Potential markers of tongue tumor progression selected by cDNA microarray
| Autor: | F. Carinci, L. Lo Muzio, A. Piattelli, C. Rubini, F. Chiesa, F. Ionna, A. Palmieri, E. Maiorano, A. Pastore, G. Laino, G. Favia, M. Dolci, F. Pezzetti |
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| Přispěvatelé: | Carinci, F, LO MUZIO, L, Piattelli, A, Rubini, C, Chiesa, F, Ionna, F, Palmieri, A, Maiorano, E, Pastore, A, Laino, Gregorio, Dolci, M, Pezzetti, F., Carinci F., Lo Muzio L., Piattelli A., Rubini C., Chiesa F., Ionna F., Palmieri A., Maiorano E., Pastore A., Laino G., Dolci M., Pezzetti F. |
| Jazyk: | angličtina |
| Rok vydání: | 2005 |
| Předmět: |
0301 basic medicine
Adult Male DNA Complementary Microarray GENETIC EXPRESSION TONGUE TUMOR PROGRESSION Immunology Biology PRE-MALIGNANT LESIONS Metastasis 03 medical and health sciences 0302 clinical medicine Tongue MICROARRAY Complementary DNA Gene expression medicine Biomarkers Tumor Immunology and Allergy Humans Neoplasm Metastasis Aged Neoplasm Staging Oligonucleotide Array Sequence Analysis Pharmacology Aged 80 and over Gene Expression Profiling 030206 dentistry DNA Neoplasm Cell cycle Middle Aged medicine.disease Molecular biology Tongue Neoplasms Gene expression profiling Gene Expression Regulation Neoplastic 030104 developmental biology SQUAMOUS CELL CARCINOMA Tumor progression Carcinoma Squamous Cell Disease Progression Female DNA microarray Precancerous Conditions Algorithms Software |
| Popis: | Squamous cell carcinoma (SCC), the most frequent malignant tumor of the oral cavity, generally exhibits a poor prognosis and metastases are the main cause of death. This tumor often arises from pre-malignant lesions. To date, it is difficult to predict if and which pre-malignant lesions may progress into oral SCC using traditional methods. For these reasons, several studies are trying to identify markers useful in the progression of pre-malignant lesions and tumors. To define the genetic expression profile of tongue tumor progression we compared 9 dysplasias (DS), 8 tumors without metastasis (TWM), 11 metastasizing SCCs (MT) of the tongue, and a baseline of 11 normal tissues by using cDNA microarray containing 19.2 K clones. We initially applied hierarchical agglomerative clustering based on information from all 6026 clones. Results were obtained by performing a two steps analysis: a Significance Analysis of Microarray (SAM) and a Gene Ontology search. One hundred and five clones have statistically significant different expression levels (FDR |
| Databáze: | OpenAIRE |
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