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Abstract

A database for predicting clinical outcomes based upon quantitative tumor burden in lymph node samples from an individual is provided. The database comprises data sets from a plurality of individuals. The data sets include clinical outcome data and data regarding number of lymph nodes evaluated, maximum number of biomarker detected in any single node, median normalized expression levels detected across all evaluated lymph nodes and the maximum normalized expression levels detected in any evaluated lymph nodes and the database also includes stratified risk categories based upon recursive partitioning of data. A system for predicting clinical outcomes based upon quantitative tumor burden in lymph node samples from an individual is provided which includes the database linked to a data processor, an input interface and an output interface. Method of preparing a database and method for predicting clinical outcome for a test patient based upon quantitative tumor burden in lymph node samples from an individual using a system that includes the database linked to a data processor, an input interface and an output interface. The method comprises measuring quantitative tumor burden in a plurality of lymph node samples from an individual, inputting the results into the system and processing with data in the database. The results of the processing of the data is the assignment of data test patient to a stratified risk category. Output is produced that displays test patient's identity and assigned stratified risk category.

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