title: Classification and identification of genes associated with oral cancer based on gene expression profiles. A preliminary study.
abstract: Oral squamous cell carcinoma (OSCC) is an aggressive malignancy. The five-year survival rate remains largely unchanged for the past 40 years. Early diagnosis has been shown to correlate with increased survival, based on cytologic changes. In order to improve our current treatment strategies for OSCC, it is necessary to understand the genetic and molecular networks underlying this disease. In this preliminary study, we illustrate the application of DNA microarrays to study OSCC. Using computational and statistical algorithms, we were able to differentiate (or classify) "cancer" and "normal" samples based on the behavior of the gene expression profiles. We found 651 genes to be associated with cancer. This article describes a preliminary study of current developments from the Human Genome Project (HGP) and its application to OSCC.
authors.forename: Winston Patrick
authors.initials: WP
authors.lastname: Kuo
authors.forename: Rifat
authors.initials: R
authors.lastname: Hasina
authors.forename: Lucila
authors.initials: L
authors.lastname: Ohno-Machado
authors.forename: Mark W
authors.initials: MW
authors.lastname: Lingen
mesh_terms: D002294:Carcinoma, Squamous Cell / Q000145:classification / Q000235:genetics*; D020869:Gene Expression Profiling; D015972:Gene Expression Regulation, Neoplastic; D016045:Human Genome Project; D006801:Humans; D016555:Matched-Pair Analysis; D009062:Mouth Neoplasms / Q000145:classification / Q000235:genetics*; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*