Evidence map›Paper›PMID 28509346›Full record

ArticleInternational journal of cancer2017

Role of quantitative p16

Nataša Vasiljević, Paul D Carter, Caroline Reuter, Rhian Warman, Adam R Brentnall, James R Carton, Jack Cuzick, Attila T Lorincz

Open access · hybridAbstract read
In one paragraph

Article in International journal of cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.2field-weighted citation impact, top 21% 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
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

8 authors at 3 institutions in 1 country.

Nataša VasiljevićCentre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Barts and The London School of Medicine, Queen Mary University of London, Charterhouse Square, London, United Kingdom.
Paul D CarterCentre for Molecular Pathology, Royal Marsden Hospital, Sutton, United Kingdom.
Caroline ReuterCentre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Barts and The London School of Medicine, Queen Mary University of London, Charterhouse Square, London, United Kingdom.
Rhian WarmanCentre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Barts and The London School of Medicine, Queen Mary University of London, Charterhouse Square, London, United Kingdom.
Adam R BrentnallCentre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Barts and The London School of Medicine, Queen Mary University of London, Charterhouse Square, London, United Kingdom.
James R CartonDepartment of Histopathology, Charing Cross Hospital, London, United Kingdom.
Jack CuzickCentre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Barts and The London School of Medicine, Queen Mary University of London, Charterhouse Square, London, United Kingdom.
Attila T LorinczCentre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Barts and The London School of Medicine, Queen Mary University of London, Charterhouse Square, London, United Kingdom.ORCID 0000-0002-7097-6223
Queen Mary University of London · GBCharing Cross Hospital · GBRoyal Marsden NHS Foundation Trust · GB

Funding

Cancer Research UK 16891Cancer Research UK C569/A10404
6 · The paper itself

Abstract

Visual interpretation of cervical biopsies is subjective and variable, generally showing fair to moderate inter-reader agreement in distinguishing high from low grade cervical intraepithelial neoplasia (CIN). We investigated the performance of two objective p16 quantitative tests in comparison with visual assessment: (i) p16-mRNA assay and (ii) digital analysis of sections stained for p16 protein. The primary analysis considered 232 high-risk human papilloma virus positive (HPV+) samples from diagnostic cervical specimens. A p16 RT-qPCR (p16-mRNA assay) was run on mRNA extracted from formalin-fixed paraffin-embedded sections. Two p16 immunohistochemistry (IHC) readings, a visual read by a histopathologist (Visual IHC) and a digital read of a high-resolution scan (Digital IHC), were done on adjacent sections. The worst reviewed CIN grade (agreed by at least two histopathologists) from up to two biopsies and a loop excision was taken, with CIN2/3 as the primary endpoint. Visual IHC attained a specificity of 70% (95%CI 61-77) for 85% (95%CI 77-91%) sensitivity. The four-point Visual IHC staining area under the curve (AUC) was 0.77 (95%CI 0.71-0.82), compared with 0.71 (95%CI 0.64-0.77) for p16-mRNA and 0.67 (95%CI 0.60-0.74) for Digital IHC. Spearman rank-order correlations were: visual to p16-mRNA 0.41, visual to digital 0.49 and p16-mRNA to digital: 0.22. The addition of p16-mRNA assay to visual reading of p16 IHC improved the AUC from 0.77 to 0.84 (p = 0.0049). p16-mRNA testing may be complementary to visual IHC p16 staining for a more accurate diagnosis of CIN, or perhaps a substitute in locations with a lack of skilled pathologists.

Indexed as

Area Under CurveCyclin-Dependent Kinase Inhibitor p16Early Detection of CancerFemaleHumansMalePapillomavirus InfectionsRNA, MessengerSensitivity and SpecificityUterine Cervical DysplasiaCDKN2A protein, humanCyclin-Dependent Kinase Inhibitor p16RNA, Messengercervical intraepithelial neoplasiadigital H-scorehuman papilloma virusp16 Immunohistochemistryp16 RT-qPCR

Identifiers

PMID28509346
PMCPMC5949861
OpenAlexW2615663838

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.