Introduction

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 such divisions. We have developed a graphical method, the X-tile plot that illustrates the presence of substantial tumor subpopulations and shows the robustness of the relationship between a biomarker and outcome by construction of a two dimensional projection of every possible subpopulation. We validate X-tile plots by examining the expression of several established prognostic markers (human epidermal growth factor receptor-2, estrogen receptor, p53 expression, patient age, tumor size, and node number) in cohorts of breast cancer patients and show how X-tile plots of each marker predict population subsets rooted in the known biology of their expression.

Publications

  1. X-tile: a new bio-informatics tool for biomarker assessment and outcome-based cut-point optimization.
    Cite this
    Camp RL, Dolled-Filhart M, Rimm DL, 2004-11-01 - Clinical cancer research : an official journal of the American Association for Cancer Research

Credits

  1. Robert L Camp
    Developer

  2. Marisa Dolled-Filhart
    Developer

  3. David L Rimm
    Investigator

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Summary
AccessionBT003311
Tool TypeApplication
Category
PlatformsWindows
Technologies
User InterfaceTerminal Command Line
Download Count0
Submitted ByDavid L Rimm