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Performance of Aptima and Cobas HPV testing platforms in detecting high-grade cervical dysplasia and cancer.

Ge Y,Christensen P,Luna E,Armylagos D,Schwartz MR,Mody DR

Abstract

Human papillomavirus (HPV) tests and genotyping have been used in clinical risk assessment. The purpose of this study was to analyze the performance of 2 common HPV testing platforms in detecting high-grade cervical lesions (high-grade squamous intraepithelial lesion [HSIL] or worse [≥HSIL]).
Between January 1 and December 31, 2015, 2041 Papanicolaou (Pap) tests with biopsy confirmation were analyzed along with HPV tests performed on Cobas or Aptima platforms. A biopsy diagnosis of grade 2 cervical intraepithelial neoplasia was confirmed with p16/Ki-67 immunohistochemistry.
In total, 1866 and 175 Pap cases were tested on Cobas and Aptima platforms, respectively. Both platforms were highly sensitive (97% for both) for biopsy-confirmed ≥HSIL. Cobas HPV testing had higher positive rates for the diagnosis of benign lesions (84% vs 51%) and low-grade squamous intraepithelial lesions (89% vs 63%) on biopsy compared with Aptima. Aptima testing had significantly higher specificity for ≥HSIL than Cobas (41% vs 13%; P < .0001). Overall, performance of the Aptima platform was superior to that of the Cobas platform in detecting biopsy-confirmed ≥HSIL, resulting from its significantly higher positive predictive value (25% vs 16%; P < .03) and overall accuracy (50% vs 26%; P < .0001).
Although both the Cobas and Aptima platforms offer highly sensitive tests for high-grade cervical lesions, Aptima HPV testing demonstrated significantly higher specificity and positive predictive value than Cobas testing for biopsy-confirmed ≥HSIL. The considerable difference may be related to the significant increase in E6/E7 expression after HPV DNA integration. The significantly higher specificity and overall accuracy of Aptima testing for ≥HSIL, resulting in the identification of high-risk populations that require immediate treatment and close follow-up, may prove useful in clinical risk stratification. Cancer Cytopathol 2017;125:652-7. © 2017 American Cancer Society.

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