Performance of HPV E4 and p16INK4a Biomarkers in Predicting Risk of Regression Among Women Diagnosed With Cervical Intraepithelial Neoplasia Grade 2 (CIN2): a Historical Cohort Study
Performance of HPV E4 and p16INK4a Biomarkers in Predicting Risk of Regression Among Women Diagnosed With Cervical Intraepithelial Neoplasia Grade 2 (CIN2): a Historical Cohort Study
Introduction Cervical intraepithelial neoplasia CIN1 (low grade), CIN2 (moderate grade), CIN3 (severe grade) defines cervical precancer lesions derived from the squamous epithelial cell line. CIN2, represents a heterogenic phenotype expression of both CIN1-like and CIN3-like evolving lesions with different risk of progression. The CIN2 diagnosis has low reproducibility, and current diagnostic tools do not allow for risk-stratification of CIN2.
Risk-profiling is important, to enable targeted management of women with CIN2 at first incidence (surgery or active surveillance) and to avoid risk of over- or undertreatment.
Preliminary studies show, that the novel tissue biomarker HPV E4 has potential to discriminate CIN1-like (HPV E4 positive) from CIN3-like (HPV E4 negative) evolving CIN2 lesions, suggesting that the biomarker could be vauable for risk-stratification of CIN2.
Aim To examine the potential of the HPV E4 biomarker in predicting risk of CIN2 evolvement.
Materials and Methods Design: Historical cohort study. Study population: N=500 women, 23-40 years of age with a record of incidental CIN2 diagnosis between [2000-2010] in the Danish Pathology Data Bank at Aarhus University Hospital, Region of Central Denmark. All women are defined as managed by active surveillance (i.e. no surgical treatment within 4 months after first CIN2 diagnosis).
Exposure: HPV E4 positive vs HPV E4 negative intraepithelial reaction. Outcome: Regression (normal, CIN1) vs non-regression (CIN2, CIN3, cervical cancer).
Statistical model: Linear regression model (RR (95%CI)).
Perspectives: HPV E4 may act as significant predictor for CIN2 evolvement, and reliable marker for risk-assessment of CIN2. This will be valuable in the clinical management of women with CIN2, enabling to discriminate women, who would most likely regress and could be manged by active surveillance vs women in risk of progression or persistence, who could benefit of immediate surgical treatment.
Introduction Persistent infection with high-risk human papillomavirus (hrHPV) is a causative source of cervical cancer [1]. Cervical intraepitehelial neoplasia CIN1 (low), CIN2 (moderate), CIN3 (severe) defines cervical precancer lesions evolved from the squamous epithelium cell line [3]. CIN1 and CIN2 lesions are associated with lower progression rates for cervical cancer than CIN3 [4]. CIN2 poses a major challenge clinically, due to the heterogenic expression of both CIN1-like and CIN3-like evolving lesions, which current diagnostic tools do not enable to stratify in risk of progression [5]. Risk-stratification of CIN2 is highly important for clinical management of CIN2 and to avoid risk of over- or undertreatment. Historically, CIN2 has been the threshold for surgical mangement (cone excisional biopsy). However, since regressions rates of CIN2 lesions are high, and cone excisional biopy is associated with reproductive harm, such as preterm birth, many countries such as Denmark has adopted a more conservative approach in the management of young women with CIN2 (i.e. active surveillance: colposcopy, cervical punch biopsies for every 4-6 monhts up to two years follow-up without any surgical procedure) [6,7]. In the Central Region of Denmark, active surveillance has been recommended for young women since 1995.
The p16 protein plays an important role as inhibitor in cellular regulation and differentiation. p16 is a common surrogat marker for hrHPV E6/E7 oncogenic activity and cellular transformation associated with cancer evolvement. The intrapeithelial expression level of p16 is positively associated with grade of CIN lesion, and may be detected by the p16INK4a immuno-histo-chemical biomarker [7, 8]. Although, the p16INK4a biomarker has added value to diagnostics and grading of cervical precancer lesions, the biomarker is not robust for risk-stratification of CIN2 [9].
Recent studies show, that the novel biomarker HPV E4 may potentially distinguish CIN2 in CIN1-like vs CIN3-like resembling lesions. Suggesting that HPV E4 could be a potential biomarker for risk-stratification of CIN2 [10-12].
However, knowledge is lacking on HPV E4 as predictor for CIN2 evolvement.
Aim To explore whether the HPV E4 biomarker can predict risk of CIN2 evolvement.
Materials and methods Study design: Historical cohort study. Study population: N=500 women 23-40 years of age, with a record of CIN2 in the Danish Patological Data Bank [2000-2010], at the Department of Pathology, Aarhus University Hospital. All women are defined as managed by active surveillance (i.e. colposcopy and cervical punch biopsies for every 4-6 months up to two years follow-up).
Selection: Eligible women with a record of incidental CIN2 diagnosis will be identified in the Danish Pathology Databank among all women with a record of CIN2 diagnosis during 2000-2010.
Laboratory analysis: Formalin-fixed paraffin-embedded (FFPE) tissue samples will be compiled from the archives, at the Department of Pathology, Aarhus University Hospital.
FFPE blocks will be sectioned for morphology analysis (hematoxylin & eosin (H&E) and for immuno-histo-chemistry analysis (IHC). We will apply the sandwich technique for the p16INK4a and HPV E4 IHC analysis, using the CINtec® Histology Kit (Roche) and the SILgrade E4 assay (LBP). Subsequently, the stained slides will be evaluated by an expert panel within gynecological pathology (2 from Denmark, 1 from UK and 1 from the US respectively).
Exposure will be defined as expressing a HPV E4 positive (CIN1-like) vs HPV E4 negative (CIN3-like) intraepithelial reaction.
Statistical analysis: Linear regression model, effect measure; relative risk (RR) (95% CI).
Power calculations: At a sample size of N=500 women, a statistical power of 89% is expected, at the significance level 0.05 (alpha). Among women who progress or persist during surveillance, a prevalence of 50% CIN2 HPV E4 positive lesions and 70% p16INK4a positive CIN2 lesions is expected.
Settings and collaborators The project will be carried out at the Department of Gynecology and Obstetrics at Gødstrup Hospital in close collaboration with the Department of Pathology, Aarhus University Hospital including DDL Diagnostic Laboratory; University of Virginia; University of Cambridge and University of Maryland School of Medicine.
Main research group in Denmark
Ethical statement The study is appoved by the Regional Committee on Health Research Ethics, Central Region of Denmark and registered at the Legal Department, Faculty of Health, Aarhus University as required by Danish law.
Perspectives Biomarkers reliable for risk-stratification of CIN2 lesions is important for clinical counseling of women, this will enable a more specific and personalized follow-up strategy to avoid risk of over- or undertreatment. As other countries are moving toward a more conservative approach (active surveillance) with respect to management of young women with CIN2 our results may be valauble in an international perspective as well.
Inclusion Criteria:
Exclusion Criteria: