title: Gene expression profiling towards the prediction of oral cancer reoccurrence.
abstract: 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.
authors.affiliation: Unit of Medical Technology and Intelligent Information Systems, Dept of Materials Science and Engineering, University of Ioannina, GR 45110. kexarcho@gmail.com
authors.forename: Konstantinos P
authors.initials: KP
authors.lastname: Exarchos
authors.forename: Yorgos
authors.initials: Y
authors.lastname: Goletsis
authors.forename: Tito
authors.initials: T
authors.lastname: Poli
authors.forename: Dimitrios I
authors.initials: DI
authors.lastname: Fotiadis
mesh_terms: D000465:Algorithms; D020869:Gene Expression Profiling; D015972:Gene Expression Regulation, Neoplastic; D052138:Genes, Neoplasm / Q000235:genetics; D006801:Humans; D009062:Mouth Neoplasms / Q000235:genetics*; D009364:Neoplasm Recurrence, Local / Q000235:genetics*