Jasmine D Lee1,2, Qiuyin Cai1,2, Xiao Ou Shu1,2, Sarah J Nechuta1,2. 1. 1 Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center , Nashville, Tennessee. 2. 2 Vanderbilt-Ingram Cancer Center , Vanderbilt School of Medicine, Nashville, Tennessee.
Abstract
BACKGROUND: Oxidative stress may play an important role in both initiation and progression of breast cancer. We conducted the first systematic epidemiologic review to summarize the published literature on oxidative stress biomarkers and breast cancer. MATERIALS AND METHODS: We implemented systematic search strategies to identify published studies of oxidative stress biomarkers and (1) risk of developing breast cancer and (2) breast cancer prognosis using the PRISMA statement guidelines. RESULTS: We identified eleven case-control studies of oxidative stress biomarkers and breast cancer. Biomarkers utilized varied and menopausal status was a key modifying factor. Across three nested case-control studies with biomarkers measured before diagnosis, one reported increased risk of postmenopausal breast cancer in association with 8-oxodG (DNA damage biomarker), while two (one of F2-isoprostanes and one of fluorescent oxidation products) reported inverse associations for premenopausal breast cancer only. We identified eight prognostic studies. Two reported associations for lipid peroxidation and breast cancer prognosis; results for other studies were null. CONCLUSIONS: DNA damage may increase risk of breast cancer among postmenopausal women, while lipid peroxidation may be inversely associated with premenopausal breast cancer. Lipid peroxidation may be associated with survival after breast cancer diagnosis; however, results require evaluation in large, prospective cohort studies.
BACKGROUND:Oxidative stress may play an important role in both initiation and progression of breast cancer. We conducted the first systematic epidemiologic review to summarize the published literature on oxidative stress biomarkers and breast cancer. MATERIALS AND METHODS: We implemented systematic search strategies to identify published studies of oxidative stress biomarkers and (1) risk of developing breast cancer and (2) breast cancer prognosis using the PRISMA statement guidelines. RESULTS: We identified eleven case-control studies of oxidative stress biomarkers and breast cancer. Biomarkers utilized varied and menopausal status was a key modifying factor. Across three nested case-control studies with biomarkers measured before diagnosis, one reported increased risk of postmenopausal breast cancer in association with 8-oxodG (DNA damage biomarker), while two (one of F2-isoprostanes and one of fluorescent oxidation products) reported inverse associations for premenopausal breast cancer only. We identified eight prognostic studies. Two reported associations for lipid peroxidation and breast cancer prognosis; results for other studies were null. CONCLUSIONS: DNA damage may increase risk of breast cancer among postmenopausal women, while lipid peroxidation may be inversely associated with premenopausal breast cancer. Lipid peroxidation may be associated with survival after breast cancer diagnosis; however, results require evaluation in large, prospective cohort studies.
Authors: Laura Vera-Ramirez; Pedro Sanchez-Rovira; M Carmen Ramirez-Tortosa; Cesar L Ramirez-Tortosa; Sergio Granados-Principal; Jose A Lorente; Jose L Quiles Journal: Crit Rev Oncol Hematol Date: 2011-02-01 Impact factor: 6.312
Authors: Steffen Loft; Anja Olsen; Peter Møller; Henrik E Poulsen; Anne Tjønneland Journal: Cancer Epidemiol Biomarkers Prev Date: 2013-05-08 Impact factor: 4.254
Authors: Pavel Rossner; Mary Beth Terry; Marilie D Gammon; Meenakshi Agrawal; Fang Fang Zhang; Jennifer S Ferris; Susan L Teitelbaum; Sybil M Eng; Mia M Gaudet; Alfred I Neugut; Regina M Santella Journal: J Cell Mol Med Date: 2007 Sep-Oct Impact factor: 5.310
Authors: Catherine Kim; James C Slaughter; James G Terry; David R Jacobs; Nisha Parikh; Duke Appiah; Benjamin Leader; Molly B Moravek; Melissa F Wellons Journal: Fertil Steril Date: 2020-07-16 Impact factor: 7.490
Authors: Debashish Sahay; Susan E Lloyd; Janelle A Rivera; Jacqueline Jezioro; Jacob D McDonald; Masha Pitiranggon; Beizhan Yan; Matthias Szabolcs; Mary Beth Terry; Rachel L Miller Journal: Environ Res Date: 2021-03-04 Impact factor: 6.498
Authors: Dongyu Zhang; Hazel B Nichols; Melissa Troester; Jianwen Cai; Jeannette T Bensen; Dale P Sandler Journal: Int J Cancer Date: 2020-02-04 Impact factor: 7.316