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Infiltration of LPAR5(+) macrophages in osteosarcoma tumor microenvironment predicts better outcomes

INTRODUCTION: Tumor microenvironment (TME) has been shown to be extensively involved in tumor development. However, the dynamic change of TME components and their effects are still unclear. Here, we attempted to identify TME-related genes that could help predict survival and may be potential therape...

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Autores principales: He, Yi, Zhou, Haiting, Huang, Xiaojian, Qu, Yunkun, Wang, Yingguang, Pei, Wenbin, Zhang, Rui, Chen, Sheng, You, Hongbo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9797602/
https://www.ncbi.nlm.nih.gov/pubmed/36591220
http://dx.doi.org/10.3389/fimmu.2022.909932
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author He, Yi
Zhou, Haiting
Huang, Xiaojian
Qu, Yunkun
Wang, Yingguang
Pei, Wenbin
Zhang, Rui
Chen, Sheng
You, Hongbo
author_facet He, Yi
Zhou, Haiting
Huang, Xiaojian
Qu, Yunkun
Wang, Yingguang
Pei, Wenbin
Zhang, Rui
Chen, Sheng
You, Hongbo
author_sort He, Yi
collection PubMed
description INTRODUCTION: Tumor microenvironment (TME) has been shown to be extensively involved in tumor development. However, the dynamic change of TME components and their effects are still unclear. Here, we attempted to identify TME-related genes that could help predict survival and may be potential therapeutic targets. METHODS: Data was collected from UCSC Xena and GEO database. ESTIMATE and CIBERSORT algorithms were applied to estimate the components and the proportions of TIICs in TME. We analyzed the gene expression differences of immune components and stromal components, respectively, and finally got the overlapped DEGs. Through protein-protein interaction (PPI) network and univariate Cox regression analysis based on shared DEGs, we screened out and validated the TME-related genes. Focusing on this gene, we analyzed the expression and prognostic value of this gene, and investigated its relationship with immune cells by correlation analysis, single cell analysis, immunohistochemistry and immunofluorescence analysis. RESULTS: Through a series analysis, we found that the proportion of immune and stromal components was an important prognostic factor, and screened out a key gene, LPAR5, which was highly correlated with prognosis and metastasis. And the expression of LPAR5 was positively correlated with immune cells, especially macrophages, indicating LPAR5(+) macrophages played an important role in tumor microenvironment of osteosarcoma. Meanwhile, the genes in LPAR5 high expression group were enriched in immune-related activities and pathways, and differentially expressed genes between LPAR5(+) macrophages and LPAR5(-) macrophages were enriched in the biological processes associated with phagocytosis and antigen presentation. What’ more, we found that LPAR5 was mainly expressed in TME, and high LPAR5 expression predicting a better prognosis. CONCLUSION: We identified a TME-related gene, LPAR5, which is a promising indicator for TME remodeling in osteosarcoma. Particularly, LPAR5(+) macrophages might have great potential to be a prognostic factor and therapeutic target for osteosarcoma.
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spelling pubmed-97976022022-12-30 Infiltration of LPAR5(+) macrophages in osteosarcoma tumor microenvironment predicts better outcomes He, Yi Zhou, Haiting Huang, Xiaojian Qu, Yunkun Wang, Yingguang Pei, Wenbin Zhang, Rui Chen, Sheng You, Hongbo Front Immunol Immunology INTRODUCTION: Tumor microenvironment (TME) has been shown to be extensively involved in tumor development. However, the dynamic change of TME components and their effects are still unclear. Here, we attempted to identify TME-related genes that could help predict survival and may be potential therapeutic targets. METHODS: Data was collected from UCSC Xena and GEO database. ESTIMATE and CIBERSORT algorithms were applied to estimate the components and the proportions of TIICs in TME. We analyzed the gene expression differences of immune components and stromal components, respectively, and finally got the overlapped DEGs. Through protein-protein interaction (PPI) network and univariate Cox regression analysis based on shared DEGs, we screened out and validated the TME-related genes. Focusing on this gene, we analyzed the expression and prognostic value of this gene, and investigated its relationship with immune cells by correlation analysis, single cell analysis, immunohistochemistry and immunofluorescence analysis. RESULTS: Through a series analysis, we found that the proportion of immune and stromal components was an important prognostic factor, and screened out a key gene, LPAR5, which was highly correlated with prognosis and metastasis. And the expression of LPAR5 was positively correlated with immune cells, especially macrophages, indicating LPAR5(+) macrophages played an important role in tumor microenvironment of osteosarcoma. Meanwhile, the genes in LPAR5 high expression group were enriched in immune-related activities and pathways, and differentially expressed genes between LPAR5(+) macrophages and LPAR5(-) macrophages were enriched in the biological processes associated with phagocytosis and antigen presentation. What’ more, we found that LPAR5 was mainly expressed in TME, and high LPAR5 expression predicting a better prognosis. CONCLUSION: We identified a TME-related gene, LPAR5, which is a promising indicator for TME remodeling in osteosarcoma. Particularly, LPAR5(+) macrophages might have great potential to be a prognostic factor and therapeutic target for osteosarcoma. Frontiers Media S.A. 2022-12-15 /pmc/articles/PMC9797602/ /pubmed/36591220 http://dx.doi.org/10.3389/fimmu.2022.909932 Text en Copyright © 2022 He, Zhou, Huang, Qu, Wang, Pei, Zhang, Chen and You 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 Immunology
He, Yi
Zhou, Haiting
Huang, Xiaojian
Qu, Yunkun
Wang, Yingguang
Pei, Wenbin
Zhang, Rui
Chen, Sheng
You, Hongbo
Infiltration of LPAR5(+) macrophages in osteosarcoma tumor microenvironment predicts better outcomes
title Infiltration of LPAR5(+) macrophages in osteosarcoma tumor microenvironment predicts better outcomes
title_full Infiltration of LPAR5(+) macrophages in osteosarcoma tumor microenvironment predicts better outcomes
title_fullStr Infiltration of LPAR5(+) macrophages in osteosarcoma tumor microenvironment predicts better outcomes
title_full_unstemmed Infiltration of LPAR5(+) macrophages in osteosarcoma tumor microenvironment predicts better outcomes
title_short Infiltration of LPAR5(+) macrophages in osteosarcoma tumor microenvironment predicts better outcomes
title_sort infiltration of lpar5(+) macrophages in osteosarcoma tumor microenvironment predicts better outcomes
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9797602/
https://www.ncbi.nlm.nih.gov/pubmed/36591220
http://dx.doi.org/10.3389/fimmu.2022.909932
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