Cargando…

Identification and Validation of a Metabolism-Related Prognostic Signature Associated with M2 Macrophage Infiltration in Gastric Cancer

High levels of M2 macrophage infiltration invariably contribute to poor cancer prognosis and can be manipulated by metabolic reprogramming in the tumor microenvironment. However, the metabolism-related genes (MRGs) affecting M2 macrophage infiltration and their clinical implications are not fully un...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Yunze, Zheng, Haocheng, Gu, Anna Meilin, Li, Yuan, Wang, Tieshan, Li, Chengze, Gu, Yixiao, Lin, Jie, Ding, Xia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10342140/
https://www.ncbi.nlm.nih.gov/pubmed/37445803
http://dx.doi.org/10.3390/ijms241310625
_version_ 1785072431502721024
author Liu, Yunze
Zheng, Haocheng
Gu, Anna Meilin
Li, Yuan
Wang, Tieshan
Li, Chengze
Gu, Yixiao
Lin, Jie
Ding, Xia
author_facet Liu, Yunze
Zheng, Haocheng
Gu, Anna Meilin
Li, Yuan
Wang, Tieshan
Li, Chengze
Gu, Yixiao
Lin, Jie
Ding, Xia
author_sort Liu, Yunze
collection PubMed
description High levels of M2 macrophage infiltration invariably contribute to poor cancer prognosis and can be manipulated by metabolic reprogramming in the tumor microenvironment. However, the metabolism-related genes (MRGs) affecting M2 macrophage infiltration and their clinical implications are not fully understood. In this study, we identified 173 MRGs associated with M2 macrophage infiltration in cases of gastric cancer (GC) using the TCGA and GEO databases. Twelve MRGs were eventually adopted as the prognostic signature to develop a risk model. In the high-risk group, the patients showed poorer survival outcomes than patients in the low-risk group. Additionally, the patients in the high-risk group were less sensitive to certain drugs, such as 5-Fluorouracil, Oxaliplatin, and Cisplatin. Risk scores were positively correlated with the infiltration of multiple immune cells, including CD8+ T cells and M2 macrophages. Furthermore, a difference was observed in the expression and distribution between the 12 signature genes in the tumor microenvironment through single-cell sequencing analysis. In vitro experiments proved that the M2 polarization of macrophages was suppressed by Sorcin-knockdown GC cells, thereby hindering the proliferation and migration of GC cells. These findings provide a valuable prognostic signature for evaluating clinical outcomes and corresponding treatment options and identifying potential targets for GC treatment.
format Online
Article
Text
id pubmed-10342140
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-103421402023-07-14 Identification and Validation of a Metabolism-Related Prognostic Signature Associated with M2 Macrophage Infiltration in Gastric Cancer Liu, Yunze Zheng, Haocheng Gu, Anna Meilin Li, Yuan Wang, Tieshan Li, Chengze Gu, Yixiao Lin, Jie Ding, Xia Int J Mol Sci Article High levels of M2 macrophage infiltration invariably contribute to poor cancer prognosis and can be manipulated by metabolic reprogramming in the tumor microenvironment. However, the metabolism-related genes (MRGs) affecting M2 macrophage infiltration and their clinical implications are not fully understood. In this study, we identified 173 MRGs associated with M2 macrophage infiltration in cases of gastric cancer (GC) using the TCGA and GEO databases. Twelve MRGs were eventually adopted as the prognostic signature to develop a risk model. In the high-risk group, the patients showed poorer survival outcomes than patients in the low-risk group. Additionally, the patients in the high-risk group were less sensitive to certain drugs, such as 5-Fluorouracil, Oxaliplatin, and Cisplatin. Risk scores were positively correlated with the infiltration of multiple immune cells, including CD8+ T cells and M2 macrophages. Furthermore, a difference was observed in the expression and distribution between the 12 signature genes in the tumor microenvironment through single-cell sequencing analysis. In vitro experiments proved that the M2 polarization of macrophages was suppressed by Sorcin-knockdown GC cells, thereby hindering the proliferation and migration of GC cells. These findings provide a valuable prognostic signature for evaluating clinical outcomes and corresponding treatment options and identifying potential targets for GC treatment. MDPI 2023-06-25 /pmc/articles/PMC10342140/ /pubmed/37445803 http://dx.doi.org/10.3390/ijms241310625 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Liu, Yunze
Zheng, Haocheng
Gu, Anna Meilin
Li, Yuan
Wang, Tieshan
Li, Chengze
Gu, Yixiao
Lin, Jie
Ding, Xia
Identification and Validation of a Metabolism-Related Prognostic Signature Associated with M2 Macrophage Infiltration in Gastric Cancer
title Identification and Validation of a Metabolism-Related Prognostic Signature Associated with M2 Macrophage Infiltration in Gastric Cancer
title_full Identification and Validation of a Metabolism-Related Prognostic Signature Associated with M2 Macrophage Infiltration in Gastric Cancer
title_fullStr Identification and Validation of a Metabolism-Related Prognostic Signature Associated with M2 Macrophage Infiltration in Gastric Cancer
title_full_unstemmed Identification and Validation of a Metabolism-Related Prognostic Signature Associated with M2 Macrophage Infiltration in Gastric Cancer
title_short Identification and Validation of a Metabolism-Related Prognostic Signature Associated with M2 Macrophage Infiltration in Gastric Cancer
title_sort identification and validation of a metabolism-related prognostic signature associated with m2 macrophage infiltration in gastric cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10342140/
https://www.ncbi.nlm.nih.gov/pubmed/37445803
http://dx.doi.org/10.3390/ijms241310625
work_keys_str_mv AT liuyunze identificationandvalidationofametabolismrelatedprognosticsignatureassociatedwithm2macrophageinfiltrationingastriccancer
AT zhenghaocheng identificationandvalidationofametabolismrelatedprognosticsignatureassociatedwithm2macrophageinfiltrationingastriccancer
AT guannameilin identificationandvalidationofametabolismrelatedprognosticsignatureassociatedwithm2macrophageinfiltrationingastriccancer
AT liyuan identificationandvalidationofametabolismrelatedprognosticsignatureassociatedwithm2macrophageinfiltrationingastriccancer
AT wangtieshan identificationandvalidationofametabolismrelatedprognosticsignatureassociatedwithm2macrophageinfiltrationingastriccancer
AT lichengze identificationandvalidationofametabolismrelatedprognosticsignatureassociatedwithm2macrophageinfiltrationingastriccancer
AT guyixiao identificationandvalidationofametabolismrelatedprognosticsignatureassociatedwithm2macrophageinfiltrationingastriccancer
AT linjie identificationandvalidationofametabolismrelatedprognosticsignatureassociatedwithm2macrophageinfiltrationingastriccancer
AT dingxia identificationandvalidationofametabolismrelatedprognosticsignatureassociatedwithm2macrophageinfiltrationingastriccancer