Journal
CANCER MANAGEMENT AND RESEARCH
Volume 6, Issue -, Pages 301-312Publisher
DOVE MEDICAL PRESS LTD
DOI: 10.2147/CMAR.S46483
Keywords
computational model; precision prognosis; tumor
Categories
Funding
- NIH [R21 CA167305-01A1]
- NATIONAL CANCER INSTITUTE [R21CA167305] Funding Source: NIH RePORTER
- NATIONAL CENTER FOR ADVANCING TRANSLATIONAL SCIENCES [UL1TR000430] Funding Source: NIH RePORTER
Ask authors/readers for more resources
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
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available