State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangzhou, China.
IUBMB Life. 2020 Jul;72(7):1364-1378. doi: 10.1002/iub.2258. Epub 2020 Feb 21.
Autophagy plays a critical role in cutaneous melanoma, but the prognostic research of differentially expressed autophagy-related genes (DEARGs) in melanoma is lacking. Therefore, autophagy-related gene expression data of 630 melanoma patients were obtained from Gene Expression Omnibus (GEO) and The Cancer Genome Atlas database. The DEARGs were identified by "limma" package in R software. Best survival analysis and the least absolute shrinkage and selection operator method were performed to identify a robust 7-DEARG signature as well as construct nomogram associated with the clinical characteristics and validation in internal and external sets. This 7-DEARG signature could be regarded as an independent prognostic signature in clinical setting, and nomogram may supply a more simple and accurate prediction for the prognosis of melanoma. Moreover, 5 cancer hallmarks and 18 potential compounds are commonly enriched in high-risk expression phenotype. Thus, our finding provides new clinical evidences for the accurate diagnosis and identifies a potential prognostic autophagy-related marker for the treatment of melanoma.
自噬在皮肤黑色素瘤中起着关键作用，但黑色素瘤中差异表达的自噬相关基因（DEARGs）的预后研究还很缺乏。因此，从基因表达综合数据库（GEO）和癌症基因组图谱数据库中获得了 630 名黑色素瘤患者的自噬相关基因表达数据。使用 R 软件中的“limma”包来识别 DEARGs。通过最佳生存分析和最小绝对收缩和选择算子方法，确定了一个稳健的 7-DEARG 特征，并在内部和外部数据集构建与临床特征相关的列线图进行验证。这个 7-DEARG 特征可作为临床环境中的独立预后特征，列线图可以为黑色素瘤的预后提供更简单、更准确的预测。此外，高风险表达表型中普遍富集了 5 个癌症特征和 18 种潜在化合物。因此，我们的研究结果为准确诊断提供了新的临床证据，并确定了一个潜在的与自噬相关的预后标志物，可用于治疗黑色素瘤。
