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Identification of a prognostic model using cuproptosis-related genes in uveal melanoma

The most common intraocular malignancy in adults remains uveal melanoma (UVM), and those with metastatic disease have a poor outlook. Proliferation, angiogenesis, and metastasis of tumor cells can be triggered by cuproptosis, affecting the survival of cancer patients. Nonetheless, cuproptosis-relate...

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Autores principales: Chen, Yao, Chen, Xiaozhen, Wang, Xianggui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9468663/
https://www.ncbi.nlm.nih.gov/pubmed/36111345
http://dx.doi.org/10.3389/fcell.2022.973073
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author Chen, Yao
Chen, Xiaozhen
Wang, Xianggui
author_facet Chen, Yao
Chen, Xiaozhen
Wang, Xianggui
author_sort Chen, Yao
collection PubMed
description The most common intraocular malignancy in adults remains uveal melanoma (UVM), and those with metastatic disease have a poor outlook. Proliferation, angiogenesis, and metastasis of tumor cells can be triggered by cuproptosis, affecting the survival of cancer patients. Nonetheless, cuproptosis-related genes (CRGs) have not been identified in UVM. In this study, we analyzed 10 CRGs in 80 patients with UVM in the Cancer Genome Atlas (TCGA) database regarding the alterations of the genes including copy number variation and methylation. We further constructed a prognostic gene model using these CRGs and built the risk score formula. Univariate and multivariate Cox regression was applied to validate the risk score as an independent prognostic factor. The prognostic model was validated using 63 UVM samples from the GSE22138 cohort, an independent validation data set. Based on the risk scores for 80 patients with UVM from TCGA, we categorized the patients into high- and low-risk groups. Differentially expressed genes (DEGs) between groups were enriched in allograft rejection, hypoxia, glycolysis, TNFα signaling via NF-κB, and interferon-γ responses via Gene set enrichment analysis (GSEA). CD8 T cells and exhausted T cells were notably enriched in the high-risk group. In conclusion, the alteration of CRGs is related to patients with UVM, and the constructed CRG-related model may be helpful to predict the prognosis of such patients.
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spelling pubmed-94686632022-09-14 Identification of a prognostic model using cuproptosis-related genes in uveal melanoma Chen, Yao Chen, Xiaozhen Wang, Xianggui Front Cell Dev Biol Cell and Developmental Biology The most common intraocular malignancy in adults remains uveal melanoma (UVM), and those with metastatic disease have a poor outlook. Proliferation, angiogenesis, and metastasis of tumor cells can be triggered by cuproptosis, affecting the survival of cancer patients. Nonetheless, cuproptosis-related genes (CRGs) have not been identified in UVM. In this study, we analyzed 10 CRGs in 80 patients with UVM in the Cancer Genome Atlas (TCGA) database regarding the alterations of the genes including copy number variation and methylation. We further constructed a prognostic gene model using these CRGs and built the risk score formula. Univariate and multivariate Cox regression was applied to validate the risk score as an independent prognostic factor. The prognostic model was validated using 63 UVM samples from the GSE22138 cohort, an independent validation data set. Based on the risk scores for 80 patients with UVM from TCGA, we categorized the patients into high- and low-risk groups. Differentially expressed genes (DEGs) between groups were enriched in allograft rejection, hypoxia, glycolysis, TNFα signaling via NF-κB, and interferon-γ responses via Gene set enrichment analysis (GSEA). CD8 T cells and exhausted T cells were notably enriched in the high-risk group. In conclusion, the alteration of CRGs is related to patients with UVM, and the constructed CRG-related model may be helpful to predict the prognosis of such patients. Frontiers Media S.A. 2022-08-30 /pmc/articles/PMC9468663/ /pubmed/36111345 http://dx.doi.org/10.3389/fcell.2022.973073 Text en Copyright © 2022 Chen, Chen 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 Cell and Developmental Biology
Chen, Yao
Chen, Xiaozhen
Wang, Xianggui
Identification of a prognostic model using cuproptosis-related genes in uveal melanoma
title Identification of a prognostic model using cuproptosis-related genes in uveal melanoma
title_full Identification of a prognostic model using cuproptosis-related genes in uveal melanoma
title_fullStr Identification of a prognostic model using cuproptosis-related genes in uveal melanoma
title_full_unstemmed Identification of a prognostic model using cuproptosis-related genes in uveal melanoma
title_short Identification of a prognostic model using cuproptosis-related genes in uveal melanoma
title_sort identification of a prognostic model using cuproptosis-related genes in uveal melanoma
topic Cell and Developmental Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9468663/
https://www.ncbi.nlm.nih.gov/pubmed/36111345
http://dx.doi.org/10.3389/fcell.2022.973073
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