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

Autor: Nabendu Murmu, Syamsundar Mandal, Asoke Roy, A Roy, Dipanwita Ghosh
Jazyk: angličtina
Rok vydání: 2019
Předmět:
0301 basic medicine
Adult
medicine.medical_specialty
Pathology
Receptors
Retinoic Acid
Uterine Cervical Neoplasms
Haematoxylin
Risk Assessment
03 medical and health sciences
chemistry.chemical_compound
Young Adult
0302 clinical medicine
tumour markers
Biomarkers
Tumor
Medicine
Humans
Papillomaviridae
Cyclin-Dependent Kinase Inhibitor p16
Neoplasm Staging
Cervical cancer
business.industry
Papillomavirus Infections
General Medicine
Middle Aged
medicine.disease
Uterine Cervical Dysplasia
female genital diseases and pregnancy complications
030104 developmental biology
chemistry
High risk hpv
Genetic marker
030220 oncology & carcinogenesis
immunohistochemistry
histopathology
Immunohistochemistry
Histopathology
Female
Risk categorization
papilloma viruses
Tumor Suppressor Protein p53
business
Precancerous Conditions
Research Article
Follow-Up Studies
Zdroj: Asian Pacific Journal of Cancer Prevention : APJCP
ISSN: 2476-762X
1513-7368
Popis: 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 0.05). 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.
Databáze: OpenAIRE
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