Computer program to assist in making decisions about adjuvant therapy for women with early breast cancer.

By P. Ravdin, L. Siminoff, G. Davis, M. Mercer, J. Hewlett, N. Gerson, H. Parker. Journal of Clinical Oncology, 2001

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An online survival analysis tool to rapidly assess the effect of 22,277 genes on breast cancer prognosis using microarray data of 1,809 patients (2010, background): “1 ± 1 2 0 0 [2 4 ]”
Prediction of risk of distant recurrence using the 21-gene recurrence score in node-negative and node-positive postmenopausal patients with breast cancer treated with anastrozole or tamoxifen: a TransATAC study. (2010, background): “Clinical parameters can help characterize risk and, in some cases, have been integrated as convenient Web-based algorithms as with Adjuvant! Online.(10) However, parameters such as tumor size and nodal status do not reveal the wide molecular heterogeneity seen between breast tumors even within the h”
MicroRNAs: New Biomarkers for Diagnosis, Prognosis, Therapy Prediction and Therapeutic Tools for Breast Cancer (2015, background): “Therapeutic management of BC is based on the availability of strong diagnostic, prognostic, and predictive factors to guide the decision and the choice of different treatment options [145-147].”
bc-GenExMiner: an easy-to-use online platform for gene prognostic analyses in breast cancer (2012, background): “Furthermore, to evaluate independent prognostic impact of genes relative to the well-established breast cancer prognostic indexes, Nottingham Prognostic Index- (NPI)- and Adjuvant! Online (AOL)-adjusted Cox proportional hazards models are systematically performed [19, 20].”