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Prognostic analysis of uveal melanoma based on the characteristic genes of M2-type macrophages in the tumor microenvironment

Uveal melanoma arises from stromal melanocytes and is the most prevalent primary intraocular tumor in adults. It poses a significant diagnostic and therapeutic challenge due to its high malignancy and early onset of metastases. In recent years, there has been a growing interest in the role of divers...

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Autores principales: Fu, Li, Huang, Qun, Wu, Yongfeng, Chen, Diang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10334534/
https://www.ncbi.nlm.nih.gov/pubmed/37434120
http://dx.doi.org/10.1186/s12859-023-05396-9
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author Fu, Li
Huang, Qun
Wu, Yongfeng
Chen, Diang
author_facet Fu, Li
Huang, Qun
Wu, Yongfeng
Chen, Diang
author_sort Fu, Li
collection PubMed
description Uveal melanoma arises from stromal melanocytes and is the most prevalent primary intraocular tumor in adults. It poses a significant diagnostic and therapeutic challenge due to its high malignancy and early onset of metastases. In recent years, there has been a growing interest in the role of diverse immune cells in tumor cell development and metastasis. Using The Cancer Genome Atlas and the gene expression omnibus databases, and the CIBERSORT method, we investigated the topography of intra-tumor immune infiltration in uveal melanoma in this research. We evaluated the prognosis of uveal melanoma patients using the M2 macrophage immune cell infiltration score in conjunction with clinical tumor patient data. We built a prognostic model based on the distinctive genes of M2 macrophages and combined it with patients’ clinical data in the database; we ran a survival prognostic analysis to authenticate the model’s accuracy. The functional study revealed the importance of macrophage-associated genes in the development of uveal melanoma. Moreover, the reliability of our prediction model was verified by combining tumor mutational load, immune checkpoint, and drug sensitivity, respectively. Our study provides a reference for the follow-up study of uveal melanoma. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12859-023-05396-9.
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spelling pubmed-103345342023-07-12 Prognostic analysis of uveal melanoma based on the characteristic genes of M2-type macrophages in the tumor microenvironment Fu, Li Huang, Qun Wu, Yongfeng Chen, Diang BMC Bioinformatics Research Uveal melanoma arises from stromal melanocytes and is the most prevalent primary intraocular tumor in adults. It poses a significant diagnostic and therapeutic challenge due to its high malignancy and early onset of metastases. In recent years, there has been a growing interest in the role of diverse immune cells in tumor cell development and metastasis. Using The Cancer Genome Atlas and the gene expression omnibus databases, and the CIBERSORT method, we investigated the topography of intra-tumor immune infiltration in uveal melanoma in this research. We evaluated the prognosis of uveal melanoma patients using the M2 macrophage immune cell infiltration score in conjunction with clinical tumor patient data. We built a prognostic model based on the distinctive genes of M2 macrophages and combined it with patients’ clinical data in the database; we ran a survival prognostic analysis to authenticate the model’s accuracy. The functional study revealed the importance of macrophage-associated genes in the development of uveal melanoma. Moreover, the reliability of our prediction model was verified by combining tumor mutational load, immune checkpoint, and drug sensitivity, respectively. Our study provides a reference for the follow-up study of uveal melanoma. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12859-023-05396-9. BioMed Central 2023-07-11 /pmc/articles/PMC10334534/ /pubmed/37434120 http://dx.doi.org/10.1186/s12859-023-05396-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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
Fu, Li
Huang, Qun
Wu, Yongfeng
Chen, Diang
Prognostic analysis of uveal melanoma based on the characteristic genes of M2-type macrophages in the tumor microenvironment
title Prognostic analysis of uveal melanoma based on the characteristic genes of M2-type macrophages in the tumor microenvironment
title_full Prognostic analysis of uveal melanoma based on the characteristic genes of M2-type macrophages in the tumor microenvironment
title_fullStr Prognostic analysis of uveal melanoma based on the characteristic genes of M2-type macrophages in the tumor microenvironment
title_full_unstemmed Prognostic analysis of uveal melanoma based on the characteristic genes of M2-type macrophages in the tumor microenvironment
title_short Prognostic analysis of uveal melanoma based on the characteristic genes of M2-type macrophages in the tumor microenvironment
title_sort prognostic analysis of uveal melanoma based on the characteristic genes of m2-type macrophages in the tumor microenvironment
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10334534/
https://www.ncbi.nlm.nih.gov/pubmed/37434120
http://dx.doi.org/10.1186/s12859-023-05396-9
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