Evaluation of cell adhesion molecules FN1, CD49D, SDC2, and CD44 as tumor markers of oral squamous cell carcinoma

碩士 === 高雄醫學大學 === 牙醫學研究所 === 98 === Background: Tumor markers are detected in higher-than-normal amount in cancer. It is applicable to diagnose cancer, assess the response to cancer therapy, and check for cancer recurrence. The identification and validation of oral squamous cell carcinoma (OSCC) bio...

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Bibliographic Details
Main Authors: Chien-yang Huang, 黃建揚
Other Authors: Chung-Ho Chen
Format: Others
Language:zh-TW
Published: 2010
Online Access:http://ndltd.ncl.edu.tw/handle/80234373101118657079
Description
Summary:碩士 === 高雄醫學大學 === 牙醫學研究所 === 98 === Background: Tumor markers are detected in higher-than-normal amount in cancer. It is applicable to diagnose cancer, assess the response to cancer therapy, and check for cancer recurrence. The identification and validation of oral squamous cell carcinoma (OSCC) biomarkers may be benefit to the current treatment of patients suffering OSCC. Materials and methods: 55 samples of OSCC and safe-margin normal tissue were collected at the time of operation at the Department of Oral and Maxillofacial Surgery, Kaohsiung Medical University, between 2006 and 2009. All cancer TNM samples were classified at diagnosis according to the TNM classification and clinical features. Based on our previous microarray data, we used the bioinformatics tool to analyze their possible protein interaction for some candidates related to cell adhesion molecules and the related pathways. Subsequently, Their gene expressions were monitored by real-time PCR and ROC curve analysis. Results: Fibernectin 1 (FN1), Integrin alpha 4 (CD49D), syndecan 2 (SDC2), and CD44 molecule (CD44) were selected from up-regulated genes. The area under the Receiver Operator Characteristic curve (ROC curve) for FN1, CD49D, SDC2, abd CD44 were 0.70 (95% confidence interval [CI] = 0.5985~0.801, p < 0.001), 0.67 (95% CI = 0.574~0.773, p = 0.001), 0.51 (95% CI = 0.406~0.620, p = 0.812), and 0.55 (95% CI = 0.441~0.657, p = 0.373) for OSCC patients versus normal controls respectively. These results suggested that the FN1 and CD49D significantly detected the OSCC. No significant difference was found between each stage of AJCC oral cancer classification, and between different contacting history of carcinogenic factors (alcohol, betel quid and cigarette) in relative gene expression of OSCC and their paired tissues. If we use FN1 and CD49D for detecing OSCC may be less limited to above clincopathological features of OSCC. However, there are significant differences between different tomor locations in FN1 and SDC2. This results may contribute toward further research. Conclusion: FN1 and CD49D are potential biomarkers for detection of OSCC.