AUTHOR=Wang Ming-Jing , Liu Wei-Yi , Wang Xue-Ying , Li Yu-Meng , Xiao Hai-Yan , Quan Ri-Cheng , Huang Gang , Hu Xiao-Mei 

TITLE=Autophagy Gene Panel-Based Prognostic Model in Myelodysplastic Syndrome

JOURNAL=Frontiers in Oncology

VOLUME=Volume 10 - 2020

YEAR=2021

URL=https://www.frontiersin.org/journals/oncology/articles/10.3389/fonc.2020.606928

DOI=10.3389/fonc.2020.606928

ISSN=2234-943X

ABSTRACT=Abnormal autophagy is related to the pathogenesis and clinical symptoms of myelodysplastic syndrome (MDS). However, the effect of autophagy-related genes (ARGs) on the prognosis of MDS remains unclear. Here, we examined the expression profile of 108 patients with MDS from the GSE58831 dataset, and identified 22 genes that were significantly associated with overall survival. Among them, seven ARGs could be used to divide patients with MDS into high- and low-risk groups. The overall survival of patients with high-risk scores based on these seven ARGs was shorter than patients with low-risk scores in both the training cohort (hazard ratio [HR] = 1.322, 95% confidence interval [CI]: 1.158–1.51; P <0.001) and the validation cohort (HR = 1.05, 95% CI: 1–1.1; P <0.01). The area under the receiver operating characteristic curve (AUROC) was 0.856 and 0.769 after three years in the training cohort and validation cohort, respectively, and 0.87 and 0.821, respectively, after five years. Our data indicate these seven ARGs can predict prognosis in patients with MDS and could guide individualize treatment.