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Kyoung-Mu Lee

Publications and source records attributed to Kyoung-Mu Lee.

18 recordsLinked to original sources

Genetic polymorphisms of interleukin-1 beta (IL-1B) and IL-1 receptor antagonist (IL-1RN) and breast cancer risk in Korean women.

OBJECTIVE: To evaluate the potential role of genetic polymorphisms of interleukin-1 beta (IL-1B) and IL-1 receptor antagonist (IL-1RN) on breast cancer development, a hospital-based case-control study was conducted in Korea. METHODS: Histologically confirmed breast cancer cases (n = 560) and controls (n = 509) without cancer history were recruited from three teaching hospitals in Seoul between September 1998 and January 2002. Information on risk factors of breast cancer were collected by interviewed questionnaire. Genotypes of IL-1B (-31C/T) and IL-1RN (86 bp variable number tandom repeats in intron 2) were determined by PCR-CTPP (confronting two-pair primers) and PCR, respectively. Adjusted odds ratios (ORs) and 95% confidence intervals (CIs) were estimated by unconditional logistic regression model. RESULTS: The IL-1RN *2-allele was associated with decreased breast cancer risk with marginal significance (OR = 0.7, 95% CI = 0.48-1.05). The IL-1B CC or TC genotype was not associated with decreased risk of breast cancer (OR = 0.9, 95% CI = 0.65-1.16). However, combination of IL-1B C-allele (CT or CC) and IL-1RN *2-allele containing genotypes significantly decreased the risk of breast cancer (OR = 0.6, 95% CI = 0.39-0.99). A moderately decreasing trend of risk was observed as the number of 'putative low risk' allele increased (p for trend = 0.07). Suggestive combined effect on breast cancer risk was also observed between body mass index (BMI) and IL-1RN non-*2 allele: women with higher BMI and IL-1RN non-*2 allele had 1.7-fold higher risk than women with lower BMI and IL-1RN*2 genotypes. CONCLUSION: Our results suggest that genetic polymorphisms of interleukin-1 may play a role in the individual susceptibility for breast cancer development in Korean women.

Asian People↗

Association of paternal age at birth and the risk of breast cancer in offspring: a case control study.

BACKGROUND: Older paternal age may increase the germ cell mutation rate in the offspring. Maternal age may also mediate in utero exposure to pregnancy hormones in the offspring. To evaluate the association between paternal and maternal age at birth with the risk of breast cancer in female offspring, a case-control study was conducted in Korea. METHODS: Histologically confirmed breast cancer cases (n = 1,011) and controls (n = 1,011) with no present or previous history of cancer, matched on year of birth and menopausal status, were selected from several teaching hospitals and community in Seoul during 1995-2003. Information on paternal and maternal ages and other factors was collected by interviewed questionnaire. Odds ratio (OR) and 95% confidence interval (95% CI) were estimated by unconditional logistic regression model adjusting for family history of breast cancer in 1st or 2nd degree relatives, and lifetime estrogen exposure duration. RESULTS: The risk of breast cancer significantly increased as the paternal age increased (p for trend = 0.025). The association was stronger after controlling for maternal age; women whose fathers were aged >or=40 years at their birth had 1.6-fold increased risk of breast cancer compared with fathers aged <30 years. This association was profound in breast cancer cases in premenopausal women (OR = 1.9, 95% CI = 1.12-3.26, for paternal aged >or=40 vs. <30) (p for trend = 0.031). Although the risk of breast cancer increased as maternal age increased up to the intermediate, and then reduced; the risks in women whose mother were aged 25-29, 30-34, and >or=35 yrs at birth compared to women whose mothers were aged <25 years, were 1.2, 1.4, and 0.8, respectively, the trend was not significant (p for trend = 0.998). CONCLUSION: These findings suggest that older paternal age increases the risk of breast cancer in their female offspring.

Adult↗

Design issues in toxicogenomics using DNA microarray experiment.

The methods of toxicogenomics might be classified into omics study (e.g., genomics, proteomics, and metabolomics) and population study focusing on risk assessment and gene-environment interaction. In omics study, microarray is the most popular approach. Genes falling into several categories (e.g., xenobiotics metabolism, cell cycle control, DNA repair etc.) can be selected up to 20,000 according to a priori hypothesis. The appropriate type of samples and species should be selected in advance. Multiple doses and varied exposure durations are suggested to identify those genes clearly linked to toxic response. Microarray experiments can be affected by numerous nuisance variables including experimental designs, sample extraction, type of scanners, etc. The number of slides might be determined from the magnitude and variance of expression change, false-positive rate, and desired power. Instead, pooling samples is an alternative. Online databases on chemicals with known exposure-disease outcomes and genetic information can aid the interpretation of the normalized results. Gene function can be inferred from microarray data analyzed by bioinformatics methods such as cluster analysis. The population study often adopts hospital-based or nested case-control design. Biases in subject selection and exposure assessment should be minimized, and confounding bias should also be controlled for in stratified or multiple regression analysis. Optimal sample sizes are dependent on the statistical test for gene-to-environment or gene-to-gene interaction. The design issues addressed in this mini-review are crucial in conducting toxicogenomics study. In addition, integrative approach of exposure assessment, epidemiology, and clinical trial is required.

Computational Biology↗

Design issues in cross-sectional biomarkers studies: urinary biomarkers of PAH exposure and oxidative stress.

Cross-sectional biomarker studies can provide a snapshot of the frequency and characteristics of exposure/disease in a population at a particular point in time and, as a result, valuable insights for delineating the multi-step association between exposure and disease occurrence. Three major issues should be considered when designing biomarker studies: selection of appropriate biomarkers, the assay (laboratory validity), and the population validity of the selected biomarkers. Factors related to biomarker selection include biological relevance, specificity, sensitivity, biological half-life, stability, and so on. The assay attributes include limit of detection, reproducibility/reliability, inter-laboratory variation, specificity, time, and cost. Factors related to the population validity include the frequency or prevalence of markers, greater inter-individual variation than intra-individual variation, intra-class correlation coefficients (ICC), association with potential confounders, invasiveness of specimen collection, and subject selection. Three studies are selected to demonstrate different features of cross-sectional biomarker studies: (1) characterizing the determinants of the biomarkers (study I: urinary PAH metabolites and environmental particulate exposure), (2) relationship of multiple biomarkers of exposure and effect (study II: relationship between urinary PAH metabolites and oxidative stress), and (3) evaluating gene-environmental interaction (study III: effect of genetic polymorphisms of GSTM1 on the association of green tea consumption and urinary 1-OHPG levels in shipbuilding workers).

Anticarcinogenic Agents↗

Genetic polymorphisms of selected DNA repair genes, estrogen and progesterone receptor status, and breast cancer risk.

PURPOSE: Genetic polymorphisms of DNA repair genes seem to determine the DNA repair capacity, which in turn may affect the risk of breast cancer. To evaluate the role of genetic polymorphisms of DNA repair genes in breast cancer, we conducted a hospital-based case-control study of Korean women. EXPERIMENTAL DESIGN: We included 872 incident breast cancer cases and 671 controls recruited from several teaching hospitals in Seoul from 1995 to 2002. Twelve loci of selected DNA repair genes were genotyped by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (XRCC2 Arg188His, XRCC4 921G > T, XRCC6 1796G > T, LIG4 1977T/C, RAD51 135G > C, 172G > T, RAD52 2259C > T, LIG1 551A > C, ERCC1 8092A > C, 354C > T, hMLH1 -93G > A, and Ile219Val). RESULTS: We found that the RAD52 2259 CT or TT, hMLH1 -93 GG, and ERCC1 8092 AA genotypes were associated with breast cancer risk after adjustment for known risk factors [odds ratio (OR), 1.33; 95% confidence interval (95% CI), 1.02-1.75; OR, 1.31; 95% CI, 0.99-1.74; and OR, 0.58; 95% CI, 0.38-0.89, respectively]. When Bonferroni's method was used to correct for multiple comparisons for nine polymorphisms with P = 0.005, all of these associations were not significant. However, the effects of RAD52 2259 CT or TT and ERCC1 354 CT or TT genotypes were more evident for the estrogen/progesterone receptor-negative cases (OR, 2.03; 95% CI, 1.24-3.34 and OR, 1.99; 95% CI, 1.35-2.94, respectively). CONCLUSION: Our findings suggest that genetic polymorphisms of RAD52, ERCC1, and hMLH1 may be associated with breast cancer risk in Korean women.

Adaptor Proteins, Signal Transducing↗

Obesity and genetic polymorphism of ERCC2 and ERCC4 as modifiers of risk of breast cancer.

To evaluate the relationship of genetic polymorphisms of ERCC2 and ERCC4 genes, both involved in nucleotide excision repair (NER), and the risk of breast cancer, a hospital-based case-control study was conducted in Korea. Histologically confirmed breast cancer cases (n = 574) and controls (n = 502) with no present or previous history of cancer were recruited from three teaching hospitals in Seoul during 1995-2001. Information on selected characteristics was collected by interviewed questionnaire. ERCC2 Asp(312)Asn (G>A) was genotyped by single-base extension assay and ERCC4 Ser(835)Ser (T>C) by dynamic allele-specific hybridization system. Although no significant association was observed between the genetic polymorphisms and the risk of breast cancer, women with both ERCC2 A allele- and ERCC4 C allele-containing genotypes showed a 2.6-fold risk (95% CI: 1.02-6.48) of breast cancer compared to women concurrently carrying the ERCC2 GG and ERCC4 TT genotypes. The breast cancer risk increased as the number of "at risk" genotypes increased with a borderline significance (P for trend = 0.07). Interactive effect was also observed between ERCC4 genotype and body mass idnex (BMI) for the breast cancer risk; the ERCC4 C allele containing genotypes posed a 1.7-fold (95% CI: 0.96-2.93) breast cancer risk in obese women (BMI>25 kg/m(2)) with a borderline significance. Our finding suggests that the combined effect of ERCC2 Asp(312)Asn and ERCC4 Ser(835)Ser genotypes might be associated with breast cancer risk in Korean women.

Breast Neoplasms↗

Genetic polymorphism of CYP17 and breast cancer risk in Korean women.

CYP17 gene is involved in steroidogenesis and steroid metabolism. Epidemiologic results on the association between the CYP17 polymorphism and breast cancer risk have been inconsistent. We examined the association between the MspAI polymorphism at +27 relative to the start of transcription in the 5'-untranslated region of CYP17 gene and breast cancer risk in Korean women. Four hundred and sixty-two incident cases and 337 controls were recruited from three teaching hospitals in Seoul during 1994-2001. Polymorphism of the CYP17 gene was determined by a single base extension assay. Demographic and lifestyle characteristics were identified using structured questionnaire. Age-adjusted (aOR) and multivariate odds ratios (& mgr;OR) and 95% confidence intervals (CI) were estimated by unconditional logistic regression. The proportions of A1/A1, A1/A2 and A2/A2 genotypes among controls were 20.8%, 45.1% and 34.1%, respectively. Compared to the A1/A1 genotype, A1/A2 or A2/A2 genotype was not statistically significantly associated with overall breast cancer risk (i.e., mOR = 1.01, 95% CI = 0.69-1.47 and mOR = 0.76, 95% CI = 0.51-1.14, respectively). However, a significant association between CYP17 A2/A2 genotype and breast cancer was observed among women aged 50 years or less (mOR = 0.58, 95% CI = 0.34-0.99, P =0.04) and leaner women (body mass index < 22 kg/ m2) (mOR = 0.48, 95% CI = 0.23-0.97, P = 0.04). Our results suggest that genetic polymorphism in 5'-untranslated region of CYP17 might play a role in breast cancer development in Korean women among younger women aged less than 50 or leaner women with body mass index less than 22 kg/m2.

5' Untranslated Regions↗

Genetic polymorphisms of TGF-beta1 & TNF-beta and breast cancer risk.

OBJECTIVE: The proliferation of malignant breast epithelial cells is regulated by various stimuli including cytokines and growth factors, thus the variants of those genes may modify the breast cancer risk. To evaluate the potential influences of TGF-beta1 T29C and TNF-beta A252G gene polymorphisms on breast cancer risk, a case-control study was conducted in Korea. METHODS: Histologically confirmed breast cancer cases (n=560) and controls (n=509) with no previous history of cancer were recruited from three teaching hospitals in Seoul, Korea. Genotypes were determined by PCR-CTPP (polymerase chain reaction with confronting two-pair primers) method. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated by unconditional logistic regression model adjusting for age, body mass index, education, parity, age at first full-term pregnancy, and family history of breast cancer. RESULTS: The TGF-beta1 29C-allele containing genotypes posed an increased risk of breast cancer (OR=1.3, 95% CI=1.02-1.79), especially in postmenopausal women (OR=1.6, 95% CI=1.01-2.44). Similarly, the TNF-beta 252G-allele containing genotypes posed an increased risk of postmenopausal breast cancer (OR=1.7, 95% CI=1.09-2.55). The risk of postmenopausal breast cancer increased in parallel with the number of the risk genotypes (p for trend <0.01). When data were stratified by the presumed non-genetic risk factors, TGF-beta1 C-allele containing genotypes were found to increase breast cancer risk almost two-fold in postmenopausal women with greater than median body mass index (>22.8 kg/m2) (OR=1.9, 95% CI=1.04-3.37). CONCLUSION: The results of this study therefore suggest that polymorphisms of TGF-beta1 and TNF-beta genes may modify individual susceptibility to breast cancer in Korean women.

Breast Neoplasms↗

Face recognition using face-ARG matching.

In this paper, we propose a novel line feature-based face recognition algorithm. A face is represented by the Face-ARG model, where all the geometric quantities and the structural information are encoded in an Attributed Relational Graph (ARG) structure, then the partial ARG matching is done for matching Face-ARG's. Experimental results demonstrate that the proposed algorithm is quite robust to various facial expression changes, varying illumination conditions and occlusion, even when a single sample per person is given.

Algorithms↗

Genetic polymorphisms of ataxia telangiectasia mutated and breast cancer risk.

To evaluate the role of genetic polymorphisms of ataxia telangiectasia mutated (ATM) in the etiology of breast cancer, a hospital-based case-control study was conducted in Korea. Nine-hundred ninety-six histologically confirmed incident breast cancer cases and 1,181 cancer-free controls were recruited in Seoul between 1995 and 2003. Genotypes of the ATM polymorphisms-5144A > T, IVS21 + 1049T > C, IVS33 - 55T > C, IVS34 + 60G > A, and 3393T > G were determined by the 5'-nuclease assay. Individual haplotypes were estimated from genotype data by a Bayesian method. Five ATM alleles were found to be in strong linkage disequilibrium (D' > 0.82; P < 0.001). Haplotype frequencies were significantly different between cases and controls (chi2 test, P < 0.001). The ATM IVS21 + 1049 TC or CC, IVS34 + 60 GA or AA, and 3393 TG or GG genotypes were associated with increased breast cancer risk, particularly in premenopausal women [odds ratios (OR), 1.51; 95% confidence interval (CI), 1.11-2.05; OR, 1.42; 95% CI, 1.08-1.88; and OR, 1.37; 95% CI, 1.04-1.80, respectively]. Compared with diploid of TCCAG:TCCAG, the most common haplotype, the ATTGT:ATTGT was associated with decreased risk of breast cancer with borderline significance (OR, 0.77; 95% CI, 0.58-1.04) and TCCAG:ATCGT and ATTGT:ACCAG were associated with increased breast cancer risk (OR, 2.30; 95% CI, 1.18-4.48 and OR, 2.43; 95% CI, 1.1.07-5.52, respectively) after adjusting for age, education, age at first full-term pregnancy, parity, family history of breast cancer, alcohol consumption, and smoking. As the number of ATTGT haplotype decreased, the risk of breast cancer increased (P for trend < 0.01). Our results thus suggest that genetic polymorphisms of ATM play an important role in the development of breast cancer in Korean women.

Ataxia Telangiectasia Mutated Proteins↗

Genetic polymorphisms of SULT1A1 and SULT1E1 and the risk and survival of breast cancer.

We examined whether common single nucleotide polymorphisms (SNP) in SULT1A1 (c.779G>A, *14A>G, and *85C>T) and SULT1E1 (IVS1-447C>A, IVS4-1653T>C, and *959G>A) genes influenced the risk and survival of breast cancer. Our study population consisted of 989 histologically confirmed sporadic breast cancer patients and 1,054 controls without history of cancer recruited from three teaching hospitals in Seoul. Odds ratios (OR) and 95% confidence intervals (95% CI) were estimated by logistic regression model. In the survival analysis for 529 breast cancer patients with completed treatments, the hazard ratios (HR) were calculated with Cox proportional hazard model. Women with the SULT1E1 *959 GA/AA genotype had a moderately decreased breast cancer risk compared with those with the GG genotypes (OR, 0.8; 95% CI, 0.70-1.00). When the haplotypes were considered, the homozygous *959 AA genotype together with the IVS4-1653 T>C base change (CTA-CCA haplotype) was associated with halved breast cancer risk (OR, 0.5; 95% CI, 0.24-0.88) compared with the wild type CTG-CTG haplotype. No other significant overall association was observed between the SULT1A1 and SULT1E1 SNPs nor haplotypes and breast cancer risk. When stratified by survival, patients with the SULT1E1 IVS4-1653 TC/CC genotypes showed a >3-fold risk of recurrence (HR, 3.2; 95% CI, 1.39-7.48) compared with those with the TT genotype. Moreover, when the haplotypes were considered, the SULT1E1 *959 G>A base change together with the IVS4-1653 T>C base change (CTG-CCA haplotype) was associated with a >4-fold risk of breast cancer (OR, 4.2; 95% CI, 1.15-15.15). These findings suggest that genetic polymorphisms of SULT1E1 are associated with increased risk and a disease free survival of breast cancer in Korean women.

Adult↗

Genetic polymorphism of glutathione S-transferase P1 and breast cancer risk.

To evaluate the potential association between the GSTP1 genotype and the development of breast cancer, a hospital based case-control study was conducted on Korean women. The study population consisted of 171 histologically confirmed incident breast cancer cases and 171 age-matched controls with no present or previous history of cancer. PCR-RFLP was used for the GSTP1 genotyping and statistical evaluations were performed using an unconditional logistic regression model. Postmenopausal women with the GSTP1 Val allele were found to have a reduced risk of breast cancer (OR = 0.3, 95 % CI = 0.10-0.74). A significant interaction was observed between the GSTP1 genotype and alcohol consumption (p for interaction = 0.01); compared with never-drinking women with Ile/Ile genotype, ever-drinking women with the GSTP1 Val allele had almost a three-fold risk of breast cancer (OR = 2.9, 95 % CI = 1.05-7.85), whereas never-drinking women with Val allele had half this risk (OR = 0.5, 95 % CI = 0.27-0.93). Our findings suggest that the GSTP1 polymorphism influences individual susceptibility to breast cancer in the Korean women and this effect may be modified by alcohol consumption.

Adult↗

Gene-environment interactions between the smoking habit and polymorphisms in the DNA repair genes, APE1 Asp148Glu and XRCC1 Arg399Gln, in Japanese lung cancer risk.

APE1 (apurinic/apyrimidinic endonuclease 1) and XRCC1 (X-ray cross-complementing group 1) are DNA repair proteins that play important roles in the base excision repair (BER) pathway. Polymorphisms in their encoding genes are associated with altered DNA repair capacity and thus may impact on cancer risk. In the present case-control study with 178 Japanese incident lung cancer cases and 449 age- and sex-matched controls, we investigated the gene-environment interaction among APE1 Asp148Glu, XRCC1 Arg399Gln and smoking habit in lung cancer risk. The results were analyzed by using conditional logistic regression models, adjusted for age, sex and smoking status. The adjusted odds ratio for the current smokers with APE1 148Asp/Asp, Asp/Glu and Glu/Glu genotype as compared with the never smokers with the Asp/Asp genotype were 3.01 (95% CI 1.39-6.51, P = 0.005), 2.73 (95% CI 1.29-5.77, P = 0.008) and 7.33 (95% CI 2.93-18.3, P < 0.001), respectively. The gene-environment interaction between current smoking and APE1 148Glu/Glu genotype was statistically significant (OR 3.59, 95% CI 1.28-10.1, P = 0.015). When APE1 Asp148Glu and XRCC1 Arg399Gln polymorphisms were evaluated together, the adjusted odds ratios for the current smokers with 0-1, 2 and 3-4 of APE1 148Glu or XRCC1 399Gln alleles as compared with never smokers with the 0 of these alleles were 2.96 (95% CI 1.57-5.58, P = 0.001), 3.86 (95% CI 1.85-8.05, P < 0.001) and 6.01 (95% CI 2.25-16.1, P < 0.001), respectively. The gene-environment interaction between current smoking and three or more APE1 148Glu or XRCC1 399Gln alleles was statistically significant (OR 2.44, 95% CI 1.00-9.22, P = 0.049). The OR for the gene-environment interaction of Glu/Glu genotype of APE1 codon 148 with heavy smoking was 1.04 (95% CI 0.38-2.90, P = 0.936) and that with light smoking was 2.67 (95% CI 1.00-7.68, P = 0.049). These results suggest that APE1 Asp148Glu and XRCC1 Arg399Gln polymorphisms might modify the risk of lung cancer attributable to cigarette smoking exposure.

Adult↗

Prevalence and risk factors of distal radius and calcaneus bone mineral density in Korean population.

To estimate the prevalence and the related risk factors of low bone mineral density of the calcaneus and the distal radius, a community-based study was conducted in three rural areas of Korea. A total of 1420 women and 732 men aged 40 years and older participated in this study. Information on sociodemographic characteristics and the potential risk factors for osteoporosis were collected by an interviewer-administered standardized questionnaire. Bone mineral density (BMD) of the calcaneus and the distal radius were measured by dual-energy X-ray absorptiometry (DXA). Three hundred and seventeen women and 183 men aged 20-29 years who participated in a regular health check-up were used as a reference population. Osteoporosis was defined using WHO criteria. Odds ratios of the risk factors of osteoporosis were calculated by the unconditional logistic regression model. The standardized prevalence of osteoporosis of the calcaneus was 8.4% for males and 27.3% for females using the Korean population of year 2000 as a standard population. The standardized prevalence of osteoporosis of the distal radius was 4.2% for males and 18.8% for females. Older age and lower body mass index (BMI) were related with low BMD in both the calcaneus and distal radius in males and females. The duration after menopause and the number of live births were an independent risk factor for osteoporosis of the calcaneus (OR = 1.1, 95% CI = 1.00-1.11; the duration after menopause; OR = 2.0, 95% CI = 1.20-3.35, the number of live birth) and a familial history of non-traumatic fractures or osteoporosis among the first-degree relatives was significantly related to a increased risk of osteoporosis of the distal radius in females (OR = 2.9, 95% CI = 1.36-6.31).

Adult↗

Genetic polymorphisms of GSTM1, p21, p53 and HPV infection with cervical cancer in Korean women.

OBJECTIVES: The aim of this study was to determine whether GSTM1 or GSTT1 might be associated with risk of cervical cancer development in Korean women. The multiplicative interaction of GSTM1 and GSTT1 genotype with p21, p53 polymorphism, and HPV genotype was also investigated. METHODS: From 1997 to 1999, uterine cervical carcinoma was diagnosed in 215 Korean women at the Department of Obstetrics and Gynecology of Seoul National University Hospital. None of the women in the control groups (n = 98) had any evidence of cervical lesions, which were confirmed by Pap smear. Finally, 81 cases and 86 controls were genotyped for p21, p53, and GSTM1 and T1 and HPV infection. A multiplex PCR method was used for the genotyping of GSTM1 and GSTT1; direct sequencing for p53 codon 72, high-risk HPV, and PCR-RFLP (BsmAI) for p21 codon. The unconditional logistic regression analysis was used to calculate ORs and 95% CI. RESULTS: Although the GSTM1 and GSTT1 genotype was not significantly associated with cervical cancer development for all women, the GSTM1 null genotype was significantly associated with an increased risk of cervical cancer development in women with high-risk HPV infection (OR = 2.9, 95% CI: 1.0-8.2). Although the frequency of overall GSTT1 null genotype was significantly lower in cervical carcinoma patients with high-risk HPV infection (OR = 0.3, 95% CI: 0.1-1.0), almost 2-fold increased risk was observed among women with GSTT1 null and Arg/Arg genotype (OR = 1.9, 95% CI: 0.7-5.4). Although the cervical cancer risk was 3.3-fold increased in women with null and Arg/Arg genotype compared to women with GSTM1 present and p21 Ser-containing genotype, there was no significant multiplicative interaction between GSTM1 and p21 (P for interaction = 0.785) or p53 (P for interaction = 0.815). CONCLUSIONS: These findings suggest that the risk of cervical cancer may be related to GSTM1 genotype in women with high-risk HPV infection and that there is a possible gene-gene interaction in the incidence of cervical cancer.

Female↗

N-acetyltransferase (NAT1, NAT2) and glutathione S-transferase (GSTM1, GSTT1) polymorphisms in breast cancer.

To evaluate the potential association between NAT1/NAT2 polymorphisms and breast cancer, a case-control study was conducted in Korean women (254 cases, 301 controls). NAT1 *4/*10 genotype (42%) was the most common NAT1 genotype in this Korean population. The frequencies of slow, intermediate and rapid NAT2 acetylator genotype were 16, 39 and 44% in cases and 16, 42 and 42% in controls. Neither NAT1 rapid (homozygous or heterozygous NAT1 *10) (OR=1.2, 95% CI=0.8-1.9) nor NAT2 rapid acetylator genotype (OR=1.2, 95% CI=0.8-1.7) showed significant association with breast cancer risk. Although the risk of NAT2 rapid acetylator genotype in postmenopausal women (OR=1.4, 95% CI=0.7-2.8) was higher than that in premenopausal women (OR=1.1, 95% CI=0.7-1.7), those were not statistically significant. However, combinations of NAT1, GSTM1 and GSTT1 genotypes showed a significant linear gene-dosage relationship with breast cancer (p for trend=0.04) and those women with NAT2 rapid acetylator and both GSTM1 and GSTT1 null genotypes were at the elevated risk (OR=3.1, 95% CI=1.0-9.1). These results suggest that genetic polymorphisms of NAT1 and NAT2 have no independent effect on breast cancer risk, but they modulate breast cancer risk in the presence of GSTM1 and GSTT1 null genotypes.

Acetyltransferases↗

Reproductive factors, glutathione S-transferase M1 and T1 genetic polymorphism and breast cancer risk.

We conducted a hospital-based case-control study to evaluate the interactive effect of reproductive factors and glutathione S-transferase (GST) M1 and T1 genetic polymorphisms in individual susceptibility to breast cancer. The study population consisted of 189 incident breast cancer cases and 189 age-matched controls with no known malignant diseases. GSTM1/T1 genotypes were determined by a multiplex polymerase chain reaction (PCR) method, and odds ratios (ORs) and 95% confidence intervals (CIs) were calculated by conditional logistic regression model. The parity factors were grouped as (1) high-risk status defined as nullipara or para with experience of first full-term pregnancy (FFTP) at or over 30 years, and (2) low-risk status defined as para with experience of FFTP under 30 years. A significant multiplicative interaction was observed between GSTM1 and GSTT1 null genotypes and high-risk status of parity factor in all women and in premenopausal women (P < or = 0.01), but not in postmenopausal women (P > 0.05). The interaction between the combined genotypes of GSTM1 and GSTT1 and status of parity factor was also significant in all women and in premenopausal women (P < 0.01). Our findings suggest that genetic polymorphisms GSTM1/T1 could modify estrogen-related breast cancer risk.

Breast Neoplasms↗

CYP2E1 and NQO1 genotypes, smoking and bladder cancer.

BACKGROUND: Cytochrome P450 2E1 (CYP2E1) and NAD(P)H:quinone oxidoreductase (NQO1) catalyze the activation of some environmental procarcinogens present in tobacco smoke (i.e. nitrosoamines and heterocyclic amines). We conducted a hospital based case-control study to evaluate the potential association between genetic polymorphisms of CYP2E1 (C1019T in the 5' flanking region) and NQO1 (C609T in exon 6) and bladder cancer risk in Asian population. METHODS: The study population was comprised of 218 histologically confirmed prevalent bladder cancer cases and 199 controls without cancer or systemic illness. PCR-restriction fragment length polymorphism based methods were used for the genotyping analyses and unconditional logistic regression model for the statistical evaluations. RESULTS: The risk of bladder cancer increased with the amount of smoking (P for trend < 0.01). The frequency of CYP2E1 c1/c1 genotype was significantly higher in bladder cancer patients (57.9%) than in the controls (47.9%) (OR = 1.8, 95% CI = 1.1-2.9). Similarly, the NQO1 C/C genotypes were significantly more prevalent in the patients (45.8%) than in the controls (37.6%) (OR = 1.6, 95% CI = 1.0-2.7). The risk for bladder cancer increased with the number of the putative risk genotypes (P for trend = 0.03); the most remarkable risk was observed for heavy smokers with both CYP2E1 c1/c1 and NQO1 C/C genotypes (OR = 13.8, 95% CI = 3.9-48.6) when compared to non/light smokers with other genotypes. CONCLUSION: Our findings suggest that CYP2E1 and NQO1 genotypes may play an important role in development of smoking related bladder cancer among Korean men.

Asian People↗