Nomogram based on autophagy related genes for predicting the survival in melanoma

• Published in: BMC cancer Vol. 21; no. 1; pp. 1258 - 12
• Main Authors: Deng, Guangtong, Wang, Wenhua, Li, Yayun, Sun, Huiyan, Chen, Xiang, Zeng, Furong
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 22.11.2021; BioMed Central; BMC
• Subjects: Accuracy; Age Factors; Autophagy; Autophagy (Cytology); Autophagy - genetics; Cancer therapies; Databases, Genetic; Datasets; Decision making; Development and progression; Gene expression; Gene Expression Profiling; Genetic aspects; Genomes; Genotypes; Health aspects; Humans; Immunotherapy; Kaplan-Meier Estimate; Lysosomes; Medical prognosis; Melanoma; Melanoma - genetics; Melanoma - mortality; Melanoma - pathology; Metastasis; Multivariate analysis; Mutation; Neoplasm Staging; Nomogram; Nomograms; Nomography (Mathematics); Patient outcomes; Patients; Phagocytosis; Prediction models; Prognosis; Regression Analysis; Reproducibility of Results; Risk groups; ROC Curve; Skin; Skin Neoplasms - genetics; Skin Neoplasms - mortality; Skin Neoplasms - pathology; Survival; Survival analysis; China; Autophagy; Survival; Nomogram; Melanoma

Autophagy, a highly conserved lysosomal degradation pathway, is associated with the prognosis of melanoma. However, prognostic prediction models based on autophagy related genes (ARGs) have never been recognized in melanoma. In the present study, we aimed to establish a novel nomogram to predict the...