@article{Jahan_Islam_Sultana_Pervin_Ashrafunnessa_Tabassum_2019, title={Distribution of high risk Human Papilloma Virus genotypes among cervical cancer patients in a tertiary level hospital in Bangladesh: High risk Human Papilloma Virus genotypes}, volume={45}, url={https://www.banglajol.info/index.php/BMRCB/article/view/42536}, DOI={10.3329/bmrcb.v45i2.42536}, abstractNote={<p><strong>Background: </strong>Cervical cancer is one of the most common types of cancer affecting women worldwide. Persistent HPV infection plays a major role in cervical cancer. The risk of cervical cancer has increased in parallel with the incidence of certain genotypes of human papilloma virus (HPV).</p> <p><strong>Methods: </strong>The study was aimed to detect the distribution of HPV genotypes among cervical cancer patients from a specialized hospital in Dhaka, Bangladesh. HPV DNA testing was done by polymerase chain reaction (PCR) using SPF-10 broad-spectrum primers followed by genotyping by reverse hybridization using the INNO-LIPA genotyping system at the Department of Virology, Bangabandhu Sheikh Mujib Medical University, Dhaka.</p> <p><strong>Results: </strong>HPV 16 was more prevalent (72.0%) in cervical cancer patients from Bangladesh followed by type 18 (6.0%) and 45 (2.0%). Genotype 16 and 18 alone and as co-infection were detected in 88.0% cases. Multiple HPV infection was found in 20% patients. Along with high risk (HR) HPV 16, 18 and 45 HR HPV 56, 39, 31 and 58 were also prevalent in multiple infections.</p> <p><strong>Conclusion: </strong>Thus the study concluded that HR HPV 16 and HPV 18 were more prevalent genotypes among cervical cancer patients in a specialised hospital in Bangladesh. Along with HR HPV 16 and HPV 18, HR HPV 45, 56, 39, 31 and 58 were also prevalent</p> <p>Bangladesh Med Res Counc Bull 2019; 45: 86-92</p>}, number={2}, journal={Bangladesh Medical Research Council Bulletin}, author={Jahan, Munira and Islam, Tania and Sultana, Sharmin and Pervin, Monira and Ashrafunnessa, Prof. and Tabassum, Shahina}, year={2019}, month={Aug.}, pages={86–92} }