The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.
Serum High-Density Lipoprotein Cholesterol, Metabolic Profile, and Breast Cancer Risk
Abstract
BACKGROUND: The prevalence of metabolic syndrome (obesity, glucose intolerance, low serum high-density lipoprotein cholesterol [HDL-C], high serum triglycerides, hypertension) is high and increasing in parallel with an increasing breast cancer incidence worldwide. HDL-C represents an important aspect of the syndrome, yet its role in breast cancer is still undefined. METHODS: In two population-based screening surveys during 1977-1983 and 1985-1987, serum HDL-C was assayed enzymatically among 38,823 Norwegian women aged 17-54 years at entry. Height, weight, blood pressure, serum lipids, fat and energy intake, physical activity, parity, oral contraceptive use, hormone therapy use, alcohol intake, and tobacco use were also assessed. We used Cox proportional hazards modeling to estimate the relative risk (RR) of breast cancer associated with serum HDL-C levels and to adjust for potential confounding variables. We performed stratified analyses to evaluate effect modification by body mass index (BMI) and menopausal status. All statistical tests were two-sided. RESULTS: During a median follow-up of 17.2 years, we identified 708 cases of invasive breast cancer. In multivariable analysis, the risk of postmenopausal breast cancer was inversely related to quartile of HDL-C (P(trend) =.02). Among women with HDL-C above 1.64 mmol/L (highest quartile) versus below 1.20 mmol/L (lowest quartile), the relative risk was 0.75 (95% confidence interval [CI] = 0.58 to 0.97). The HDL-C association was confined to women in the heavier subgroup (BMI > or =25 kg/m2), for whom the relative risk of postmenopausal breast cancer in those with HDL-C above 1.64 mmol/L versus below 1.20 mmol/L was 0.43 (95% CI = 0.28 to 0.67; P(trend)<.001; P(interaction) =.001). CONCLUSION: Low HDL-C, as part of the metabolic syndrome, is associated with increased postmenopausal breast cancer risk.
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Cites
Rapid method for the isolation of lipoproteins from human serum by precipitation with polyanions
BURSTEIN, M., SCHOLNICK, H. R., & MORFIN, R. (1970) · Journal of Lipid Research · doi:10.1016/s0022-2275(20)42943-8 · Cited by 2,491
Circulating concentrations of insulin-like growth factor I and risk of breast cancer
Hankinson, S. E., Willett, W. C., Colditz, G. A., Hunter, D. J., Michaud, D. S., Deroo, B., Rosner, B., Speizer, F. E., & Pollak, M. (1998) · The Lancet · doi:10.1016/s0140-6736(97)10384-1 · Cited by 1,823
Role of the Insulin-Like Growth Factor Family in Cancer Development and Progression
Yu, H. (2000) · Journal of the National Cancer Institute · doi:10.1093/jnci/92.18.1472 · Cited by 1,424
Dual Effects of Weight and Weight Gain on Breast Cancer Risk
Huang, Z., Hankinson, S. E., Colditz, G. A., Stampfer, M. J., Hunter, D. J., Manson, J. E., Hennekens, C. H., Rosner, B., Speizer, F. E., & Willett, W. C. (1997) · JAMA · doi:10.1001/jama.1997.03550170037029 · Cited by 950
Eggstein, M., & Kreutz, F. H. (1966) · Klinische Wochenschrift · doi:10.1007/bf01747716 · Cited by 940
Lipid Research Clinics Program
Renfrew, R. A. (1984) · JAMA: The Journal of the American Medical Association · doi:10.1001/jama.1984.03350180015009 · Cited by 829
IARC Handbooks of Cancer Prevention: Breast cancer screening
Feig, S. A. (2003) · Cancer · doi:10.1002/cncr.11334 · Cited by 742
Enzymatische Bestimmung des Gesamt-Cholesterins im Serum
Röschlau, P., Bernt, E., & Gruber, W. (1974) · Clinical Chemistry and Laboratory Medicine · doi:10.1515/cclm.1974.12.9.403 · Cited by 733
Endogenous Hormones and Breast Cancer Risk
Bernstein, L., & Ross, R. K. (1993) · Epidemiologic Reviews · doi:10.1093/oxfordjournals.epirev.a036116 · Cited by 691
Self-citationA Comparison of the Prevalence of the Metabolic Syndrome Using Two Proposed Definitions
Ford, E. S., & Giles, W. H. (2003) · Diabetes Care · doi:10.2337/diacare.26.3.575 · Cited by 616
Cited by
Obesity and cancer risk: the role of the insulin-IGF axis
Renehan, A. G., Frystyk, J., & Flyvbjerg, A. (2006) · Trends in Endocrinology & Metabolism · doi:10.1016/j.tem.2006.08.006 · Cited by 480
27-Hydroxycholesterol Is an Endogenous Selective Estrogen Receptor Modulator
DuSell, C. D., Umetani, M., Shaul, P. W., Mangelsdorf, D. J., & McDonnell, D. P. (2008) · Molecular Endocrinology · doi:10.1210/me.2007-0383 · Cited by 301
Wang, D., Li, W., Yin, L., Du, Y., Zhang, S., & Suo, J. (2020) · Oncology Letters · doi:10.3892/ol.2020.11350 · Cited by 12
Metadata
- Authors
- Furberg, A.-S., Veierod, M. B., Wilsgaard, T., Bernstein, L., & Thune, I.
- Venue
- JNCI Journal of the National Cancer Institute
- Publisher
- Oxford University Press (OUP)
- Published
- 2004-08-03
- Volume
- 96
- Issue
- 15
- Pages
- 1152-1160
- ISSN
- 0027-8874 (ISSN-L)
- 1460-2105
- OpenAlex
- W2145378054
- Cited by
- 264
- References
- 40
- FWCI
- 5.14
- Type
- journal article
- Language
- en
- Open access
- closed
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