The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.
A population-based study of tumor gene expression and risk of breast cancer death among lymph node-negative patients
Open accessAbstract
Introduction: The Oncotype DX assay was recently reported to predict risk for distant recurrence among a clinical trial population of tamoxifen-treated patients with lymph node-negative, estrogen receptor (ER)-positive breast cancer. To confirm and extend these findings, we evaluated the performance of this 21-gene assay among node-negative patients from a community hospital setting. Methods: A case-control study was conducted among 4,964 Kaiser Permanente patients diagnosed with node-negative invasive breast cancer from 1985 to 1994 and not treated with adjuvant chemotherapy. Cases (n = 220) were patients who died from breast cancer. Controls (n = 570) were breast cancer patients who were individually matched to cases with respect to age, race, adjuvant tamoxifen, medical facility and diagnosis year, and were alive at the date of death of their matched case. Using an RT-PCR assay, archived tumor tissues were analyzed for expression levels of 16 cancer-related and five reference genes, and a summary risk score (the Recurrence Score) was calculated for each patient. Conditional logistic regression methods were used to estimate the association between risk of breast cancer death and Recurrence Score. Results: After adjusting for tumor size and grade, the Recurrence Score was associated with risk of breast cancer death in ER-positive, tamoxifen-treated and -untreated patients (P = 0.003 and P = 0.03, respectively). At 10 years, the risks for breast cancer death in ER-positive, tamoxifen-treated patients were 2.8% (95% confidence interval [CI] 1.7–3.9%), 10.7% (95% CI 6.3–14.9%), and 15.5% (95% CI 7.6–22.8%) for those in the low, intermediate and high risk Recurrence Score groups, respectively. They were 6.2% (95% CI 4.5–7.9%), 17.8% (95% CI 11.8–23.3%), and 19.9% (95% CI 14.2–25.2%) for ER-positive patients not treated with tamoxifen. In both the tamoxifen-treated and -untreated groups, approximately 50% of patients had low risk Recurrence Score values. Conclusion: In this large, population-based study of lymph node-negative patients not treated with chemotherapy, the Recurrence Score was strongly associated with risk of breast cancer death among ER-positive, tamoxifen-treated and -untreated patients.
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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
Nishimura, R., Osako, T., Nishiyama, Y., Tashima, R., Nakano, M., Fujisue, M., Toyozumi, Y., & Arima, N. (2013) · Oncology · doi:10.1159/000353099 · Cited by 13,166
Gene expression profiling predicts clinical outcome of breast cancer
van 't Veer, L. J., Dai, H., van de Vijver, M. J., He, Y. D., Hart, A. A. M., Mao, M., Peterse, H. L., van der Kooy, K., Marton, M. J., Witteveen, A. T., et al. (2002) · Nature · doi:10.1038/415530a · Cited by 9,536
Statistical Methods in Cancer Research
Breslow, N. E. (1980) · Cited by 7,332
A Gene-Expression Signature as a Predictor of Survival in Breast Cancer
van de Vijver, M. J., He, Y. D., van 't Veer, L. J., Dai, H., Hart, A. A. M., Voskuil, D. W., Schreiber, G. J., Peterse, J. L., Roberts, C., Marton, M. J., et al. (2002) · New England Journal of Medicine · doi:10.1056/nejmoa021967 · Cited by 6,488
A Multigene Assay to Predict Recurrence of Tamoxifen-Treated, Node-Negative Breast Cancer
Paik, S., Shak, S., Tang, G., Kim, C., Baker, J., Cronin, M., Baehner, F. L., Walker, M. G., Watson, D., Park, T., et al. (2004) · New England Journal of Medicine · doi:10.1056/nejmoa041588 · Cited by 6,277
Self-citationELSTON, C. W., & ELLIS, I. O. (1991) · Histopathology · doi:10.1111/j.1365-2559.1991.tb00229.x · Cited by 6,175
Statistical methods in cancer research. Volume I - The analysis of case-control studies.
Breslow, N. E., & Day, N. E. (1980) · PubMed · Cited by 4,988
Elkablawy, M. A., Albasri, A. M., Mohammed, R. A., Hussainy, A. S., Nouh, M. M., & Alhujaily, A. S. (2016) · Saudi Medical Journal · doi:10.15537/smj.2016.2.12285 · Cited by 4,382
Paik, S., Tang, G., Shak, S., Kim, C., Baker, J., Kim, W., Cronin, M., Baehner, F. L., Watson, D., Bryant, J., et al. (2006) · Journal of Clinical Oncology · doi:10.1200/jco.2005.04.7985 · Cited by 2,579
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Gene expression in fixed tissues and outcome in hepatocellular carcinoma
Hoshida, Y., Villanueva, A., Kobayashi, M., Peix, J., Chiang, D. Y., Camargo, A., Gupta, S., Moore, J., Wrobel, M. J., Lerner, J., et al. (2008) · New England Journal of Medicine · doi:10.1056/nejmoa0804525 · Cited by 1,286
Gene expression profiling in breast cancer: classification, prognostication, and prediction
Reis-Filho, J. S., & Pusztai, L. (2011) · The Lancet · doi:10.1016/s0140-6736(11)61539-0 · Cited by 729
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Schnitt, S. J. (2010) · Modern Pathology · doi:10.1038/modpathol.2010.33 · Cited by 419
Commercialized Multigene Predictors of Clinical Outcome for Breast Cancer
Ross, J. S., Hatzis, C., Symmans, W. F., Pusztai, L., & Hortobágyi, G. N. (2008) · The Oncologist · doi:10.1634/theoncologist.2007-0248 · Cited by 259
Barriers to the Use of Personalized Medicine in Breast Cancer
Weldon, C. B., Trosman, J. R., Gradishar, W. J., Benson, A. B., & Schink, J. C. (2012) · Journal of Oncology Practice · doi:10.1200/jop.2011.000448 · Cited by 76
Metadata
- Authors
- Habel, L. A., Shak, S., Jacobs, M. K., Capra, A., Alexander, C., Pho, M., Baker, J., Walker, M., Watson, D., Hackett, J., Blick, N. T., Greenberg, D., Fehrenbacher, L., Langholz, B., & Quesenberry, C. P.
- Venue
- Breast Cancer Research
- Published
- 2006-05-31
- Volume
- 8
- Issue
- 3
- Pages
- R25-R25
- ISSN
- 1465-5411 (ISSN-L)
- 1465-542X
- OpenAlex
- W1551461559
- Cited by
- 484
- References
- 49
- FWCI
- 13.62
- Type
- journal article
- Language
- en
- Open access
- gold
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- Habel, L. A., Shak, S., Jacobs, M. K., Capra, A., Alexander, C., Pho, M., Baker, J., Walker, M., Watson, D., Hackett, J., Blick, N. T., Greenberg, D., Fehrenbacher, L., Langholz, B., & Quesenberry, C. P. (2006). A population-based study of tumor gene expression and risk of breast cancer death among lymph node-negative patients. Breast Cancer Research. https://doi.org/10.1186/bcr1412
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