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Computational prognostic indicators for breast cancer

Authors Yang X, Ai X, Cunningham J

Received 9 February 2014

Accepted for publication 14 April 2014

Published 12 July 2014 Volume 2014:6 Pages 301—312


Checked for plagiarism Yes

Review by Single-blind

Peer reviewer comments 3

Xinan Yang,1 Xindi Ai,2 John M Cunningham1

1Section of Hematology/Oncology, Department of Pediatrics, and Comer Children's Hospital, The University of Chicago, Chicago, IL, USA; 2Department of Biological Engineering, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, USA

Abstract: Breast cancer remains the leading cause of cancer-related mortality in women. Comprehensive genomics, proteomics, and metabolomics studies are emerging that offer an opportunity to model disease biology, prognosis, and response to specific therapies. Although many biomarkers have been identified through advances in data mining techniques, few have been applied broadly to make patient-specific decisions. Here, we review a selection of breast cancer prognostic indicators and their implications. Our goal is to provide clinicians with a general evaluation of emerging computational methodologies for outcome prediction.

Keywords: computational model, precision prognosis, tumor

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