Gene or protein expression data are usually represented by metric or at least ordinal
variables. In order to translate a continuous variable into a clinical decision, it is necessary to …

The ability to parse tumors into subsets based on biomarker expression has many clinical
applications; however, there is no global way to visualize the best cut-points for creating …

We compared the power of gene expression measurements with that of conventional
prognostic markers, ie, clinical, histopathological, and cell biological parameters, for …

Markers that predict treatment effect have the potential to improve patient outcomes. For
example, the has some ability to predict the benefit of adjuvant chemotherapy over and …

Results We illustrate the liabilities of common techniques for categorizing a risk score and
discuss alternative approaches. We promote the use of the restricted mean survival (RMS) …

Abstract Background and Objective Growing evidence of transcriptional and metabolomic
differentiation induced many studies which analyze such differentiation in context of …

When multiple diagnostic tests are performed on an individual or multiple disease markers
are available it may be possible to combine the information to diagnose disease. We …

Advances in genomics, proteomics and molecular pathology have generated many
candidate biomarkers with potential clinical value. Their use for cancer staging and …

Breast cancer is a very complex and heterogeneous disease with variable molecular
mechanisms of carcinogenesis and clinical behaviors. The identification of prognostic risk …

The application and integration of molecular profiling technologies create novel
opportunities for personalized medicine. Here, we introduce the Tumor Profiler Study, an …