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Macrophages M1-Related Prognostic Signature in Hepatocellular Carcinoma

A large number of studies have found that macrophages M1 play an important role in the occurrence and development of tumors. The aim of our study is to explore the causes of differential infiltration of macrophages M1 in hepatocellular carcinoma from the perspective of transcriptome and establish a...

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Detalles Bibliográficos
Autores principales: Zhang, Hao, Sun, Lin, Hu, Xiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8486543/
https://www.ncbi.nlm.nih.gov/pubmed/34745260
http://dx.doi.org/10.1155/2021/6347592
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author Zhang, Hao
Sun, Lin
Hu, Xiao
author_facet Zhang, Hao
Sun, Lin
Hu, Xiao
author_sort Zhang, Hao
collection PubMed
description A large number of studies have found that macrophages M1 play an important role in the occurrence and development of tumors. The aim of our study is to explore the causes of differential infiltration of macrophages M1 in hepatocellular carcinoma from the perspective of transcriptome and establish a prognostic model of hepatocellular carcinoma. We downloaded gene expression and clinical data from the public database, estimated the content of macrophages M1 in different samples with R software, and found the different genes between high- and low-infiltration groups. Using differentially expressed genes, we constructed a model composed of 7 genes. The risk score of the model has a good ability to predict the prognosis, has a positive correlation with immune checkpoints, and is closely related to other immune cells and immune function. Our model shows good prognostic function and has wide application value.
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spelling pubmed-84865432021-10-02 Macrophages M1-Related Prognostic Signature in Hepatocellular Carcinoma Zhang, Hao Sun, Lin Hu, Xiao J Oncol Research Article A large number of studies have found that macrophages M1 play an important role in the occurrence and development of tumors. The aim of our study is to explore the causes of differential infiltration of macrophages M1 in hepatocellular carcinoma from the perspective of transcriptome and establish a prognostic model of hepatocellular carcinoma. We downloaded gene expression and clinical data from the public database, estimated the content of macrophages M1 in different samples with R software, and found the different genes between high- and low-infiltration groups. Using differentially expressed genes, we constructed a model composed of 7 genes. The risk score of the model has a good ability to predict the prognosis, has a positive correlation with immune checkpoints, and is closely related to other immune cells and immune function. Our model shows good prognostic function and has wide application value. Hindawi 2021-09-23 /pmc/articles/PMC8486543/ /pubmed/34745260 http://dx.doi.org/10.1155/2021/6347592 Text en Copyright © 2021 Hao Zhang et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Zhang, Hao
Sun, Lin
Hu, Xiao
Macrophages M1-Related Prognostic Signature in Hepatocellular Carcinoma
title Macrophages M1-Related Prognostic Signature in Hepatocellular Carcinoma
title_full Macrophages M1-Related Prognostic Signature in Hepatocellular Carcinoma
title_fullStr Macrophages M1-Related Prognostic Signature in Hepatocellular Carcinoma
title_full_unstemmed Macrophages M1-Related Prognostic Signature in Hepatocellular Carcinoma
title_short Macrophages M1-Related Prognostic Signature in Hepatocellular Carcinoma
title_sort macrophages m1-related prognostic signature in hepatocellular carcinoma
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8486543/
https://www.ncbi.nlm.nih.gov/pubmed/34745260
http://dx.doi.org/10.1155/2021/6347592
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