Impaired fasting glucose (IFG) and type 2 diabetes (T2D) represents adverse events in Chronic Myeloid Leukemia (CML) patients treated with the second-generation tyrosine kinase inhibitor (TKI) nilotinib. A genetic risk score (uGRS) for the prediction of insulin resistance, consisting of 10 multiple single-nucleotide polymorphisms (SNPs), has been proposed. We evaluated the uGRS predictivity in 61 CML patients treated with nilotinib. Patients were genotyped for IRS1, GRB14, ARL15, PPARG, PEPD, ANKRD55/MAP3K1, PDGFC, LYPLAL1, RSPO3, and FAM13A1 genes. The uGRS was based on the sum of the risk alleles within the set of selected SNPs. Molecular response (MR)(3.0) and MR(4.0) were achieved in 90% and 79% of the patients, respectively. Before treatment, none of the patients had abnormal blood glucose. During treatment and subsequently follow-up of 80.2 months (range 1-298), 7 patients (11.5%) developed diabetes requiring oral treatment, after a median of 14 months (range 3-98) since nilotinib. Twelve patients (19.7%) developed prediabetes. Prediabetes/diabetes-free survival was significantly higher in patients with an uGRS below 10 compared to higher scores (100% vs 22.8±12.4%, p<0.001). Each increment of 1 unit on the uGRS caused a 42% increase in the prediabetes/diabetes risk (HR=1.42; CI: 1.04-1.94; p=0.026). The presence of more than 10 allelic variants associated to insulin secretion, processing, sensitivity and clearance is predictive of prediabetes/diabetes developing in CML patients treated with nilotinib. In clinical practice uGRS could help tailor the best TKI therapy.

Genetic risk of prediabetes and diabetes development in chronic myeloid leukemia patients treated with nilotinib

LA NASA, GIORGIO;CAOCCI, GIOVANNI
2017-01-01

Abstract

Impaired fasting glucose (IFG) and type 2 diabetes (T2D) represents adverse events in Chronic Myeloid Leukemia (CML) patients treated with the second-generation tyrosine kinase inhibitor (TKI) nilotinib. A genetic risk score (uGRS) for the prediction of insulin resistance, consisting of 10 multiple single-nucleotide polymorphisms (SNPs), has been proposed. We evaluated the uGRS predictivity in 61 CML patients treated with nilotinib. Patients were genotyped for IRS1, GRB14, ARL15, PPARG, PEPD, ANKRD55/MAP3K1, PDGFC, LYPLAL1, RSPO3, and FAM13A1 genes. The uGRS was based on the sum of the risk alleles within the set of selected SNPs. Molecular response (MR)(3.0) and MR(4.0) were achieved in 90% and 79% of the patients, respectively. Before treatment, none of the patients had abnormal blood glucose. During treatment and subsequently follow-up of 80.2 months (range 1-298), 7 patients (11.5%) developed diabetes requiring oral treatment, after a median of 14 months (range 3-98) since nilotinib. Twelve patients (19.7%) developed prediabetes. Prediabetes/diabetes-free survival was significantly higher in patients with an uGRS below 10 compared to higher scores (100% vs 22.8±12.4%, p<0.001). Each increment of 1 unit on the uGRS caused a 42% increase in the prediabetes/diabetes risk (HR=1.42; CI: 1.04-1.94; p=0.026). The presence of more than 10 allelic variants associated to insulin secretion, processing, sensitivity and clearance is predictive of prediabetes/diabetes developing in CML patients treated with nilotinib. In clinical practice uGRS could help tailor the best TKI therapy.
2017
Chronic Myeloid Leukemia,; Diabetes,; Genetic Risk Score,; Nilotinib
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11584/219768
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