Objectives: Genetic polymorphisms in FPGS, MTHFR, and ATIC have emerged as important modulators of methotrexate (MTX) metabolism and toxicity. We investigated the distribution of FPGS rs10106, MTHFR rs1801131, and ATIC rs2372536 polymorphisms in children with acute lymphoblastic leukemia (ALL) and assessed their influence on MTX concentrations, toxicity profiles, and clinical outcomes.
Methods: Genotyping of FPGS rs10106 G > A, MTHFR rs1801131 A > C, and ATIC rs2372536 C > G polymorphisms was conducted using the Sequenom MassARRAY iPLEX platform in 145 pediatric ALL patients.
Results: Significant ethnic differences were observed in the allelic and genotypic distributions of the three single nucleotide polymorphisms (SNPs) investigated. None of these three SNPs had a significant effect on MTX levels or toxicities. The frequencies of the ATIC rs2372536 CC genotype and C allele in ALL patients (44.8% and 68.6%, respectively) were significantly lower than those in Han Chinese in Beijing, China (58.3% and 78.2%, respectively; P = 0.036 and 0.019, respectively). Patients carrying the ATIC rs2372536 GG genotype (36.4%, 4/11) had a significantly higher relapse rate than the CC genotype carriers (6.2%, 4/65, P = 0.013). There, however, were no significant effects on relapse-free survival in Kaplan-Meier and Cox regression analyses for all three candidate SNPs.
Conclusion: Our findings offer valuable insights into the intricate interplay between genetic polymorphisms, MTX exposure, toxicities, and clinical outcomes in patients with ALL and have the potential to inform precision medicine strategies.
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http://dx.doi.org/10.1097/FPC.0000000000000563 | DOI Listing |
Pharmacogenet Genomics
February 2025
Department of Pediatrics, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Objectives: Genetic polymorphisms in FPGS, MTHFR, and ATIC have emerged as important modulators of methotrexate (MTX) metabolism and toxicity. We investigated the distribution of FPGS rs10106, MTHFR rs1801131, and ATIC rs2372536 polymorphisms in children with acute lymphoblastic leukemia (ALL) and assessed their influence on MTX concentrations, toxicity profiles, and clinical outcomes.
Methods: Genotyping of FPGS rs10106 G > A, MTHFR rs1801131 A > C, and ATIC rs2372536 C > G polymorphisms was conducted using the Sequenom MassARRAY iPLEX platform in 145 pediatric ALL patients.
Clin Rheumatol
March 2024
Department of Medical Biochemistry, Faculty of Medicine, Alexandria University, Alexandria, Egypt.
Background: There are currently no validated criteria that entirely explain or predict response to methotrexate (MTX) treatment in rheumatoid arthritis (RA). We tried to identify the connection between three variants (RFC1 G80A (rs1051266), TYMS 2R/3R (rs34743033), and ATIC C347G (rs2372536)) in the folate pathway of MTX metabolism and the response to MTX monotherapy in a cohort of RA cases.
Methods: A prospective study on 100 RA patients on MTX monotherapy was performed.
Sci Rep
July 2022
Department of Medical Sciences, School of Medical and Life Sciences, Sunway University, 47500, Bandar Sunway, Selangor Darul Ehsan, Malaysia.
Methotrexate (MTX) is the most widely used disease-modifying anti-rheumatic drug (DMARD) for rheumatoid arthritis (RA). Many studies have attempted to understand the genetic risk factors that affect the therapeutic outcomes in RA patients treated with MTX. Unlike other studies that focus on the populations of Caucasians, Indian and east Asian countries, this study investigated the impacts of six single nucleotide polymorphisms (SNPs) that are hypothesized to affect the outcomes of MTX treatment in Malaysian RA patients.
View Article and Find Full Text PDFGenes (Basel)
February 2022
Núcleo de Pesquisas em Oncologia, Universidade Federal do Pará, Belém 66073-005, PA, Brazil.
Chronic myeloid leukemia (CML) is a myeloproliferative neoplasm derived from the balanced reciprocal translocation of chromosomes 9 and 22 t (9q34 and 22q11), which leads to the formation of the Philadelphia chromosome and fusion of the genes. The first-line treatment for CML is imatinib, a tyrosine kinase inhibitor that acts on the BCR-ABL protein. However, even though it is a target-specific drug, about 25% of patients do not respond to this treatment.
View Article and Find Full Text PDFArthritis Care Res (Hoboken)
June 2022
Mayo Clinic, Rochester, Minnesota.
Objective: To test the ability of machine learning (ML) approaches with clinical and genomic biomarkers to predict methotrexate treatment response in patients with early rheumatoid arthritis (RA).
Methods: Demographic, clinical, and genomic data from 643 patients of European ancestry with early RA (mean age 54 years; 70% female) subdivided into a training (n = 336) and validation cohort (n = 307) were used. The genomic data comprised 160 single-nucleotide polymorphisms (SNPs) previously associated with RA or methotrexate metabolism.
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