Development of an immune-related gene pairs index for the prognosis analysis of metastatic melanoma

Abstract Melanoma is a skin cancer with great metastatic potential, which is responsible for the major deaths in skin cancer. Although the prognosis of melanoma patients has been improved with the comprehensive treatment, for patients with metastasis, the complexity and heterogeneity of diffuse dise...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Rong-zhi Huang, Min Mao, Jie Zheng, Hai-qi Liang, Feng-ling Liu, Gui-you Zhou, Yao-qing Huang, Fan-yue Zeng, Xu Li
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/d93abdb063904a7ebeb8c0aeada82cd5
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:d93abdb063904a7ebeb8c0aeada82cd5
record_format	dspace
spelling	oai:doaj.org-article:d93abdb063904a7ebeb8c0aeada82cd52021-12-02T14:02:33ZDevelopment of an immune-related gene pairs index for the prognosis analysis of metastatic melanoma10.1038/s41598-020-80858-12045-2322https://doaj.org/article/d93abdb063904a7ebeb8c0aeada82cd52021-01-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-80858-1https://doaj.org/toc/2045-2322Abstract Melanoma is a skin cancer with great metastatic potential, which is responsible for the major deaths in skin cancer. Although the prognosis of melanoma patients has been improved with the comprehensive treatment, for patients with metastasis, the complexity and heterogeneity of diffuse diseases make prognosis prediction and systematic treatment difficult and ineffective. Therefore, we established a novel personalized immune-related gene pairs index (IRGPI) to predict the prognosis of patients with metastatic melanoma, which was conducive to provide new insights into clinical decision-making and prognostic monitoring for metastatic melanoma. Through complex analysis and filtering, we identified 24 immune-related gene pairs to build the model and obtained the optimal cut-off value from receiver operating characteristic curves, which divided the patients into high and low immune-risk groups. Meantime, the Kaplan–Meier analysis, Cox regression analysis and subgroup analysis showed that IRGPI had excellent prognostic value. Furthermore, IRGPI was shown that was closely associated with immune system in the subsequent tumor microenvironment analysis and gene set enrichment analysis. In addition, we broken through the data processing limitations of traditional researches in different platforms through the application of gene pairs, which would provide great credibility for our model. We believe that our research would provide a new perspective for clinical decision-making and prognostic monitoring in metastatic melanoma.Rong-zhi HuangMin MaoJie ZhengHai-qi LiangFeng-ling LiuGui-you ZhouYao-qing HuangFan-yue ZengXu LiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Rong-zhi Huang Min Mao Jie Zheng Hai-qi Liang Feng-ling Liu Gui-you Zhou Yao-qing Huang Fan-yue Zeng Xu Li Development of an immune-related gene pairs index for the prognosis analysis of metastatic melanoma
description	Abstract Melanoma is a skin cancer with great metastatic potential, which is responsible for the major deaths in skin cancer. Although the prognosis of melanoma patients has been improved with the comprehensive treatment, for patients with metastasis, the complexity and heterogeneity of diffuse diseases make prognosis prediction and systematic treatment difficult and ineffective. Therefore, we established a novel personalized immune-related gene pairs index (IRGPI) to predict the prognosis of patients with metastatic melanoma, which was conducive to provide new insights into clinical decision-making and prognostic monitoring for metastatic melanoma. Through complex analysis and filtering, we identified 24 immune-related gene pairs to build the model and obtained the optimal cut-off value from receiver operating characteristic curves, which divided the patients into high and low immune-risk groups. Meantime, the Kaplan–Meier analysis, Cox regression analysis and subgroup analysis showed that IRGPI had excellent prognostic value. Furthermore, IRGPI was shown that was closely associated with immune system in the subsequent tumor microenvironment analysis and gene set enrichment analysis. In addition, we broken through the data processing limitations of traditional researches in different platforms through the application of gene pairs, which would provide great credibility for our model. We believe that our research would provide a new perspective for clinical decision-making and prognostic monitoring in metastatic melanoma.
format	article
author	Rong-zhi Huang Min Mao Jie Zheng Hai-qi Liang Feng-ling Liu Gui-you Zhou Yao-qing Huang Fan-yue Zeng Xu Li
author_facet	Rong-zhi Huang Min Mao Jie Zheng Hai-qi Liang Feng-ling Liu Gui-you Zhou Yao-qing Huang Fan-yue Zeng Xu Li
author_sort	Rong-zhi Huang
title	Development of an immune-related gene pairs index for the prognosis analysis of metastatic melanoma
title_short	Development of an immune-related gene pairs index for the prognosis analysis of metastatic melanoma
title_full	Development of an immune-related gene pairs index for the prognosis analysis of metastatic melanoma
title_fullStr	Development of an immune-related gene pairs index for the prognosis analysis of metastatic melanoma
title_full_unstemmed	Development of an immune-related gene pairs index for the prognosis analysis of metastatic melanoma
title_sort	development of an immune-related gene pairs index for the prognosis analysis of metastatic melanoma
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/d93abdb063904a7ebeb8c0aeada82cd5
work_keys_str_mv	AT rongzhihuang developmentofanimmunerelatedgenepairsindexfortheprognosisanalysisofmetastaticmelanoma AT minmao developmentofanimmunerelatedgenepairsindexfortheprognosisanalysisofmetastaticmelanoma AT jiezheng developmentofanimmunerelatedgenepairsindexfortheprognosisanalysisofmetastaticmelanoma AT haiqiliang developmentofanimmunerelatedgenepairsindexfortheprognosisanalysisofmetastaticmelanoma AT fenglingliu developmentofanimmunerelatedgenepairsindexfortheprognosisanalysisofmetastaticmelanoma AT guiyouzhou developmentofanimmunerelatedgenepairsindexfortheprognosisanalysisofmetastaticmelanoma AT yaoqinghuang developmentofanimmunerelatedgenepairsindexfortheprognosisanalysisofmetastaticmelanoma AT fanyuezeng developmentofanimmunerelatedgenepairsindexfortheprognosisanalysisofmetastaticmelanoma AT xuli developmentofanimmunerelatedgenepairsindexfortheprognosisanalysisofmetastaticmelanoma
_version_	1718392112591929344

Development of an immune-related gene pairs index for the prognosis analysis of metastatic melanoma

Ejemplares similares