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Activity Number:
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75
- Statistical Genomics in Cancer
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Type:
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Contributed
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Date/Time:
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Sunday, July 30, 2017 : 4:00 PM to 5:50 PM
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Sponsor:
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Section on Statistics in Genomics and Genetics
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Abstract #322691
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View Presentation
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Title:
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Measures of Intra-Tumor Heterogeneity and Their Prognostic Utilities
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Author(s):
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Ning Xu* and Yongzhao Shao
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Companies:
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New York University and New York University-School of Medicine
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Keywords:
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Intra-tumor heterogeneity ;
prognostic accuracy ;
drug resistance ;
ROC
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Abstract:
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Intra-tumor heterogeneity is a condition where there is genetic variation in mutation profile within a tumor. Measuring intra-tumor heterogeneity is of prognostic importance because high intra-tumor heterogeneity is associated with likely treatment-resistance or high metastasis potential, yet effective ways to measure it have not been systematically investigated. This paper proposes and investigates the relative strength and weakness of several indices for measuring intra-tumor heterogeneity, based on data on mutation profiles from Next Generation Sequencing (NGS). Monte Carlo simulations are used to demonstrate the potential utilities of these indices and different performance judged according to predictive accuracy as measured by areas under the ROC curve for classifying binary outcomes and concordance indices for survival outcomes. A real data set is also used to illustrate that a combination of indices significantly improve the prediction accuracy compared to using an existing measure alone (Rocco and Mroz 2013).
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Authors who are presenting talks have a * after their name.
