The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.
Epidemiology of breast cancer subtypes in two prospective cohort studies of breast cancer survivors
Open accessAbstract
Introduction: The aim of this study was to describe breast tumor subtypes by common breast cancer risk factors and to determine correlates of subtypes using baseline data from two pooled prospective breast cancer studies within a large health maintenance organization. Methods: Tumor data on 2544 invasive breast cancer cases subtyped by estrogen receptor, progesterone receptor, and human epidermal growth factor receptor 2 (Her2) status were obtained (1868 luminal A tumors, 294 luminal B tumors, 288 triple-negative tumors and 94 Her2-overexpressing tumors). Demographic, reproductive and lifestyle information was collected either in person or by mailed questionnaires. Case-only odds ratios (ORs) and 95% confidence intervals (CIs) were estimated using logistic regression, adjusting for age at diagnosis, race/ethnicity, and study origin. Results: Compared with luminal A cases, luminal B cases were more likely to be younger at diagnosis (P = 0.0001) and were less likely to consume alcohol (OR = 0.74, 95% CI = 0.56 to 0.98), use hormone replacement therapy (HRT) (OR = 0.66, 95% CI = 0.46 to 0.94), and oral contraceptives (OR = 0.73, 95% CI = 0.55 to 0.96). Compared with luminal A cases, triple-negative cases tended to be younger at diagnosis (P ≤ 0.0001) and African American (OR = 3.14, 95% CI = 2.12 to 4.16), were more likely to have not breastfed if they had parity greater than or equal to three (OR = 1.68, 95% CI = 1.00 to 2.81), and were more likely to be overweight (OR = 1.82, 95% CI = 1.03 to 3.24) or obese (OR = 1.97, 95% CI = 1.03 to 3.77) if premenopausal. Her2-overexpressing cases were more likely to be younger at diagnosis (P = 0.03) and Hispanic (OR = 2.19, 95% CI = 1.16 to 4.13) or Asian (OR = 2.02, 95% CI = 1.05 to 3.88), and less likely to use HRT (OR = 0.45, 95% CI = 0.26 to 0.79). Conclusions: These observations suggest that investigators should consider tumor heterogeneity in associations with traditional breast cancer risk factors. Important modifiable lifestyle factors that may be related to the development of a specific tumor subtype, but not all subtypes, include obesity, breastfeeding, and alcohol consumption. Future work that will further categorize triple-negative cases into basal and non-basal tumors may help to elucidate these associations further.
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Molecular portraits of human breast tumours
Perou, C. M., Sørlie, T., Eisen, M. B., van de Rijn, M., Jeffrey, S. S., Rees, C. A., Pollack, J. R., Ross, D. T., Johnsen, H., Akslen, L. A., et al. (2000) · Nature · doi:10.1038/35021093 · Cited by 16,261
Sørlie, T., Perou, C. M., Tibshirani, R., Aas, T., Geisler, S., Johnsen, H., Hastie, T., Eisen, M. B., van de Rijn, M., Jeffrey, S. S., et al. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.191367098 · Cited by 10,938
(1968) · American Association of Industrial Nurses Journal · doi:10.1177/216507996801601208 · Cited by 8,798
Repeated observation of breast tumor subtypes in independent gene expression data sets
Sørlie, T., Tibshirani, R., Parker, J., Hastie, T., Marron, J. S., Nobel, A., Deng, S., Johnsen, H., Pesich, R., Geisler, S., et al. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0932692100 · Cited by 5,429
Triple-negative breast cancer: clinical features and patterns of recurrence
Dent, R., Trudeau, M., Pritchard, K. I., Hanna, W. M., Kahn, H. K., Sawka, C. A., Lickley, L. A., Rawlinson, E., Sun, P., & Narod, S. A. (2007) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-06-3045 · Cited by 5,091
Wolff, A. C., Hammond, M. E. H., Schwartz, J. N., Hagerty, K. L., Allred, D. C., Cote, R. J., Dowsett, M., Fitzgibbons, P. L., Hanna, W. M., Langer, A., et al. (2007) · Journal of Clinical Oncology · doi:10.1200/jco.2006.09.2775 · Cited by 4,434
Race, Breast Cancer Subtypes, and Survival in the Carolina Breast Cancer Study
Carey, L. A., Perou, C. M., Livasy, C. A., Dressler, L. G., Cowan, D., Conway, K., Karaca, G., Troester, M. A., Tse, C. K., Edmiston, S., et al. (2006) · JAMA · doi:10.1001/jama.295.21.2492 · Cited by 3,819
Nielsen, T. O., Hsu, F. D., Jensen, K., Cheang, M., Karaca, G., Hu, Z., Hernandez-Boussard, T., Livasy, C., Cowan, D., Dressler, L., et al. (2004) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-04-0220 · Cited by 2,663
The Triple Negative Paradox: Primary Tumor Chemosensitivity of Breast Cancer Subtypes
Carey, L. A., Dees, E. C., Sawyer, L., Gatti, L., Moore, D. T., Collichio, F., Ollila, D. W., Sartor, C. I., Graham, M. L., & Perou, C. M. (2007) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-06-1109 · Cited by 2,087
Bauer, K. R., Brown, M., Cress, R. D., Parise, C. A., & Caggiano, V. (2007) · Cancer · doi:10.1002/cncr.22618 · Cited by 2,067
Cited by
Picon‐Ruiz, M., Morata‐Tarifa, C., Valle‐Goffin, J. J., Friedman, E. R., & Slingerland, J. M. (2017) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21405 · Cited by 893
An overview of triple-negative breast cancer
Kumar, P., & Aggarwal, R. (2016) · Archives of Gynecology and Obstetrics · doi:10.1007/s00404-015-3859-y · Cited by 771
Lin, N. U., Vanderplas, A., Hughes, M. E., Theriault, R. L., Edge, S. B., Wong, Y., Blayney, D. W., Niland, J. C., Winer, E. P., & Weeks, J. C. (2012) · Cancer · doi:10.1002/cncr.27581 · Cited by 695
Triple-negative breast cancer—current status and future directions
Gluz, O., Liedtke, C., Gottschalk, N., Pusztai, L., Nitz, U., & Harbeck, N. (2009) · Annals of Oncology · doi:10.1093/annonc/mdp492 · Cited by 687
Triple-negative breast cancer: epidemiological considerations and recommendations
Boyle, P. (2012) · Annals of Oncology · doi:10.1093/annonc/mds187 · Cited by 593
Metadata
- Authors
- Kwan, M. L., Kushi, L. H., Weltzien, E., Maring, B., Kutner, S. E., Fulton, R. S., Lee, M. M., Ambrosone, C. B., & Caan, B. J.
- Venue
- Breast Cancer Research
- Published
- 2009-05-22
- Volume
- 11
- Issue
- 3
- Pages
- R31-R31
- ISSN
- 1465-5411 (ISSN-L)
- 1465-542X
- OpenAlex
- W2017047594
- Cited by
- 318
- References
- 47
- FWCI
- 8.55
- Type
- journal article
- Language
- en
- Open access
- gold
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- Kwan, M. L., Kushi, L. H., Weltzien, E., Maring, B., Kutner, S. E., Fulton, R. S., Lee, M. M., Ambrosone, C. B., & Caan, B. J. (2009). Epidemiology of breast cancer subtypes in two prospective cohort studies of breast cancer survivors. Breast Cancer Research. https://doi.org/10.1186/bcr2261
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