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Tetraspanin gene expression levels as potential biomarkers for malignancy of gingival squamous cell carcinoma
Authors:Chizuru Hirano  Masaki Nagata  Arhab A. Noman  Nobutaka Kitamura  Makoto Ohnishi  Tokio Ohyama  Takanori Kobayashi  Kenji Suzuki  Michiko Yoshizawa  Naoya Izumi  Hajime Fujita  Ritsuo Takagi
Affiliation:1. Division of Oral and Maxillofacial Surgery, Niigata University Graduate School of Medical and Dental Sciences, Gakkocho‐dori, Niigata, Japan;2. Fax: +81‐25‐223‐5792.;3. Division of Information Science and Biostatistics, Niigata University Graduate School of Medical and Dental Sciences, Gakkocho‐dori, Niigata, Japan;4. Division of Dental Clinic and Oral Surgery, Nagaoka Red Cross Hospital, Terashimamachi, Nagaoka, Japan;5. Division of Oral Pathology, Department of Tissue Regeneration and Reconstruction, Niigata University Graduate School of Medical and Dental Sciences, Gakkocho‐dori, Niigata, Japan;6. Department of Gastroenterology, Niigata University Graduate School of Medical and Dental Sciences, Asahimachi‐dori, Niigata, Japan;7. Division of Reconstructive Surgery for Oral and Maxillofacial Region, Niigata University Graduate School of Medical and Dental Sciences, Gakkocho‐dori, Niigata, Japan
Abstract:Accurate assessment of malignancy in oral squamous cell carcinoma is essential to optimize treatment planning. To detect a biomarker related to malignant propensity in gingival squamous cell carcinoma (GSCC), quantitative gene expression analysis of tetraspanin family genes was conducted. In 73 cases of GSCC, total RNA was extracted from carcinoma tissues, and gene expression was analyzed by quantitative real time‐PCR. Six tetraspanin family genes (CD9, CD63, CD81, CD82, CD151, NAG‐2) were investigated. Housekeeping genes (ACTB and GAPDH), anchor protein genes (JUP and PXN) and an integrin gene (ITGA3) were used as reference genes. Forty‐five gene expression ratios were calculated from these 11 gene expression levels and were analyzed with clinical parameters using multivariate statistical methods. According to the results of the logistic regression analysis subjecting cervical lymph node metastasis as a target variable, CD9/ACTB (p = 0.013) or CD9/CD82 (p = 0.013) in addition to tumor size (p = 0.028) were detected as significant factors. In Cox proportional hazards regression analysis, delayed cervical lymph node metastasis (p = 0.039) and tumor cell positive surgical margin (p = 0.032) in addition to CD151/GAPDH (p = 0.024) were detected as significant factors for death outcome. A Kaplan‐Meier survival curve presented a significantly lower survival rate of the group with a CD151/GAPDH value of 10 or more (log rank and generalized Wilcoxon tests: p = 0.0003). Results of this study present the usefulness of CD9 and CD151 expression levels as biomarkers for assessment of malignancy in GSCC. They also indicate that detection of residual tumor cells at the surgical margin and the biological malignancy of a tumor interdependently affects prognosis. © 2009 UICC
Keywords:biomarker  tetraspanin  CD9  CD82  CD151  gingival squamous cell carcinoma  lymph node metastasis  death outcome
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