PURPOSE: The cytochrome P450 (CYP) genes are oxygenases involved in estrogen biosynthesis and metabolism, generation of DNA damaging procarcinogens, and response to anti-estrogen therapies. Since lifetime estrogen exposure is an established risk factor for breast cancer, determining the role of CYP genes in breast cancer etiology may provide critical information for understanding tumorigenesis and response to treatment. METHODS: This review summarizes literature available in PubMed published between 1993 and 2013 that focuses on studies evaluating the effects of DNA variants in CYP genes on estrogen synthesis, metabolism, and generation of procarcinogens in addition to response to anti-estrogen therapies. RESULTS: Evaluation of DNA variants in estrogen metabolism genes was largely inconclusive. Meta-analyses of data from CYP19A1 support an association between the number of (TTTA) n repeats in intron 4 and breast cancer risk, but the biological mechanism for this relationship is unknown. Associations between single nucleotide polymorphism in CYP1B1 and DNA damage caused by procarcinogenic estrogen metabolites were ambiguous. Variants in CYP2D6 are associated with altered metabolism tamoxifen; however, current data do not support widespread clinical testing. The effect of variants in CYP19A1 in response to aromatase inhibitors is also questionable. CONCLUSION: Evaluation of DNA variants in CYP genes involved with estrogen metabolism or treatment response has been inconclusive, reflecting small samples sizes, tumor heterogeneity, and differences between populations. Better-powered studies that account for genetic backgrounds and tumor phenotypes are thus necessary.
PURPOSE: The cytochrome P450 (CYP) genes are oxygenases involved in estrogen biosynthesis and metabolism, generation of DNA damaging procarcinogens, and response to anti-estrogen therapies. Since lifetime estrogen exposure is an established risk factor for breast cancer, determining the role of CYP genes in breast cancer etiology may provide critical information for understanding tumorigenesis and response to treatment. METHODS: This review summarizes literature available in PubMed published between 1993 and 2013 that focuses on studies evaluating the effects of DNA variants in CYP genes on estrogen synthesis, metabolism, and generation of procarcinogens in addition to response to anti-estrogen therapies. RESULTS: Evaluation of DNA variants in estrogen metabolism genes was largely inconclusive. Meta-analyses of data from CYP19A1 support an association between the number of (TTTA) n repeats in intron 4 and breast cancer risk, but the biological mechanism for this relationship is unknown. Associations between single nucleotide polymorphism in CYP1B1 and DNA damage caused by procarcinogenic estrogen metabolites were ambiguous. Variants in CYP2D6 are associated with altered metabolism tamoxifen; however, current data do not support widespread clinical testing. The effect of variants in CYP19A1 in response to aromatase inhibitors is also questionable. CONCLUSION: Evaluation of DNA variants in CYP genes involved with estrogen metabolism or treatment response has been inconclusive, reflecting small samples sizes, tumor heterogeneity, and differences between populations. Better-powered studies that account for genetic backgrounds and tumor phenotypes are thus necessary.
Authors: Jin Young Min; Gi Ho Lee; Tilak Khanal; Sun Woo Jin; Sang-Yeop Lee; Hyung Gyun Kim; Ju-Yong Hyon; Young-Ho Chung; Sang Keun Ha; Eun Hee Han; Hye Gwang Jeong Journal: Am J Cancer Res Date: 2022-06-15 Impact factor: 5.942
Authors: Keneuoe Cecilia Nthontho; Andrew Khulekani Ndlovu; Kirthana Sharma; Ishmael Kasvosve; Daniel Louis Hertz; Giacomo Maria Paganotti Journal: Pharmgenomics Pers Med Date: 2022-06-21
Authors: Beate R Ritz; Nilanjan Chatterjee; Montserrat Garcia-Closas; W James Gauderman; Brandon L Pierce; Peter Kraft; Caroline M Tanner; Leah E Mechanic; Kimberly McAllister Journal: Am J Epidemiol Date: 2017-10-01 Impact factor: 5.363
Authors: Aurelia H M de Vries Schultink; Wilbert Zwart; Sabine C Linn; Jos H Beijnen; Alwin D R Huitema Journal: Clin Pharmacokinet Date: 2015-08 Impact factor: 6.447
Authors: Maria Simonsson; Srinivas Veerla; Andrea Markkula; Carsten Rose; Christian Ingvar; Helena Jernström Journal: BMC Cancer Date: 2016-03-31 Impact factor: 4.430