Imatinib mesylate (IM) is highly efficacious in the treatment of chronic myeloid leukemia (CML). Therapeutic drug monitoring and pharmacogenetic screening are affirmed for better management of IM therapy. The goal of this study was to gain a greater mechanistic understanding of the factors controlling variability in IM level and its relation to the response. One hundred and two patients with CML at chronic phase were recruited in this study. Blood samples were withdrawn at least 30 days after drug administration, and trough and peak concentrations of imatinib, N-des-methyl imatinib, and pyridine-N-oxide imatinib were determined by HPLC/MS/MS. Genetic polymorphism of the genes ABCG2 SNPs 34 G>A and 421C >A; ABCB1 SNPs 2677 G>A/T, 1236 C>T, 3435 C>T; SLCO1B3 SNPs 334 T>G and CYP3A5 were studied using PCR-RFLP technique. Our study presented significant higher trough IM (1,281 ± 578 ng/ml), lower Peak/Trough ratio, clearance (Cl), and elimination rate constant, k e , among patients who achieved favorable responses ( N = 64) than those for patients who suffered unfavorable response ( N = 37). The P/T ratio was the only significant independent factor affecting response, as the P/T ratio increased by one, the risk of unfavorable response increased by more than double as compared to favorable response with 95% CI (1.28–3.92, P = 00.005). Moreover, like the results of IM, the trough concentration of Pyridine-N-oxide imatinib was significantly higher ( P = 0.01) and its P/T ratio was significantly lower ( P = 0.008) in patients achieved favorable response than those without. The wild GG genotype of the ABCG2.34 G>A gene was associated with favorable response ( P = 0.01), lower Cl, K e and high plasma IM trough level than both (AA+GA) genotypes. ABCG2.421C >A (CC) genotype had a significantly higher plasma peak of IM, N-des-methyl imatinib and higher C ss . The GG and TG alleles of the SLCO1B3.334 T>G gene were significantly correlated to favorable response, while the wild allele TT was linked to unfavorable response ( P = 0.03). In conclusion, the trough and P/ T ratio for both IM and Pyridine-N-oxide imatinib, in addition to Polymorphism of ABCG2 SNPs 34 G>A and SLCO1B3.334 T>G gene, is a good predictor for response of IM in CML Egyptian patients.
N-Acetyltransferases (NAT) have been known to modify the risk to a variety of solid tumors. However, the role of NAT2 polymorphism in risk susceptibility to childhood acute lymphoblastic leukemia (ALL) is still not well known. We performed a case-control study to determine if the common NAT2 polymorphisms play a role in altering susceptibility to pediatric ALL. DNA of 92 pediatric ALL patients and 312 healthy controls was analyzed for the NAT2 polymorphisms using the PCR-RFLP method. The wild-type NAT2*4 was encountered in 8.6 % of patients versus 11.8 % of controls (P = 0.23). The rapid acetylators NAT2*12 803A>G, AG, GG, and AG/GG were overrepresented in controls (P = 0.0001; odds ratio (OR) 0.22, 0.19, and 0.21 respectively). NAT2*5D 341T>C and NAT2*11A 481C>T were of comparable frequencies. For their combination, NAT2*5A, a slow acetylator, both TCTT and CCCT were overrepresented in patients (P < 0.001; OR 15.8 and 17.9 respectively). NAT2*5B (803A>G, 341T>C, 481C>T) was overrepresented in controls (P < 0.001; OR 0.12). Apparently, 803A>G ameliorated the combined effect of 341T>C and 481C>T. A similar effect was obtained with NAT2*5C (341T>A, 803A>G) (P < 0.0001; OR 0.11). For slow acetylator NAT2*7A 857G>A, GA and GA/AA were overrepresented in patients (P = 0.009 and 0.01; OR 2.74 and 2.72 respectively). NAT2*13 282C>T, NAT2*6B 590G>A, and NAT2*14A 191G>A were of comparable frequencies. NAT2 282C>A in combination with NAT2 857G>A (NAT2*7B) showed a synergistic effect in patients versus controls (P < 0.0001; OR 3.51). In conclusion, NAT2 gene polymorphism(s) with slow acetylator phenotype is generally associated with the risk of development of ALL in children.
Aim: To evaluate the value of peripheral blood mammaglobin (MG) gene expression for diagnosis and prediction of metastasis in breast cancer patients. Methods: MG expression was detected by nested reverse‐transcription polymerase chain reaction in the peripheral blood of 46 females (32 breast cancer, 12 benign breast lesions, 2 no breast abnormalities). In total 28 breast cancer patients were followed up through a period of 34 months for the development of metastasis. Results: MG expression was detected in 16/32 (50%) breast cancer patients but not in patients with benign lesions or healthy participants. Five patients had metastasis at diagnosis. During the 34 months of follow up, five more MG‐positive patients showed metastatic lesions and none of the MG negative patients who were followed up developed metastasis. Conclusion: The study suggests blood MG expression is a specific molecular marker for detection of occult mammary carcinoma cells of patients with operable breast cancer. It might be of value as a predictor of subsequent metastasis. Large‐scale studies and longer follow‐up periods are needed.
Background Imatinib is used to treat chronic myelogenous leukemia (CML). Variations in imatinib pharmacokinetics have been linked to genetic variations. That has an impact on imatinib response and adverse effects. Therefore, the aim of the study was to study bone pain as an adverse effect that occurs with imatinib and to investigate the risk factors for bone pain. Methods The relationship between the peak and trough plasma concentrations of imatinib with bone pain as one of the most frequently occurring adverse effects was examined. Multiple linear regression analysis and binary logistic regression analysis were used to measure the impact of various patients’ characteristics on both peak and trough imatinib concentrations and the risk of the occurrence of imatinib-induced bone pain. Results As a side effect of imatinib, approximately 15% of patients with CML who were taking it experienced bone pain. This side effect was linked to the imatinib peak and trough plasma levels. Imatinib trough concentration was also linked to gender and the gene SLCO1B3-334T > G (TT). There were significant associations between peak concentrations and gender as well as patient weight. Conclusion Higher peak and trough plasma concentrations of imatinib are linked with the risk of the occurrence of bone pain as a side effect of imatinib. Monitoring plasma concentrations of imatinib is useful to predict the bone pain of imatinib and to support quality of life in patients with CML.
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