Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Huang, Anmin, Lv, Bei, Zhang, Yunjie, Yang, Junhui, Li, Jie, Li, Chengjun, Yu, Zhijie, Xia, Jinglin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
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
_version_ 1784790717620551680
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
work_keys_str_mv AT huanganmin constructionofatumorimmuneinfiltrationmacrophagesignatureforpredictingprognosisandimmunotherapyresponseinlivercancer
AT lvbei constructionofatumorimmuneinfiltrationmacrophagesignatureforpredictingprognosisandimmunotherapyresponseinlivercancer
AT zhangyunjie constructionofatumorimmuneinfiltrationmacrophagesignatureforpredictingprognosisandimmunotherapyresponseinlivercancer
AT yangjunhui constructionofatumorimmuneinfiltrationmacrophagesignatureforpredictingprognosisandimmunotherapyresponseinlivercancer
AT lijie constructionofatumorimmuneinfiltrationmacrophagesignatureforpredictingprognosisandimmunotherapyresponseinlivercancer
AT lichengjun constructionofatumorimmuneinfiltrationmacrophagesignatureforpredictingprognosisandimmunotherapyresponseinlivercancer
AT yuzhijie constructionofatumorimmuneinfiltrationmacrophagesignatureforpredictingprognosisandimmunotherapyresponseinlivercancer
AT xiajinglin constructionofatumorimmuneinfiltrationmacrophagesignatureforpredictingprognosisandimmunotherapyresponseinlivercancer