Evidence map›Paper›PMID 10343611›Full record

ArticleJournal of clinical pathology1999

Differential expression of keratins 10, 17, and 19 in normal cervical epithelium, cervical intraepithelial neoplasia, and cervical carcinoma.

P Maddox, P Sasieni, A Szarewski, M Anderson, A Hanby

Open access · bronzeAbstract read
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Article in Journal of clinical pathology, 1999. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
0.7field-weighted citation impact, top 33% 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

16 citing papers in PubMed, 43 citations in OpenAlex.

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  6. Adenoid squamous cell carcinoma of the oral cavity.International journal of clinical and experimental pathology · 2012
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

P MaddoxDepartment of Mathematics, Statistics and Epidemiology, Imperial Cancer Research Fund, Lincolns Inn Fields, London, UK.
P Sasieni
A Szarewski
M Anderson
A Hanby
The Honourable Society of Lincoln's Inn · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo examine the value of immunohistochemistry in defining a keratin profile to aid cervical histopathological diagnosis.

methodsImmunohistochemical localisation of keratins 17, 10, and 19 was studied in 268 cervical biopsies from 216 women including normal epithelia (with and without human papilloma virus), low and high grade cervical intraepithelial neoplasia, and invasive carcinoma. The percentage of positive immunostaining was scored using a Kontron MOP videoplan image analyser.

resultsAll major categories of cervical epithelia expressed these keratins to varying degrees. The median percentage of immunostaining for keratin 10 was 40% in normal tissue compared with just 1% in invasive carcinoma (p < 0.0001). The medians for keratin 17 were 0% in the normal group and 80% in carcinomas (p < 0.0001). By contrast, there was no significant difference in staining for keratin 19. Using a combination of the keratin 10 and 17 percentages, it was possible to separate the carcinomas from the benign conditions with a sensitivity of 100% and a specificity of 93%. Further analyses within the groups revealed more extensive staining for keratins 10 and 19 in reserve cell hyperplasia, immature squamous metaplasia, and congenital transformation zone.

conclusionsThe morphological variety within the cervix is reflected, in part, by distinct keratin patterns. There are striking differences in the patterns of keratins 10 and 17 between infiltrating squamous carcinoma and normal cervical epithelia.

Indexed as

Biomarkers, TumorCervix UteriDiagnosis, DifferentialEpitheliumFemaleHumansKeratinsNeoplasm InvasivenessNeoplasm ProteinsPrecancerous ConditionsRetrospective StudiesUterine Cervical DysplasiaUterine Cervical NeoplasmsBiomarkers, TumorKeratinsNeoplasm Proteins

Identifiers

PMID10343611
PMCPMC501006
OpenAlexW2046139811

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Registered trials

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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.