Hubei Key Laboratory of Tumor Biological Behaviors, Zhongnan Hospital of Wuhan University, Wuhan 430071, Hubei, China.
Department of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan 430071, Hubei, China.
Aging (Albany NY). 2021 Jan 10;13(3):3459-3482. doi: 10.18632/aging.202279.
Melanoma is a life-threatening form of skin cancer with an elevated risk of metastasis and high mortality rates. The prognosis and clinical outcomes of cancer immunotherapy in melanoma patients are influenced by immune cell infiltration in the tumor microenvironment (TME) and the expression of genetic factors. Despite reports suggesting that immune-classification may have a better prediction of prognosis compared to the American Joint Committee on Cancer/Union for International Cancer Control (AJCC/UICC) TNM-classification, the definition of Immunoscore in melanoma is becoming a difficult challenge. In this study, we established and verified a 7-gene prognostic signature. Melanoma patients from the Cancer Genome Atlas (TCGA) were separated into a low-risk group and a high-risk group using the median risk score. Receiver operating characteristic (ROC) analysis for overall survival (OS) showed that the area under the curve (AUC) was 0.701 for 1 year, 0.726 for 3 years, and 0.745 for 5 years, respectively. Moreover, a nomogram was constructed as a practical prognostic tool, and the AUC was 0.829 for 3 years, and 0.803 for 5 years, respectively. Furthermore, we validated the above results in two datasets from the Gene Expression Omnibus (GEO) database and the relationship between 7-gene prognostic signature and immune infiltration estimated.
黑色素瘤是一种危及生命的皮肤癌,其转移风险较高,死亡率也较高。癌症免疫疗法在黑色素瘤患者中的预后和临床结果受到肿瘤微环境(TME)中免疫细胞浸润和遗传因素表达的影响。尽管有报道表明,与美国癌症联合委员会/国际癌症控制联盟(AJCC/UICC)TNM 分类相比,免疫分类可能对预后有更好的预测作用,但黑色素瘤免疫评分的定义正成为一个难题。在本研究中,我们建立并验证了一个 7 基因预后特征。使用中位风险评分,将癌症基因组图谱(TCGA)中的黑色素瘤患者分为低风险组和高风险组。总生存期(OS)的接收器操作特征(ROC)分析显示,1 年、3 年和 5 年的曲线下面积(AUC)分别为 0.701、0.726 和 0.745。此外,构建了一个列线图作为实用的预后工具,其 3 年和 5 年的 AUC 分别为 0.829 和 0.803。此外,我们在来自基因表达数据库(GEO)的两个数据集和估计的 7 基因预后特征与免疫浸润之间的关系中验证了上述结果。