Literature DB >> 20950847

Quantification of intracellular HPV E6/E7 mRNA expression increases the specificity and positive predictive value of cervical cancer screening compared to HPV DNA.

Gerald Coquillard1, Bibiana Palao, Bruce K Patterson.   

Abstract

OBJECTIVES: Current methods for HPV screening rely on the detection of L1 DNA from high risk genotypes (HRHPV). These assays have very high negative predictive values (~99%), however, the specificity and positive predictive value of HPV DNA tests for pre-cancerous and cancerous lesions (CIN 2+) is less than 50%. The purpose of this study was to compare HPV DNA with intracellular HPV E6, E7 mRNA quantification in an effort to improve the performance of cervical cancer screening.
METHODS: Liquid-based cervical cytology specimens collected in either PreservCyt or SurePath were processed for routing cytology, HPV HRDNA detection by Hybrid Capture 2 and HPV E6, E7 mRNA quantification in cells using the same sample. We analyzed a total of 2049 samples including 73 with CIN 2, CIN 3, or squamous cell carcinoma by biopsy and 1694 samples from women with normal cytology.
RESULTS: The positive predictive value of HPV E6, E7 mRNA quantification in cells for CIN2+ was 78% which was greater than HPV DNA alone (43%). The specificity of HPV E6, E7 mRNA quantification was 96% based on normal cytology compared to 82% for HC2 while the specificity of HPV E6, E7 mRNA quantification based on CIN 2- histology was 85% compared to 35% for HC2.
CONCLUSIONS: With similar sensitivity and greater specificity/positive predictive value, HPV E6, E7 mRNA quantification in cells is an improvement over HPV DNA for cervical cancer screening.
Copyright © 2010. Published by Elsevier Inc.

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Year:  2010        PMID: 20950847     DOI: 10.1016/j.ygyno.2010.09.013

Source DB:  PubMed          Journal:  Gynecol Oncol        ISSN: 0090-8258            Impact factor:   5.482


  18 in total

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Journal:  Future Microbiol       Date:  2011-09       Impact factor: 3.165

2.  APOBEC3A possesses anticancer and antiviral effects by differential inhibition of HPV E6 and E7 expression on cervical cancer.

Authors:  Shan Chen; Xiao Li; Junpu Qin; Yuan Chen; Longyang Liu; Dongqing Zhang; Minyi Wang; Maocai Wang; Dikai Zhang
Journal:  Int J Clin Exp Med       Date:  2015-07-15

3.  Human papillomavirus (HPV) E6/E7 mRNA detection in cervical exfoliated cells: a potential triage for HPV-positive women.

Authors:  Ye-Li Yao; Qi-Fang Tian; Bei Cheng; Yi-Fan Cheng; Jing Ye; Wei-Guo Lu
Journal:  J Zhejiang Univ Sci B       Date:  2017 Mar.       Impact factor: 3.066

4.  Detection of Human Papillomavirus Infections at the Single-Cell Level.

Authors:  Zhenping Shen; Xia Liu; Janice Morihara; Ayaka Hulbert; Laura A Koutsky; Nancy B Kiviat; Long Fu Xi
Journal:  Intervirology       Date:  2016-01-28       Impact factor: 1.763

5.  mRNA and DNA detection of human papillomaviruses in women of all ages attending two colposcopy clinics.

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6.  Separate analysis of human papillomavirus E6 and E7 messenger RNAs to predict cervical neoplasia progression.

Authors:  Shuling Liu; Takeo Minaguchi; Bouchra Lachkar; Shuang Zhang; Chenyang Xu; Yuri Tenjimbayashi; Ayumi Shikama; Nobutaka Tasaka; Azusa Akiyama; Manabu Sakurai; Sari Nakao; Hiroyuki Ochi; Mamiko Onuki; Koji Matsumoto; Hiroyuki Yoshikawa; Toyomi Satoh
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7.  The Application of Classification and Regression Trees for the Triage of Women for Referral to Colposcopy and the Estimation of Risk for Cervical Intraepithelial Neoplasia: A Study Based on 1625 Cases with Incomplete Data from Molecular Tests.

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8.  Human leukocyte antigen class II DRB1*1302 allele protects against cervical cancer: At which step of multistage carcinogenesis?

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Journal:  Cancer Sci       Date:  2015-09-25       Impact factor: 6.716

9.  Estimate of the global burden of cervical adenocarcinoma and potential impact of prophylactic human papillomavirus vaccination.

Authors:  Jeanne M Pimenta; Claudia Galindo; David Jenkins; Sylvia M Taylor
Journal:  BMC Cancer       Date:  2013-11-21       Impact factor: 4.430

10.  An intelligent clinical decision support system for patient-specific predictions to improve cervical intraepithelial neoplasia detection.

Authors:  Panagiotis Bountris; Maria Haritou; Abraham Pouliakis; Niki Margari; Maria Kyrgiou; Aris Spathis; Asimakis Pappas; Ioannis Panayiotides; Evangelos A Paraskevaidis; Petros Karakitsos; Dimitrios-Dionyssios Koutsouris
Journal:  Biomed Res Int       Date:  2014-04-09       Impact factor: 3.411

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