Prognostic Implications of Metabolism Related Gene Signature in Cutaneous Melanoma

被引:14
作者
Zeng, Furong [1 ,2 ]
Su, Juan [1 ,2 ]
Peng, Cong [1 ,2 ]
Liao, Mengting [1 ,2 ]
Zhao, Shuang [1 ,2 ]
Guo, Ying [1 ,2 ]
Chen, Xiang [1 ,2 ]
Deng, Guangtong [1 ,2 ]
机构
[1] Cent South Univ, Xiangya Hosp, Hunan Engn Res Ctr Skin Hlth & Dis, Hunan Key Lab Skin Canc & Psoriasis,Dept Dermatol, Changsha, Peoples R China
[2] Cent South Univ, Xiangya Hosp, Natl Clin Res Ctr Geriatr Disorders, Changsha, Peoples R China
来源
FRONTIERS IN ONCOLOGY | 2020年 / 10卷
基金
中国国家自然科学基金;
关键词
melanoma; metabolism related genes; overall survival; prognosis; nomogram; TRANSFER-RNA-SYNTHETASE; CANCER; SURVIVAL; VALIDATION; EXPRESSION; NOMOGRAM; MARKERS; PROTEIN; CELLS; MODEL;
D O I
10.3389/fonc.2020.01710
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
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) andMGST1(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.
引用
收藏
页数:12
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