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- Title
Potential diagnostic value of P16 expression in premalignant and malignant cervical lesions.
- Authors
Izadi-Mood, Narges; Asadi, Kourosh; Shojaei, Hadi; Sarmadi, Soheila; Ahmadi, Seyed Ali; Sani, Sanaz; Chelavi, Leila Hashemi
- Abstract
Background: The goal of this study was to evaluate the results of the expression of p16INK4a in normal uterine cervical epithelium, low-grade cervical intraepithelial neoplasia (CIN), high-grade CIN, squamous cell carcinoma (SCC), and adenocarcinoma of the cervix, in order to help draw a distinction between low risk and high risk patients with cervical lesions. Materials ans Methods: P16INK4a expression was evaluated by immunohistochemistry in 78 paraffin-embedded tissue samples including 39 normal cervical tissues, 11 low-grade CINs, 11 high-grade CINs, 22 cervical SCCs and 8 cervical adenocarcinomas. Two parameters in immunohistochemical p16 expression were evaluated: percentage of p16-positive cells, and reaction intensity. Results: The p16INK4a expression rate was 81.8% in low-grade CINs, 91% in high-grade CINs, 90% in SCCs and 75% in cervical adenocarcinomas. 10% of normal cervical samples expressed p16. Moreover, there was a significant relationship between the histological diagnoses and percentage of positive cells and reaction intensity of p16 (p < 0.005). The intensity of the reaction was the best parameter to evaluate the positivity of p16. Conclusions: Over-expression of the p16INK4a was typical for dysplastic and neoplastic epithelia of the uterine cervix. However, p16INK4a-negative CINs and carcinomas did exist. Although negative p16INK4a expression does not definitely exclude the patient with cervical lesion from the high-risk group, immunohistochemical study for p16INK4a may be used as a supplementary test for an early diagnosis of cervical cancers.
- Subjects
IRAN; TUMOR markers; ACADEMIC medical centers; CHI-squared test; FISHER exact test; IMMUNOHISTOCHEMISTRY; RISK assessment; TUMOR classification; CERVIX uteri tumors; LOGISTIC regression analysis; DATA analysis software; DIAGNOSIS; THERAPEUTICS
- Publication
Journal of Research in Medical Sciences, 2012, Vol 17, Issue 5, p428
- ISSN
1735-1995
- Publication type
Article