Leukemia Research and Treatment

Leukemia Research and Treatment / 2012 / Article

Clinical Study | Open Access

Volume 2012 |Article ID 292043 | https://doi.org/10.1155/2012/292043

Dayse Maria Vasconcelos de Deus, Elker Lene Santos de Lima, Rafaela Maria Seabra Silva, Edinalva Pereira Leite, Maria Tereza Cartaxo Muniz, "Influence of Methylenetetrahydrofolate Reductase C677T, A1298C, and G80A Polymorphisms on the Survival of Pediatric Patients with Acute Lymphoblastic Leukemia", Leukemia Research and Treatment, vol. 2012, Article ID 292043, 6 pages, 2012. https://doi.org/10.1155/2012/292043

Influence of Methylenetetrahydrofolate Reductase C677T, A1298C, and G80A Polymorphisms on the Survival of Pediatric Patients with Acute Lymphoblastic Leukemia

Academic Editor: Massimo Breccia
Received05 Aug 2012
Revised21 Sep 2012
Accepted22 Sep 2012
Published17 Oct 2012


The influence of genic polymorphisms involved in metabolism of chemotherapeutic agents as the methotrexate (MTX) has been studied mainly in acute lymphoblastic leukemia (ALL) of childhood. Advances in treatment may be attributed to identification of prognostic factors added to chemotherapy protocol. The aim of this study was to analyze the association of the C677T, A1298C, and G80A polymorphisms on MTHFR gene and on the overall survival of pediatric patients with lymphoblastic leukemia treated with MTX according to the Brazilian protocol in 187 months. The C677T and G80A polymorphisms were genotyped by PCR-RFLP and A1298C polymorphism by allele-specific PCR. We observed that ALL patients presented rate (dead/alive) of 0.36 for the 677CC genotype, corresponding also to lower overall survival ; on the other hand, the 677TT genotype showed a better survival (98%). Thus, we believe that patients with 80AA genotype presented a small reduction in MTX plasma level, suggesting that ALL children, carrying the 80AA genotype, showed a high toxicity to MTX .

1. Introduction

Leukemia is the most common childhood cancer. Recently the influence of polymorphisms in different genes is involved on the metabolism of chemotherapeutic agents and it has been studied especially in childhood acute lymphoblastic leukemia (ALL) [1]. Despite actual chemotherapy protocols cure almost 80% of pediatric patients with ALL, the majority of adult patients still die from this disease. Advances in cure rates in children could be attributable to identification of prognostic features together with the intensified chemotherapy and improved supportive therapy [2]. Genetic polymorphisms in patients with ALL can alter drug-metabolizing enzymes, transporters, and targets; therefore, they can influence both efficacy and toxicity of chemotherapeutic agents. Actually this type of genetic polymorphisms is not used in a specific treatment; however, they could be responsible for an altered sensitivity of leukemic cells to drugs [3]. The pharmacological pathway of MTX is useful to identify genes and polymorphisms that influence the response to chemotherapy for ALL. An important enzyme in the folate/methotrexate metabolism pathway is 5,10-methylenetetrahydrofolate reductase (MTHFR), which catalyzes the conversion of 5,10-methylenetetrahydrofolate to 5-methyltetrahydrofolate in the folic acid cycle [3]. The MTHFR plays an important role in the folate metabolism and differences in its activity due to these two genic variants might modify the modulation of therapeutic response to antifolate chemotherapeutic agents. The frequencies of the C677T and A1298G allelic variants vary by ethnicity. In Europe, 8–20% of the Caucasian population is homozygous for the 677T allele and almost 40% is heterozygous [4]. The human reduced folate carrier (RFCh) is expressed in all cells and it is characterized as primarily responsible for the transport of folate and antifolate chemotherapeutic drugs, such as methotrexate (MTX), pemetrexed (Alimta), and raltitrexed (Tomudex) in mammalian cells, even when multiple other systems of assimilation are present [5]. However, the importance of physiology and pharmacology of G80A (RFCh) polymorphism remains unclear, although clinical and epidemiological findings have shown controversy [6]. In this study, we analyzed the association between the C677T, A1298C, and G80A polymorphisms and overall survival of Brazilian children with ALL submitted to treatment according to the Brazilian Group for Treatment of Lymphoblastic Leukemia in Childhood (GBTLI-99).

2. Materials and Methods

2.1. Patients and Samples

One hundred twenty-six children with acute lymphoblastic leukemia aged 0 ≤ 18 years were studied. They were enrolled in the Pediatric Hematology Oncology Center, Hospital Oswaldo Cruz (HUOC), Recife, Brazil, from 2003 to 2011. We evaluated 126 patients for C677T polymorphism and 118 patients for A1298C and G80A polymorphisms regarding to overall survival, and they presented clinical and laboratory diagnosis for acute leukemia using the GBTLI-99 treatment protocol [7]. The patient samples were collected from bone marrow puncture in the posterior iliac crest, according to the ethics committee of HUOC. The DNA samples were obtained by salting-out method (1988) [8].

2.2. Genotyping

The C677T polymorphism was genotyped by PCR-RFLP method as previously described [9]. The primers used for MTHFR genotyping of the C677T polymorphism were (forward) 5′-TGA AGG AGA AGG TGT CTG CGG GA-3′ and (reverse) 5′-AGG ACG GTG CGG TGA GAG TG-3′. The cycling: 1 cycle of 95°C/6 min, 40 cycles of 95°C/60 s, 62,5°C/90 s, and 72°C/60 s and 1 cycle of 72°C/7 min. Each PCR reaction of 24 μL contains the components: 2.5 μL Buffer (10x), 1 μL MgCl2 (50 mM), 1 U Taq polymerase (5 U/μL), 2 μL dNTP (200 μM), 1.5 μL primer (5 pmol/μL). The 677C → T base pair substitution creates a Hinf1 restriction site. The PCR product (198 bp) of C677T was digested for 48 hours at 37°C using Hinf1 and analyzed on agarose gel 3% with ethidium bromide (0.4 mg/mL) in electrophoresis. Digestion of PCR product with Hinf1 showed fragments of 175 bp and 23 bp for the TT genotype, 198 bp, 175 bp, and 23 bp for the CT genotype.

The A1298C polymorphism was genotyped by adapted allele specific PCR [10], were used (allele A) forward 5′-GGA GCT GAC CAG TGA AGA-3′ and reverse 5′-TGT GAC CAT TCC GGT TTG-3′; (allele C) forward 5′-CTT TGG GGA GCT GAA GGA-3′ and reverse 5′-AAG ACT TCA AAG ACA CTT G-3′. The cycling: 1 cycle of 94°C/2 min, 30 cycles of 95°C/30 s, 58°C/30 s, and 72°C/50 s and 1 cycle of 72°C/5 min. Each PCR, for 23 μL reaction contains the components: 2.3 μL Buffer (10x), 0.75 μL MgCl2 (50 mM), 1.5 U Taq polymerase (5 U/μL), 2 μL dNTP (200 μM), and 2 μL each primer (5 pmol/μL). The amplified products were analyzed using agarose gel 4% with ethidium bromide (0.4 mg/mL) by electrophoresis.

The G80A polymorphism was genotyped by PCR-RFLP using the primers and enzyme HhaI according to Chango et al. [11].

2.3. Evaluation of Toxicity and MTX Plasma Concentrations

The toxicity was assessed by toxicity scale for blood, liver, and kidney in accordance with the National Cancer Institute-Common Toxicity Criteria (NCI-CTC), version 2.0. The MTX serum concentrations were evaluated in 24 hours and 48 hours during the maintenance phase, using the Methotrexate II kit (Abbott Laboratories) and the automatic analyzer of fluorescence—FLX TDX (Labclinics).

2.4. Statistical Analysis

The associations between categorical variables were performed using test. The overall survival analysis was performed using the patient followup according to the statistical models in conjunction with Kaplan Meier Log Rank (Mantel Cox) to assess the risk of death in 15.58 years (187 months) time. The serum MTX concentrations were analyzed by Kuskal Wallis test. All results with value <0.05 were statistically significant. For this analysis we used the statistical programs BioEstat 5.0 and GraphPad Prism 5.0.

3. Results

The median age was 9 years; according to gender, the distribution of polymorphisms was similar, and except for the A1298C polymorphism, the G80A and C677T polymorphisms were in Hardy-Weinberg equilibrium. Regarding the rate (dead/alive), we observed that among the polymorphisms, the 677CC, 1298AC, and 80AA genotypes showed the higher death proportion (Table 1).

677 CC (%)677 CT (%)677 TT (%)1298 AA (%)1298 AC (%)1298 CC (%)80 AA (%)80 GA (%)80GG (%)

 Male32 (25.4)24 (19.0)5 (04.0)25 (21.2)17 (14.5)12 (10.1)21 (17.8)20 (17.0)13 (11.0)
 Female39 (31.0)22 (17.4)4 (03.2)25 (21.2)26 (22.0)13 (11.0)21 (17.8)31 (26.3)12 (10.1)
 <9 years37 (29.4)23 (18.2)4 (03.2)20 (17.0)27 (22.9)17 (14.5)19 (16.1)31 (26.3)14 (11.8)
 ≥9 years34 (27.0)23 (18.2)5 (04.0)30 (25.4)16 (13.5)8 (06.7)23 (19.5)20 (17.0)11 (09.3)
Living52 (41.3)34 (27.0)7 (05.5)40 (33.9)30 (25.4)19 (16.1)31 (26.3)42 (35.6)18 (15.3)
Dead19 (15.1)12 (09.5)2 (01.6)10 (08.5)13 (11.0)6 (05.1)11 (09.3)9 (07.6)7 (05.9)
Ratio (L/A)0.360.350.280.250.430.310.350.210.39

value significant; L: living; D: dead.

The C677T polymorphism showed a better overall survival for the 677TT genotype than 677CC and 677CT genotypes in ALL, due to allele C. The survival of ALL patients with the 677TT genotype was about 98%, while for the 677CC genotype was 77%. The 677C allele favored the survival in 62%, while the 677T allele was 80% (Figure 1).

The A1298C polymorphism showed a better overall survival for the 1298CC genotype, showing a followup of 93%, while the AC genotype was 80% and AA was 85%, respectively. The survival of ALL patients with the A allele was about 68%, while that of patients with 1298C allele was 74% (data not shown).

Patients with 80GA genotype showed a better survival, while 80GG genotype patients showed worse survival up to 80 months and the survival analyses related to the allele were observed when the curves differ to 80 months (data not shown).

We analyzed the toxicity in only 18 patients. We observed that, according to NCI-CTC, the patients with 80AA genotype showed blood toxicity of grades 1 and 2, hepatic toxicity of grades 1 and 3, and no renal toxicity; patients with 80AG genotype showed blood toxicity of grades 1, 2, and 3, liver toxicity of grades 2 and 3, and no renal toxicity; patients with 80GG genotype presented just blood toxicity of grade 3 and no liver and kidney toxicities.

On the other hand, we report that the plasma levels of MTX in patients with 80AA genotype, in the first 24 hours, showed lower MTX plasma concentrations (mean 0.77 μmol/L; range 0.12–1.84; SD ± 0.438), while 80GG genotype showed higher MTX plasma concentrations (mean 1.46 μmol/L; range 0.36–5.45; SD ± 1.80); the 80GA genotype had mean of 0.98 μmol/L (range 0.31–5.12; SD ± 1.32). We did not observe large difference between G80A (RFCh) polymorphism and the MTX plasma level in 48 hours (80AA genotype: mean 0.30 μmol/L; range 0.02–2.6; SD ± 0.651 ∣ 80GA genotype: mean 0.158 μmol/L; range 0.08–0.43; SD ± 0.173 ∣ 80GG genotype: mean 0.18 μmol/L; range 0.07–0.55; SD ± 0.171), (Figure 2).

4. Discussion

In these last years it has been extensively debated the influence of C677T and A1298C MTHFR polymorphisms on hematological malignancies. Particularly, the roles of both polymorphisms on the susceptibility of the development of ALL have been broadly discussed [4]. Nowadays, it is very important to analyze the pathogenesis of the disease and, consequently, the risk stratification for a different genotypic profile population. De Jonge et al. [12] analyzed 245 dutch children and found that the T allele decreases the risk of leukemia in these patients according to the toxicity in course of chemotherapy with methotrexate (MTX), and, more recently, on the clinical response to chemotherapy [13], which can vary in populations, because leukemia is a multifactorial disease. In our country, the folic acid intake during pregnancy is impaired [14, 15], and this deficiency is associated with changes in the pattern of DNA methylation, a significant elevation of plasma homocysteine, as well as, a significant decline in plasma levels of folate (5-methyl-THF) [9] and consequently the susceptibility to cancer.

A meta-analysis study concluded that MTHFR 677TT reduces the risk of death in adult with ALL, but not in children and the MTHFR 1298A > C polymorphism did not influence the evolution of ALL susceptibility in childhood or adulthood [16]. Semsei et al. [17] found high protection in boys carrying 677CT and 1289AA genotypes and less protection in girls with 1298AC and 677CC genotypes. However, the results are conflicting; some studies report protective effects for MTHFR 677TT [12, 18, 19] and 1298CC [18, 19], whereas others have yielded relatively little or no evidence of effect least for position 677 of MTHFR gene [16, 20]. There are several possible reasons for these inconsistencies, one of which relates to small population size of most previous studies.

Our results demonstrate the importance of analyzing the overall survival, estimating a successful treatment with MTX during chemotherapy for different polymorphisms types, mainly because the 677C allele influences the disease risk. In our country it is evaluated only by odds ratio in acute lymphoblastic leukemia [18, 21]. Our study was the first to evaluate the overall survival for 15.58 years in children with ALL, according to the treatment GBTLI-99 protocol.

This study demonstrated that pediatric patients with 677TT genotype had a better overall survival than the patients with 677CC genotype for the MTHFR gene. On the other hand, it was observed in those children who had high death frequency, carrying 1298AC and 677CC genotypes, although this result has been not statistically significant.

Over recent years, several studies have investigated the relationship between MTHFR gene polymorphisms and toxicity during the therapy with methotrexate in childhood ALL [2225]. Some studies did not find significant associations between the 677T allele and toxicity [13, 23, 26, 27], although one study reported a small rate of toxicity episodes among patients carrying the 677T allele [22]. On the other hand, a study showed that individuals with 677T allele had to interrupt the treatment with methotrexate most often, suggesting that the 677T allele serves as a toxicity predictor during the chemotherapy maintenance. These different results are probably a ttributable to several factors, such as the methotrexate/dose, treatment protocol, ethnic background, and number of patients analyzed [21, 24, 25].

In our protocol (GBTLI 99), the patients were treated with 2 g/m2/dose of methotrexate after 8 weeks of the induction phase, and it is the highest MTX dose given during the treatment for pediatric patients with ALL [8]. Kotnik et al. [28] evaluated different protocols (BFM95, BFM90, BFM86, BFM2002, BFM90NHL) of treatment to pediatric patients, which it was administered high doses of methotrexate (5 g/m2) and after analyzed the C677T and A1298C polymorphisms (also other genes SLC19A1 and ABCB1) in comparison with the MTX toxicity on plasma. They observed only 26% of reduction in MTX clearance of patients with 677TT genotype, although the effect of magnitude on MTX clearance was not quantified for these studies [28], but it suggests an absorption of MTX by leukemic cells and, consequently, low toxicity in plasma levels. In addition to the 1298A > C polymorphism, they suggest it is also associated with lower risk of high-dose-MTX-associated leucopenia [28].

Unfortunately, it was not possible to examine all the genotyped patients relative to the G80A (RFCh) polymorphism. We show a small toxicity analysis in genotyped patients; however, the toxicity analysis (blood, kidney, and liver) suggests that the blood system has a toxicity degree more present among all the patients, presenting mainly leukopenia and thrombocytopenia. In the present study, we found that the 80AA genotype, although it had the lowest MTX plasma level up to 24 hours, showed a small reduction of MTX plasma concentrations in the period of 24 to 48 hours. Thus, we can suggest that patients carrying the 80AA genotype have a difficulty in metabolism of the chemotherapeutic to the transport the drug into the cell and, consequently, presentation of adverse effects. Chiusolo et al. [29] found in 54 patients with ALL a median age of 52 years (range 15–78 years); they found no influence of the G80A polymorphism on toxicity development and no correlation with MTX plasma levels (evaluated at 24 h and 48 h), but they point out a significant difference in overall survival rate according to genotypes; in fact, in the Kaplan–Meyer analysis, patients carrying the 80A variant had a better prognosis than the patients with the 80GG genotype, showing a better survival rate.

In our study, the patients with ALL-pediatric showed that the genotypic frequencies of the C677T polymorphism are similar to frequencies found in Egyptian, German and English populations, while the A1298C polymorphism showed frequency similar to Egyptian, French-Canadian, Italian, Japanese, and English populations [30].

Although there was no statistical significance for the A1298C polymorphism, the patients with mutant alleles (677T and 1298C) showed a better survival, suggesting that these polymorphisms could be involved in a prognostic good for leukemia.

Regarding to the G80A (RFCh) polymorphism, we show that up to 80 months of treatment, the patients with 80GG genotype had low survival. Chiusolo et al. [29] analyzed the overall survival of 49 patients, predominantly adult (15–78 years), noting a relation of worse survival in patients with 80GG genotype, but they did not identify the MTX toxicity related to genotypes.

In studies of population genetic, they show that the allele frequency varies considerably among different ethnic and geographical areas [4]. Moreover, our population is considered heterogeneous, originated from African, Caucasian, and Native American ancestral individuals. Compared to the studies of Thirumaran et al. [31] (174 Italian patients) and Thirumaran et al. [31] (460 german patients), our study found no association statistically significant for the A1298C polymorphism; this association is not only a difficulty just present in multiethnic populations, but also is observed in German children [31] and Korean adults [32].

However, further studies should approach the treatment time and protocol, analyzing the risks of the polymorphisms and the folate route in different pediatric populations, because it would be important to conduct a meta-analysis study in order to get an appropriate treatment for the patients with polymorphisms unfavorable to the leukemia treatment.

Conflict of Interests

The authors declare no conflict of interests.


  1. M. H. Cheok and W. E. Evans, “Acute lymphoblastic leukaemia: a model for the pharmacogenomics of cancer therapy,” Nature Reviews Cancer, vol. 6, no. 2, pp. 117–129, 2006. View at: Publisher Site | Google Scholar
  2. C. H. Pui and W. E. Evans, “Treatment of acute lymphoblastic leukemia,” The New England Journal of Medicine, vol. 354, no. 2, pp. 166–178, 2006. View at: Publisher Site | Google Scholar
  3. L. B. Bailey and J. F. Gregory III, “Polymorphisms of methylenetetrahydrofolate reductase and other enzymes: metabolic significance, risks and impact on folate requirement,” Journal of Nutrition, vol. 129, no. 5, pp. 919–922, 1999. View at: Google Scholar
  4. K. Robien and C. M. Ulrich, “5,10-Methylenetetrahydrofolate reductase polymorphisms and leukemia risk: a HuGE minireview,” American Journal of Epidemiology, vol. 157, no. 7, pp. 571–582, 2003. View at: Publisher Site | Google Scholar
  5. L. H. Matherly and I. D. Goldman, “Membrane transport of folates,” Vitamins and Hormones, vol. 66, pp. 403–456, 2003. View at: Publisher Site | Google Scholar
  6. G. M. Shaw, E. J. Lammer, H. Zhu, M. W. Baker, E. Neri, and R. H. Finnell, “Maternal periconceptional vitamin use, genetic variation of infant reduced folate carrier (A80G), and risk of spina bifida,” American Journal of Medical Genetics, vol. 108, no. 1, pp. 1–6, 2002. View at: Publisher Site | Google Scholar
  7. M. O. Cazé, D. Bueno, and M. E. Santos, “Referential study of a chemotherapy protocol for acute lymphocytic leukemia in childhood,” Revista HCPA, vol. 30, no. 1, pp. 5–12, 2010. View at: Google Scholar
  8. S. A. Miller, D. D. Dykes, and H. F. Polesky, “A simple salting out procedure for extracting DNA from human nucleated cells,” Nucleic Acids Research, vol. 16, no. 3, p. 1215, 1988. View at: Publisher Site | Google Scholar
  9. P. Frosst, H. J. Blom, R. Milos et al., “A candidate genetic risk factor for vascular disease: a common mutation in methylenetetrahydrofolate reductase,” Nature Genetics, vol. 10, no. 1, pp. 111–113, 1995. View at: Google Scholar
  10. P. M. Biselli, A. R. Guerzoni, E. M. Goloni-Bertollo, M. F. de Godoy, J. A. B. Abou-Chahla, and É. C. Pavarino-Bertelli, “MTHFR genetic variability on coronary artery disease development,” Revista da Associacao Medica Brasileira, vol. 55, no. 3, pp. 274–278, 2009. View at: Google Scholar
  11. A. Chango, N. Emery-Fillon, G. P. De Courcy et al., “A polymorphism (80G->A) in the reduced folate carrier gene and its associations with folate status and homocysteinemia,” Molecular Genetics and Metabolism, vol. 70, no. 4, pp. 310–315, 2000. View at: Publisher Site | Google Scholar
  12. R. De Jonge, W. J. E. Tissing, J. H. Hooijberg et al., “Polymorphisms in folate-related genes and risk of pediatric acute lymphoblastic leukemia,” Blood, vol. 113, no. 10, pp. 2284–2289, 2009. View at: Publisher Site | Google Scholar
  13. R. Aplenc, J. Thompson, P. Han et al., “Methylenetetrahydrofolate reductase polymorphisms and therapy response in pediatric acute lymphoblastic leukemia,” Cancer Research, vol. 65, no. 6, pp. 2482–2487, 2005. View at: Publisher Site | Google Scholar
  14. N. N. Nogueira, J. V. Parente, and S. M. Cozzolino, “Changes in plasma zinc and folic acid concentrations in pregnant adolescents submitted to different supplementation regimens,” Cadernos de Saúde Pública, vol. 19, no. 1, pp. 155–160, 2003. View at: Google Scholar
  15. C. A. P. da Silva, C. A. P. da Silva, Á. N. Atallah, N. Sass, E. T. R. Mendes, and S. Peixoto, “Evaluation of calcium and folic acid supplementation in prenatal care in São Paulo,” Sao Paulo Medical Journal, vol. 128, no. 6, pp. 324–327, 2010. View at: Google Scholar
  16. T. V. Pereira, M. Rudnicki, A. C. Pereira, M. S. Pombo-De-Oliveira, and R. F. Franco, “5,10-Methylenetetrahydrofolate reductase polymorphisms and acute lymphoblastic leukemia risk: a meta-analysis,” Cancer Epidemiology Biomarkers and Prevention, vol. 15, no. 10, pp. 1956–1963, 2006. View at: Publisher Site | Google Scholar
  17. A. F. Semsei, P. Antal, and C. Szalai, “Strengths and weaknesses of gene association studies in childhood acute lymphoblastic leukemia,” Leukemia Research, vol. 34, no. 3, pp. 269–271, 2010. View at: Publisher Site | Google Scholar
  18. R. F. Franco, B. P. Simões, L. G. Tone, S. M. Gabellini, M. A. Zago, and R. P. Falcão, “The methylenetetrahydrofolate reductase C677T gene polymorphism decreases the risk of childhood acute lymphocytic leukaemia,” British Journal of Haematology, vol. 115, no. 3, pp. 616–618, 2001. View at: Publisher Site | Google Scholar
  19. M. Krajinovic, S. Lamothe, D. Labuda et al., “Role of MTHFR genetic polymorphisms in the susceptibility to childhood acute lymphoblastic leukemia,” Blood, vol. 103, no. 1, pp. 252–257, 2004. View at: Publisher Site | Google Scholar
  20. B. G. Petra, J. Janez, and D. Vita, “Gene—gene interactions in the folate metabolic pathway influence the risk for acute lymphoblastic leukemia in children,” Leukemia and Lymphoma, vol. 48, no. 4, pp. 786–792, 2007. View at: Publisher Site | Google Scholar
  21. C. W. Zanrosso, A. Hatagima, M. Emerenciano et al., “The role of methylenetetrahydrofolate reductase in acute lymphoblastic leukemia in a Brazilian mixed population,” Leukemia Research, vol. 30, pp. 477–481, 2006. View at: Google Scholar
  22. I. Costea, A. Moghrabi, C. Laverdiere, A. Graziani, and M. Krajinovic, “Folate cycle gene variants and chemotherapy toxicity in pediatric patients with acute lymphoblastic leukemia,” Haematologica, vol. 91, no. 8, pp. 1113–1116, 2006. View at: Google Scholar
  23. S. Pakakasama, K. Kanchanakamhaeng, S. Kajanachumpol et al., “Genetic polymorphisms of folate metabolic enzymes and toxicities of high dose methotrexate in children with acute lymphoblastic leukemia,” Annals of Hematology, vol. 86, no. 8, pp. 609–611, 2007. View at: Publisher Site | Google Scholar
  24. N. Shimasaki, T. Mori, C. Torii et al., “Influence of MTHFR and RFC1 polymorphisms on toxicities during maintenance chemotherapy for childhood acute lymphoblastic leukemia or lymphoma,” Journal of Pediatric Hematology/Oncology, vol. 30, no. 5, pp. 347–352, 2008. View at: Publisher Site | Google Scholar
  25. L. Huang, W. J. E. Tissing, R. de Jonge, B. D. van Zelst, and R. Pieters, “Polymorphisms in folate-related genes: association with side effects of high-dose methotrexate in childhood acute lymphoblastic leukemia,” Leukemia, vol. 22, no. 9, pp. 1798–1800, 2008. View at: Publisher Site | Google Scholar
  26. H. Imanishi, N. Okamura, M. Yagi et al., “Genetic polymorphisms associated with adverse events and elimination of methotrexate in childhood acute lymphoblastic leukemia and malignant lymphoma,” Journal of Human Genetics, vol. 52, no. 2, pp. 166–171, 2007. View at: Publisher Site | Google Scholar
  27. S. Kishi, C. Cheng, D. French et al., “Ancestry and pharmacogenetics of antileukemic drug toxicity,” Blood, vol. 109, no. 10, pp. 4151–4157, 2007. View at: Publisher Site | Google Scholar
  28. B. Faganel Kotnik, I. Grabnar, P. Bohanec Grabar, V. Dolžan, and J. Jazbec, “Association of genetic polymorphism in the folate metabolic pathway with methotrexate pharmacokinetics and toxicity in childhood acute lymphoblastic leukaemia and malignant lymphoma,” European Journal of Clinical Pharmacology, vol. 67, no. 10, pp. 993–1006, 2011. View at: Publisher Site | Google Scholar
  29. P. Chiusolo, S. Giammarco, S. Bellesi et al., “The role of MTHFR and RFC1 polymorphisms on toxicity and outcome of adult patients with hematological malignancies treated with high-dose methotrexate followed by leucovorin rescue,” Cancer Chemotherapy and Pharmacology, vol. 69, no. 3, pp. 691–696, 2012. View at: Publisher Site | Google Scholar
  30. A. M. Kamel, H. S. Moussa, G. T. Ebid, R. R. Bu, and K. G. Bhatia, “Synergistic effect of methyltetrahydrofolate reductase (MTHFR) C677T and A1298C polymorphism as risk modifiers of pediatric acute lymphoblastic leukemia,” Journal of the Egyptian National Cancer Institute, vol. 19, no. 2, pp. 96–105, 2007. View at: Google Scholar
  31. R. K. Thirumaran, A. Gast, T. Flohr et al., “MTHFR genetic polymorphisms and susceptibility to childhood acute lymphoblastic leukemia,” Blood, vol. 106, no. 7, pp. 2590–2591, 2005. View at: Publisher Site | Google Scholar
  32. D. Oh, K. K. Nam, J. J. Moon et al., “Association of the 5,10-methylenetetrahydrofolate reductase (MTHFR C677T and A1298C) polymorphisms in Korean patients with adult acute lymphoblastic leukemia,” Anticancer Research, vol. 27, no. 5, pp. 3419–3424, 2007. View at: Google Scholar

Copyright © 2012 Dayse Maria Vasconcelos de Deus et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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