Risk Categorization with Different Grades of Cervical Pre-Neoplastic Lesions - High Risk HPV Associations and Expression of p53 and RARβ

Document Type: Research Articles

Authors

1 Department of Pathology and Cancer Screening, Chittaranjan National Cancer Institute, Kolkata, India.

2 Department of Signal Transduction and Biogenic Amines, Chittaranjan National Cancer Institute, Kolkata, India.

3 Department of Epidemiology and Biostatistics, Chittaranjan National Cancer Institute, Kolkata, India.

4 Institute of Medicine and Sagar Dutta Hospital, Kolkata, India.

Abstract

Objective: To identify high risk HPV associations by evaluating linked p16 overexpression and also the expression
of p53 and RARβ together with histopathology for risk categorization of cervical pre-neoplastic lesions. Materials and
Methods: Immunohistochemical staining was performed on 100 cases of cervical pre- neoplastic lesions for expression
of biomarkers like p16, p53 and RARβ for comparison with haematoxylin/eosin (HE) findings. All the experimentally
generated data were statistically analyzed. Results: In this study 70% cases showed overexpression of p16INK4A
increasing progressively from CIN I to CIN II but reduced in CIN III (p <0.01). p53 oncoprotein expression was seen
in 51% cases, again with increments from CIN I to CIN II with slight reduction in CIN III (p<0.01). Some 24% cases
showed negative immunoreactivity for the putative tumor suppressor gene RARβ (p>0.05). Conclusion: Our study
provides support for the idea that p16 can be used to identify associations with HPV , as well as having potential
along with p53 and RARβ for categorizing cervical pre-neoplastic cases having a higher risk of neoplastic conversion.
Thus it may be concluded that accurate risk categorization can be achieved with the help of genetic markers as well
as histopathology.

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