Evidence map›Paper›PMID 16696090›Full record

ArticleClinical molecular pathology1996

Assessment of intra-tumoral karyotypic heterogeneity by interphase cytogenetics in paraffin wax sections.

S A Southern, C S Herrington

Open access · bronzeAbstract read
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Article in Clinical molecular pathology, 1996. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 36% 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

6 citing papers in PubMed, 13 citations in OpenAlex.

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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

2 authors at 2 institutions in 1 country.

S A SouthernUniversity of Liverpool, Department of Pathology, Duncan Building, Royal Liverpool University Hospital, Liverpool L69 3BX.
C S Herrington
Royal Liverpool University Hospital · GBUniversity of Liverpool · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim-To analyse the effect of sectioning on the assessment of karyotypic heterogeneity by interphase cytogenetics in paraffin wax embedded normal squamous epithelium and to apply the principles derived to invasive cervical carcinoma.Methods-Normal male (n = 5) and female (n = 5) squamous epithelia were hybridised with peri-centromeric repeat probes specific for chromosomes X (DXZ1) and 17 (D17Z1) individually and in combination to assess the effect of sectioning on mono-, di-, tri-, and tetrasomic populations. Section thickness, interobserver variation and variation between different areas of the epithelium were evaluated. Invasive squamous carcinomas of the cervix (n = 5) were then hybridised with the DXZ1 probe and intratumoral heterogeneity was assessed by comparison of signal distributions obtained from different areas.Results-The optimum section thickness for the assessment of normal epithelium was 6 mum. Variation in the expected signal number in the range 1-4 did not introduce artefactual heterogeneity at this section thickness. The sensitivity of this approach for the detection of minor subpopulations was calculated to be 13-16%, 17-18% and 10-11% for mono-, tri- and tetrasomic populations, respectively. Karyotypic heterogeneity was detected in two of the five tumours and, in one case where the populations where clustered morphologically, a minor population representing 18% was identified.Conclusions-Interphase cytogenetic analysis of sections from paraffin wax embedded material can be used for the detection of minor subpopulations in tumours. This approach will be of particular value in the assessment of the relation between human papillomavirus infection and tumour karyotype and in the analysis of intraepithelial neoplasia.

Identifiers

PMID16696090
PMCPMC408074
OpenAlexW1992263763

What OpenQuestion holds

Textmetadata
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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.