Literature DB >> 35624470

Possible role of negative human papillomavirus E6/E7 mRNA as a predictor of regression of cervical intraepithelial neoplasia 2 lesions in hr-HPV positive women.

Maria Teresa Bruno1,2, Nazario Cassaro3,4, Salvatore Giovanni Vitale5, Arianna Guaita6, Sara Boemi5.   

Abstract

BACKGROUND: The aim of this study was to evaluate the regression rate of CIN2 p16 positive lesions in women over 25 years of age and identify possible predictors of regression.
METHODS: A total of 128 CIN2 p16 positive patients over 25 years old were considered. The women met the following inclusion criteria: HPV genotype 16, 18, 31, 33, 45 positive, HPV E6 / E7 mRNA test positive, without immune system pathologies, not pregnant and had completed at least two years of follow-up. At each follow-up examination patients were examined by colposcopy, HPV test, E6/E7mRNA, targeted biopsy and p16 protein detection. The final state after the two years of follow-up was classified as progression if the histology showed a CIN3, persistence if the lesion was a CIN2, regression if negative or LSIL. The predicted regression factors evaluated were: HPV E6/E7mRNA, protein p16.
RESULTS: Overall, we had 35.1% (45 cases) of progression to CIN3, 41.4% (53 cases) of persistence and 23.4% (30 cases) of regression. The regression rate was higher in women with negative mRNA 92.8% (26/28), OR 312 (34.12-1798.76) p = 0.0001, while women with p16 negative had a regression of 22.6% (7/31), OR 0.94 (95% CI 0.36-2.46), p was not significant. We found no significant difference in regression between p16 positive (23.7%) and p16 negative (22.6%) CIN2 p16 lesions. p16 had a VPN of 22.6 (CI 95% 0.159-0.310), indicating that a p16 negative lesion does not exclude a CIN2 + .
CONCLUSIONS: We had a regression rate of 23.4%, which was low if we consider that in the literature the regression rates vary from 55 to 63%. The discrepancy in the results may indeed be explained by the fact that all lesions in our study were hr-HPV positive and belonged to "older women" reflecting a more "high-risk" population. As regression factors we studied p16 and HPV E6/E7 mRNA. The results of our study show that HPV mRNA, if negative, appears to be able to identify CIN2 lesions with a higher probability of regression and underlines how a p16 negative is not an indicator of regression.
© 2022. The Author(s).

Entities:  

Keywords:  CIN2 regression; E6/E7 mRNA; HSIL; p16 HIC

Mesh:

Substances:

Year:  2022        PMID: 35624470      PMCID: PMC9145497          DOI: 10.1186/s12985-022-01822-1

Source DB:  PubMed          Journal:  Virol J        ISSN: 1743-422X            Impact factor:   5.913


  43 in total

1.  Human papillomavirus is a necessary cause of invasive cervical cancer worldwide.

Authors:  J M Walboomers; M V Jacobs; M M Manos; F X Bosch; J A Kummer; K V Shah; P J Snijders; J Peto; C J Meijer; N Muñoz
Journal:  J Pathol       Date:  1999-09       Impact factor: 7.996

2.  Usefulness of p16INK4a staining for managing histological high-grade squamous intraepithelial cervical lesions.

Authors:  Ester Miralpeix; Jordi Genovés; Josep Maria Solé-Sedeño; Gemma Mancebo; Belen Lloveras; Beatriz Bellosillo; Francesc Alameda; Ramon Carreras
Journal:  Mod Pathol       Date:  2016-10-14       Impact factor: 7.842

Review 3.  Papillomavirus infections--a major cause of human cancers.

Authors:  H zur Hausen
Journal:  Biochim Biophys Acta       Date:  1996-10-09

4.  Factors predicting the spontaneous regression of cervical high-grade squamous intraepithelial lesions (HSIL/CIN2).

Authors:  Jean-Luc Brun; Déborah Letoffet; Marion Marty; Romain Griffier; Xavier Ah-Kit; Isabelle Garrigue
Journal:  Arch Gynecol Obstet       Date:  2020-11-11       Impact factor: 2.344

Review 5.  The Lower Anogenital Squamous Terminology Standardization Project for HPV-Associated Lesions: background and consensus recommendations from the College of American Pathologists and the American Society for Colposcopy and Cervical Pathology.

Authors:  Teresa M Darragh; Terence J Colgan; J Thomas Cox; Debra S Heller; Michael R Henry; Ronald D Luff; Timothy McCalmont; Ritu Nayar; Joel M Palefsky; Mark H Stoler; Edward J Wilkinson; Richard J Zaino; David C Wilbur
Journal:  J Low Genit Tract Dis       Date:  2012-07       Impact factor: 1.925

6.  Outcome of expectant management of cervical intraepithelial neoplasia grade 2 in women followed for 12 months.

Authors:  Michelle G Discacciati; Carlos André S de Souza; Maria Gabriela d'Otavianno; Liliana A L Ângelo-Andrade; Maria Cristina A Westin; Silvia H Rabelo-Santos; Luiz C Zeferino
Journal:  Eur J Obstet Gynecol Reprod Biol       Date:  2010-12-28       Impact factor: 2.435

7.  Sensitivity, specificity, and clinical value of human papillomavirus (HPV) E6/E7 mRNA assay as a triage test for cervical cytology and HPV DNA test.

Authors:  Maria Benevolo; Amina Vocaturo; Donatella Caraceni; Deborah French; Sandra Rosini; Roberta Zappacosta; Irene Terrenato; Lucia Ciccocioppo; Antonio Frega; Paolo Giorgi Rossi
Journal:  J Clin Microbiol       Date:  2011-04-27       Impact factor: 5.948

8.  The Lower Anogenital Squamous Terminology Standardization project for HPV-associated lesions: background and consensus recommendations from the College of American Pathologists and the American Society for Colposcopy and Cervical Pathology.

Authors:  Teresa M Darragh; Terence J Colgan; J Thomas Cox; Debra S Heller; Michael R Henry; Ronald D Luff; Timothy McCalmont; Ritu Nayar; Joel M Palefsky; Mark H Stoler; Edward J Wilkinson; Richard J Zaino; David C Wilbur
Journal:  Int J Gynecol Pathol       Date:  2013-01       Impact factor: 2.762

9.  The Utility of p16INK4a and Ki-67 as a Conjunctive Tool in Uterine Cervical Lesions.

Authors:  Sangho Lee; Hyunchul Kim; Hyesun Kim; Chulhwan Kim; Insun Kim
Journal:  Korean J Pathol       Date:  2012-06-22
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  1 in total

1.  Spontaneous regression of cervical intraepithelial neoplasia 3 in women with a biopsy-cone interval of greater than 11 weeks.

Authors:  Maria Teresa Bruno; Nazario Cassaro; Gabriele Mazza; Arianna Guaita; Sara Boemi
Journal:  BMC Cancer       Date:  2022-10-18       Impact factor: 4.638

  1 in total

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