Gene-gene interactions in the folate metabolic pathway influence the risk for acute lymphoblastic leukemia in children

Methionine synthase A2756G polymorphism and cancer risk: a meta-analysis

Polymorphisms in methionine synthase (MTR) gene may be involved in carcinogenesis by affecting DNA methylation. However, association studies on MTR A2756G polymorphism in cancers have reported conflicting results. Therefore we performed a meta-analysis to better assess the associations. A total of 24 896 cancer patients and 33 862 controls from 52 articles for MTR A2756G were investigated. Overall, individuals carrying MTR 2756GG genotype had a subtly reduced cancer risk under a recessive genetic model (odds ratio (OR), 0.92; P=0.053; 95% confidence interval (95% CI), 0.84-1.00; I(2)=0.0%; P(heterogeneity)=0.61). In the subgroup analyses by ethnicity, 2756GG was associated with a significantly reduced cancer risk in European populations (OR, 0.83; P=0.001; 95% CI, 0.74-0.93; I(2)=0.0%; P(heterogeneity)=0.99). However, in Asian populations, a significantly elevated association between 2756GG genotype and cancer risk was observed (OR, 1.33; P=0.012; 95% CI, 1.06-1.65; I(2)=0.0%; P(heterogeneity)=0.50). In studies stratified by tumor site, there was a significantly reduced risk of acute lymphoblastic leukemia (ALL) (OR, 0.54; P=0.049; 95% CI, 0.29-1.00; I(2)=10.7%; P(heterogeneity)=0.33) and colorectal cancer (OR, 0.63; P=0.004; 95% CI, 0.47-0.87; I(2)=0.0%; P(heterogeneity)=0.73) in European populations. Our study indicates that MTR A2756G polymorphism is a candidate gene polymorphism for cancer susceptibility regardless of environmental factors. Large-scale, well-designed, and population-based studies are required to further investigate gene-gene and gene-environment interactions on MTR A2756G polymorphism and tissue-specific cancer risk in an ethnicity-specific population.

Genetic susceptibility to childhood acute lymphoblastic leukemia shows protection in Malay boys: results from the Malaysia-Singapore ALL Study Group

To study genetic epidemiology of childhood acute lymphoblastic leukemia (ALL) in the Chinese and Malays, we investigated 10 polymorphisms encoding carcinogen- or folate-metabolism and transport. Sex-adjusted analysis showed NQO1 609CT significantly protects against ALL, whilst MTHFR 677CT confers marginal protection. Interestingly, we observed that NQO1 609CT and MTHFR 1298 C-allele have greater genetic impact in boys than in girls. The combination of SLC19A1 80GA heterozygosity and 3'-TYMS -6bp/-6bp homozygous deletion is associated with reduced ALL risk in Malay boys. Our study has suggested the importance of gender and race in modulating ALL susceptibility via the folate metabolic pathway.

Childhood cancer among twins and higher order multiples

Although several studies have found no change or a decreased risk of childhood cancer in twins, few have controlled for potential confounders such as birth weight. We examined the association of birth plurality and childhood cancer in pooled data from five U.S. states (California, Minnesota, New York, Texas, and Washington) using linked birth-cancer registry data. The data, excluding children with Down syndrome or who died before 28 days of life, included 17,672 cases diagnosed from 1980 to 2004 at ages 28 days to 14 years and 57,966 controls with all cases and controls born from 1970 to 2004. Analyses were restricted to children weighing Collapse

Key Words

• childhood cancer
• twins
• multiple birth
• case-control
• pooled data

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MESH Headings

• Adolescent
• Case-Control Studies
• Child
• Child, Preschool
• Diseases in Twins/epidemiology
• Female
• Humans
• Infant
• Infant, Newborn
• Kidney Neoplasms/epidemiology
• Logistic Models
• Male
• Multiple Birth Offspring
• Neoplasms/epidemiology
• Registries
• Retinal Neoplasms/epidemiology
• Retinoblastoma/epidemiology
• Risk Factors
• United States/epidemiology
• Wilms Tumor/epidemiology

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Grants

• R01CA717450 NCI NIH HHS
• R01 CA092670-04 NCI NIH HHS
• U58 DP000783 NCCDPHP CDC HHS
• R01CA92670 NCI NIH HHS
• R01 CA092670 NCI NIH HHS
• T32 CA099936-04 NCI NIH HHS
• N01 CN005230 NCI NIH HHS
• R01 CA071745-04 NCI NIH HHS
• T32 CA099936 NCI NIH HHS

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Affiliation(s)

Susan E. Puumala Division of Epidemiology/Clinical Research, Department of Pediatrics, University of Minnesota
Susan E. Carozza Department of Epidemiology and Biostatistics, Texas A&M University
Eric J. Chow Fred Hutchinson Cancer Research Center
Erin E. Fox Cancer Epidemiology and Surveillance Branch, Texas Department of State Health Services
Scott Horel Department of Epidemiology and Biostatistics, Texas A&M University
Kimberly J. Johnson Division of Epidemiology/Clinical Research, Department of Pediatrics, University of Minnesota
Colleen McLaughlin New York State Cancer Registry, New York Department of Health
Beth A. Mueller Fred Hutchinson Cancer Research Center
Peggy Reynolds Northern California Cancer Center
Julie Von Behren Northern California Cancer Center
Logan G. Spector Division of Epidemiology/Clinical Research, Department of Pediatrics, University of Minnesota Masonic Cancer Center, University of Minnesota

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Genetic susceptibility to childhood leukaemia

The aetiology of leukaemias among children is believed to be distinct from that of adults, mainly due to the clearer role for early life exposures, including those in utero. However, few risk factors have been established, because of the challenge of studying a disease with relatively low incidence. Identified risk factors, including ionizing radiation, chemotherapeutic agents and specific genetic abnormalities, explain < 10% of incidence. Although the causes for the remaining 90% are unknown, it is possible that genetic susceptibility factors, either alone or in conjunction with environmental factors, may be involved. In this paper, the authors (a) review the evidence surrounding genetic susceptibility factors, with emphasis on the genes' main effects; (b) review some recent developments in the Northern California Childhood Leukaemia Study (NCCLS) as a case study of design and practical considerations in genetic epidemiology research and (c) highlight both challenges and future directions in this exciting research area.