Literature DB >> 23244480

HPV detection methods and genotyping techniques in screening for cervical cancer.

Maj Liv Eide1, Hervé Debaque.   

Abstract

Human papillomaviruses (HPV), double-stranded DNA viruses, are causing many mucocutaneous diseases, benign or malignant, ranging from common warts to malignancies involving the upper aerodigestive tract and the anogenital sphere. The diagnosis of HPV infection is based primarily on the viral genome detection by molecular biological methods, given the difficulty in routine cultivation of these viruses. The current trend in screening against cervical cancer is to improve the sensitivity of screening with new methods and to propose new algorithms for diagnostic and therapeutic decisions. The development of liquid-based cytology facilitates the cytologic diagnosis and molecular assays from the same sample. There are two main types of HPV detection methods used on uterine cervical samples: signal amplification methods (hybridization techniques in liquid phase) and target amplification methods (the techniques of gene amplification or Polymerase Chain Reaction [PCR]). Genotyping techniques are also developed: they are based on an amplification technique followed by hybridization with probe specific types. In addition to the detection, genotyping techniques allow quantitative detection of viral DNA of HPV genotype and so monitor changes in viral load over time. Another approach relies on the detection of messenger RNA (mRNA) of HPV proteins E6 and E7 oncogenes, which would appear to be a relevant marker to identify and monitor women at risk of progression to a precancerous lesion or cervical cancer.
Copyright © 2012. Published by Elsevier Masson SAS.

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Year:  2012        PMID: 23244480     DOI: 10.1016/j.annpat.2012.09.231

Source DB:  PubMed          Journal:  Ann Pathol        ISSN: 0242-6498            Impact factor:   0.407


  9 in total

1.  Assessing methylation status of PAX1 in cervical scrapings, as a novel diagnostic and predictive biomarker, was closely related to screen cervical cancer.

Authors:  Jun Xu; Ling Xu; Baohua Yang; Lifeng Wang; Xiao Lin; Hong Tu
Journal:  Int J Clin Exp Pathol       Date:  2015-02-01

2.  HPVMD-C: a disease-based mutation database of human papillomavirus in China.

Authors:  Zhenyu Yang; Wenjing Yi; Jin Tao; Xiaoqing Liu; Michael Q Zhang; Guiqian Chen; Qi Dai
Journal:  Database (Oxford)       Date:  2022-03-26       Impact factor: 4.462

3.  Human papillomavirus infection and cervical dysplasia in female sex workers in Northeast China: an observational study.

Authors:  Haiqing Jia; Xiaobin Wang; Zaiqiu Long; Liankun Li
Journal:  BMC Public Health       Date:  2015-07-23       Impact factor: 3.295

4.  Prediction of high-risk types of human papillomaviruses using statistical model of protein "sequence space".

Authors:  Cong Wang; Yabing Hai; Xiaoqing Liu; Nanfang Liu; Yuhua Yao; Pingan He; Qi Dai
Journal:  Comput Math Methods Med       Date:  2015-04-20       Impact factor: 2.238

5.  Self-collected versus clinician-collected sampling for sexually transmitted infections: a systematic review and meta-analysis protocol.

Authors:  Darlene Taylor; Carole Lunny; Tom Wong; Mark Gilbert; Neville Li; Richard Lester; Mel Krajden; Linda Hoang; Gina Ogilvie
Journal:  Syst Rev       Date:  2013-10-10

Review 6.  Prevalence of human papillomavirus detection in ovarian cancer: a meta-analysis.

Authors:  Soumia Cherif; Abdessamad Amine; Sarah Thies; Eliane T Taube; Elena Ioana Braicu; Jalid Sehouli; Andreas M Kaufmann
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2021-06-04       Impact factor: 3.267

7.  Genotype distribution characteristics of high-risk human papillomaviruses in women from Shanghai, China.

Authors:  Y Gu; M Yi; Y Xu; H Zhao; F Fu; Y Zhang
Journal:  Epidemiol Infect       Date:  2015-11-11       Impact factor: 4.434

8.  Prediction of High-Risk Types of Human Papillomaviruses Using Reduced Amino Acid Modes.

Authors:  Xinnan Xu; Rui Kong; Xiaoqing Liu; Pingan He; Qi Dai
Journal:  Comput Math Methods Med       Date:  2020-06-18       Impact factor: 2.238

9.  A Sample-In-Answer-Out Microfluidic System for the Molecular Diagnostics of 24 HPV Genotypes Using Palm-Sized Cartridge.

Authors:  Rui Wang; Jing Wu; Xiaodong He; Peng Zhou; Zuojun Shen
Journal:  Micromachines (Basel)       Date:  2021-03-04       Impact factor: 2.891

  9 in total

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