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Differences in Risk Factors for Breast Cancer Molecular Subtypes in a Population-Based Study
Abstract
Analysis of gene expression data suggests that breast cancers are divisible into molecular subtypes which have distinct clinical features. This study evaluates whether pathologic features and etiologic associations differ among molecular subtypes. We evaluated 804 women with invasive breast cancers and 2,502 controls participating in a Polish Breast Cancer Study. Immunohistochemical stains for estrogen receptor α, progesterone receptor, human epidermal growth factor receptors (HER2 and HER1), and cytokeratin 5 were used to classify cases into five molecular subtypes: luminal A, luminal B, HER2-expresing, basal-like, and unclassified. Relative risks were estimated using adjusted odds ratios and 95% confidence intervals. We observed that compared with the predominant luminal A tumors (69%), other subtypes were associated with unfavorable clinical features at diagnosis, especially HER2-expressing (8%) and basal-like (12%) tumors. Increasing body mass index significantly reduced the risk of luminal A tumors among premenopausal women (odds ratios, 0.71; 95% confidence intervals, 0.57-0.88 per five-unit increase), whereas it did not reduce risk for basal-like tumors (1.18; 0.86-1.64; Pheterogeneity = 0.003). On the other hand, reduced risk associated with increasing age at menarche was stronger for basal-like (0.78; 0.68-0.89 per 2-year increase) than luminal A tumors (0.90; 0.95-1.08; Pheterogeneity = 0.0009). Although family history increased risk for all subtypes (except for unclassified tumors), the magnitude of the relative risk was highest for basal-like tumors. Results from this study have shown that breast cancer risk factors may vary by molecular subtypes identified in expression studies, suggesting etiologic, in addition to clinical, heterogeneity of breast cancer. (Cancer Epidemiol Biomarkers Prev 2007;16(3):439–43)
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Pubertal correlates in black and white girls
Biro, F. M., Huang, B., Crawford, P. B., Lucky, A. W., Striegel-Moore, R., Barton, B. A., & Daniels, S. (2006) · The Journal of Pediatrics · doi:10.1016/j.jpeds.2005.10.020 · Cited by 210
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Metformin induces unique biological and molecular responses in triple negative breast cancer cells
Liu, B., Fan, Z., Edgerton, S. M., Deng, X.-S., Alimova, I. N., Lind, S. E., & Thor, A. D. (2009) · Cell Cycle · doi:10.4161/cc.8.13.8814 · Cited by 392
Established breast cancer risk factors and risk of intrinsic tumor subtypes
Barnard, M. E., Boeke, C. E., & Tamimi, R. M. (2015) · Biochimica et Biophysica Acta (BBA) - Reviews on Cancer · doi:10.1016/j.bbcan.2015.06.002 · Cited by 278
Collins, L. C., Marotti, J. D., Gelber, S., Cole, K., Ruddy, K., Kereakoglow, S., Brachtel, E. F., Schapira, L., Come, S. E., Winer, E. P., et al. (2012) · Breast Cancer Research and Treatment · doi:10.1007/s10549-011-1872-9 · Cited by 271
Lochhead, P., Chan, A. T., Nishihara, R., Fuchs, C. S., Beck, A. H., Giovannucci, E., & Ogino, S. (2015) · Modern Pathology · doi:10.1038/modpathol.2014.81 · Cited by 206
Effect of soybean on breast cancer according to receptor status: a case-control study in Japan
Suzuki, T., Matsuo, K., Tsunoda, N., Hirose, K., Hiraki, A., Kawase, T., Yamashita, T., Iwata, H., Tanaka, H., & Tajima, K. (2008) · International Journal of Cancer · doi:10.1002/ijc.23644 · Cited by 47
Metadata
- Authors
- Yang, X. R., Sherman, M. E., Rimm, D. L., Lissowska, J., Brinton, L. A., Peplonska, B., Hewitt, S. M., Anderson, W. F., Szeszenia-Dąbrowska, N., Bardin-Mikolajczak, A., Zatonski, W., Cartun, R., Mandich, D., Rymkiewicz, G., Ligaj, M., Lukaszek, S., Kordek, R., & García-Closas, M.
- Venue
- Cancer Epidemiology, Biomarkers & Prevention
- Published
- 2007-03-01
- Volume
- 16
- Issue
- 3
- Pages
- 439-443
- ISSN
- 1055-9965 (ISSN-L)
- 1538-7755
- OpenAlex
- W2135847690
- Cited by
- 464
- References
- 1
- FWCI
- 9.64
- Type
- journal article
- Language
- en
- Open access
- closed
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- Yang, X. R., Sherman, M. E., Rimm, D. L., Lissowska, J., Brinton, L. A., Peplonska, B., Hewitt, S. M., Anderson, W. F., Szeszenia-Dąbrowska, N., Bardin-Mikolajczak, A., Zatonski, W., Cartun, R., Mandich, D., Rymkiewicz, G., Ligaj, M., Lukaszek, S., Kordek, R., & García-Closas, M. (2007). Differences in Risk Factors for Breast Cancer Molecular Subtypes in a Population-Based Study. Cancer Epidemiology, Biomarkers & Prevention. https://doi.org/10.1158/1055-9965.epi-06-0806
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.