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An M0 macrophage-related prognostic model for hepatocellular carcinoma
BACKGROUND: The role of M0 macrophages and their related genes in the prognosis of hepatocellular carcinoma (HCC) remains poorly characterized. METHODS: Multidimensional bioinformatic methods were used to construct a risk score model using M0 macrophage-related genes (M0RGs). RESULTS: Infiltration o...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9294844/ https://www.ncbi.nlm.nih.gov/pubmed/35854246 http://dx.doi.org/10.1186/s12885-022-09872-y |
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author | Zhang, Yiya Zou, Ju Chen, Ruochan |
author_facet | Zhang, Yiya Zou, Ju Chen, Ruochan |
author_sort | Zhang, Yiya |
collection | PubMed |
description | BACKGROUND: The role of M0 macrophages and their related genes in the prognosis of hepatocellular carcinoma (HCC) remains poorly characterized. METHODS: Multidimensional bioinformatic methods were used to construct a risk score model using M0 macrophage-related genes (M0RGs). RESULTS: Infiltration of M0 macrophages was significantly higher in HCC tissues than in normal liver tissues (P = 2.299e-07). Further analysis revealed 35 M0RGs that were associated with HCC prognosis; two M0RGs (OLA1 and ATIC) were constructed and validated as a prognostic signature for overall survival of patients with HCC. Survival analysis revealed the positive relationship between the M0RG signature and unfavorable prognosis. Correlation analysis showed that this risk model had positive associations with clinicopathological characteristics, somatic gene mutations, immune cell infiltration, immune checkpoint inhibitor targets, and efficacy of common drugs. CONCLUSIONS: The constructed M0RG-based risk model may be promising for the clinical prediction of prognoses and therapeutic responses in patients with HCC. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-022-09872-y. |
format | Online Article Text |
id | pubmed-9294844 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-92948442022-07-19 An M0 macrophage-related prognostic model for hepatocellular carcinoma Zhang, Yiya Zou, Ju Chen, Ruochan BMC Cancer Research BACKGROUND: The role of M0 macrophages and their related genes in the prognosis of hepatocellular carcinoma (HCC) remains poorly characterized. METHODS: Multidimensional bioinformatic methods were used to construct a risk score model using M0 macrophage-related genes (M0RGs). RESULTS: Infiltration of M0 macrophages was significantly higher in HCC tissues than in normal liver tissues (P = 2.299e-07). Further analysis revealed 35 M0RGs that were associated with HCC prognosis; two M0RGs (OLA1 and ATIC) were constructed and validated as a prognostic signature for overall survival of patients with HCC. Survival analysis revealed the positive relationship between the M0RG signature and unfavorable prognosis. Correlation analysis showed that this risk model had positive associations with clinicopathological characteristics, somatic gene mutations, immune cell infiltration, immune checkpoint inhibitor targets, and efficacy of common drugs. CONCLUSIONS: The constructed M0RG-based risk model may be promising for the clinical prediction of prognoses and therapeutic responses in patients with HCC. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-022-09872-y. BioMed Central 2022-07-19 /pmc/articles/PMC9294844/ /pubmed/35854246 http://dx.doi.org/10.1186/s12885-022-09872-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Zhang, Yiya Zou, Ju Chen, Ruochan An M0 macrophage-related prognostic model for hepatocellular carcinoma |
title | An M0 macrophage-related prognostic model for hepatocellular carcinoma |
title_full | An M0 macrophage-related prognostic model for hepatocellular carcinoma |
title_fullStr | An M0 macrophage-related prognostic model for hepatocellular carcinoma |
title_full_unstemmed | An M0 macrophage-related prognostic model for hepatocellular carcinoma |
title_short | An M0 macrophage-related prognostic model for hepatocellular carcinoma |
title_sort | m0 macrophage-related prognostic model for hepatocellular carcinoma |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9294844/ https://www.ncbi.nlm.nih.gov/pubmed/35854246 http://dx.doi.org/10.1186/s12885-022-09872-y |
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