56 96

Cited 3 times in

Identification of a combined biomarker for malignant transformation in oral submucous fibrosis

Authors
 Shadavlonjid Bazarsad  ;  Xianglan Zhang  ;  Ki‐Yeol Kim  ;  Rasika Illeperuma  ;  Ruwan D Jayasinghe  ;  Wanninayake M Tilakaratne  ;  Jin Kim 
Citation
 Journal of Oral Pathology & Medicine, Vol.46(6) : 431-438, 2017 
Journal Title
 Journal of Oral Pathology & Medicine 
ISSN
 0904-2512 
Issue Date
2017
MeSH
Adult ; Areca/adverse effects ; Biomarkers, Tumor/analysis* ; Biopsy ; Cell Transformation, Neoplastic/pathology* ; Cyclin-Dependent Kinase Inhibitor p16/analysis* ; Female ; Humans ; Immunohistochemistry ; Ki-67 Antigen/analysis* ; Male ; Middle Aged ; Mouth Neoplasms/pathology* ; Oral Submucous Fibrosis/pathology* ; Risk Factors
Keywords
combined biomarkers ; oral submucous fibrosis ; risk assessment ; squamous cell carcinoma
Abstract
BACKGROUND: Oral submucous fibrosis (OSF) is a chronic progressive disease of the oral cavity that is considered a common potentially malignant disorder in South Asia. Areca nut chewing is the main etiological factor, but its carcinogenic mechanism has yet to be proven. The purpose of this study was to identify the useful biomarkers in predicting high-risk patients with OSF. METHODS: Thirty-six cases of OSF and six cases of normal oral mucosa (NOM) were used for this study. Immunohistochemical staining was performed for Ki67, cyclin D1, p16, p53, β-catenin, c-Jun, c-Met, and insulin-like growth factor II mRNA-binding protein 3 (IMP3). The expression patterns of NOM served as guidelines for the scoring system. RESULTS: The expression of Ki67, cyclin D1, c-Met, IMP3, and β-catenin showed a significant difference between OSF and NOM samples. The combined biomarkers of Ki67 and p16 showed significantly different expression between the transformation and non-transformation groups. With discriminant analysis, we proposed a noble formula and cutoff value for predicting high-risk patients with OSF. CONCLUSION: The notable biomarkers in our present study were Ki67 and p16 showing significantly different expression levels between the transformation and non-transformation groups. With the identification of high-risk patients with OSF, we can expect to develop more intensive treatment modalities, leading to the reduction in cancer transformation rate from OSF.
Files in This Item:
T201702269.pdf Download
DOI
10.1111/jop.12483
Appears in Collections:
2. College of Dentistry (치과대학) > Others (기타) > 1. Journal Papers
2. College of Dentistry (치과대학) > Dept. of Oral Pathology (구강병리학교실) > 1. Journal Papers
5. Research Institutes (연구소) > Oral Cancer Research Institute (구강종양연구소) > 1. Journal Papers
Yonsei Authors
Kim, Ki Yeol(김기열) ORCID logo https://orcid.org/0000-0001-5357-1067
Kim, Jin(김진)
Zhang, Xiang Lan(장향란)
Export
RIS (EndNote)
XLS (Excel)
XML
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/160381
사서에게 알리기
  feedback

qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse