Breastfeeding and risk of ovarian cancer in two prospective cohorts.

Breastfeeding and risk of ovarian cancer in two prospective cohorts. Research Abstract Details 

Research Abstract Table of Contents

Jump to the:

Breastfeeding and risk of ovarian cancer in two prospective cohorts. Abstract Text:

Kim N Danforth,Shelley S Tworoger,Jonathan L Hecht,Bernard A Rosner,Graham A Colditz,Susan E Hankinson,

OBJECTIVE: To describe the association between breastfeeding and ovarian cancer risk in two prospective cohorts. MATERIALS & METHODS: We pooled data from the Nurses' Health Study and Nurses' Health Study II. There were 391 cases of epithelial ovarian cancer diagnosed among 149,693 parous women with up to 16 years of follow-up. Data were analyzed using multivariate Cox proportional hazards models, controlling for age, parity, duration of oral contraceptive use, tubal ligation, and age at menarche. RESULTS: Ever breastfeeding was associated with a non-significant reduction in ovarian cancer risk compared with never breastfeeding (RR=0.86, 95% CI 0.70-1.06); the median duration of breastfeeding among women who breastfed was nine months. Breastfeeding of 18 or more months was associated with a significant decrease in ovarian cancer risk compared to never breastfeeding (RR=0.66, 95% CI 0.46-0.96). For each month of breastfeeding the relative risk decreased by 2% (RR=0.98 per month, 95% CI 0.97-1.00). CONCLUSIONS: These data support a linear inverse association between breastfeeding and risk of epithelial ovarian cancer.

Breastfeeding and risk of ovarian cancer in two prospective cohorts. Publishing Authors By Initials

KN Danforth,SS Tworoger,JL Hecht,BA Rosner,GA Colditz,SE Hankinson,

For similar investigative techniques: epidemiologic methods: statistics as topic: probability: risk: risk factors research abstracts see: investigative techniques: epidemiologic methods: statistics as topic: probability: risk: risk factors research

PUBMED ID PMID:

MEDLINE DATE:

Breastfeeding and risk of ovarian cancer in two prospective cohorts. Journal Published:

PUBLICATION TYPE: Research Support, Non-U.S. Gov

Journal: Cancer causes & control : CCC

VOLUME: 18

Page Numbers: 517-23

Journal Abbreviation:

ISSN: 0957-5243

DAY: 21

MONTH: 04

YEAR: 2007

Breastfeeding and risk of ovarian cancer in two prospective cohorts. Information

Number of References:

LANGUAGE: eng

NlmUniqueID: 9100846

Breastfeeding and risk of ovarian cancer in two prospective cohorts. Keywords Mesh Terms:

KEYWORDS: Risk Factors

MESH TERMS: epidemiology

Chemical & Substance for Abstract: Breastfeeding and risk of ovarian cancer in two prospective cohorts. Information

Substance Name:

Registry Number:

Grant and Affiliation Information for Breastfeeding and risk of ovarian cancer in two prospective cohorts.

AFFILIATION: Channing Laboratory, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, 181 Longwood Avenue, 3rd Floor, Boston, MA 02115, USA. kim.danforth@channing.harvard.edu

Country: Netherlands

AGENCY: United States NCI

GRANT: CA87969

ACRONYM: CA

MEDLINETA: Cancer Causes Control

REFSOURCE:

DATABASENAME:

ACCESSION NUMBER:

Number Hits: 0

Breastfeeding and risk of ovarian cancer in two prospective cohorts Related Publications

• A novel promoter element containing multiple overlapping xenobiotic and hypoxia response elements mediates induction of cytochrome P4502S1 by both dioxin and hypoxia.
• A prospective study of dietary flavonoid intake and incidence of epithelial ovarian cancer.
• A prospective study of plasma prolactin concentrations and risk of premenopausal and postmenopausal breast cancer.
• A prospective study of postmenopausal hormone use and ovarian cancer risk.
• Aspirin, NSAID, and Acetaminophen Use and the Risk of Endometrial Cancer.
• Association of activity and chronic disease risk factors: utility and limitations of objectively measured physical activity data.
• Association of oral contraceptive use, other contraceptive methods, and infertility with ovarian cancer risk.
• Birthweight and body size throughout life in relation to sex hormones and prolactin concentrations in premenopausal women.
• Body shape throughout life and correlations with IGFs and GH.
• Breastfeeding and risk of ovarian cancer in two prospective cohorts.
• Caffeine, alcohol, smoking, and the risk of incident epithelial ovarian cancer.
• Circulating colony stimulating factor-1 and breast cancer risk.
• Circulating insulin and c-peptide levels and risk of breast cancer among predominately premenopausal women.
• Circulating levels of sex steroids and prolactin in premenopausal women and risk of breast cancer.
• Dietary patterns, the Alternate Healthy Eating Index and plasma sex hormone concentrations in postmenopausal women.
• Endogenous hormone levels, mammographic density, and subsequent risk of breast cancer in postmenopausal women.
• Identification of novel dioxin-responsive genes by representational difference analysis.
• Identifying target genes of the aryl hydrocarbon receptor nuclear translocator (Arnt) using DNA microarray analysis.
• Insulin-like growth factors and ovarian cancer risk: a nested case-control study in three cohorts.
• Menopausal and reproductive factors and risk of age-related macular degeneration.
• Physical activity and inactivity in relation to sex hormone, prolactin, and insulin-like growth factor concentrations in premenopausal women - exercise and premenopausal hormones.
• Plasma 25-hydroxyvitamin D and 1,25-dihydroxyvitamin D and risk of incident ovarian cancer.
• Plasma adiponectin concentrations and risk of incident breast cancer.
• Plasma androgen concentrations and risk of incident ovarian cancer.
• Prolactin and breast cancer risk.
• Relationship of plasma adiponectin with sex hormone and insulin-like growth factor levels.
• Reproducibility of proteomic profiles over 3 years in postmenopausal women not taking postmenopausal hormones.
• The role of the aryl hydrocarbon receptor nuclear translocator protein in aryl hydrocarbon receptor action.
• Use of biomarkers in epidemiologic studies: minimizing the influence of measurement error in the study design and analysis.
• Why does ARNT2 behave differently from ARNT?