Analytical performance of the ScreenFire HPV RS Zebra BioDome assay on four different qPCR platforms
Jun Wang, Godwin Imade, Alani S. Akanmu, Jonah Musa, Rose Anorlu, Yinan Zheng, Brian Joyce, Isaac Adewole, Imran O. Morhason-Bello, Jerome Belinson, Mamoudou Maiga, Demirkan B. Gursel, Atiene S. Sagay, Folasade T. Ogunsola, Robert L. Murphy, Lifang Hou

TL;DR
This study evaluates a new HPV test format that works well on different machines, which could help improve cervical cancer screening in low-resource areas.
Contribution
The study demonstrates the compatibility and high agreement of a contamination-preventive HPV assay across multiple qPCR platforms.
Findings
The ScreenFire HPV Zebra BioDome assay showed high agreement rates (≥96.5%) across four qPCR platforms for hrHPV detection.
Genotype-specific agreement rates for HPV16 and risk stratification groups were all above 98.3%.
The assay's performance suggests it can be used on existing equipment without new investments in low-resource settings.
Abstract
Cervical cancer is one of the most frequently diagnosed cancers and a leading cause of cancer-related deaths in women in low- and middle-income countries (LMICs), accounting for nearly 85% of the global cervical cancer burden. High-risk human papillomavirus (hrHPV) infection is the main cause of cervical cancer. Easy-to-use, rapid, scalable, high-throughput, and cost-effective HPV tests are urgently needed for low-resource settings. Atila Biosystems’ clinically validated ScreenFire HPV Risk Stratification (RS) assay identifies 13 hrHPV in 4 groups based on their oncogenic risk (i.e., HPV16, HPV18/45, HPV31/33/35/52/58, and HPV51/59/39/56/68). While the current standard format is subject to laboratory contamination Atila has developed an innovative, contamination-preventive Zebra BioDome format. Recently we published the analytical performance of ScreenFire RS Zebra BioDome on the BioRad…
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Taxonomy
TopicsCervical Cancer and HPV Research · Molecular Biology Techniques and Applications · Radiomics and Machine Learning in Medical Imaging
