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Prognostic and immunotherapeutic significance of mannose receptor C type II in 33 cancers: An integrated analysis
Background: The type 2 mannose receptor C (MRC2) is involved in tumor biological processes and plays a new role in the remodeling of the extracellular matrix turnover. Previous studies have demonstrated MRC2 expression profiling and prognostic relevance in some tumor types. However, the clinical and...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9519056/ https://www.ncbi.nlm.nih.gov/pubmed/36188226 http://dx.doi.org/10.3389/fmolb.2022.951636 |
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author | Zhao, Zhixun Yang, Yanwei Liu, Zheng Chen, Haipeng Guan, Xu Jiang, Zheng Yang, Ming Liu, Hengchang Chen, Tianli Gao, Yibo Zou, Shuangmei Wang, Xishan |
author_facet | Zhao, Zhixun Yang, Yanwei Liu, Zheng Chen, Haipeng Guan, Xu Jiang, Zheng Yang, Ming Liu, Hengchang Chen, Tianli Gao, Yibo Zou, Shuangmei Wang, Xishan |
author_sort | Zhao, Zhixun |
collection | PubMed |
description | Background: The type 2 mannose receptor C (MRC2) is involved in tumor biological processes and plays a new role in the remodeling of the extracellular matrix turnover. Previous studies have demonstrated MRC2 expression profiling and prognostic relevance in some tumor types. However, the clinical and immunotherapeutic value of MRC2 in pan-cancers remains controversial. Our study aimed to evaluate MRC2 expression pattern, clinical characteristics and prognostic significance in 33 cancers, explore the relationship between MRC2 and immune-related characteristics, and assess the prediction of MRC2 for the immunotherapeutic response. Methods: Transcriptional and clinical data of 33 cancers were downloaded from The Cancer Genome Atlas database (TCGA) database and two independent immunotherapeutic cohorts were obtained from GSE67501 and the IMvigor210 study. Next, patients stratified by MRC2 expression levels were displayed by Kaplan-Meier plot to compare prognosis-related indexes. Meanwhile, immune infiltrates of different cancers were estimated by tumor immune estimation resources (TIMER) and CIBERSORT. The ESTIMATE algorithm was used to estimate the immune and stromal scores in tumor tissues. MRC2 expression and immunological modulators, including immune inhibitors, immune stimulators, and MHC molecules, were screened through the TISIDB portal. Gene-set enrichment analysis analyses were performed to explore the underlying biological process of MRC2 across different cancers. The immunotherapeutic response prediction was performed in two independent cohorts (GSE78220: metastatic melanoma with pembrolizumab treatment and IMvigor210: advanced urothelial cancer with atezolizumab intervention). Results: MRC2 is expressed differently in many cancers and has been shown to have potential prognostic predicting significance. MRC2 was significantly associated with immune cell infiltration, immune modulators, and immunotherapeutic markers. Notably, the immunotherapeutic response group was associated with lower MRC2 expression in metastatic melanoma and advanced urothelial carcinoma cohort. Conclusion: This study demonstrated that MRC2 could be a prognostic indicator for certain cancer and is critical for tumor immune microenvironments. MRC2 expression level may influence and predict immune checkpoint blockade response as a potential indicator. |
format | Online Article Text |
id | pubmed-9519056 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95190562022-09-29 Prognostic and immunotherapeutic significance of mannose receptor C type II in 33 cancers: An integrated analysis Zhao, Zhixun Yang, Yanwei Liu, Zheng Chen, Haipeng Guan, Xu Jiang, Zheng Yang, Ming Liu, Hengchang Chen, Tianli Gao, Yibo Zou, Shuangmei Wang, Xishan Front Mol Biosci Molecular Biosciences Background: The type 2 mannose receptor C (MRC2) is involved in tumor biological processes and plays a new role in the remodeling of the extracellular matrix turnover. Previous studies have demonstrated MRC2 expression profiling and prognostic relevance in some tumor types. However, the clinical and immunotherapeutic value of MRC2 in pan-cancers remains controversial. Our study aimed to evaluate MRC2 expression pattern, clinical characteristics and prognostic significance in 33 cancers, explore the relationship between MRC2 and immune-related characteristics, and assess the prediction of MRC2 for the immunotherapeutic response. Methods: Transcriptional and clinical data of 33 cancers were downloaded from The Cancer Genome Atlas database (TCGA) database and two independent immunotherapeutic cohorts were obtained from GSE67501 and the IMvigor210 study. Next, patients stratified by MRC2 expression levels were displayed by Kaplan-Meier plot to compare prognosis-related indexes. Meanwhile, immune infiltrates of different cancers were estimated by tumor immune estimation resources (TIMER) and CIBERSORT. The ESTIMATE algorithm was used to estimate the immune and stromal scores in tumor tissues. MRC2 expression and immunological modulators, including immune inhibitors, immune stimulators, and MHC molecules, were screened through the TISIDB portal. Gene-set enrichment analysis analyses were performed to explore the underlying biological process of MRC2 across different cancers. The immunotherapeutic response prediction was performed in two independent cohorts (GSE78220: metastatic melanoma with pembrolizumab treatment and IMvigor210: advanced urothelial cancer with atezolizumab intervention). Results: MRC2 is expressed differently in many cancers and has been shown to have potential prognostic predicting significance. MRC2 was significantly associated with immune cell infiltration, immune modulators, and immunotherapeutic markers. Notably, the immunotherapeutic response group was associated with lower MRC2 expression in metastatic melanoma and advanced urothelial carcinoma cohort. Conclusion: This study demonstrated that MRC2 could be a prognostic indicator for certain cancer and is critical for tumor immune microenvironments. MRC2 expression level may influence and predict immune checkpoint blockade response as a potential indicator. Frontiers Media S.A. 2022-09-14 /pmc/articles/PMC9519056/ /pubmed/36188226 http://dx.doi.org/10.3389/fmolb.2022.951636 Text en Copyright © 2022 Zhao, Yang, Liu, Chen, Guan, Jiang, Yang, Liu, Chen, Gao, Zou and Wang. 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 Zhao, Zhixun Yang, Yanwei Liu, Zheng Chen, Haipeng Guan, Xu Jiang, Zheng Yang, Ming Liu, Hengchang Chen, Tianli Gao, Yibo Zou, Shuangmei Wang, Xishan Prognostic and immunotherapeutic significance of mannose receptor C type II in 33 cancers: An integrated analysis |
title | Prognostic and immunotherapeutic significance of mannose receptor C type II in 33 cancers: An integrated analysis |
title_full | Prognostic and immunotherapeutic significance of mannose receptor C type II in 33 cancers: An integrated analysis |
title_fullStr | Prognostic and immunotherapeutic significance of mannose receptor C type II in 33 cancers: An integrated analysis |
title_full_unstemmed | Prognostic and immunotherapeutic significance of mannose receptor C type II in 33 cancers: An integrated analysis |
title_short | Prognostic and immunotherapeutic significance of mannose receptor C type II in 33 cancers: An integrated analysis |
title_sort | prognostic and immunotherapeutic significance of mannose receptor c type ii in 33 cancers: an integrated analysis |
topic | Molecular Biosciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9519056/ https://www.ncbi.nlm.nih.gov/pubmed/36188226 http://dx.doi.org/10.3389/fmolb.2022.951636 |
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