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Development and validation of autophagy‐related‐gene biomarker and nomogram for predicting the survival of cutaneous melanoma
Author(s) -
Wan Qi,
Jin Lin,
Su Yaru,
liu Ying,
Li Chaoyang,
Wang Zhichong
Publication year - 2020
Publication title -
iubmb life
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.132
H-Index - 113
eISSN - 1521-6551
pISSN - 1521-6543
DOI - 10.1002/iub.2258
Subject(s) - nomogram , melanoma , autophagy , biomarker , gene signature , gene , phenotype , biology , oncology , computational biology , medicine , bioinformatics , gene expression , cancer research , genetics , apoptosis
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.