Identification and Construction of a Predictive Immune-Related lncRNA Signature Model for Melanoma

Fang-Wei Li, Sheng-Kang Luo Department of Plastic and Reconstructive Surgery, Guangdong Second Provincial General Hospital, Guangzhou City, Guangdong Province, 510317, People’s Republic of ChinaCorrespondence: Sheng-Kang LuoDepartment of Plastic and Reconstructive Surgery, Guangdong Second Provincia...

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Autores principales: Li FW, Luo SK
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Lenguaje:EN
Publicado: Dove Medical Press 2021
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spelling oai:doaj.org-article:32770f2885cb44259bb7b41a726ae6ce2021-12-02T19:17:36ZIdentification and Construction of a Predictive Immune-Related lncRNA Signature Model for Melanoma1178-7074https://doaj.org/article/32770f2885cb44259bb7b41a726ae6ce2021-12-01T00:00:00Zhttps://www.dovepress.com/identification-and-construction-of-a-predictive-immune-related-lncrna--peer-reviewed-fulltext-article-IJGMhttps://doaj.org/toc/1178-7074Fang-Wei Li, Sheng-Kang Luo Department of Plastic and Reconstructive Surgery, Guangdong Second Provincial General Hospital, Guangzhou City, Guangdong Province, 510317, People’s Republic of ChinaCorrespondence: Sheng-Kang LuoDepartment of Plastic and Reconstructive Surgery, Guangdong Second Provincial General Hospital, 466 Middle Xin Gang Road, Guangzhou City, Guangdong Province, 510317, People’s Republic of ChinaTel +8615626045022Email luoshk@gd2h.org.cnObjective: The occurrence and development mechanisms of melanoma are related to immunity and lncRNAs. Therefore, it is necessary to systematically explore immune-related lncRNA profiles to help improve the prognosis of melanoma.Methods: We integrated immune-related lncRNAs and the basic clinical information of melanoma patients in the TCGA dataset. Immune-associated lncRNAs were selected by differential expression screening and enriched for analysis. After univariate and multivariate Cox regression analyses, a new prognostic indicator based on immune-associated lncRNAs was established.Results: Overall, differentially expressed immune-related lncRNAs were significantly associated with clinical outcomes in patients with melanoma. A prognostic model was then established based on 14 immune-associated lncRNAs (LRRC8C-DT, AC021188.1, MALINC1, CCR5AS, EIF2AK3-DT, AC022306.2, AC242842.1, AL034376.1, AL662844.4, AC009065.3, AC099811.3, AC125807.2, SPINT1-AS1 and AC009495.2). Melanoma patients in the high-risk group had worse overall survival than those in the low-risk group. The AUC of the risk score was 0.786.Conclusion: This study identified several clinically significant immune-related lncRNAs and established a relevant prognostic model, which provided a molecular analysis of immunity in melanoma and potential prognostic lncRNAs for melanoma.Keywords: lncRNA, immune-related, model, overall survival, melanomaLi FWLuo SKDove Medical Pressarticlelncrnaimmune-relatedmodeloverall survivalmelanomaMedicine (General)R5-920ENInternational Journal of General Medicine, Vol Volume 14, Pp 9227-9235 (2021)
institution DOAJ
collection DOAJ
language EN
topic lncrna
immune-related
model
overall survival
melanoma
Medicine (General)
R5-920
spellingShingle lncrna
immune-related
model
overall survival
melanoma
Medicine (General)
R5-920
Li FW
Luo SK
Identification and Construction of a Predictive Immune-Related lncRNA Signature Model for Melanoma
description Fang-Wei Li, Sheng-Kang Luo Department of Plastic and Reconstructive Surgery, Guangdong Second Provincial General Hospital, Guangzhou City, Guangdong Province, 510317, People’s Republic of ChinaCorrespondence: Sheng-Kang LuoDepartment of Plastic and Reconstructive Surgery, Guangdong Second Provincial General Hospital, 466 Middle Xin Gang Road, Guangzhou City, Guangdong Province, 510317, People’s Republic of ChinaTel +8615626045022Email luoshk@gd2h.org.cnObjective: The occurrence and development mechanisms of melanoma are related to immunity and lncRNAs. Therefore, it is necessary to systematically explore immune-related lncRNA profiles to help improve the prognosis of melanoma.Methods: We integrated immune-related lncRNAs and the basic clinical information of melanoma patients in the TCGA dataset. Immune-associated lncRNAs were selected by differential expression screening and enriched for analysis. After univariate and multivariate Cox regression analyses, a new prognostic indicator based on immune-associated lncRNAs was established.Results: Overall, differentially expressed immune-related lncRNAs were significantly associated with clinical outcomes in patients with melanoma. A prognostic model was then established based on 14 immune-associated lncRNAs (LRRC8C-DT, AC021188.1, MALINC1, CCR5AS, EIF2AK3-DT, AC022306.2, AC242842.1, AL034376.1, AL662844.4, AC009065.3, AC099811.3, AC125807.2, SPINT1-AS1 and AC009495.2). Melanoma patients in the high-risk group had worse overall survival than those in the low-risk group. The AUC of the risk score was 0.786.Conclusion: This study identified several clinically significant immune-related lncRNAs and established a relevant prognostic model, which provided a molecular analysis of immunity in melanoma and potential prognostic lncRNAs for melanoma.Keywords: lncRNA, immune-related, model, overall survival, melanoma
format article
author Li FW
Luo SK
author_facet Li FW
Luo SK
author_sort Li FW
title Identification and Construction of a Predictive Immune-Related lncRNA Signature Model for Melanoma
title_short Identification and Construction of a Predictive Immune-Related lncRNA Signature Model for Melanoma
title_full Identification and Construction of a Predictive Immune-Related lncRNA Signature Model for Melanoma
title_fullStr Identification and Construction of a Predictive Immune-Related lncRNA Signature Model for Melanoma
title_full_unstemmed Identification and Construction of a Predictive Immune-Related lncRNA Signature Model for Melanoma
title_sort identification and construction of a predictive immune-related lncrna signature model for melanoma
publisher Dove Medical Press
publishDate 2021
url https://doaj.org/article/32770f2885cb44259bb7b41a726ae6ce
work_keys_str_mv AT lifw identificationandconstructionofapredictiveimmunerelatedlncrnasignaturemodelformelanoma
AT luosk identificationandconstructionofapredictiveimmunerelatedlncrnasignaturemodelformelanoma
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