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Diagnosis and therapy of oral squamous cell carcinoma

Konkimalla, Badireenath V and Laxminarayana Suhas, Venkatramana and Chandra, Nagasuma R and Gebhart, Erich and Efferth, Thomas (2007) Diagnosis and therapy of oral squamous cell carcinoma. In: Expert Review of Anticancer Therapy, 7 (3). pp. 317-329.

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Abstract

Oral squamous cell carcinoma ranks among the top ten most common cancers worldwide. Despite the success in diagnosis and therapy during the past 30 years, oral squamous cell carcinoma still belongs to the tumor types with a very unfavorable prognosis. In an effort to identify genomic alterations with prognostic relevance, we applied the comparative genomic hybridization technique on oral squamous cell carcinoma. The tumors exhibited from five up to 47 DNA copy number alterations, indicating a considerable degree of genomic imbalance. Out of 35 tumors, 19 showed a gain of chromosome band 7p12. Genomic imbalances were investigated by hierarchical cluster analysis and clustered image mapping to investigate whether genomic profiles correlate with clinical data. Results of the present investigation show that profiling of genomic imbalances in general, and especially of the epidermal growth factor receptor (EGFR) on 7p12, may be suitable as prognostic factors. In order to identify small-molecule inhibitors for EGFR, we established a database of 531 natural compounds derived from medicinal plants used in traditional Chinese medicine. Candidate compounds were identified by correlation analysis using the Kendall τ-test of IC50 values of tumor cell lines and microarray-based EGFR mRNA expression. Further validation was performed by molecular docking studies using the AutoDock program with the crystal structure of EGFR tyrosine kinase domain as docking template. We estimate these results will be a further step toward the ultimate goal of individualized, patient-adapted tumor treatment based on tumor molecular profiling.

Item Type: Journal Article
Additional Information: Copyright of this article belongs to Expert Reviews Ltd.
Department/Centre: Division of Information Sciences > BioInformatics Centre
Date Deposited: 30 May 2008
Last Modified: 27 Aug 2008 13:24
URI: http://eprints.iisc.ernet.in/id/eprint/14117

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