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Establishment of a prognostic signature for lung adenocarcinoma using cuproptosis-related lncRNAs
OBJECTIVE: To establish a prognostic signature for lung adenocarcinoma (LUAD) based on cuproptosis-related long non-coding RNAs (lncRNAs), and to study the immune-related functions of LUAD. METHODS: First, transcriptome data and clinical data related to LUAD were downloaded from the Cancer Genome At...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9990240/ https://www.ncbi.nlm.nih.gov/pubmed/36879187 http://dx.doi.org/10.1186/s12859-023-05192-5 |
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author | Yalimaimaiti, Saiyidan Liang, Xiaoqiao Zhao, Haili Dou, Hong Liu, Wei Yang, Ying Ning, Li |
author_facet | Yalimaimaiti, Saiyidan Liang, Xiaoqiao Zhao, Haili Dou, Hong Liu, Wei Yang, Ying Ning, Li |
author_sort | Yalimaimaiti, Saiyidan |
collection | PubMed |
description | OBJECTIVE: To establish a prognostic signature for lung adenocarcinoma (LUAD) based on cuproptosis-related long non-coding RNAs (lncRNAs), and to study the immune-related functions of LUAD. METHODS: First, transcriptome data and clinical data related to LUAD were downloaded from the Cancer Genome Atlas (TCGA), and cuproptosis-related genes were analyzed to identify cuproptosis-related lncRNAs. Univariate COX analysis, least absolute shrinkage and selection operator (LASSO) analysis, and multivariate COX analysis were performed to analyze the cuproptosis-related lncRNAs, and a prognostic signature was established. Second, univariate COX analysis and multivariate COX analysis were performed for independent prognostic analyses. Receiver operating characteristic (ROC) curves, C index, survival curve, nomogram, and principal component analysis (PCA) were performed to evaluate the results of the independent prognostic analyses. Finally, gene enrichment analyses and immune-related function analyses were also carried out. RESULTS: (1) A total of 1,297 cuproptosis-related lncRNAs were screened. (2) A LUAD prognostic signature containing 13 cuproptosis-related lncRNAs was constructed (NIFK-AS1, AC026355.2, SEPSECS-AS1, AL360270.1, AC010999.2, ABCA9-AS1, AC032011.1, AL162632.3, LINC02518, LINC0059, AL031600.2, AP000346.1, AC012409.4). (3) The area under the multi-indicator ROC curves at 1, 3, and 5 years were AUC1 = 0.742, AUC2 = 0.708, and AUC3 = 0.762, respectively. The risk score of the prognostic signature could be used as an independent prognostic factor that was independent of other clinical indicators. (4) The results of gene enrichment analyses showed that 13 biomarkers were primarily related to amoebiasis, the wnt signaling pathway, hematopoietic cell lineage. The ssGSEA volcano map showed significant differences between high- and low-risk groups in immune-related functions, such as human leukocyte antigen (HLA), Type_II_IFN_Reponse, MHC_class_I, and Parainflammation (P < 0.001). CONCLUSIONS: Thirteen cuproptosis-related lncRNAs may be clinical molecular biomarkers for the prognosis of LUAD. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12859-023-05192-5 |
format | Online Article Text |
id | pubmed-9990240 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-99902402023-03-08 Establishment of a prognostic signature for lung adenocarcinoma using cuproptosis-related lncRNAs Yalimaimaiti, Saiyidan Liang, Xiaoqiao Zhao, Haili Dou, Hong Liu, Wei Yang, Ying Ning, Li BMC Bioinformatics Research OBJECTIVE: To establish a prognostic signature for lung adenocarcinoma (LUAD) based on cuproptosis-related long non-coding RNAs (lncRNAs), and to study the immune-related functions of LUAD. METHODS: First, transcriptome data and clinical data related to LUAD were downloaded from the Cancer Genome Atlas (TCGA), and cuproptosis-related genes were analyzed to identify cuproptosis-related lncRNAs. Univariate COX analysis, least absolute shrinkage and selection operator (LASSO) analysis, and multivariate COX analysis were performed to analyze the cuproptosis-related lncRNAs, and a prognostic signature was established. Second, univariate COX analysis and multivariate COX analysis were performed for independent prognostic analyses. Receiver operating characteristic (ROC) curves, C index, survival curve, nomogram, and principal component analysis (PCA) were performed to evaluate the results of the independent prognostic analyses. Finally, gene enrichment analyses and immune-related function analyses were also carried out. RESULTS: (1) A total of 1,297 cuproptosis-related lncRNAs were screened. (2) A LUAD prognostic signature containing 13 cuproptosis-related lncRNAs was constructed (NIFK-AS1, AC026355.2, SEPSECS-AS1, AL360270.1, AC010999.2, ABCA9-AS1, AC032011.1, AL162632.3, LINC02518, LINC0059, AL031600.2, AP000346.1, AC012409.4). (3) The area under the multi-indicator ROC curves at 1, 3, and 5 years were AUC1 = 0.742, AUC2 = 0.708, and AUC3 = 0.762, respectively. The risk score of the prognostic signature could be used as an independent prognostic factor that was independent of other clinical indicators. (4) The results of gene enrichment analyses showed that 13 biomarkers were primarily related to amoebiasis, the wnt signaling pathway, hematopoietic cell lineage. The ssGSEA volcano map showed significant differences between high- and low-risk groups in immune-related functions, such as human leukocyte antigen (HLA), Type_II_IFN_Reponse, MHC_class_I, and Parainflammation (P < 0.001). CONCLUSIONS: Thirteen cuproptosis-related lncRNAs may be clinical molecular biomarkers for the prognosis of LUAD. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12859-023-05192-5 BioMed Central 2023-03-06 /pmc/articles/PMC9990240/ /pubmed/36879187 http://dx.doi.org/10.1186/s12859-023-05192-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 Yalimaimaiti, Saiyidan Liang, Xiaoqiao Zhao, Haili Dou, Hong Liu, Wei Yang, Ying Ning, Li Establishment of a prognostic signature for lung adenocarcinoma using cuproptosis-related lncRNAs |
title | Establishment of a prognostic signature for lung adenocarcinoma using cuproptosis-related lncRNAs |
title_full | Establishment of a prognostic signature for lung adenocarcinoma using cuproptosis-related lncRNAs |
title_fullStr | Establishment of a prognostic signature for lung adenocarcinoma using cuproptosis-related lncRNAs |
title_full_unstemmed | Establishment of a prognostic signature for lung adenocarcinoma using cuproptosis-related lncRNAs |
title_short | Establishment of a prognostic signature for lung adenocarcinoma using cuproptosis-related lncRNAs |
title_sort | establishment of a prognostic signature for lung adenocarcinoma using cuproptosis-related lncrnas |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9990240/ https://www.ncbi.nlm.nih.gov/pubmed/36879187 http://dx.doi.org/10.1186/s12859-023-05192-5 |
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