Lentiviral short hairpin RNA screen of human kinases and phosphatases to identify potential biomarkers in oral squamous cancer cells
Oral carcinoma is a serious public health problem and the leading cause of head and neck cancer mortality worldwide. Moreover, oral cancer patients often present symptoms at a late stage and show a high recurrence rate after treatment. Therefore, there is an urgent need to identify novel biomarkers...
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Published in | International journal of oncology Vol. 39; no. 5; pp. 1221 - 1231 |
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Main Authors | , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Athens
Editorial Academy of the International Journal of Oncology
01.11.2011
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Subjects | |
Online Access | Get full text |
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Summary: | Oral carcinoma is a serious public health problem and the leading cause of head and neck cancer mortality worldwide. Moreover, oral cancer patients often present symptoms at a late stage and show a high recurrence rate after treatment. Therefore, there is an urgent need to identify novel biomarkers for early diagnosis or clinical oral cancer therapy. In this study, we employed a subset of lentiviral short hairpin RNAs targeted against various kinases and phosphatases, designed by The RNAi Consortium, to screen systemically and in a high-throughput manner for potential growth regulators of oral cancer cells. The screen revealed a total of 50 candidate genes, for which more than 90% of growth inhibition in human oral squamous cancer HSC-3 cells was obtained. Furthermore, bioinformatic analysis of these candidate genes identified transforming growth factor-β receptor type II- and fms-related tyrosine kinase 3-related molecular pathways that are involved in NF-κB-mediated growth of HSC-3 cells. These candidate genes may be potential biomarkers for early diagnosis of oral cancer. In addition, these candidate genes represent potential targets for anticancer drug design helping to develop a personalized treatment to combat oral cancer. |
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ISSN: | 1019-6439 1791-2423 |
DOI: | 10.3892/ijo.2011.1100 |