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Construction of a tumor immune infiltration macrophage signature for predicting prognosis and immunotherapy response in liver cancer
Liver cancer is an extraordinarily heterogeneous malignant disease. The tumor microenvironment (TME) and tumor-associated macrophages (TAMs) are the major drivers of liver cancer initiation and progression. It is critical to have a better understanding of the complicated interactions between liver c...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9479109/ https://www.ncbi.nlm.nih.gov/pubmed/36120553 http://dx.doi.org/10.3389/fmolb.2022.983840 |
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author | Huang, Anmin Lv, Bei Zhang, Yunjie Yang, Junhui Li, Jie Li, Chengjun Yu, Zhijie Xia, Jinglin |
author_facet | Huang, Anmin Lv, Bei Zhang, Yunjie Yang, Junhui Li, Jie Li, Chengjun Yu, Zhijie Xia, Jinglin |
author_sort | Huang, Anmin |
collection | PubMed |
description | Liver cancer is an extraordinarily heterogeneous malignant disease. The tumor microenvironment (TME) and tumor-associated macrophages (TAMs) are the major drivers of liver cancer initiation and progression. It is critical to have a better understanding of the complicated interactions between liver cancer and the immune system for the development of cancer immunotherapy. Based on the gene expression profiles of tumor immune infiltration cells (TIICs), upregulated genes in TAMs and downregulated genes in other types of immune cells were identified as macrophage-specific genes (MSG). In this study, we combined MSG, immune subtypes, and clinical information on liver cancer to develop a tumor immune infiltration macrophage signature (TIMSig). A four-gene signature (S100A9, SLC22A15, TRIM54, and PPARGC1A) was identified as the TAM-related prognostic genes for liver cancer, independent of multiple clinicopathological parameters. Survival analyses showed that patients with low TIMSig had a superior survival rate than those with high TIMSig. Additionally, clinical immunotherapy response and TIMSig was observed as highly relevant. In addition, TIMSig could predict the response to chemotherapy. Collectively, the TIMSig could be a potential tool for risk-stratification, clinical decision making, treatment planning, and oncology immunotherapeutic drug development. |
format | Online Article Text |
id | pubmed-9479109 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-94791092022-09-17 Construction of a tumor immune infiltration macrophage signature for predicting prognosis and immunotherapy response in liver cancer Huang, Anmin Lv, Bei Zhang, Yunjie Yang, Junhui Li, Jie Li, Chengjun Yu, Zhijie Xia, Jinglin Front Mol Biosci Molecular Biosciences Liver cancer is an extraordinarily heterogeneous malignant disease. The tumor microenvironment (TME) and tumor-associated macrophages (TAMs) are the major drivers of liver cancer initiation and progression. It is critical to have a better understanding of the complicated interactions between liver cancer and the immune system for the development of cancer immunotherapy. Based on the gene expression profiles of tumor immune infiltration cells (TIICs), upregulated genes in TAMs and downregulated genes in other types of immune cells were identified as macrophage-specific genes (MSG). In this study, we combined MSG, immune subtypes, and clinical information on liver cancer to develop a tumor immune infiltration macrophage signature (TIMSig). A four-gene signature (S100A9, SLC22A15, TRIM54, and PPARGC1A) was identified as the TAM-related prognostic genes for liver cancer, independent of multiple clinicopathological parameters. Survival analyses showed that patients with low TIMSig had a superior survival rate than those with high TIMSig. Additionally, clinical immunotherapy response and TIMSig was observed as highly relevant. In addition, TIMSig could predict the response to chemotherapy. Collectively, the TIMSig could be a potential tool for risk-stratification, clinical decision making, treatment planning, and oncology immunotherapeutic drug development. Frontiers Media S.A. 2022-09-02 /pmc/articles/PMC9479109/ /pubmed/36120553 http://dx.doi.org/10.3389/fmolb.2022.983840 Text en Copyright © 2022 Huang, Lv, Zhang, Yang, Li, Li, Yu and Xia. 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 Huang, Anmin Lv, Bei Zhang, Yunjie Yang, Junhui Li, Jie Li, Chengjun Yu, Zhijie Xia, Jinglin Construction of a tumor immune infiltration macrophage signature for predicting prognosis and immunotherapy response in liver cancer |
title | Construction of a tumor immune infiltration macrophage signature for predicting prognosis and immunotherapy response in liver cancer |
title_full | Construction of a tumor immune infiltration macrophage signature for predicting prognosis and immunotherapy response in liver cancer |
title_fullStr | Construction of a tumor immune infiltration macrophage signature for predicting prognosis and immunotherapy response in liver cancer |
title_full_unstemmed | Construction of a tumor immune infiltration macrophage signature for predicting prognosis and immunotherapy response in liver cancer |
title_short | Construction of a tumor immune infiltration macrophage signature for predicting prognosis and immunotherapy response in liver cancer |
title_sort | construction of a tumor immune infiltration macrophage signature for predicting prognosis and immunotherapy response in liver cancer |
topic | Molecular Biosciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9479109/ https://www.ncbi.nlm.nih.gov/pubmed/36120553 http://dx.doi.org/10.3389/fmolb.2022.983840 |
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