title: Computational prognostic indicators for breast cancer.
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.
authors: Section of Hematology/Oncology, Department of Pediatrics, and Comer Children's Hospital, The University of Chicago, Chicago, IL, USA.
authors: Xinan
authors: X
authors: Yang
authors: Department of Biological Engineering, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, USA.
authors: Xindi
authors: X
authors: Ai
authors: Section of Hematology/Oncology, Department of Pediatrics, and Comer Children's Hospital, The University of Chicago, Chicago, IL, USA.
authors: John M
authors: JM
authors: Cunningham
keywords: computational model; precision prognosis; tumor