Dataset Information

Grading immunohistochemical markers p16^INK4a and HPV E4 identifies productive and transforming lesions caused by low- and high-risk HPV within high-grade anal squamous intraepithelial lesions.

ABSTRACT:

Objectives

Because current guidelines recognise high-grade anal squamous intraepithelial lesions (HSILs) and low-grade SILs (LSILs), and recommend treatment of all HSILs although not all progress to cancer, this study aims to distinguish transforming and productive HSILs by grading immunohistochemical (IHC) biomarkers p16^INK ^4a (p16) and E4 in low-risk human papillomavirus (lrHPV) and high-risk (hr)HPV-associated SILs as a potential basis for more selective treatment.

Methods

Immunostaining for p16 and HPV E4 was performed and graded in 183 biopsies from 108 HIV-positive men who have sex with men. The causative HPV genotype of the worst lesion was identified using the HPV SPF10-PCR-DEIA-LiPA25 version 1 system, with laser capture microdissection for multiple infections. The worst lesions were scored for p16 (0-4) to identify activity of the hrHPV E7 gene, and panHPV E4 (0-2) to mark HPV production and life cycle completion.

Results

There were 37 normal biopsies, 60 LSILs and 86 HSILs, with 85% of LSILs caused by lrHPV and 93% of HSILs by hrHPV. No normal biopsy showed E4, but 43% of LSILs and 37% of HSILs were E4 positive. No differences in E4 positivity rates were found between lrHPV and hrHPV lesions. Most of the lesions caused by lrHPV (90%) showed very extensive patchy p16 staining; p16 grade in HSILs was variable, with frequency of productive HPV infection dropping with increasing p16 grade.

Conclusions

Combined p16/E4 IHC identifies productive and nonproductive HSILs associated with hrHPV within the group of HSILs defined by the Lower Anogenital Squamous Terminology recommendations. This opens the possibility of investigating selective treatment of advanced transforming HSILs caused by hrHPV, and a 'wait and see' policy for productive HSILs. What's already known about this topic? For preventing anal cancer in high-risk populations, all patients with high-grade squamous intraepithelial lesions (HSILs) are treated, even though this group of lesions is heterogeneous, the histology is variable and regression is frequent. What does this study add? By adding human papillomavirus (HPV) E4 immunohistochemistry to p16 ^INK4a (p16), and grading expression of both markers, different biomarker expression patterns that reflect the heterogeneity of HSILs can be identified. Moreover, p16/E4 staining can separate high-risk HPV-associated HSILs into productive and more advanced transforming lesions, providing a potential basis for selective treatment.

SUBMITTER: Leeman A

PROVIDER: S-EPMC7187351 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature

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Publications

Grading immunohistochemical markers p16<sup>INK4a</sup> and HPV E4 identifies productive and transforming lesions caused by low- and high-risk HPV within high-grade anal squamous intraepithelial lesions.

Leeman A A Jenkins D D Marra E E van Zummeren M M Pirog E C EC van de Sandt M M MM van Eeden A A Schim van der Loeff M F MF Doorbar J J de Vries H J C HJC van Kemenade F J FJ Meijer C J L M CJLM Quint W G V WGV

The British journal of dermatology 20191002 4

<h4>Objectives</h4>Because current guidelines recognise high-grade anal squamous intraepithelial lesions (HSILs) and low-grade SILs (LSILs), and recommend treatment of all HSILs although not all progress to cancer, this study aims to distinguish transforming and productive HSILs by grading immunohistochemical (IHC) biomarkers p16<sup>INK</sup> <sup>4a</sup> (p16) and E4 in low-risk human papillomavirus (lrHPV) and high-risk (hr)HPV-associated SILs as a potential basis for more selective treatmen ...[more]

PMID: 31302935

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Project description:IntroductionCervical intraepithelial neoplasia grade 2 (CIN2) represents a spectrum of lesions with variable progression and regression. Pathological diagnosis of CIN2 is subjective and poorly reproducible. Accurate diagnosis and identification of different patterns of CIN2 related to outcome are essential to reduce the risks of overtreatment or undertreatment. It is important to explore novel methods for risk stratification of CIN2 to enable targeted treatment of women at high risk of progression or persistent disease and follow-up of women at low risk. The combination of the novel biomarker human papillomavirus (HPV) E4 with p16INK4a targets steps in the transition from a productive oncogenic HPV infection (CIN1) to a transformed lesion (CIN3) within CIN2. Previous cross-sectional studies suggest that HPV E4 combined with p16INK4a may be valuable for risk assessment of CIN2. However, data on HPV E4/p16INK4a as a predictor for CIN2 regression is lacking.Methods and analysisWe will conduct a historical cohort study including 500 women aged 23-40 years with a first CIN2 diagnosis in Aarhus, Denmark during 2000-2010. Women will be eligible if they have undergone active surveillance and have no previous record of hysterectomy, cone biopsy, and CIN2 or worse. Women will be randomly selected through the Danish Pathology Databank. Tissue samples from women included will be sectioned for p16INK4a and HPV E4 immunohistochemical staining in addition to conventional hematoxylin and eosin (H&E) staining. A positive result will be defined as HPV E4 positive. Through the Danish Pathology Databank, we will collect results on all subsequent cervical biopsies. Regression will be used as the primary outcome.Ethics and disseminationThe study has been approved by the Ethical Committee in Central Denmark Region (1-10-72-60-20) and registered at the Faculty of Health, Aarhus University. Results will be published in a peer-reviewed journal and presented at scientific meetings.Trial registration numberNCT05049252.

Project description:BackgroundP16INK4A is a surrogate signature compensating for the specificity and/or sensitivity deficiencies of the human papillomavirus (HPV) DNA and Papanicolaou smear (Pap) co-test for detecting high-grade cervical squamous intraepithelial lesions or worse (HSIL+). However, traditional p16INK4A immunostaining is labour intensive and skill demanding, and subjective biases cannot be avoided. Herein, we created a high-throughput, quantitative diagnostic device, p16INK4A flow cytometry (FCM) and assessed its performances in cervical cancer screening and prevention.MethodsP16INK4A FCM was built upon a novel antibody clone and a series of positive and negative (p16INK4A -knockout) standards. Since 2018, 24 100-women (HPV-positive/-negative, Pap-normal/-abnormal) have been enrolled nationwide for two-tier validation work. In cross-sectional studies, age- and viral genotype-dependent expression of p16INK4A was investigated, and optimal diagnostic parameter cut-offs (using colposcopy and biopsy as a gold standard) were obtained. In cohort studies, the 2-year prognostic values of p16INK4A were investigated with other risk factors by multivariate regression analyses in three cervicopathological conditions: HPV-positive Pap-normal, Pap-abnormal biopsy-negative and biopsy-confirmed LSIL.ResultsP16INK4A FCM detected a minimal ratio of 0.01% positive cells. The p16INK4A -positive ratio was 13.9 ± 1.8% among HPV-negative NILM women and peaked at the ages of 40-49 years; after HPV infection, the ratio increased to 15.1 ± 1.6%, varying with the carcinogenesis of the viral genotype. Further increments were found in women with neoplastic lesions (HPV-negative: 17.7 ± 5.0-21.4 ± 7.2%; HPV-positive: 18.0 ± 5.2-20.0 ± 9.9%). Extremely low expression of p16INK4A was observed in women with HSILs. As the HPV-combined double-cut-off-ratio criterion was adopted, a Youden's index of 0.78 was obtained, which was significantly higher than that (0.72) of the HPV and Pap co-test. The p16INK4A -abnormal situation was an independent HSIL+ risk factor for 2-year outcomes in all three cervicopathological conditions investigated (hazard ratios: 4.3-7.2).ConclusionsFCM-based p16INK4A quantification offers a better choice for conveniently and precisely monitoring the occurrence of HSIL+ and directing risk-stratification-based interventions.

Project description:BackgroundSelf-sampling for human papillomavirus (HPV) testing is a feasible option to improve the cervical screening coverage. However, an ideal triage method for HPV-positive self-samples does not yet exist. The aim of this study was to explore the utility of HPV genotyping and p16INK4a immunostaining (p16) in triaging HPV-positive self-samples, focusing on HPV-positive, cytology-negative (HPCN) women.MethodsA total of 73,699 women were screened in a cervical screening project in China via SeqHPV assay on self-samples. HPV-positive women were called-back and collected cervical sample for p16 immunostaining and liquid-based cytology, those who met any result of HPV16/18+ or visual inspection with acetic acid (VIA) + or p16+ were referred for colposcopy, and HPCN women with adequate data on p16 and pathology were analyzed. A triage strategy was considered acceptable if the negative predictive value (NPV) for cervical intraepithelial neoplasia 3 or worse (CIN3+) was 98% or more, combined with an improvement of sensitivity and specificity for CIN2+/CIN3+ in reference to the comparator, being HPV16/18 + .ResultsA total of 2731 HPCN women aged 30-64 years were enrolled, 136 (5.0%) CIN2+ and 53 (1.9%) CIN3+ were detected. Five triage strategies met the criteria: p16+; HPV16/33+; 'HPV16+ or HPV33/58/31/35+&p16+'; 'HPV16/33+ or HPV58/31/35+&p16+'; HPV16/18/31/33/45/52/58 + & p16+. These strategies required less or similar colposcopy referrals, and less colposcopies to detected one case of CIN2+/CIN3+, achieving favorable false positive (negative) rates to the comparator. Among them, p16 staining detected 83.1% (79.2%) of underlying CIN2 + (CIN3+) in HPCN women. Moreover, three triage strategies were favorable in sensitivity and/or specificity to the 'HPV16/33+' strategy: p16+; 'HPV16+ or HPV33/58/31/35 + &p16+'; HPV16/18/31/33/45/52/58 + &p16 + .ConclusionsGenotyping for HPV16/33 could be utilized to optimize the management of HPCN women. Moreover, p16 immunostaining, either alone or combined with extended genotypes, is more effective than HPV genotypes alone in the triage of HPCN women.

Dataset Information

Grading immunohistochemical markers p16^INK4a and HPV E4 identifies productive and transforming lesions caused by low- and high-risk HPV within high-grade anal squamous intraepithelial lesions.

Objectives

Methods

Results

Conclusions

Publications

Grading immunohistochemical markers p16<sup>INK4a</sup> and HPV E4 identifies productive and transforming lesions caused by low- and high-risk HPV within high-grade anal squamous intraepithelial lesions.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets

Dataset Information

Grading immunohistochemical markers p16INK4a and HPV E4 identifies productive and transforming lesions caused by low- and high-risk HPV within high-grade anal squamous intraepithelial lesions.

Objectives

Methods

Results

Conclusions

Publications

Grading immunohistochemical markers p16<sup>INK4a</sup> and HPV E4 identifies productive and transforming lesions caused by low- and high-risk HPV within high-grade anal squamous intraepithelial lesions.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets

Grading immunohistochemical markers p16^INK4a and HPV E4 identifies productive and transforming lesions caused by low- and high-risk HPV within high-grade anal squamous intraepithelial lesions.