Gene/Protein Disease Symptom Drug Enzyme Compound
Pivot Concepts:   Target Concepts:
Query: EC:1.6.5.2 (NQO1)
 6,196 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Somatic genetic alterations in tumors are known to correlate with survival, but little is known about the prognostic significance of germ-line variation. We assessed the effect of germ-line variation on survival among women with breast cancer participating in a British population-based study. Up to 2430 cases for whom current vital status data were available were screened for BRCA1/2 mutations and genotyped for polymorphisms in 22 DNA repair, hormone metabolism, carcinogen metabolism, and other genes. The effect of genotype on outcome was assessed by Cox regression analysis. The largest effect was observed for the silent polymorphism D501D (t>c) in LIG4, a gene involved in DNA double-strand break repair. The estimated hazard ratio (HR) in cc homozygotes relative to tt homozygotes was 4.0 (95% confidence interval, 2.1-7.7; P = 0.002), and this effect remained after stratification by stage, grade, and tumor type [HR, 4.2 (1.8-9.4); P = 0.01]. Total length of a CYP19 IVS4 (ttta)(n) repeat was also associated with survival [HR, 0.9 (0.8-1.0); P = 0.01], but this became nonsignificant after stratification by stage, grade, and tumor type. Poorer survival was observed for 10 BRCA1 mutation carriers [HR, 4.1 (1.3-13); P = 0.047]; however, after adjustment for known prognostic factors, the HR estimate decreased to 2.0 and became nonsignificant (P = 0.4). CYP17 (P = 0.05) and TP53 (P = 0.06) polymorphisms showed marginally significant associations in unstratified analyses. No effect on survival was seen for polymorphisms in ATM, BRCA1/2, CHK2, KU70, NBS1, RAD51, RAD52, XRCC3, AR, COMT, NQO1, VDR, ADH3, CYP1A1, GSTP1, TGF-beta, or CDH1. Even if confirmed, the prognostic markers identified in this study are unlikely to replace current markers of prognosis such as estrogen receptor status. However, our results demonstrate the potential of the analysis of germ-line variation to provide insight into the biological determinants of response to treatment and prognosis in breast cancer.
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PMID:Effect of germ-line genetic variation on breast cancer survival in a population-based study. 1203 13

This paper lists the genotype frequencies of 50 polymorphisms of 37 genes (ALDH2, ADRB2, ADRB3, COMT, CD36, CXCR2, CCND1, COX2, CYP2A6, CYP17, CYP19, IGF1, IL-1A, IL-1B, IL-1RN, IL-1R1, IL-6, IL-8, IL-10, LEP, Le, L-myc, MPO, MTR, MTHFR, MAO-A, NQO1, OGG1, p53, p73, Se, SRD5A2, TGF-B, TNF-A, TNF-B, XPD, and XRCC1) and 6 sets of combined genotype frequencies for 241 non-cancer Japanese outpatients. Though the genotype frequencies of 25 polymorphisms have already been reported in our previous papers, 15 polymorphisms (CD36 A52C, CXCR2 C785T, CCND1 G870A, IGF1 C/T at intron 2 and G2502T, IL-1A 46-bp VNTR, IL-1R1 C-116T, IL-6 Ins/Del 17C, IL-8 A-278T and C74T, IL- 10 T-819C, LEP A-2548G, SRD5A2 2-bp VNTR, XPD Lys751Gln, and XRCC1 Arg399Gln) and six sets of combined genotype frequencies (IL-1B C-31T and IL-1A C-889T, IL-1B C-31T and IL-1RN 86-bp VNTR, IL-1B C-31T and IL-1R1 C-116T, TNF-A G-308A and TNF-B A252G, SRD5A2 Val89Leu and 2-bp VNTR, and XRCC1 Arg399Gln and XPD Lys751Gln) were reported in this paper for the first time for Japanese. Although microarray technology will produce this kind of information in near future, this is the first document that reports the genotype/allele frequencies among Japanese for an archival purpose.
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PMID:Genotype frequencies of 50 polymorphisms for 241 Japanese non-cancer patients. 1216 25

Allele frequencies are rather constant among different ethnic groups in many genetic polymorphisms, but some polymorphisms vary in the allele frequency depending on the time when the germ-line base exchanges occurred in the history of humans and on the adaptability of the phenotypes to given environment. This review documented the allele frequencies of polymorphisms pertaining to cancer risk for Japanese, Koreans, and Chinese. Twenty-five polymorphisms of 21 genes whose allele frequencies were available for at least two out of the three ethnic groups were selected. They were ALDH2 Glu487Lys, COMT Val158Met, CYP1A1 MspI and Val/Ile, CYP1B1 Leu432Val, CYP2E1 RsaI, CYP17 T-34C, ER C975G, GSTM1, GSTT1, GSTP1 Ile105Val, IL-1B C-511T, IL-1RN 86-bp VNTR (variable number of tandem repeats), MTHFR C677T and A1298C, NAT1, NAT2, NQO1 Pro187Ser, OGG1 Ser326Cys, p21 Ser31Arg, p53 Arg72Pro, TNF-A G-308A and G-238A, and XRCC1 Arg194Trp and Arg399Gln. The allele frequencies were found for 24 in Japanese, 16 in Koreans, and 24 in Chinese. All of the polymorphisms had similar allele frequencies for these ethnic groups, except the following polymorphisms; ALDH2 Glu487Lys whose Lys allele was more common for Japanese and Taiwanese, COMT Val158Met whose Met allele was more common for Japanese, and NAT2 rapid/slow whose slow alleles were more common for Chinese. When compared with the allele frequencies among Caucasians, the following minor alleles were more frequent among Japanese/Koreans/Chinese; ALDH2 478Lys, CYP1A1 m1 and m2, CYP2E1 c2, ER 975G, GSTT1 null, NAT1 *10, NQO1 187Ser, OGG1 326Cys, p21 31Arg, and XRCC1 194Trp, and less frequent in COMT 158Met, GST-P1 105Val, IL-1RN non-4R, MTHFR 1298C, and TNF-A -308A. The differences in genetic background may affect the impact on the lifestyle factors and/or genotypes examined in epidemiological studies. However, the influences of the variations in the allele frequency seemed to be limited among Japanese, Koreans, and Chinese. The substantial differences in the allele frequency from Caucasians could modify the influences of lifestyle factors and polymorphism genotypes, resulting in the inconsistent results of epidemiologic studies.
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PMID:Allele Frequencies of 25 Polymorphisms Pertaining to Cancer Risk for Japanese, Koreans and Chinese. 1271 76

Previous studies suggest that enzymes involved in the androgen metabolic pathway are susceptibility factors for prostate cancer. Estrogen metabolites functioning as genotoxins have also been proposed as risk factors. In this study, we systematically tested the hypothesis that common genetic variations for those enzymes involved in the androgen and estrogen metabolic pathways increase risk for sporadic and familial prostate cancer. From these two pathways, 46 polymorphisms (34 single nucleotide polymorphisms, 10 short tandem repeat polymorphisms, and 2 null alleles) in 25 genes were tested for possible associations. Those genes tested included PRL, LHB, CYP11A1, HSD3B1, HSD3B2, HSD17B2, CYP17, SRD5A2, AKR1C3, UGT2B15, AR, SHBG, and KLK3 from the androgen pathway and CYP19, HSD17B1, CYP1A1, CYP1A2, CYP1B1, COMT, GSTP1, GSTT1, GSTM1, NQO1, ESR1, and ESR2 from the estrogen pathway. A case-control study design was used with two sets of cases: familial cases with a strong prostate cancer family history (n = 438 from 178 families) and sporadic cases with a negative prostate cancer family history (n = 499). The controls (n = 493) were derived from a population-based collection. Our results provide suggestive findings for an association with either familial or sporadic prostate cancer with polymorphisms in four genes: AKR1C3, HSD17B1, NQO1, and GSTT1. Additional suggestive findings for an association with clinical variables (disease stage, grade, and/or node status) were observed for single nucleotide polymorphisms in eight genes: HSD3B2, SRD5A2, SHBG, ESR1, CYP1A1, CYP1B1, GSTT1, and NQO1. However, none of the findings were statistically significant after appropriate corrections for multiple comparisons. Given that the point estimates for the odds ratio for each of these polymorphisms are <2.0, much larger sample sizes will be required for confirmation.
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PMID:Evaluation of genetic variations in the androgen and estrogen metabolic pathways as risk factors for sporadic and familial prostate cancer. 1750 24

To explore the potential role for estrogen in lung cancer susceptibility, candidate single-nucleotide polymorphism (SNPs) in tobacco and estrogen metabolism genes were evaluated. Population-based cases (n = 504) included women aged 18-74, diagnosed with NSCLC in metropolitan Detroit between November 2001 and October 2005. Population-based controls (n = 527) were identified through random digit dialing and matched on race and age. Eleven SNPs in 10 different genes were examined in relation to risk: CYP1A1 Msp1, CYP1A1 Ile462Val, CYP1B1 Leu432Val, CYP17, CYP19A1, XRCC1 Gln399Arg, COMT Val158Met, NQO1 Pro187Ser, GSTM1, GSTT1 and GSTP1 Ile105Val. Lung cancer risk associated with individual SNPs was seen for GSTP1 [A allele; odds ratio (OR) = 1.85; 95% confidence interval (CI), 1.04-3.27] and XRCC1 (A/A genotype; OR = 1.68; 95% CI, 1.01-2.79) in white women and CYP1B1 (G allele; OR = 11.1; 95% CI, 1.18-104) in black women smokers. White women smokers carrying two risk genotypes at the following loci were at increased risk of lung cancer compared with individuals not carrying risk alleles at these loci: CYP17 and GSTM1, COMT and GSTM1, CYP17 and GSTT1, XRCC1 and GSTP1, CYP1B1 and XRCC1 and COMT and XRCC1. The most parsimonious model of lung cancer risk in white smoking women included age, family history of lung cancer, history of chronic lung disease, pack-years, body mass index, XRCC1 A/A genotype, GSTM1 null and COMT A/G or G/G genotype. These findings support the need for continued study of estrogen in relation to lung cancer risk. Polymorphisms in the tobacco metabolism, estrogen metabolism and DNA repair pathways will be useful in developing more predictive models of individual risk.
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PMID:Tobacco and estrogen metabolic polymorphisms and risk of non-small cell lung cancer in women. 1917 90

Estrogen and its metabolites are believed to play important roles in breast cancer, and its determinants include both genetic and lifestyle factors. The objective of the study is to investigate the association of breast cancer risk in Thailand with genetic polymorphisms in several genes involved in estrogen synthesis and metabolism. Five hundred and seventy patients with histopathologically confirmed breast cancer and 497 controls were included in the present study. Forty single nucleotide polymorphisms (SNPs) in the CYP1A1, CYP1A2, CYP1B1, CYP17, CYP19, CYP2C9, CYP2C19, AhR, ESR1, PGR, ERRG, COMT, HSD17B1, HSD17B2, EPHX1 and NQO1 genes were genotyped. Association of genotypes with breast cancer risk was evaluated using multivariate logistic regression, which suggested an altered risk for the following SNPs [gene, odds ratio (OR) and 95% confidence interval are shown]: heterozygote carriers of rs4917623 [CYP2C19, OR = 1.38 (1.04-1.84)], rs2066853 [AhR, OR = 1.34 (1.02-1.76)] and rs1857407 [ERRG, (OR = 0.72 (0.55-0.96)]; homozygote carriers of rs762551 [CYP1A2, OR = 2.75 (1.47-5.14)], rs4917623 [CYP2C19, OR = 1.48 (1.00-2.19) and rs945453 [ERRG, OR = 1.66 (1.04-2.65)]. In addition, a stratified analysis by menopausal status indicated that the association of the CYP1A2 (rs762551) and CYP17 (rs743572) polymorphisms with breast cancer risk were mainly evident in premenopausal, while ERRG (rs1857407) was significant in postmenopausal women. These findings suggest that CYP1A2, CYP2C19, AhR, ERRG and CYP17 polymorphisms may play an important role in estrogen metabolism and modify individual susceptibility to breast cancer in Thai women.
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PMID:Genetic polymorphisms of estrogen metabolizing enzyme and breast cancer risk in Thai women. 1941 45

Genetic polymorphisms described for a number of enzymes involved in the metabolism of tobacco carcinogens and alcohol have been linked to increase cancer risk. Racial disparities in cancer between whites and populations of African descent are well documented. In addition to differences in access to health care, both environment and genetic factors and their interaction may contribute to the increased cancer risk in minority populations. We reviewed the literature to identify case-control studies that included subjects of African descent. Meta-analyses investigating the association of genetic polymorphisms in tobacco metabolic genes and cancer were performed. Although several genes and cancers have been studied, only one or two studies per gene for each cancer site have been published, with the exception of breast (CYP1A1 and CYP1B1), lung (GSTM1, CYP1A1, and NQO1), and prostate (CYP3A4 A293G and CYP17). Marginal statistically significant associations were observed for CYP3A4 A293G and CYP17 5'UTR polymorphisms and prostate cancer. Our findings support the need for additional genetic association studies of breast, prostate, and lung cancers that include a larger number of minority participants. Because incidence and mortality rates for these cancers rank highest among populations of African descent, concentrated research in these areas are warranted.
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PMID:Review of studies on metabolic genes and cancer in populations of African descent. 2002 11