Cargando…

Prognostic Implications of Metabolism Related Gene Signature in Cutaneous Melanoma

Metabolic reprogramming is closely related to melanoma. However, the prognostic role of metabolism-related genes (MRGs) remains to be elucidated. We aimed to establish a nomogram by combining MRGs signature and clinicopathological factors to predict melanoma prognosis. Eighteen prognostic MRGs betwe...

Descripción completa

Detalles Bibliográficos
Autores principales: Zeng, Furong, Su, Juan, Peng, Cong, Liao, Mengting, Zhao, Shuang, Guo, Ying, Chen, Xiang, Deng, Guangtong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7509113/
https://www.ncbi.nlm.nih.gov/pubmed/33014847
http://dx.doi.org/10.3389/fonc.2020.01710
_version_ 1783585537339162624
author Zeng, Furong
Su, Juan
Peng, Cong
Liao, Mengting
Zhao, Shuang
Guo, Ying
Chen, Xiang
Deng, Guangtong
author_facet Zeng, Furong
Su, Juan
Peng, Cong
Liao, Mengting
Zhao, Shuang
Guo, Ying
Chen, Xiang
Deng, Guangtong
author_sort Zeng, Furong
collection PubMed
description Metabolic reprogramming is closely related to melanoma. However, the prognostic role of metabolism-related genes (MRGs) remains to be elucidated. We aimed to establish a nomogram by combining MRGs signature and clinicopathological factors to predict melanoma prognosis. Eighteen prognostic MRGs between melanoma and normal samples were identified using The Cancer Genome Atlas (TCGA) and GSE15605. WARS (HR = 0.881, 95% CI = 0.788–0.984, P = 0.025) and MGST1 (HR = 1.124, 95% CI = 1.007–1.255, P = 0.037) were ultimately identified as independent prognostic MRGs with LASSO regression and multivariate Cox regression. The MRGs signature was established according to these two genes and externally validated in the Gene Expression Omnibus (GEO) dataset. Kaplan-Meier survival analysis indicated that patients in the high-risk group had significantly poorer overall survival (OS) than those in the low-risk group. Furthermore, the MRGs signature was identified as an independent prognostic factor for melanoma survival. An MRGs nomogram based on the MRGs signature and clinicopathological factors was developed in TCGA cohort and validated in the GEO dataset. Calibration plots showed good consistency between the prediction of nomogram and actual observation. The receiver operating characteristic curve and decision curve analysis indicated that MRGs nomogram had better OS prediction and clinical net benefit than the stage system. To our knowledge, we are the first to develop a prognostic nomogram based on MRGs signature with better predictive power than the current staging system, which could assist individualized prognosis prediction and improve treatment.
format Online
Article
Text
id pubmed-7509113
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-75091132020-10-02 Prognostic Implications of Metabolism Related Gene Signature in Cutaneous Melanoma Zeng, Furong Su, Juan Peng, Cong Liao, Mengting Zhao, Shuang Guo, Ying Chen, Xiang Deng, Guangtong Front Oncol Oncology Metabolic reprogramming is closely related to melanoma. However, the prognostic role of metabolism-related genes (MRGs) remains to be elucidated. We aimed to establish a nomogram by combining MRGs signature and clinicopathological factors to predict melanoma prognosis. Eighteen prognostic MRGs between melanoma and normal samples were identified using The Cancer Genome Atlas (TCGA) and GSE15605. WARS (HR = 0.881, 95% CI = 0.788–0.984, P = 0.025) and MGST1 (HR = 1.124, 95% CI = 1.007–1.255, P = 0.037) were ultimately identified as independent prognostic MRGs with LASSO regression and multivariate Cox regression. The MRGs signature was established according to these two genes and externally validated in the Gene Expression Omnibus (GEO) dataset. Kaplan-Meier survival analysis indicated that patients in the high-risk group had significantly poorer overall survival (OS) than those in the low-risk group. Furthermore, the MRGs signature was identified as an independent prognostic factor for melanoma survival. An MRGs nomogram based on the MRGs signature and clinicopathological factors was developed in TCGA cohort and validated in the GEO dataset. Calibration plots showed good consistency between the prediction of nomogram and actual observation. The receiver operating characteristic curve and decision curve analysis indicated that MRGs nomogram had better OS prediction and clinical net benefit than the stage system. To our knowledge, we are the first to develop a prognostic nomogram based on MRGs signature with better predictive power than the current staging system, which could assist individualized prognosis prediction and improve treatment. Frontiers Media S.A. 2020-09-09 /pmc/articles/PMC7509113/ /pubmed/33014847 http://dx.doi.org/10.3389/fonc.2020.01710 Text en Copyright © 2020 Zeng, Su, Peng, Liao, Zhao, Guo, Chen and Deng. http://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 Oncology
Zeng, Furong
Su, Juan
Peng, Cong
Liao, Mengting
Zhao, Shuang
Guo, Ying
Chen, Xiang
Deng, Guangtong
Prognostic Implications of Metabolism Related Gene Signature in Cutaneous Melanoma
title Prognostic Implications of Metabolism Related Gene Signature in Cutaneous Melanoma
title_full Prognostic Implications of Metabolism Related Gene Signature in Cutaneous Melanoma
title_fullStr Prognostic Implications of Metabolism Related Gene Signature in Cutaneous Melanoma
title_full_unstemmed Prognostic Implications of Metabolism Related Gene Signature in Cutaneous Melanoma
title_short Prognostic Implications of Metabolism Related Gene Signature in Cutaneous Melanoma
title_sort prognostic implications of metabolism related gene signature in cutaneous melanoma
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7509113/
https://www.ncbi.nlm.nih.gov/pubmed/33014847
http://dx.doi.org/10.3389/fonc.2020.01710
work_keys_str_mv AT zengfurong prognosticimplicationsofmetabolismrelatedgenesignatureincutaneousmelanoma
AT sujuan prognosticimplicationsofmetabolismrelatedgenesignatureincutaneousmelanoma
AT pengcong prognosticimplicationsofmetabolismrelatedgenesignatureincutaneousmelanoma
AT liaomengting prognosticimplicationsofmetabolismrelatedgenesignatureincutaneousmelanoma
AT zhaoshuang prognosticimplicationsofmetabolismrelatedgenesignatureincutaneousmelanoma
AT guoying prognosticimplicationsofmetabolismrelatedgenesignatureincutaneousmelanoma
AT chenxiang prognosticimplicationsofmetabolismrelatedgenesignatureincutaneousmelanoma
AT dengguangtong prognosticimplicationsofmetabolismrelatedgenesignatureincutaneousmelanoma