Influence of Serum TGF-β1 and EGFR Levels on the Therapeutic Effect of High-Dose AraC in Patients with Acute Myeloid Leukemia Based on the Decision Curve

Abstract

To analyze the influence of serum levels of transforming growth factor-β1 (TGF-β1) and epidermal growth factor receptor (EGFR) on the therapeutic effect of high-dose cytarabine (HD-AraC) in patients with acute myeloid leukemia (AML). 98 patients with AML treated in our hospital from January 2019 to June 2020 were selected as the research subjects, all patients were treated with HD-AraC for 1 course of treatment every week. The effect of 2 groups were evaluated during after one course of treatment and divided into effective group and ineffective group, statistical table of baseline data was designed, the baseline data of 2 groups were counted in detail, the baseline data and serum levels of TGF-β1 and EGFR of 2 groups were compared, Logistic regression analysis was used to examine the relationship between the levels of serum TGF-β1, EGFR and the therapeutic effect of HD-AraC in patients with AML, the value of serum TGF-β1 and EGFR levels in predicting the therapeutic effect of HD-AraC in AML patients was analyzed based on ROC curve and decision curve. After 1 course of treatment, among the 98 patients, 26 cases had complete remission, 38 cases had partially remission and 34 cases no remission, the total effective rate was 65.31% (64/98); after comparing data of 2 groups, Logistic regression analysis showed that the overexpression of serum EGFR before treatment might be a risk factor for the ineffective treatment of HD-AraC in AML patients (OR>1, P<0.05), overexpression of serum TGF-β1 before treatment might be a protective factor for the ineffective treatment of HD-AraC in AML patients (OR<1, P<0.05); the ROC curve results showed that the AUC of serum EGFR and TGF-β1 before treatment in predicting the risk of ineffective HD-AraC treatment in AML patients were >0.70, which had certain predictive value. The decision curve results showed that in the threshold range of 0.15-044, the prediction model combined with serum EGFR and TGF-β1 levels in predicting the net benefit rate of HD-AraC treatment in AML patients was better than that of serum EGFR or serum TGF-β1 alone. The levels of serum TGF-β1 and EGFR affect the therapeutic effect of HD-AraC in patients with AML and increase the risk of ineffective treatment, serum TGF-β1 and EGFR can be used to predict the risk of ineffective HD-AraC treatment in AML patients, and the combined prediction of net benefit rate is higher.