CONCLUSION: This study clearly showed the molecular characteristics of head and neck squamous cell carcinoma (HNSCC) on the basis of gene expression patterns. OBJECTIVE: cDNA microarray has recently been shown to have the ability to represent the expression patterns of large numbers of genes from a small amount of tissue, potentially enabling definition of groups of patients with similar biological behavior of cancer. Although gene expression profiling using this technique has proven helpful for predicting the prognosis in various cancers, little is known regarding HNSCC. The aim of this study was to investigate the differences in the expression of various genes between normal tissue and cancers of patients with HNSCC by cDNA microarray. PATIENTS AND METHODS: We extracted mRNA from 17 HNSCC patients and used cDNA microarray analysis to investigate the gene expression patterns. The present study was not designed to perform an inclusive search for genes but rather to focus on cancer-related genes. RESULTS: Seven independent genes were found to be up-regulated in cancer tissues: matrix metalloproteinase-1, -3, and -10, interleukin-8, cadherin 3, hexabrachion, and interferon gamma-inducible protein 10. Hyaluronic acid-binding protein 2, keratin 4, and keratin 13 were categorized as down-regulated. The hierarchical clustering and dendrogram for 17 cancer samples and 425 genes could be grouped into three clusters.
CONCLUSION: This study clearly showed the molecular characteristics of head and neck squamous cell carcinoma (HNSCC) on the basis of gene expression patterns. OBJECTIVE: cDNA microarray has recently been shown to have the ability to represent the expression patterns of large numbers of genes from a small amount of tissue, potentially enabling definition of groups of patients with similar biological behavior of cancer. Although gene expression profiling using this technique has proven helpful for predicting the prognosis in various cancers, little is known regarding HNSCC. The aim of this study was to investigate the differences in the expression of various genes between normal tissue and cancers of patients with HNSCC by cDNA microarray. PATIENTS AND METHODS: We extracted mRNA from 17 HNSCC patients and used cDNA microarray analysis to investigate the gene expression patterns. The present study was not designed to perform an inclusive search for genes but rather to focus on cancer-related genes. RESULTS: Seven independent genes were found to be up-regulated in cancer tissues: matrix metalloproteinase-1, -3, and -10, interleukin-8, cadherin 3, hexabrachion, and interferon gamma-inducible protein 10. Hyaluronic acid-binding protein 2, keratin 4, and keratin 13 were categorized as down-regulated. The hierarchical clustering and dendrogram for 17 cancer samples and 425 genes could be grouped into three clusters.
Authors: Marni Stott-Miller; John R Houck; Pawadee Lohavanichbutr; Eduardo Méndez; Melissa P Upton; Neal D Futran; Stephen M Schwartz; Chu Chen Journal: Cancer Epidemiol Biomarkers Prev Date: 2011-09-29 Impact factor: 4.254
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Authors: Mark A Merkley; Paul M Weinberger; Lana L Jackson; Robert H Podolsky; Jeffrey R Lee; William S Dynan Journal: Otolaryngol Head Neck Surg Date: 2009-11 Impact factor: 3.497
Authors: Giovana M Polachini; Lays M Sobral; Ana M C Mercante; Adriana F Paes-Leme; Flávia C A Xavier; Tiago Henrique; Douglas M Guimarães; Alessandra Vidotto; Erica E Fukuyama; José F Góis-Filho; Patricia M Cury; Otávio A Curioni; Pedro Michaluart; Adriana M A Silva; Victor Wünsch-Filho; Fabio D Nunes; Andréia M Leopoldino; Eloiza H Tajara Journal: PLoS One Date: 2012-12-05 Impact factor: 3.240