Multi-center evaluation of the Alinity m HR HPV assay with liquid-based cytology cervical specimens in the United States.

Incorporating molecular testing for human papillomavirus (HPV) into the screening of cervical specimens can improve risk stratification and, in turn, patient management. Infection with a high-risk (HR) HPV genotype is associated with greater risk for persistent infection, viral integration, and progression of cervical neoplasia. Current guidelines consider HPV 16 or HPV 18 clinically actionable with referral to colposcopy; however, 12 Other HR HPV genotypes have been associated with cervical cancer risk, suggesting a benefit of extended genotyping. In this multi-center study, we evaluated the performance of the Alinity m HR HPV assay, which reports HPV 16, 18, and 45 individually and aggregates of HPV 31/33/52/58 and HPV 35/39/51/56/59/66, compared with cobas HPV and Aptima HPV assays, across a variety of cytology result categories. A total of 746 de-identified residual cervical specimens, collected as part of routine cervical cancer screening programs, were tested using Alinity m HR HPV and at least one comparator assay. The overall percent agreement was ≥90.7% for results from the Alinity m HR HPV assay and cobas HPV assays and 90.5% for results from the Alinity m HR HPV and Aptima HPV assay. In patients with any abnormal cytology result, Alinity m identified 78 specimens with non-HPV 16/18 results, underscoring the benefit of detecting additional HR HPV genotypes to guide patient management more accurately. Among specimens with normal cytology, Alinity m detected 14 additional specimens with non-HPV 16/18 genotypes. Extended HR HPV testing can provide additional information to triage patients for appropriate testing and follow-up.IMPORTANCEExtended genotyping for high-risk human papillomavirus (HPV) types enhances diagnostic precision by identifying additional oncogenic HPV types beyond 16 and 18 therefore offering a more nuanced risk profile. This more comprehensive detection may aid in identifying persistent infections that are more likely to progress, thereby supporting future risk-based patient management strategies.