ISSN (Online): 2348-991X | ISSN (Print): 2454-9576
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Expression of Pcna in Salivary Gland Adenoid Cystic Carcinoma and Its Correlation with Clinicopathological Parameters

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DOI: 10.18535/ijmsci/v5i6.04· Pages: 3868-3872· Vol. 5, No. 6, (2018)· Published: June 30, 2018
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Abstract

Adenoid cystic carcinoma (ACC) is a one of the malignant salivary gland tumors in the head and neck region. Although complete surgical resection and addition radiotherapy have been shown to improve long term survival, the prognosis of ACC remains poor hence early diagnosis may diminish it. Aim. The aim of this study is to determine expression of PCNA in salivary gland adenoid cystic carcinoma and its correlation to clinicopathological parameters. Methods: the study was conducted by identifying the cases of salivary gland adenoid cystic carcinoma between 2013 – 2015. Clinical information was collected regarding age, gender, location, and histopathological grading of tumor. The expression of PCNA was assessed by using immunohistochemistry. Results. A total of 23 cases of salivary gland adenoid cystic carcinoma were identified. There was no significant difference between immunoexpression of PCNA and clinical parameters although there was a very strong correlation between expression of PCNA and histopathological grading (p<0.01).  Conclusion. There was a correlation between expression of PCNA and histopathological grading in salivary gland adenoid cystic carcinoma. Thus, PCNA expression can be used to predict the prognosis of ACC.

Author details
Silvi Kintawati
✉ Corresponding Author
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Silvi Kintawati
Department of Oral Biology, Faculty of Dentistry, Universitas Padjadjaran, Bandung – Indonesia
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Murnisari Darjan
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Murnisari Darjan
Department of Oral Biology, Faculty of Dentistry, Universitas Padjadjaran, Bandung – Indonesia
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Winny Yohana
Department of Oral Biology, Faculty of Dentistry, Universitas Padjadjaran, Bandung – Indonesia
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Emma Rachmawati
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Emma Rachmawati
Department of Oral Biology, Faculty of Dentistry, Universitas Padjadjaran, Bandung – Indonesia
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