Systematic Analysis of Autophagy-Related Signature Uncovers Prognostic Predictor for Acute Myeloid Leukemia

• DOI: 10.1089/dna.2020.5667
• Publication Date: 2020-08-12T19:48:21Z
• Authors: Xue-Xing Chen; Zi-Ping Li; Jian-Hua Zhu; Hai-Tao Xia; Hao Zhou
• Keywords: Nomogram; Gene signature

Autophagy, a highly conserved cellular protein degradation process, has been involved in acute myeloid leukemia (AML). The present study aims to establish novel, autophagy-related prognostic signature for prediction of AML prognosis. Differentially expressed genes and healthy samples were screened using GSE1159. Univariate Cox regression analysis was applied determine survival-associated Cancer Genome Atlas (TCGA) cohort. Lasso performed develop multiple-gene signatures. A novel six-gene (including CASP3, CHAF1B, KLHL24, OPTN, VEGFA, VPS37C) DC established prognosis prediction. Kaplan–Meier survival revealed that patients the high-risk score group had poorer overall (OS). receiver operating characteristic (ROC) curve validated its good performance TCGA cohort, area under value 0.817. Moreover, our could independently predict OS. nomogram constructed, including other clinical parameters, predictive efficiency confirmed ROC calibration curve. Furthermore, gene set enrichment analyses identified several tumor-associated pathways may contribute explain potential molecular mechanisms signature. Overall, we developed new autophagy-associated OS patients, which help decision-making treatment.