INTRODUCTION: The products of estrogen metabolism may affect breast carcinogenesis. The 16alpha-hydroxyestrone (16-OHE) metabolite has a higher affinity for the estrogen receptor (ER) than the 2-hydroxyestrone (2-OHE) metabolite, while conjugated 2-OHE metabolite may inhibit angiogenesis. We investigated the association between the relative concentrations of these metabolites in urine (2-OHE/16-OHE) and breast cancer in a case-control study of Chinese women living in Shanghai. METHODS: Incident breast cancer cases between 25 and 65 years of age (n=110) were identified from hospital or population tumor registries in Shanghai, China. Controls (n=110) were randomly selected from a complete registry of the Shanghai population, and individually matched to cases by menopausal status, age, and pre-treatment or post-treatment urine collection time. Urine samples were collected prior to any breast cancer treatment or surgery among 78 case-control pairs, while urine was collected after surgery, and perhaps other treatments, among 32 case-control pairs. A commercial enzyme-immunoassay kit was used to measure urinary estrogen metabolite concentrations. Conditional logistic regression was used to calculate odds ratios summarizing the 2-OHE/16-OHE and breast cancer association within subjects providing either pre-treatment or post-treatment urine samples. RESULTS: Subjects with a higher urinary 2-OHE/16-OHE ratio were less likely to be diagnosed with breast cancer, but only when urine samples were collected prior to breast cancer treatment (OR(Tertile3(T3)versusTertile1(T1))=0.5, 95% CI (0.2, 1.1)). In contrast, a higher 2-OHE/16-OHE ratio was significantly associated with breast cancer among subjects providing urine specimens after treatment initiation (OR(T3versusT1)=8.7, 95% CI (1.6, 47.1)). This observed cross-over modification occurred within both pre-menopausal and post-menopausal women, and independent of body mass index or recent dietary intake. CONCLUSION: Cross-study differences in urine collection protocols may explain observed inconsistencies in the 2-OHE/16-OHE and breast cancer association. Our case-control analysis using pre-treatment urine samples suggested that a lower 2-OHE/16-OHE ratio was associated with an increased risk of pre-menopausal and post-menopausal breast cancer diagnosis among Chinese women.
INTRODUCTION: The products of estrogen metabolism may affect breast carcinogenesis. The 16alpha-hydroxyestrone (16-OHE) metabolite has a higher affinity for the estrogen receptor (ER) than the 2-hydroxyestrone (2-OHE) metabolite, while conjugated 2-OHE metabolite may inhibit angiogenesis. We investigated the association between the relative concentrations of these metabolites in urine (2-OHE/16-OHE) and breast cancer in a case-control study of Chinese women living in Shanghai. METHODS: Incident breast cancer cases between 25 and 65 years of age (n=110) were identified from hospital or population tumor registries in Shanghai, China. Controls (n=110) were randomly selected from a complete registry of the Shanghai population, and individually matched to cases by menopausal status, age, and pre-treatment or post-treatment urine collection time. Urine samples were collected prior to any breast cancer treatment or surgery among 78 case-control pairs, while urine was collected after surgery, and perhaps other treatments, among 32 case-control pairs. A commercial enzyme-immunoassay kit was used to measure urinary estrogen metabolite concentrations. Conditional logistic regression was used to calculate odds ratios summarizing the 2-OHE/16-OHE and breast cancer association within subjects providing either pre-treatment or post-treatment urine samples. RESULTS: Subjects with a higher urinary 2-OHE/16-OHE ratio were less likely to be diagnosed with breast cancer, but only when urine samples were collected prior to breast cancer treatment (OR(Tertile3(T3)versusTertile1(T1))=0.5, 95% CI (0.2, 1.1)). In contrast, a higher 2-OHE/16-OHE ratio was significantly associated with breast cancer among subjects providing urine specimens after treatment initiation (OR(T3versusT1)=8.7, 95% CI (1.6, 47.1)). This observed cross-over modification occurred within both pre-menopausal and post-menopausal women, and independent of body mass index or recent dietary intake. CONCLUSION: Cross-study differences in urine collection protocols may explain observed inconsistencies in the 2-OHE/16-OHE and breast cancer association. Our case-control analysis using pre-treatment urine samples suggested that a lower 2-OHE/16-OHE ratio was associated with an increased risk of pre-menopausal and post-menopausal breast cancer diagnosis among Chinese women.
Authors: A Heather Eliassen; Donna Spiegelman; Xia Xu; Larry K Keefer; Timothy D Veenstra; Robert L Barbieri; Walter C Willett; Susan E Hankinson; Regina G Ziegler Journal: Cancer Res Date: 2011-12-05 Impact factor: 12.701
Authors: Alma J Smith; William R Phipps; William Thomas; Kathryn H Schmitz; Mindy S Kurzer Journal: Cancer Epidemiol Biomarkers Prev Date: 2013-05 Impact factor: 4.254
Authors: Deborah A Boggs; Julie R Palmer; Meir J Stampfer; Donna Spiegelman; Lucile L Adams-Campbell; Lynn Rosenberg Journal: Cancer Causes Control Date: 2010-08-03 Impact factor: 2.506
Authors: Yukiko Morimoto; Shannon M Conroy; Ian S Pagano; Marissa Isaki; Adrian A Franke; Frank J Nordt; Gertraud Maskarinec Journal: Nutr Cancer Date: 2012-01-31 Impact factor: 2.900
Authors: Sandhya K Nair; Arti Verma; T J Thomas; T C Chou; Michael A Gallo; Akira Shirahata; Thresia Thomas Journal: Cancer Lett Date: 2006-12-20 Impact factor: 8.679
Authors: Rachel H Mackey; Theresa J Fanelli; Francesmary Modugno; Jane A Cauley; Kathleen M McTigue; Maria Mori Brooks; Rowan T Chlebowski; JoAnn E Manson; Thomas L Klug; Kevin E Kip; J David Curb; Lewis H Kuller Journal: Cancer Epidemiol Biomarkers Prev Date: 2012-08-29 Impact factor: 4.254
Authors: Alan A Arslan; Roy E Shore; Yelena Afanasyeva; Karen L Koenig; Paolo Toniolo; Anne Zeleniuch-Jacquotte Journal: Cancer Epidemiol Biomarkers Prev Date: 2009-08 Impact factor: 4.254
Authors: A Heather Eliassen; Stacey A Missmer; Shelley S Tworoger; Susan E Hankinson Journal: Cancer Epidemiol Biomarkers Prev Date: 2008-08 Impact factor: 4.254
Authors: A Heather Eliassen; Regina G Ziegler; Bernard Rosner; Timothy D Veenstra; John M Roman; Xia Xu; Susan E Hankinson Journal: Cancer Epidemiol Biomarkers Prev Date: 2009-10-20 Impact factor: 4.254