurrence-free survival of patients with HCC. Interleukin-2 inducible T-cell kinase (ITK) was identified as the most prognostic DEG for patients with HCC. GSEA revealed that genes in the high ITK subgroup were enriched in inflammatory-immunological terms. CIBERSORT analysis identified nine TIC subsets that correlated with ITK expression. Conclusion: We identified ITK as a novel indicator for early post-surgery tumor recurrence and microenvironment remodeling in HCC, providing a potential therapeutic target to treat HCC.
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spelling pubmed-83516952021-08-10 Interleukin-2 inducible T-cell kinase: a potential prognostic biomarker and tumor microenvironment remodeling indicator for hepatocellular carcinoma Pan, Binhua Yang, Modan Wei, Xuyong Li, Wangyao Wang, Kun Yang, Mengfan Lu, Di Wang, Rui Cen, Beini Xu, Xiao Aging (Albany NY) Research Paper Background: The heterogeneous tumor microenvironment (TME) contributes to poor prognosis of hepatocellular carcinoma (HCC). However, determining the modulation of TME during HCC progression remains a challenge. Methods: Herein, the stromal score and immune score of HCC samples from The Cancer Genome Atlas database were calculated using the ESTIMATE algorithm and differentially expressed genes (DEGs) were obtained. Key DEGs were identified based on a protein-protein interaction network and survival analysis. Immunohistochemistry was carried out using primary samples to evaluate key DEGs expression. The CIBERSORT algorithm was applied to evaluate immune components. Gene Set Enrichment Analysis (GSEA) and correlation analysis were carried out to determine the relationship between key DEGs and tumor-infiltrating immune cells (TICs). Results: The stromal score, immune score and estimate score correlated significantly with 1-year recurrence-free survival of patients with HCC. Interleukin-2 inducible T-cell kinase (ITK) was identified as the most prognostic DEG for patients with HCC. GSEA revealed that genes in the high ITK subgroup were enriched in inflammatory-immunological terms. CIBERSORT analysis identified nine TIC subsets that correlated with ITK expression. Conclusion: We identified ITK as a novel indicator for early post-surgery tumor recurrence and microenvironment remodeling in HCC, providing a potential therapeutic target to treat HCC. Impact Journals 2021-07-19 /pmc/articles/PMC8351695/ /pubmed/34282055 http://dx.doi.org/10.18632/aging.203306 Text en Copyright: © 2021 Pan et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/3.0/) (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Pan, Binhua
Yang, Modan
Wei, Xuyong
Li, Wangyao
Wang, Kun
Yang, Mengfan
Lu, Di
Wang, Rui
Cen, Beini
Xu, Xiao
Interleukin-2 inducible T-cell kinase: a potential prognostic biomarker and tumor microenvironment remodeling indicator for hepatocellular carcinoma
title Interleukin-2 inducible T-cell kinase: a potential prognostic biomarker and tumor microenvironment remodeling indicator for hepatocellular carcinoma
title_full Interleukin-2 inducible T-cell kinase: a potential prognostic biomarker and tumor microenvironment remodeling indicator for hepatocellular carcinoma
title_fullStr Interleukin-2 inducible T-cell kinase: a potential prognostic biomarker and tumor microenvironment remodeling indicator for hepatocellular carcinoma
title_full_unstemmed Interleukin-2 inducible T-cell kinase: a potential prognostic biomarker and tumor microenvironment remodeling indicator for hepatocellular carcinoma
title_short Interleukin-2 inducible T-cell kinase: a potential prognostic biomarker and tumor microenvironment remodeling indicator for hepatocellular carcinoma
title_sort interleukin-2 inducible t-cell kinase: a potential prognostic biomarker and tumor microenvironment remodeling indicator for hepatocellular carcinoma
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8351695/
https://www.ncbi.nlm.nih.gov/pubmed/34282055
http://dx.doi.org/10.18632/aging.203306
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