High-Risk HPV Detection in Paraffin-Embedded Tissue from Cervical Lesions

Background: Human papillomavirus (HPV), a leading cause of cervical cancer, is present in most cases of the disease and ranks as the fourth most common cancer in women globally. Among the HPV types, fourteen (HPV 16/18/31/33/35/39/45/51/52/56/58/59/66/68) are recognized as high-risk (hrHPV), each wi...

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Main Authors: Micaela Almeida, Vitor Caeiro, Diana Costa, Lara Silva, Cíntia Sousa, Paula Pestana, Sofia Campelos, João Vale, Ana Cristina Ramalhinho, José Fonseca-Moutinho, Luiza Breitenfeld
Format: Article
Language:English
Published: MDPI AG 2024-09-01
Series:Pharmaceuticals
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Online Access:https://www.mdpi.com/1424-8247/17/9/1201
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Summary:Background: Human papillomavirus (HPV), a leading cause of cervical cancer, is present in most cases of the disease and ranks as the fourth most common cancer in women globally. Among the HPV types, fourteen (HPV 16/18/31/33/35/39/45/51/52/56/58/59/66/68) are recognized as high-risk (hrHPV), each with varying levels of oncogenic potential. Detecting and genotyping these hrHPV types in cervical lesions is crucial, requiring the development of new diagnostic methods. Methods: This study focuses on a retrospective analysis conducted on 44 women from the Cova da Beira Local Health Unit. We used the Anyplex™ II hrHPV Detection kit for hrHPV genotyping from paraffin-embedded cervical tissue samples. Results: hrHPV types were identified in 38 out of the 44 women. Genotyping revealed HPV-16 (55.3%), HPV-18/39/56/58/59 (5.3%), HPV-31 (21.1%), HPV-35 (7.9%), HPV-51/66 (2.6%), and HPV-52 (10.5%). Conclusions: This study demonstrates that the Anyplex™ II hrHPV Detection kit, originally designed for cervical cancer screening, is also effective for hrHPV genotyping in histological analyses. This methodology offers a simpler and more cost-effective approach for cervical cancer risk stratification. Its implementation in clinical practice could enhance the detection of hrHPV in cervical lesions, thereby contributing to more precise diagnoses and potentially more informed treatment strategies.
ISSN:1424-8247