Jigarkumar Suthar¹* and Rajeshkumar Patel²

¹Department of Biotechnology, Hemchandracharya North Gujarat University, Patan, Gujarat, India
²Advisor, Genetics Group of Gujarat Diagnostic centre, Mehsana, Gujarat, India

*Corresponding Author: Jigarkumar Suthar, Department of Biotechnology, Hemchandracharya North Gujarat University, Patan, Gujarat, India.

Received: February 15, 2022; Published: March 21, 2022

Abstract

Context: Cervical cancer is caused by infection of carcinogenic human papilloma virus commonly known as HPV and that is very common in the world. In India, females above the age of 15 years are at the risk for developing cervical cancer. Among world records, 1,22,844 new cases and 67,477 deaths occur only in India. The present study describes the identification of HPV type by PCR and DNA sequencing, the prevalence of specific types of HPV and risk of cervical cancer in Gujarati population.

Materials and Methods: Total 89 samples were collected from the females of different age groups between 21 to 60 years for the diagnosis of the PAP test as per the criteria and transported to the lab. DNA was extracted, quantity and quality were verified. The HPV L1 gene was amplified by using sets of primers; MY09/11 and GP5+/6+. The product amplified by using GP5+/6+ was sequenced.

Results: Out of total 89 samples, two samples were found to be infected by HPV-16 and one each sample by HPV-51, 66 and 90. HPV-16, 51 and 66 are related to high risk of cervical cancer. However, HPV- 90 also carries risk of cervical cancer.

Conclusions: The present study describes the identification of specific types of HPV and risk of cervical cancer in the Indian Gujarati population. Early detection of high risk HPV types may prevent cervical cancer in the population.

Keywords: Cervical Cancer; Human Papillomavirus; PAP Test; Genital Warts; Nested PCR; L1 Gene; Genotype

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Citation

Citation: Jigarkumar Suthar and Rajeshkumar Patel. “Molecular Detection of HPVs and their Clinical Application in Diagnosis of Cervical Cancer" 6.2 (2022): 22-28.

Copyright

Copyright: © 2022 Jigarkumar Suthar and Rajeshkumar Patel. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.