Literature DB >> 26890987

Serial measurement of type-specific human papillomavirus load enables classification of cervical intraepithelial neoplasia lesions according to occurring human papillomavirus-induced pathway.

Stefanie Verhelst1, Willy A J Poppe, Johannes J Bogers, Christophe E Depuydt.   

Abstract

This retrospective study examined whether human papillomavirus (HPV) type-specific viral load changes measured in two or three serial cervical smears are predictive for the natural evolution of HPV infections and correlate with histological grades of cervical intraepithelial neoplasia (CIN), allowing triage of HPV-positive women. A cervical histology database was used to select consecutive women with biopsy-proven CIN in 2012 who had at least two liquid-based cytology samples before the diagnosis of CIN. Before performing cytology, 18 different quantitative PCRs allowed HPV type-specific viral load measurement. Changes in HPV-specific load between measurements were assessed by linear regression, with calculation of coefficient of determination (R) and slope. All infections could be classified into one of five categories: (i) clonal progressing process (R≥0.85; positive slope), (ii) simultaneously occurring clonal progressive and transient infection, (iii) clonal regressing process (R≥0.85; negative slope), (iv) serial transient infection with latency [R<0.85; slopes (two points) between 0.0010 and -0.0010 HPV copies/cell/day], and (v) transient productive infection (R<0.85; slope: ±0.0099 HPV copies/cell/day). Three hundred and seven women with CIN were included; 124 had single-type infections and 183 had multiple HPV types. Only with three consecutive measurements could a clonal process be identified in all CIN3 cases. We could clearly demonstrate clonal regressing lesions with a persistent linear decrease in viral load (R≥0.85; -0.003 HPV copies/cell/day) in all CIN categories. Type-specific viral load increase/decrease in three consecutive measurements enabled classification of CIN lesions in clonal HPV-driven transformation (progression/regression) and nonclonal virion-productive (serial transient/transient) processes.

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Year:  2017        PMID: 26890987     DOI: 10.1097/CEJ.0000000000000241

Source DB:  PubMed          Journal:  Eur J Cancer Prev        ISSN: 0959-8278            Impact factor:   2.497


  5 in total

1.  Changes in DNA Level of Oncogenic Human Papillomaviruses Other Than Types 16 and 18 in Relation to Risk of Cervical Intraepithelial Neoplasia Grades 2 and 3.

Authors:  Long Fu Xi; Mark Schiffman; James P Hughes; Denise A Galloway; Laura A Koutsky; Nancy B Kiviat
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2019-05-17       Impact factor: 4.254

2.  Detection of HPV16 viral load in L2 gene as a related predictor of cervical cancer among women in Dhi-Qar province by qRT-PCR.

Authors:  Abduladheem Turki Jalil; Muhammad Usman Faryad Khan; Hayder Ali Muhammed; Ahmed Abdulhussein Kawen; Balsam Qubais Saeed; Aleksandr Karevskiy
Journal:  Mol Biol Rep       Date:  2022-10-10       Impact factor: 2.742

3.  Digital droplet PCR (ddPCR) for the detection and quantification of HPV 16, 18, 33 and 45 - a short report.

Authors:  Gabriella Lillsunde Larsson; Gisela Helenius
Journal:  Cell Oncol (Dordr)       Date:  2017-07-26       Impact factor: 6.730

Review 4.  Human Papillomavirus (HPV) virion induced cancer and subfertility, two sides of the same coin.

Authors:  C E Depuydt; J Beert; E Bosmans; G Salembier
Journal:  Facts Views Vis Obgyn       Date:  2016-12

5.  HPV viral load in self-collected vaginal fluid samples as predictor for presence of cervical intraepithelial neoplasia.

Authors:  Malin Berggrund; Inger Gustavsson; Riina Aarnio; Julia Hedlund-Lindberg; Karin Sanner; Ingrid Wikström; Stefan Enroth; Matts Olovsson; Ulf Gyllensten
Journal:  Virol J       Date:  2019-11-27       Impact factor: 4.099

  5 in total

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