BACKGROUND: Oral cancer is the most common subset of head and neck squamous cell carcinomas (HNSCC). These tumors often have an aggressive clinical outcome hallmarked by a propensity for local invasion and regional nodal metastasis. Upregulated genes could be useful as markers for diagnosis, prognosis, and as new drug targets for these tumors. METHODS: To identify upregulated genes in oral squamous cell carcinomas (OSSCs), we examined the ORESTES public database and used a quantitative reverse transcription-polymerase chain reaction (qRT-PCR) approach to determine the expression level of selected genes in tumor samples. RESULTS AND CONCLUSIONS: The ORESTES data mining analysis indicated 40 upregulated genes in HNSCC. Nine of these candidate genes were selected for further qRT-PCR validation and 3 of them (ALDOA, AHSA1, and POLQ) were frequently found upregulated in OSCC samples, which may indicate an association of these genes with the carcinogenesis process in this tumor site and they can constitute potential new targets for therapy.
BACKGROUND:Oral cancer is the most common subset of head and neck squamous cell carcinomas (HNSCC). These tumors often have an aggressive clinical outcome hallmarked by a propensity for local invasion and regional nodal metastasis. Upregulated genes could be useful as markers for diagnosis, prognosis, and as new drug targets for these tumors. METHODS: To identify upregulated genes in oral squamous cell carcinomas (OSSCs), we examined the ORESTES public database and used a quantitative reverse transcription-polymerase chain reaction (qRT-PCR) approach to determine the expression level of selected genes in tumor samples. RESULTS AND CONCLUSIONS: The ORESTES data mining analysis indicated 40 upregulated genes in HNSCC. Nine of these candidate genes were selected for further qRT-PCR validation and 3 of them (ALDOA, AHSA1, and POLQ) were frequently found upregulated in OSCC samples, which may indicate an association of these genes with the carcinogenesis process in this tumor site and they can constitute potential new targets for therapy.
Authors: D Ma; X Chen; P-Y Zhang; H Zhang; L-J Wei; S Hu; J-Z Tang; M-T Zhou; C Xie; R Ou; Y Xu; K-F Tang Journal: Oncogene Date: 2017-10-30 Impact factor: 9.867
Authors: Karl E Zahn; April M Averill; Pierre Aller; Richard D Wood; Sylvie Doublié Journal: Nat Struct Mol Biol Date: 2015-03-16 Impact factor: 15.369
Authors: Kelly Beagan; Robin L Armstrong; Alice Witsell; Upasana Roy; Nikolai Renedo; Amy E Baker; Orlando D Schärer; Mitch McVey Journal: PLoS Genet Date: 2017-05-25 Impact factor: 5.917