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      X-tile: a new bio-informatics tool for biomarker assessment and outcome-based cut-point optimization.

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          Abstract

          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.

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          Author and article information

          Journal
          Clin Cancer Res
          Clinical cancer research : an official journal of the American Association for Cancer Research
          American Association for Cancer Research (AACR)
          1078-0432
          1078-0432
          Nov 01 2004
          : 10
          : 21
          Affiliations
          [1 ] Department of Pathology, Yale University, School of Medicine, New Haven, Connecticut 06520, USA. robert.camp@yale.edu
          Article
          10/21/7252
          10.1158/1078-0432.CCR-04-0713
          15534099
          7691eb26-c1a6-4add-a754-ba16383e3916

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