Evidence map›Paper›PMID 26379150›Full record

ArticleThe American journal of surgical pathology2015

Investigating Diagnostic Problems of CIN1 and CIN2 Associated With High-risk HPV by Combining the Novel Molecular Biomarker PanHPVE4 With P16INK4a.

Romy van Baars, Heather Griffin, Zhonglin Wu, Yasmina Jay Soneji, Miekel van de Sandt, Rupali Arora, Jacolien van der Marel, Bram Ter Harmsel, Robert Jach, Krzysztof Okon and 4 more

Registry-linked trialOpen access · greenAbstract readEvaluation StudyMulticenter Study
In one paragraph

Article in The American journal of surgical pathology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05049252 (Performance of HPV E4 and p16INK4a Biomarkers in Predicting Risk of Regression Among Women Diagnosed With Cervical Intraepithelial Neoplasia Grade 2), which is not on this map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.6field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05049252 unknown statusnot on this mapstarted 2020, after this paper: background citation

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

TypeobservationalSponsorUniversity of AarhusRan2020 to 2023Enrolled500ConditionsCervical Intraepithelial Neoplasia Grade 2 (CIN2)
3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 40 citations in OpenAlex.

  1. p16International journal of cancer · 2025
    Article
  2. Article
  3. FAM19A4/miR124-2 Methylation Testing and Human Papillomavirus (HPV) 16/18 Genotyping in HPV-Positive Women Under the Age of 30 Years.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023
    Article
  4. Article
  5. Assessing Inter-Annotator Agreement for Medical Image Segmentation.IEEE access : practical innovations, open solutions · 2023
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Characterization of cervical biopsies of women with HIV and HPV co-infection using p16Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2020
    Article
  11. Article
  12. Article
  13. Grading immunohistochemical markers p16The British journal of dermatology · 2020
    Article
  14. Article
  15. Article
  16. Review
  17. HPV E4 expression and DNA hypermethylation of CADM1, MAL, and miR124-2 genes in cervical cancer and precursor lesions.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2018
    Article
  18. Risk stratification of cervical disease using detection of human papillomavirus (HPV) E4 protein and cellular MCM protein in clinical liquid based cytology samples.Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology · 2018
    Article
  19. Three-tiered score for Ki-67 and p16Journal of clinical pathology · 2018
    Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 6 institutions in 4 countries.

Romy van Baars *DDL Diagnostic Laboratory, Rijswijk, The Netherlands.
Heather Griffin *Department of Pathology, University of Cambridge, Cambridge, United Kingdom.
Zhonglin WuNational Institute for Medical Research, London, United Kingdom.
Yasmina Jay SonejiNational Institute for Medical Research, London, United Kingdom.
Miekel van de SandtDDL Diagnostic Laboratory, Rijswijk, The Netherlands.
Rupali AroraDepartment of cellular Pathology, University College Hospital, London, United Kingdom.
Jacolien van der MarelDDL Diagnostic Laboratory, Rijswijk, The Netherlands.
Bram Ter HarmselRoosevelt Kliniek, Leiden, The Netherlands.
Robert JachJagiellonian University Medical College, Krakow, Poland.
Krzysztof OkonJagiellonian University Medical College, Krakow, Poland.
Hubert HurasJagiellonian University Medical College, Krakow, Poland.
David JenkinsDDL Diagnostic Laboratory, Rijswijk, The Netherlands.
Wim QuintDDL Diagnostic Laboratory, Rijswijk, The Netherlands.
John DoorbarDepartment of Pathology, University of Cambridge, Cambridge, United Kingdom.
DDL Diagnostic Laboratory · NLJagiellonian University · PLNational Institute for Medical Research · TZRoosevelt Institute for American Studies · NLUniversity College Hospital · GBUniversity of Cambridge · GB

Funding

Medical Research Council MC_PC_13050Medical Research Council MC_U117584278
6 · The paper itself

Abstract

Grading cervical intraepithelial neoplasia (CIN) determines clinical management of women after abnormal cytology with potential for overdiagnosis and overtreatment. We studied a novel biomarker of human papillomavirus (HPV) life-cycle completion (panHPVE4), in combination with the minichromosome maintenance (MCM) protein cell-cycle marker and the p16INK4a transformation marker, to improve CIN diagnosis and categorization. Scoring these biomarkers alongside CIN grading by 3 pathologists was performed on 114 cervical specimens with high-risk (HR) HPV. Interobserver agreement for histopathology was moderate (κ=0.43 for CIN1/negative, 0.54 for CIN2/≤CIN1, and 0.36 for CIN3). Agreement was good or excellent for biomarker scoring (E4: κ=0.896; 95% confidence interval [CI]: 0.763-0.969; p16INK4a : κ=0.798; 95% CI: 0.712-0.884; MCM: κ=0.894; 95% CI: NC (this quantity cannot be calculated). Biomarker expression was studied by immunofluorescence and immunohistochemistry and was correlated with 104 final CIN diagnoses after histologic review. All 25 histologically negative specimens were p16INK4a and panHPVE4 negative, although 9 were MCM-positive. There were variable extents of p16INK4a positivity in 11/11 CIN1 and extensive panHPVE4 staining in 9/11. Ten CIN2 lesions expressed panHPVE4 and p16INK4a, and 13 CIN2 expressed only p16INK4a. CIN3 showed extensive p16INK4a positivity with no/minimal panHPVE4 staining. PanHPVE4, unlike MCM, distinguished CIN1 from negative. PanHPVE4 with p16INK4a separated CIN2/3 showing only expression of p16INK4a, indicating transforming HR-HPV E7 expression, from CIN1/2 showing completion of HR-HPV life cycle by E4 expression and variable p16INK4a expression. PanHPVE4 and p16INK4a staining are complementary markers that could provide simple, reliable support for diagnosing CIN. Their value in distinguishing CIN1/2 that supports HR-HPV life-cycle completion (and which might ultimately regress) from purely transforming CIN2/3 needing treatment warrants further research.

Indexed as

AdultAgedAged, 80 and overBiomarkers, TumorCyclin-Dependent Kinase Inhibitor p16EuropeFemaleFluorescent Antibody TechniqueHuman Papillomavirus DNA TestsHumansImmunohistochemistryMiddle AgedNeoplasm GradingObserver VariationOncogene Proteins, ViralPapillomaviridaeBiomarkers, TumorCyclin-Dependent Kinase Inhibitor p16Oncogene Proteins, Viral

Identifiers

PMID26379150
PMCPMC4604656
OpenAlexW2303326370

What OpenQuestion holds

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.