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Identification and validation of a novel cuproptosis-related signature as a prognostic model for lung adenocarcinoma

BACKGROUND: Cuproptosis is a novel form of copper-induced cell death that targets lipoylated tricarboxylic acid (TCA) cycle proteins. However, its prognostic role in lung adenocarcinoma (LUAD) remains unclear. This study aimed to establish a cuproptosis-related prognostic signature for patients with...

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Autores principales: Chen, Yuqiao, Tang, Lu, Huang, Wentao, Zhang, Youyu, Abisola, Fakolade Hannah, Li, Linfeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9637654/
https://www.ncbi.nlm.nih.gov/pubmed/36353226
http://dx.doi.org/10.3389/fendo.2022.963220
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author Chen, Yuqiao
Tang, Lu
Huang, Wentao
Zhang, Youyu
Abisola, Fakolade Hannah
Li, Linfeng
author_facet Chen, Yuqiao
Tang, Lu
Huang, Wentao
Zhang, Youyu
Abisola, Fakolade Hannah
Li, Linfeng
author_sort Chen, Yuqiao
collection PubMed
description BACKGROUND: Cuproptosis is a novel form of copper-induced cell death that targets lipoylated tricarboxylic acid (TCA) cycle proteins. However, its prognostic role in lung adenocarcinoma (LUAD) remains unclear. This study aimed to establish a cuproptosis-related prognostic signature for patients with LUAD. METHODS: Transcriptome data of LUAD samples were extracted from the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. The prognostic value of cuproptosis-related genes (CRGs) was investigated using Cox regression analysis to develop a cuproptosis-related prognostic model. Kyoto Encyclopedia of Genes and Genomes (KEGG), gene ontology (GO) and gene set variation analysis (GSVA) were conducted to characterize different biological activities or pathways between high- or low-CRG groups. The expression pattern and prognostic values of CRGs were validated in 37 paired tumor–normal samples using quantitative PCR. Furthermore, in vitro experiments were performed to investigate the relationship between cuproptosis and CRG expression and to explore the function of target genes in cuproptosis. RESULTS: Among the 36 CRGs, 17 genes were upregulated, and 3 genes were downregulated in LUAD. A total of 385 CRGs were identified using Pearson correlation analysis. A cuproptosis-related signature was constructed using least absolute shrinkage and selection operator (LASSO) analysis. The prognostic value of the cuproptosis-related signature was validated in six external validation cohorts and in LUAD specimens from our facility. Patients in the high-risk group based on the CRG signature score had shorter overall survival than those in the low-risk group in both the datasets and clinical specimens. In vitro experiments revealed that the expression of BARX1, GFRA3, and KHDRBS2 was upregulated after cuproptosis was induced by elesclomol–CuCL(2), whereas the upregulation was suppressed on pretreatment with tetrathiomolybdate (TTM), a chelator of copper. Further, the cell proliferation assay revealed that the BARX1 and GFRA3 deficiency facilities the cuproptosis induced by elesclomol–CuCL(2). CONCLUSION: This study established a new CRG signature that can be used to predict the OS of LUAD patients. Moreover, the knockdown of BARX1 and GFRA3 could increase the sensitivity of LUAD cells to the cuproptosis.
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spelling pubmed-96376542022-11-08 Identification and validation of a novel cuproptosis-related signature as a prognostic model for lung adenocarcinoma Chen, Yuqiao Tang, Lu Huang, Wentao Zhang, Youyu Abisola, Fakolade Hannah Li, Linfeng Front Endocrinol (Lausanne) Endocrinology BACKGROUND: Cuproptosis is a novel form of copper-induced cell death that targets lipoylated tricarboxylic acid (TCA) cycle proteins. However, its prognostic role in lung adenocarcinoma (LUAD) remains unclear. This study aimed to establish a cuproptosis-related prognostic signature for patients with LUAD. METHODS: Transcriptome data of LUAD samples were extracted from the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. The prognostic value of cuproptosis-related genes (CRGs) was investigated using Cox regression analysis to develop a cuproptosis-related prognostic model. Kyoto Encyclopedia of Genes and Genomes (KEGG), gene ontology (GO) and gene set variation analysis (GSVA) were conducted to characterize different biological activities or pathways between high- or low-CRG groups. The expression pattern and prognostic values of CRGs were validated in 37 paired tumor–normal samples using quantitative PCR. Furthermore, in vitro experiments were performed to investigate the relationship between cuproptosis and CRG expression and to explore the function of target genes in cuproptosis. RESULTS: Among the 36 CRGs, 17 genes were upregulated, and 3 genes were downregulated in LUAD. A total of 385 CRGs were identified using Pearson correlation analysis. A cuproptosis-related signature was constructed using least absolute shrinkage and selection operator (LASSO) analysis. The prognostic value of the cuproptosis-related signature was validated in six external validation cohorts and in LUAD specimens from our facility. Patients in the high-risk group based on the CRG signature score had shorter overall survival than those in the low-risk group in both the datasets and clinical specimens. In vitro experiments revealed that the expression of BARX1, GFRA3, and KHDRBS2 was upregulated after cuproptosis was induced by elesclomol–CuCL(2), whereas the upregulation was suppressed on pretreatment with tetrathiomolybdate (TTM), a chelator of copper. Further, the cell proliferation assay revealed that the BARX1 and GFRA3 deficiency facilities the cuproptosis induced by elesclomol–CuCL(2). CONCLUSION: This study established a new CRG signature that can be used to predict the OS of LUAD patients. Moreover, the knockdown of BARX1 and GFRA3 could increase the sensitivity of LUAD cells to the cuproptosis. Frontiers Media S.A. 2022-10-24 /pmc/articles/PMC9637654/ /pubmed/36353226 http://dx.doi.org/10.3389/fendo.2022.963220 Text en Copyright © 2022 Chen, Tang, Huang, Zhang, Abisola and Li 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 Endocrinology
Chen, Yuqiao
Tang, Lu
Huang, Wentao
Zhang, Youyu
Abisola, Fakolade Hannah
Li, Linfeng
Identification and validation of a novel cuproptosis-related signature as a prognostic model for lung adenocarcinoma
title Identification and validation of a novel cuproptosis-related signature as a prognostic model for lung adenocarcinoma
title_full Identification and validation of a novel cuproptosis-related signature as a prognostic model for lung adenocarcinoma
title_fullStr Identification and validation of a novel cuproptosis-related signature as a prognostic model for lung adenocarcinoma
title_full_unstemmed Identification and validation of a novel cuproptosis-related signature as a prognostic model for lung adenocarcinoma
title_short Identification and validation of a novel cuproptosis-related signature as a prognostic model for lung adenocarcinoma
title_sort identification and validation of a novel cuproptosis-related signature as a prognostic model for lung adenocarcinoma
topic Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9637654/
https://www.ncbi.nlm.nih.gov/pubmed/36353226
http://dx.doi.org/10.3389/fendo.2022.963220
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