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Development and validation of autophagy-related-gene biomarker and nomogram for predicting the survival of cutaneous melanoma.

用于预测皮肤黑色素瘤生存的自噬相关基因生物标志物和列线图的开发和验证。

  • 影响因子:3.32
  • DOI:10.1002/iub.2258
  • 作者列表:"Wan Q","Jin L","Su Y","Liu Y","Li C","Wang Z
  • 发表时间:2020-02-21
Abstract

: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.

摘要

: 自噬在皮肤黑色素瘤中起关键作用,但缺乏黑色素瘤中差异表达自噬相关基因 (DEARGs) 的预后研究。因此,从 gene expression Omnibus (GEO) 和癌症基因组图谱数据库中获得了 630 例黑色素瘤患者的自噬相关基因表达数据。DEARGs 由 R 软件中的 “limma” 包识别。进行最佳生存分析和最小绝对收缩和选择算子方法,以确定稳健的 7-DEARG 签名,并构建与临床特征相关的列线图,并在内部和外部集进行验证。该 7-DEARG 标记可被视为临床环境中的独立预后标记,列线图可能为黑色素瘤的预后提供更简单和准确的预测。此外,5 种癌症标志和 18 种潜在化合物通常富集在高风险表达表型中。因此,我们的发现为准确诊断提供了新的临床证据,并确定了治疗黑色素瘤的潜在预后自噬相关标志物。

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DOI:10.1002/ijc.32847
作者列表:["Abrahamsson H","Jensen BV","Berven LL","Nielsen DL","Šaltytė Benth J","Johansen JS","Larsen FO","Johansen JS","Ree AH"]

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影响因子:4.88
发表时间:2020-03-01
DOI:10.1016/j.ecoenv.2019.110098
作者列表:["Suvina V","Kokulnathan T","Wang TJ","Balakrishna RG"]

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影响因子:6.50
发表时间:2020-03-31
来源期刊:Cancer letters
DOI:10.1016/j.canlet.2019.12.039
作者列表:["Zhou Z","Zhou Q","Wu X","Xu S","Hu X","Tao X","Li B","Peng J","Li D","Shen L","Cao Y","Yang L"]

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