Literature DB >> 1976046

Human debrisoquine hydroxylase gene polymorphisms in cancer patients and controls.

H Sugimura1, N E Caporaso, G L Shaw, R V Modali, F J Gonzalez, R N Hoover, J H Resau, B F Trump, A Weston, C C Harris.   

Abstract

The extensive metabolizer phenotype of debrisoquine has been associated with increased risk of lung cancer, and it has been proposed that a molecular test for this phenotype is feasible. DNA restriction fragment length polymorphisms of the human debrisoquine 4-hydroxylase gene locus (CYP2D6), and the metabolic phenotype for debrisoquine have been studied in a group of healthy volunteers, a group of lung cancer patients and two control groups (chronic obstructive pulmonary disease patients and patients with cancers at sites other than the lung). Confirmation of four distinct XbaI allelic fragments (44, 29, 16/9 and 11.5 kb), previously identified among caucasians, was obtained. The 29 kb alleles were the most frequently observed in both poor and extensive metabolizers of debrisoquine. Alleles of 44 kb were found with approximately equal frequency among both poor and extensive metabolizers. The data are consistent with the hypothesis that the 11.5 and 44 kb fragments are associated with mutant alleles of the CYP2D6 gene, but the power of phenotype prediction by these alleles was less than that previously reported for a European (Swiss-German) population. Similarly, the data also show that 8% of 29 kb homozygotes are poor metabolizers (indicating that at least 28% of 29 kb fragments are also associated with mutant alleles) and are not therefore informative for predicting the debrisoquine phenotype. The 16/9 allele may represent either wild-type or mutant alleles. Restriction fragments of 44 kb were found more frequently among cancer patients and chronic obstructive pulmonary disease patients (30%) than among the healthy volunteer group (7%). Genotypes observed were not related to lung tumor histology. Furthermore, at least three EcoRI alleles were found to be in linkage disequilibrium with the 'mutant' 44 kb allele. These data suggest that the 44 kb allele can comprise three distinct haplotypes, in contrast to studies of a European population. These studies indicate that no single mutant CYP2D6 allele as determined by EcoRI appears to be associated with lung cancer, despite the findings that these patients are invariably of the extensive metabolizer phenotype.

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Year:  1990        PMID: 1976046     DOI: 10.1093/carcin/11.9.1527

Source DB:  PubMed          Journal:  Carcinogenesis        ISSN: 0143-3334            Impact factor:   4.944


  7 in total

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Authors:  Chikako Kiyohara; Taro Shirakawa; Julian M Hopkin
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2.  Identification of class-mu glutathione transferase genes GSTM1-GSTM5 on human chromosome 1p13.

Authors:  W R Pearson; W R Vorachek; S J Xu; R Berger; I Hart; D Vannais; D Patterson
Journal:  Am J Hum Genet       Date:  1993-07       Impact factor: 11.025

3.  Mutant genes of cytochrome P-450IID6, glutathione S-transferase class Mu, and arylamine N-acetyltransferase in lung cancer patients.

Authors:  I Roots; J Brockmöller; N Drakoulis; R Loddenkemper
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4.  Molecular epidemiological study of non-small-cell lung cancer from an environmentally polluted region of Poland.

Authors:  M Rusin; D Butkiewicz; E Malusecka; A Zborek; J Harasim; K Czyzewski; W P Bennett; P G Shields; A Weston; J A Welsh; S Krzyzowska-Gruca; M Chorazy; C C Harris
Journal:  Br J Cancer       Date:  1999-07       Impact factor: 7.640

Review 5.  Pharmacogenetics: detecting sensitive populations.

Authors:  P G Shields
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6.  The debrisoquine metabolic phenotype and DNA-based assays: implications of misclassification for the association of lung cancer and the debrisoquine metabolic phenotype.

Authors:  N E Caporaso; P G Shields; M T Landi; G L Shaw; M A Tucker; R Hoover; H Sugimura; A Weston; C C Harris
Journal:  Environ Health Perspect       Date:  1992-11       Impact factor: 9.031

7.  Genetic analysis of subsequent second primary malignant neoplasms in long-term pancreatic cancer survivors suggests new potential hereditary genetic alterations.

Authors:  Martin Lovecek; Marketa Janatova; Pavel Skalicky; Tomas Zemanek; Roman Havlik; Jiri Ehrmann; Ondrej Strouhal; Petra Zemankova; Klara Lhotova; Marianna Borecka; Jana Soukupova; Hana Svebisova; Pavel Soucek; Viktor Hlavac; Zdenek Kleibl; Cestmir Neoral; Bohuslav Melichar; Beatrice Mohelnikova-Duchonova
Journal:  Cancer Manag Res       Date:  2019-01-10       Impact factor: 3.989

  7 in total

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