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Identification of MAP3K15 as a potential prognostic biomarker and correlation with immune infiltrates in osteosarcoma
BACKGROUND: Osteosarcoma (OS) is a type of primary malignant tumor, and increasing evidence shows the clinical benefits of immunotherapy in treating OS. However, the lack of comprehensive studies on the complex OS immune microenvironment hinders the application of immunotherapy. Thus, this study aim...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8350644/ https://www.ncbi.nlm.nih.gov/pubmed/34430620 http://dx.doi.org/10.21037/atm-21-3181 |
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author | Chen, Zhuning Kong, Haoran Cai, Zhaopeng Chen, Keng Wu, Boyang Li, Haonan Wang, Peng Wu, Yanfeng Shen, Huiyong |
author_facet | Chen, Zhuning Kong, Haoran Cai, Zhaopeng Chen, Keng Wu, Boyang Li, Haonan Wang, Peng Wu, Yanfeng Shen, Huiyong |
author_sort | Chen, Zhuning |
collection | PubMed |
description | BACKGROUND: Osteosarcoma (OS) is a type of primary malignant tumor, and increasing evidence shows the clinical benefits of immunotherapy in treating OS. However, the lack of comprehensive studies on the complex OS immune microenvironment hinders the application of immunotherapy. Thus, this study aimed to systematically explore the immune characteristics of OS and identify novel biomarkers for OS treatment. METHODS: We systematically studied the immune score and proportions of infiltrating immune cells in OS in the Therapeutically Applicable Research to Generate Effective Treatments (TARGET) and Gene Expression Omnibus (GEO) databases using the ESTIMATE and CIBERSORT algorithms. Differential expression and functional analyses were used to identify dysregulated genes and explore their functions. Survival and Cox regression analyses were applied to establish an immune-related prognostic signature. Additionally, qPCR and immunohistochemistry were performed to validate the results. RESULTS: A total of 103 differentially expressed immune genes (DEIGs) were found in the TARGET-OS and GSE39058 databases, and these DEIGs were mainly enriched in leukocyte proliferation, leukocyte differentiation, osteoclast differentiation, natural killer (NK) cell-mediated cytotoxicity, and the adaptive immune system. A predictive signature was constructed based on the survival analysis, with an area under the receiver operating characteristic (ROC) curve (AUC) of 0.65. Moreover, we found that mitogen-activated protein kinase kinase kinase 15 (MAP3K15) can predict the prognosis of patients with OS and is closely related to CD4(+) T cells and macrophages. The OS patients with high MAP3K15 expression had a significantly poorer prognosis. CONCLUSIONS: Our study found that MAP3K15, whose expression level is closely related to immune activity in tumors, is a critical immune-related biomarker, and our findings may provide a basis for OS immunotherapy. |
format | Online Article Text |
id | pubmed-8350644 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | AME Publishing Company |
record_format | MEDLINE/PubMed |
spelling | pubmed-83506442021-08-23 Identification of MAP3K15 as a potential prognostic biomarker and correlation with immune infiltrates in osteosarcoma Chen, Zhuning Kong, Haoran Cai, Zhaopeng Chen, Keng Wu, Boyang Li, Haonan Wang, Peng Wu, Yanfeng Shen, Huiyong Ann Transl Med Original Article BACKGROUND: Osteosarcoma (OS) is a type of primary malignant tumor, and increasing evidence shows the clinical benefits of immunotherapy in treating OS. However, the lack of comprehensive studies on the complex OS immune microenvironment hinders the application of immunotherapy. Thus, this study aimed to systematically explore the immune characteristics of OS and identify novel biomarkers for OS treatment. METHODS: We systematically studied the immune score and proportions of infiltrating immune cells in OS in the Therapeutically Applicable Research to Generate Effective Treatments (TARGET) and Gene Expression Omnibus (GEO) databases using the ESTIMATE and CIBERSORT algorithms. Differential expression and functional analyses were used to identify dysregulated genes and explore their functions. Survival and Cox regression analyses were applied to establish an immune-related prognostic signature. Additionally, qPCR and immunohistochemistry were performed to validate the results. RESULTS: A total of 103 differentially expressed immune genes (DEIGs) were found in the TARGET-OS and GSE39058 databases, and these DEIGs were mainly enriched in leukocyte proliferation, leukocyte differentiation, osteoclast differentiation, natural killer (NK) cell-mediated cytotoxicity, and the adaptive immune system. A predictive signature was constructed based on the survival analysis, with an area under the receiver operating characteristic (ROC) curve (AUC) of 0.65. Moreover, we found that mitogen-activated protein kinase kinase kinase 15 (MAP3K15) can predict the prognosis of patients with OS and is closely related to CD4(+) T cells and macrophages. The OS patients with high MAP3K15 expression had a significantly poorer prognosis. CONCLUSIONS: Our study found that MAP3K15, whose expression level is closely related to immune activity in tumors, is a critical immune-related biomarker, and our findings may provide a basis for OS immunotherapy. AME Publishing Company 2021-07 /pmc/articles/PMC8350644/ /pubmed/34430620 http://dx.doi.org/10.21037/atm-21-3181 Text en 2021 Annals of Translational Medicine. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Original Article Chen, Zhuning Kong, Haoran Cai, Zhaopeng Chen, Keng Wu, Boyang Li, Haonan Wang, Peng Wu, Yanfeng Shen, Huiyong Identification of MAP3K15 as a potential prognostic biomarker and correlation with immune infiltrates in osteosarcoma |
title | Identification of MAP3K15 as a potential prognostic biomarker and correlation with immune infiltrates in osteosarcoma |
title_full | Identification of MAP3K15 as a potential prognostic biomarker and correlation with immune infiltrates in osteosarcoma |
title_fullStr | Identification of MAP3K15 as a potential prognostic biomarker and correlation with immune infiltrates in osteosarcoma |
title_full_unstemmed | Identification of MAP3K15 as a potential prognostic biomarker and correlation with immune infiltrates in osteosarcoma |
title_short | Identification of MAP3K15 as a potential prognostic biomarker and correlation with immune infiltrates in osteosarcoma |
title_sort | identification of map3k15 as a potential prognostic biomarker and correlation with immune infiltrates in osteosarcoma |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8350644/ https://www.ncbi.nlm.nih.gov/pubmed/34430620 http://dx.doi.org/10.21037/atm-21-3181 |
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