Autophagy Gene Panel-Based Prognostic Model in Myelodysplastic Syndrome

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

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

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 were screened and APIs were calculated for all samples based on the expression of the seven ARGs, and then, MDS patients were categorized into high- and low-risk groups based on the median APIs. 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 (P = 2.851e-06) and the validation cohort (P = 9.265e-03). Additionally, API showed an independent prognostic indicator for survival in the training samples [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) of API and IPSS were 43.0137 and 66.0274 in the training cohorts and the AUC of the validation cohorts were 41.5361 and 72.0219. Our data indicate these seven ARGs can predict prognosis in patients with MDS and could guide individualized treatment.

Original languageEnglish (US)
Article number606928
JournalFrontiers in Oncology
Volume10
DOIs
StatePublished - Feb 5 2021
Externally publishedYes

Keywords

  • autophagy
  • autophagy-related genes
  • myelodysplastic syndrome
  • myelodysplastic syndrome
  • prognostic model

ASJC Scopus subject areas

  • Oncology
  • Cancer Research

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