Ki-Yeol Kim1, In-Ho Cha. 1. Oral Cancer Research Institute, College of Dentistry, Yonsei University, Seoul 120-752, Republic of Korea. kky1004@yuhs.ac
Abstract
PURPOSE: Oral squamous cell carcinoma (OSCC) is associated with substantial mortality and morbidity, and oral tongue squamous cell carcinoma (SCC) is representative in OSCC. Early detection of oral premalignant lesions (OPLs) that will develop into invasive tumors is necessary to improve the poor prognosis of this cancer. METHODS: To identify potential biomarkers that could be used for early detection, we compared the gene expression of incident primary oral tongue SCC, severe dysplasia, mild and moderate dysplasia. For this, we used three expression datasets obtained from a public database and selected chromosomal locations related with the progress of oral tongue cancer from a dataset. We then evaluated the gene set, which is included in the selected chromosomal locations, using out of bag (OOB) error and plots in two validation datasets. RESULTS: Sixty-two chromosomal locations were detected, and most genomic aberrations were shown in chromosome 3. We identified 62 genes included in those locations, and three precancerous and SCC groups were well classified with low OOB error rates. These were also discriminative in the two validation datasets. CONCLUSIONS: The selected probes with genomic alteration in low-grade dysplasia can be used as an effective predictor for disease progression.
PURPOSE: Oral squamous cell carcinoma (OSCC) is associated with substantial mortality and morbidity, and oral tongue squamous cell carcinoma (SCC) is representative in OSCC. Early detection of oral premalignant lesions (OPLs) that will develop into invasive tumors is necessary to improve the poor prognosis of this cancer. METHODS: To identify potential biomarkers that could be used for early detection, we compared the gene expression of incident primary oral tongue SCC, severe dysplasia, mild and moderate dysplasia. For this, we used three expression datasets obtained from a public database and selected chromosomal locations related with the progress of oral tongue cancer from a dataset. We then evaluated the gene set, which is included in the selected chromosomal locations, using out of bag (OOB) error and plots in two validation datasets. RESULTS: Sixty-two chromosomal locations were detected, and most genomic aberrations were shown in chromosome 3. We identified 62 genes included in those locations, and three precancerous and SCC groups were well classified with low OOB error rates. These were also discriminative in the two validation datasets. CONCLUSIONS: The selected probes with genomic alteration in low-grade dysplasia can be used as an effective predictor for disease progression.
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