Oral cancer is one of the most common cancers. In the US there are over 39,000 new cases of oral cancer each year. It causes approximately 8,000 deaths per year, killing roughly 1 person per hour. One of the major clinical problems of oral cancer is the late detection of the disease. Improvement in patient survival requires a better understanding of oral cancer initiation and progression, so that aggressive tumors can be detected early in the disease process and targeted therapeutic interventions can be deployed. While many studies have been devoted to investigate molecular events in tumorigenesis of oral cancer, most efforts are focused on protein coding genes. The knowledge on the role of non-coding genes (e.g., microRNA) in oral cancer is relatively limited. Our recent studies have demonstrated critical contributions of microRNA deregulation in oral cancer. However, the comprehensive microRNA alteration pattern associated with early stage oral cancer is still lacking, which hindered the potential utilization of microRNA as diagnostic biomarkers. Brush oral cytology is a minimally-invasive method that can be used to collect cells from suspect oral lesions for histological and biochemical analyze. Our recent results demonstrated that we can consistently measure RNA markers in the brush oral cytology samples. In this study, we will identify unique microRNA signatures that associated with early stage oral cancer from the brush oral cytology samples (Specific Aim 1). We will then test the diagnostic values of these microRNA markers in an independent sample set (Specific Aim 2). Statistical classification models will be developed to assess the diagnostic values of these microRNAs. This proposal combines minimally-invasive methods with the emerging genomic technologies to harness microRNA determinants in oral cancer. The outcomes from this study will provide strong rationale and scientific foundation for more extensive patient- based studies to identify and validate microRNA biomarkers for early detection of oral cancer.

Public Health Relevance

Oral cancer is an understudied and undertreated disease. One of the major clinical problems for oral cancer patients is the late detection of the disease. This proposal will identify molecular determinants associated with early stage oral cancer from a pool of novel nucleic acid molecules (e.g., microRNA), and then utilize them as biomarkers with a minimally-invasive method for the early diagnosis of oral cancer.

National Institute of Health (NIH)
National Cancer Institute (NCI)
Small Research Grants (R03)
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Special Emphasis Panel (ZCA1)
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Krueger, Karl E
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University of Illinois at Chicago
Schools of Dentistry/Oral Hygn
United States
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Simões, Alyne; Chen, Zujian; Zhao, Yan et al. (2018) Laser Capture Microdissection of Epithelium from a Wound Healing Model for MicroRNA Analysis. Methods Mol Biol 1733:225-237
Chen, Zujian; Yu, Tianwei; Cabay, Robert J et al. (2017) miR-486-3p, miR-139-5p, and miR-21 as Biomarkers for the Detection of Oral Tongue Squamous Cell Carcinoma. Biomark Cancer 9:1-8
Wang, Wei; He, Qianting; Yan, Wangxiang et al. (2017) High glucose enhances the metastatic potential of tongue squamous cell carcinoma via the PKM2 pathway. Oncotarget 8:111770-111779
He, Qianting; Chen, Zujian; Cabay, Robert J et al. (2016) microRNA-21 and microRNA-375 from oral cytology as biomarkers for oral tongue cancer detection. Oral Oncol 57:15-20
Zhou, X; Luan, X; Chen, Z et al. (2016) MicroRNA-138 Inhibits Periodontal Progenitor Differentiation under Inflammatory Conditions. J Dent Res 95:230-7
He, Qianting; Chen, Zujian; Dong, Qian et al. (2016) MicroRNA-21 regulates prostaglandin E2 signaling pathway by targeting 15-hydroxyprostaglandin dehydrogenase in tongue squamous cell carcinoma. BMC Cancer 16:685
Chen, Dan; Chen, Zujian; Jin, Yi et al. (2013) MicroRNA-99 family members suppress Homeobox A1 expression in epithelial cells. PLoS One 8:e80625
Chen, Dan; Cabay, Robert J; Jin, Yi et al. (2013) MicroRNA Deregulations in Head and Neck Squamous Cell Carcinomas. J Oral Maxillofac Res 4:e2