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Gene expression profiling towards the prediction of oral cancer reoccurrence

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4 Author(s)
Konstantinos P. Exarchos ; Unit of Medical Technology and Intelligent Information Systems, Dept. of Materials Science and Engineering, University of Ioannina, GR 45110 ; Yorgos Goletsis ; Tito Poli ; Dimitrios I. Fotiadis

In this work we perform gene expression profiling on tissue specimen obtained from patients with oral squamous cell carcinoma with a twofold aim: i) to identify a limited number of genes that capture perturbations at molecular level dictating the development of a potential disease relapse after remission, and ii) to employ these genes in order to build a classifier that is able to calculate the probability of disease reoccurrence for new patients, subsequently discriminating patients into high and low risk groups based on reoccurrence probability. The proposed analysis yielded 94% overall accuracy, 100% sensitivity and 89% specificity, for discriminating patients with and without a disease relapse.

Published in:

2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Date of Conference:

Aug. 30 2011-Sept. 3 2011