Identification and Validation of a Prognostic Risk-Scoring Model Based on LATS2 Expression in Acute Myeloid Leukemia
Bin Liu1, Jian Zhang2, Jing Wang2
1Department of Center Laboratory, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People's Republic of China.
Abstract:
Acute myeloid leukemia (AML)'s treatment and remission remains unsatisfactory. A prognostic risk-scoring model containing seven signature genes (POU3F1, RPGR, PTP4A3, SOCS1, FAM83G, GREB1 and COL2A1), was developed by LASSO-Cox regression analysis. In the training set, the test group, area under the curve values of 1, 3, and 5 years were 0.876, 0.877, 0.937, and 0.974, 0.878, 0.976 respectively, which indicates a good predictive efficacy. In the two external GEO (GSE71014 and GSE6891) datasets, area under the curve values of 1, 3, 5 years were 0.847, 0.857, 0.822, and 0.830, 0.863, 0.891 respectively. Our seven signature genes containing risk-scoring model performed excellently in evaluating the OS of AML patients.
