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ROC curves of 3 predictive models of survival for the study cohort: Protein biomarkers and conventional pathologic features (——, MUC1, MUC2, MSLN, lymph node status, resection margin status, tumor differentiation); protein biomarkers only (------, MUC1, MUC2, MSLN); conventional pathologic features only (……, lymph node status, resection margin status, tumor differentiation, size).

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posted on 2013-02-20, 02:51 authored by Jordan M. Winter, Laura H. Tang, David S. Klimstra, Murray F. Brennan, Jonathan R. Brody, Flavio G. Rocha, Xiaoyu Jia, Li-Xuan Qin, Michael I. D’Angelica, Ronald P. DeMatteo, Yuman Fong, William R. Jarnagin, Eileen M. O’Reilly, Peter J. Allen

Values along the indicated diagonal line (line of no-discrimination) reflect a random guess, with points above the line being better than random. Harrel’s C-index or area under the curve (AUC) for each plot is provided. P values refer to comparisons between the given ROC curve as compared to pathologic features only.

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