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A cuproptosis-related lncRNA signature for predicting prognosis and immunotherapy response of lung adenocarcinoma

BACKGROUND: Copper-induced cell death (cuproptosis) is a new regulatory cell death mechanism. Long noncoding RNAs (lncRNAs) are related to tumor immunity and metastasis. However, the correlation of cuproptosis-related lncRNAs with the immunotherapy response and prognosis of lung adenocarcinoma (LUAD...

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Autores principales: Yu, Sheng, Tang, Lingxue, Zhang, Qianqian, Li, Wen, Yao, Senbang, Cai, Yinlian, Cheng, Huaidong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10364405/
https://www.ncbi.nlm.nih.gov/pubmed/37482612
http://dx.doi.org/10.1186/s41065-023-00293-w
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author Yu, Sheng
Tang, Lingxue
Zhang, Qianqian
Li, Wen
Yao, Senbang
Cai, Yinlian
Cheng, Huaidong
author_facet Yu, Sheng
Tang, Lingxue
Zhang, Qianqian
Li, Wen
Yao, Senbang
Cai, Yinlian
Cheng, Huaidong
author_sort Yu, Sheng
collection PubMed
description BACKGROUND: Copper-induced cell death (cuproptosis) is a new regulatory cell death mechanism. Long noncoding RNAs (lncRNAs) are related to tumor immunity and metastasis. However, the correlation of cuproptosis-related lncRNAs with the immunotherapy response and prognosis of lung adenocarcinoma (LUAD) patients is not clear. METHODS: We obtained the clinical characteristics and transcriptome data from TCGA-LUAD dataset (containing 539 LUAD and 59 paracancerous tissues). By utilizing LASSO-penalized Cox regression analysis, we identified a prognostic signature composed of cuproptosis-related lncRNAs. This signature was then utilized to segregate patients into two different risk categories based on their respective risk scores. The identification of differentially expressed genes (DEGs) between high- and low-risk groups was carried out using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. We evaluated the immunotherapy response by analyzing tumor mutational burden (TMB), immunocyte infiltration and Tumor Immune Dysfunction and Exclusion (TIDE) web application. The "pRRophetic" R package was utilized to conduct further screening of potential therapeutic drugs for their sensitivity. RESULTS: We ultimately identified a prognostic risk signature that includes six cuproptosis-related lncRNAs (AP003778.1, AC011611.2, CRNDE, AL162632.3, LY86-AS1, and AC090948.1). Compared with clinical characteristics, the signature was significantly correlated with prognosis following the control of confounding variables (HR = 2.287, 95% CI = 1.648–3.174, p ˂ 0.001), and correctly predicted 1-, 2-, and 3-year overall survival (OS) rates (AUC value = 0.725, 0.715, and 0.662, respectively) in LUAD patients. In terms of prognosis, patients categorized as low risk exhibited more positive results in comparison to those in the high-risk group. The enrichment analysis showed that the two groups had different immune signaling pathways. Immunotherapy may offer a more appropriate treatment option for high-risk patients due to their higher TMB and lower TIDE scores. The higher risk score may demonstrate increased sensitivity to bexarotene, cisplatin, epothilone B, and vinorelbine. CONCLUSIONS: Based on cuproptosis-related lncRNAs, we constructed and validated a novel risk signature that may be used to predict immunotherapy efficacy and prognosis in LUAD patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s41065-023-00293-w.
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spelling pubmed-103644052023-07-25 A cuproptosis-related lncRNA signature for predicting prognosis and immunotherapy response of lung adenocarcinoma Yu, Sheng Tang, Lingxue Zhang, Qianqian Li, Wen Yao, Senbang Cai, Yinlian Cheng, Huaidong Hereditas Research BACKGROUND: Copper-induced cell death (cuproptosis) is a new regulatory cell death mechanism. Long noncoding RNAs (lncRNAs) are related to tumor immunity and metastasis. However, the correlation of cuproptosis-related lncRNAs with the immunotherapy response and prognosis of lung adenocarcinoma (LUAD) patients is not clear. METHODS: We obtained the clinical characteristics and transcriptome data from TCGA-LUAD dataset (containing 539 LUAD and 59 paracancerous tissues). By utilizing LASSO-penalized Cox regression analysis, we identified a prognostic signature composed of cuproptosis-related lncRNAs. This signature was then utilized to segregate patients into two different risk categories based on their respective risk scores. The identification of differentially expressed genes (DEGs) between high- and low-risk groups was carried out using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. We evaluated the immunotherapy response by analyzing tumor mutational burden (TMB), immunocyte infiltration and Tumor Immune Dysfunction and Exclusion (TIDE) web application. The "pRRophetic" R package was utilized to conduct further screening of potential therapeutic drugs for their sensitivity. RESULTS: We ultimately identified a prognostic risk signature that includes six cuproptosis-related lncRNAs (AP003778.1, AC011611.2, CRNDE, AL162632.3, LY86-AS1, and AC090948.1). Compared with clinical characteristics, the signature was significantly correlated with prognosis following the control of confounding variables (HR = 2.287, 95% CI = 1.648–3.174, p ˂ 0.001), and correctly predicted 1-, 2-, and 3-year overall survival (OS) rates (AUC value = 0.725, 0.715, and 0.662, respectively) in LUAD patients. In terms of prognosis, patients categorized as low risk exhibited more positive results in comparison to those in the high-risk group. The enrichment analysis showed that the two groups had different immune signaling pathways. Immunotherapy may offer a more appropriate treatment option for high-risk patients due to their higher TMB and lower TIDE scores. The higher risk score may demonstrate increased sensitivity to bexarotene, cisplatin, epothilone B, and vinorelbine. CONCLUSIONS: Based on cuproptosis-related lncRNAs, we constructed and validated a novel risk signature that may be used to predict immunotherapy efficacy and prognosis in LUAD patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s41065-023-00293-w. BioMed Central 2023-07-24 /pmc/articles/PMC10364405/ /pubmed/37482612 http://dx.doi.org/10.1186/s41065-023-00293-w 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
Yu, Sheng
Tang, Lingxue
Zhang, Qianqian
Li, Wen
Yao, Senbang
Cai, Yinlian
Cheng, Huaidong
A cuproptosis-related lncRNA signature for predicting prognosis and immunotherapy response of lung adenocarcinoma
title A cuproptosis-related lncRNA signature for predicting prognosis and immunotherapy response of lung adenocarcinoma
title_full A cuproptosis-related lncRNA signature for predicting prognosis and immunotherapy response of lung adenocarcinoma
title_fullStr A cuproptosis-related lncRNA signature for predicting prognosis and immunotherapy response of lung adenocarcinoma
title_full_unstemmed A cuproptosis-related lncRNA signature for predicting prognosis and immunotherapy response of lung adenocarcinoma
title_short A cuproptosis-related lncRNA signature for predicting prognosis and immunotherapy response of lung adenocarcinoma
title_sort cuproptosis-related lncrna signature for predicting prognosis and immunotherapy response of lung adenocarcinoma
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10364405/
https://www.ncbi.nlm.nih.gov/pubmed/37482612
http://dx.doi.org/10.1186/s41065-023-00293-w
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