This section will consider studies on all aspects of the function of biological systems at the molecular and cellular level, in particular those addressing network modeling, quantitative analyses and the integration of different levels of information. Topics of interest include, but are not limited to, deep sequencing-based technologies, computational biology and machine learning in relation to cancer biology.
The effects of lymph node status on predicting outcome in ER+ /HER2- tamoxifen treated breast cancer patients using gene signatures
Lymph node (LN) status is the most important prognostic variable used to guide ER positive (+) breast cancer treatment. While a positive nodal status is traditionally associated with a poor prognosis, a subset...
Citation: BMC Cancer 2016 16:555