The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
The association of breast mitogens with mammographic densities
Open accessAbstract
Radiologically dense breast tissue (mammographic density) is strongly associated with risk of breast cancer, but the biological basis for this association is unknown. In this study we have examined the association of circulating levels of hormones and growth factors with mammographic density. A total of 382 subjects, 193 premenopausal and 189 postmenopausal, without previous breast cancer or current hormone use, were selected in each of five categories of breast density from mammography units. Risk factor information, anthropometric measures, and blood samples were obtained, and oestradiol, progesterone, sex hormone binding globulin, growth hormone, insulin-like growth factor-I and its principal binding protein, and prolactin measured. Mammograms were digitised and measured using a computer-assisted method. After adjustment for other risk factors, we found in premenopausal women that serum insulin-like growth factor-I levels, and in postmenopausal women, serum levels of prolactin, were both significantly and positively associated with per cent density. Total oestradiol and progesterone levels were unrelated to per cent density in both groups. In postmenopausal women, free oestradiol (negatively), and sex hormone binding globulin (positively), were significantly related to per cent density. These data show an association between blood levels of breast mitogens and mammographic density, and suggest a biological basis for the associated risk of breast cancer.
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Cites
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
Mammographic Features and Breast Cancer Risk: Effects With Time, Age, and Menopause Status
Byrne, C., Schairer, C., Wolfe, J., Parekh, N., Salane, M., Brinton, L. A., Hoover, R., & Haile, R. (1995) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/87.21.1622 · Cited by 864
Mammographic densities and breast cancer risk.
Boyd, N. F., Lockwood, G. A., Byng, J. W., Tritchler, D., & Yaffe, M. J. (1998) · PubMed · Cited by 810
Self-citationA Prospective Study of Endogenous Estrogens and Breast Cancer in Postmenopausal Women
Toniolo, P. G., Levitz, M., Zeleniuch-Jacquotte, A., Banerjee, S., Koenig, K. L., Shore, R. E., Strax, P., & Pasternack, B. S. (1995) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/87.3.190 · Cited by 620
The quantitative analysis of mammographic densities
Byng, J. W., Boyd, N. F., Fishell, E., Jong, R. A., & Yaffe, M. J. (1994) · Physics in Medicine and Biology · doi:10.1088/0031-9155/39/10/008 · Cited by 607
Self-citationInsulin-like growth factors and cancer
Macaulay, V. (1992) · British Journal of Cancer · doi:10.1038/bjc.1992.65 · Cited by 601
X-ray characterisation of normal and neoplastic breast tissues
Johns, P. C., & Yaffe, M. J. (1987) · Physics in Medicine and Biology · doi:10.1088/0031-9155/32/6/002 · Cited by 533
Self-citationCauley, J. A., Lucas, F. L., Kuller, L. H., Stone, K., Browner, W., Cummings, S. R., & for the Study of Osteoporotic Fractures Research Group (1999) · Annals of Internal Medicine · doi:10.7326/0003-4819-130-4_part_1-199902160-00004 · Cited by 409
Plasma Prolactin Levels and Subsequent Risk of Breast Cancer in Postmenopausal Women
Hankinson, S. E., Willett, W. C., Michaud, D. S., Manson, J. E., Colditz, G. A., Longcope, C., Rosner, B., & Speizer, F. E. (1999) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/91.7.629 · Cited by 297
Rutter, C. M. (2001) · JAMA · doi:10.1001/jama.285.2.171 · Cited by 260
Cited by
Collagen density promotes mammary tumor initiation and progression
Provenzano, P. P., Inman, D. R., Eliceiri, K. W., Knittel, J. G., Yan, L., Rueden, C. T., White, J. G., & Keely, P. J. (2008) · BMC Medicine · doi:10.1186/1741-7015-6-11 · Cited by 1,361
Mammographic breast density as an intermediate phenotype for breast cancer
Boyd, N. F., Rommens, J. M., Vogt, K., Lee, V., Hopper, J. L., Yaffe, M. J., & Paterson, A. D. (2005) · The Lancet Oncology · doi:10.1016/s1470-2045(05)70390-9 · Cited by 613
Self-citationTice, J. A., Cummings, S. R., Smith-Bindman, R., Ichikawa, L., Barlow, W. E., & Kerlikowske, K. (2008) · Annals of Internal Medicine · doi:10.7326/0003-4819-148-5-200803040-00004 · Cited by 537
Breast Tissue Composition and Susceptibility to Breast Cancer
Boyd, N. F., Martin, L. J., Bronskill, M., Yaffe, M. J., Duric, N., & Minkin, S. (2010) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/djq239 · Cited by 478
Self-citationLi, T., Sun, L., Miller, N., Nicklee, T., Woo, J., Hulse-Smith, L., Tsao, M.-S., Khokha, R., Martin, L., & Boyd, N. (2005) · Cancer Epidemiology, Biomarkers & Prevention · doi:10.1158/1055-9965.epi-04-0490 · Cited by 329
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Metadata
- Authors
- Boyd, N. F., Stone, J., Martin, L. J., Jong, R., Fishell, E., Yaffe, M., Hammond, G., & Minkin, S.
- Venue
- British Journal of Cancer
- Published
- 2002-10
- Volume
- 87
- Issue
- 8
- Pages
- 876-882
- ISSN
- 0007-0920 (ISSN-L)
- 1532-1827
- OpenAlex
- W2078978161
- Cited by
- 272
- References
- 43
- FWCI
- 12.00
- Type
- journal article
- Language
- en
- Open access
- hybrid
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