A Novel 18-Marker Panel Predicting Clinical Outcome in Breast Cancer

Conclusions: Our findings demonstrated that the 18 molecular markers were strong predictors of breast cancer–specific mortality. The stable time-dependent area under the ROC curve function (AUC(t)) and high C-indices in the training and validation cohorts were further improved by fitting a combined model consisting of the 18-marker panel and established clinical markers. Impact: Our work supports the applicability of this 18-marker panel to improve clinical outcome prediction for breast cancer patients. Cancer Epidemiol Biomarkers Prev; 26(11); 1619–28. ©2017 AACR.

http://cebp.aacrjournals.org/cgi/content/short/26/11/1619?rss=1

Source: Cancer Epidemiology Biomarkers and Prevention - October 31, 2017 Category: Cancer & Oncology Authors: Biermann, J., Nemes, S., Parris, T. Z., Engqvist, H., Rönnerman, E. W., Forssell-Aronsson, E., Steineck, G., Karlsson, P., Helou, K. Tags: Research Articles Source Type: research