Use of a supervised machine learning model to predict Oncotype DX risk category in node-positive patients older than 50 years of age
Author:
Funder
Division of Cancer Epidemiology and Genetics, National Cancer Institute
Publisher
Springer Science and Business Media LLC
Subject
Cancer Research,Oncology
Link
https://link.springer.com/content/pdf/10.1007/s10549-022-06763-5.pdf
Reference27 articles.
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2. Paik S, Tang G, Shak S et al (2006) Gene expression and benefit of chemotherapy in women with node-negative, estrogen receptor-positive breast cancer. J Clin Oncol 24:3726–3734. https://doi.org/10.1200/JCO.2005.04.7985
3. Sparano JA, Gray RJ, Makower DF et al (2018) Adjuvant chemotherapy guided by a 21-gene expression assay in breast cancer. N Engl J Med 379:111–121. https://doi.org/10.1056/NEJMoa1804710
4. Lund MJ, Mosunjac M, Davis KM et al (2012) 21-Gene recurrence scores: racial differences in testing, scores, treatment, and outcome. Cancer 118:788–796. https://doi.org/10.1002/CNCR.26180
5. Guth AA, Fineberg S, Fei K et al (2013) Utilization of oncotype DX in an inner city population: race or place? Int J Breast Cancer 2013:1–3. https://doi.org/10.1155/2013/653805
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