| 1560 Patient-based Salivary and Serum Transcriptome Biomarkers for OSCC Detection | ||
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Y. LI1, M. OH1, M. ST-JOHN1, U. SINHA2, D. ELASHOFF1, and D.T. WONG1, 1University of California, Los Angeles, USA, 2University of Southern California, Los Angeles, USA The lack of prognostic improvement in oral squamous cell carcinoma (OSCC) can mostly be attributed to diagnostic delay. The identification of novel molecular biomarkers would meet the imperative demand for early detection of OSCC. Objective: Recent discovery that discriminatory human mRNA be reliably detected in saliva and serum present novel diagnostic approaches for early disease detection (J Dent Res, 83(3):199-204, 2004; Clin Can Res, 2004, in press). This study is to report human mRNA profiles in saliva and serum and to evaluate their diagnostic value for OSCC. Methods: Saliva and blood were collected from patients with primary T1/T2 OSCC (n=32) and matched normal subjects (n=32). Precautionary methodologies and techniques were developed to halt RNA degradation and to maximally recover human mRNA from saliva and serum. The quality and quantity of RNA were assessed by different RNA assays. HG-U133A microarray was used to profile transcriptome patterns between OSCC patients and normal subjects. Quantitative PCR (qPCR) was used to validate the selected transcripts that showed significant difference in saliva and serum. Multiple statistical strategies were used to build prediction models to identify the best combinations of serum and saliva RNA biomarkers for best discriminating OSCC. Results: Sequential methodologies were developed and optimized for salivary and serum RNA collection, preservation, isolation and amplification. The optimized methods can recover up to 10,000 species of human mRNA both in saliva and serum. The RNA harvested was of sufficient quality for PCR, qPCR and microarray. Both serum and saliva exhibit unique gene transcriptome profiles. The risk model yield a predict power of 95% by using salivary transcriptome and 88% by using serum transcriptome for OSCC detection. Conclusion: The transcriptome biomarkers from bodily fluids can be exploited to robust, high-throughput and reproducible tools for early disease detection. *Supported by PHS Grants RO1-DE12970, UO1-DE15018 and UCLA JCCC Grant. | ||
| Seq #192 - Salivary Proteomics 10:45 AM-12:45 PM, Friday, 11 March 2005 Baltimore Convention Center 322-323 | ||
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