High-risk HPV detection and concurrent HPV 16 and 18 typing with Abbott RealTime High Risk HPV test

被引:24
|
作者
Tang, Ning [1 ]
Huang, Shihai [1 ]
Erickson, Brian [1 ]
Mak, Wai-Bing [1 ]
Salituro, John [1 ]
Robinson, John [1 ]
Abravaya, Klara [1 ]
机构
[1] Abbott Mol Inc, Des Plaines, IL 60018 USA
关键词
Abbott RealTime High Risk HPV; HPV 16 and HPV 18 typing; high-grade cervical intraepithelial neoplasia; cervical cancer; CERVICAL INTRAEPITHELIAL NEOPLASIA; PAPILLOMAVIRUS TYPE-DISTRIBUTION; CANCER; WOMEN; METAANALYSIS; CYTOLOGY; LESIONS; DNA;
D O I
10.1016/S1386-6532(09)70005-8
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
Background: High-risk human papillomavirus (HPV) is the causative agent of cervical cancer. Among the high-risk types, infection with HPV 16 and 18 is associated with significantly higher risk of disease progression, and consequently these two types together cause approximately 70% of invasive cervical cancer worldwide. Identification of HPV 16 and HPV 18 can provide valuable information for risk stratification and clinical management of patients infected with these two types in both ASC-US triage and primary screening in women over age 30. It may also be valuable in the assessment of HPV vaccine efficacy. Abbott RealTime High Risk (HR) HPV is a recently developed test for the detection of 14 high-risk HPV types with the ability to concurrently identify HPV 16 and 18. Objective: To evaluate the clinical performance of Abbott RealTime HR HPV test. Study design: Abbott RealTime HR HPV was evaluated with 253 cervical specimens obtained from patients with CIN 3 and 340 specimens from patients with cervical cancer to determine clinical sensitivity of the test and the prevalence of types 16 and 18. Additionally, 757 cervical specimens obtained from women 30 years of age or older with normal cytology in a general screening population were tested to determine high-risk HPV positivity rate. Results: The Abbott RealTime HR HPV test detected 97.2% (246/253) of CIN 3 specimens and 98.5% (335/340) of cancer specimens. HPV 16 was the most prevalent type in both CIN 3 (72.8%) and cancer specimens (64.5%). HPV 16 and 18 combined were detected in 78.9% of high-risk HPV positive CIN 3 and 84.8% of high-risk HPV positive cancer specimens. In specimens from women 30 years of age or older with normal cytology in a screening population, the HPV positivity rate was 6.5% (49/757). Conclusions: Abbott RealTime HR HPV is a highly sensitive test for detection of high-grade cervical disease and cancer. The HPV 16 and HPV 18 typing capability of the test offers the advantage of stratifying patients at greater risk of progression and may thus aid in better patient care and management. (C) 2009 Elsevier B.V. All rights reserved.
引用
收藏
页码:S25 / S28
页数:4
相关论文
共 50 条
  • [1] Evaluation of the clinical performance of the Abbott RealTime High-Risk HPV for carcinogenic HPV detection
    Halfon, Philippe
    Benmoura, Dominique
    Agostini, Aubert
    Khiri, Hacene
    Penaranda, Guillaume
    Martineau, Agnes
    Blanc, Bernard
    [J]. JOURNAL OF CLINICAL VIROLOGY, 2010, 48 (04) : 246 - 250
  • [2] Comparison of Abbott RealTime High-Risk HPV and Hybrid Capture 2 Assays for Detection of HPV Infection
    Ko, Kiwoong
    Yu, Shinae
    Lee, Eun Hee
    Park, Hyosoon
    Woo, Hee-Yeon
    Kwon, Min-Jung
    [J]. ANNALS OF CLINICAL AND LABORATORY SCIENCE, 2016, 46 (05): : 522 - 528
  • [3] Comparison of Abbott RealTime High Risk HPV and Hybrid Capture 2 for the detection of high-risk HPV DNA in a referral population setting
    Venturoli, Simona
    Leo, Elisa
    Nocera, Martina
    Barbieri, Daniela
    Cricca, Monica
    Costa, Silvano
    Santini, Donatella
    Zerbini, Marialuisa
    [J]. JOURNAL OF CLINICAL VIROLOGY, 2012, 53 (02) : 121 - 124
  • [4] Principles and analytical performance of Abbott RealTime High Risk HPV test
    Huang, Shihai
    Tang, Ning
    Mak, Wai-Bing
    Erickson, Brian
    Salituro, John
    Li, Yuhong
    Krumpe, Evelyn
    Schneider, George
    Yu, Hong
    Robinson, John
    Abravaya, Klara
    [J]. JOURNAL OF CLINICAL VIROLOGY, 2009, 45 : S13 - S17
  • [5] Comparison of abbott realtime HPV assay and digene HC2 HPV DNA test for the detection of high-risk HPV DNA in a referral population setting
    Venturoli, S.
    Leo, E.
    Cricca, M.
    Nocera, M.
    Plazzi, M.
    Musiani, M.
    Zerbini, M.
    [J]. JOURNAL OF CLINICAL VIROLOGY, 2009, 46 : S49 - S49
  • [6] Performance of the Abbott RealTime High-Risk HPV Test in Women With Abnormal Cervical Cytology Smears
    Cuzick, Jack
    Ambroisine, Laurence
    Cadman, Louise
    Austin, Janet
    Ho, Linda
    Terry, George
    Liddle, Stuart
    Dina, Roberto
    McCarthy, Julie
    Buckley, Hilary
    Bergeron, Christine
    Soutter, W. P.
    Lyons, Deirdre
    Szarewski, Anne
    [J]. JOURNAL OF MEDICAL VIROLOGY, 2010, 82 (07) : 1186 - 1191
  • [7] Comparison of the Abbott RealTime High Risk HPV test and the Roche cobas 4800 HPV test using urine samples
    Lim, Myong Cheol
    Lee, Do-Hoon
    Hwang, Sang-Hyun
    Hwang, Na Rae
    Lee, Bomyee
    Shin, Hye Young
    Jun, Jae Kwan
    Yoo, Chong Woo
    Lee, Dong Ock
    Seo, Sang-Soo
    Park, Sang-Yoon
    Joo, Jungnam
    [J]. JOURNAL OF VIROLOGICAL METHODS, 2017, 243 : 74 - 79
  • [8] Comparison of the Abbott RealTime High Risk HPV with Genomica HPV Clinical Array for the detection of human papillomavirus DNA
    Sias, Catia
    Garbuglia, Anna Rosa
    Piselli, Pierluca
    Cimaglia, Claudia
    Lapa, Daniele
    Del Nonno, Franca
    Baiocchini, Andrea
    Capobianchi, Maria Rosaria
    [J]. APMIS, 2013, 121 (11) : 1054 - 1063
  • [9] Performance Of Abbott Cervi Collect Specimen Collection Kit For Detection Of HPV Using Abbott RealTime High Risk HPV Assay
    Huang, S.
    Erickson, B.
    Salituro, J.
    Engel, H.
    Gurok, U.
    Neuscheler, P.
    Mak, W.
    Abravaya, K.
    [J]. JOURNAL OF MOLECULAR DIAGNOSTICS, 2010, 12 (06): : 916 - 916
  • [10] Rapid detection of high-risk HPV16 and HPV18 based on microchip electrophoresis
    Zhaoxuan Fan
    Xiao Feng
    Weifei Zhang
    Xueji Zhang
    Jin-Ming Lin
    [J]. Journal of Pharmaceutical Analysis, 2020, 10 (04) : 329 - 333