Evidence map›Paper›PMID 20461081›Full record

ArticleBritish journal of cancer2010

Image cytometry accurately detects DNA ploidy abnormalities and predicts late relapse to high-grade dysplasia and adenocarcinoma in Barrett's oesophagus following photodynamic therapy.

J M Dunn, G D Mackenzie, D Oukrif, C A Mosse, M R Banks, S Thorpe, P Sasieni, S G Bown, M R Novelli, P S Rabinovitch and 1 more

Open access · hybridAbstract readComparative StudyEvaluation StudyMulticenter Study
In one paragraph

Article in British journal of cancer, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 7% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 53 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. A biomarker panel predicts progression of Barrett's esophagus to esophageal adenocarcinoma.Diseases of the esophagus : official journal of the International Society for Diseases of the Esophagus · 2019
    Article
  6. Quantitation of spatial and temporal variability of biomarkers for Barrett's Esophagus.Diseases of the esophagus : official journal of the International Society for Diseases of the Esophagus · 2017
    Article
  7. Robust microbial cell segmentation by optical-phase thresholding with minimal processing requirements.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2017
    Article
  8. Genomics, Endoscopy, and Control of Gastroesophageal Cancers: A Perspective.Cellular and molecular gastroenterology and hepatology · 2017
    Review
  9. Surrogate Markers: Lessons from the Next Gen?Cancer prevention research (Philadelphia, Pa.) · 2016
    Article
  10. Review
  11. Article
  12. Whole slide image cytometry: a novel method to detect abnormal DNA content in Barrett's esophagus.Laboratory investigation; a journal of technical methods and pathology · 2015
    Article
  13. Review
  14. Article
  15. Article
  16. Biomarkers of Barrett's esophagus.World journal of gastrointestinal pathophysiology · 2014
    Review
  17. Review
  18. Article
  19. Article
  20. 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

11 authors at 4 institutions in 2 countries.

J M DunnDepartment of Surgery, National Medical Laser Centre, University College London, 67-73 Riding House Street, London W1W 7EJ, UK.
G D Mackenzie
D Oukrif
C A Mosse
M R Banks
S Thorpe
P Sasieni
S G Bown
M R Novelli
P S Rabinovitch
L B Lovat
University College London · GBCancer Research UK · GBUniversity College London Hospitals NHS Foundation Trust · GBUniversity of Washington · US

Funding

Cancer Research UK A9022
6 · The paper itself

Abstract

BACKGROUND AND

aimsDNA ploidy abnormalities (aneuploidy/tetraploidy) measured by flow cytometry (FC) are strong predictors of future cancer development in untreated Barrett's oesophagus, independent of histology grade. Image cytometric DNA analysis (ICDA) is an optical technique allowing visualisation of abnormal nuclei that may be undertaken on archival tissue. Our aim was to determine the accuracy of ICDA vs FC, and evaluate DNA ploidy as a prognostic biomarker after histologically successful treatment with photodynamic therapy (PDT).

methodsNuclei were extracted from 40 mum sections of paraffin-embedded biopsies and processed for ICDA at UCL and FC at UW using standardised protocols. Subsequently, DNA ploidy was evaluated by ICDA on a cohort of 30 patients clear of dysplasia 1 year after aminolaevulinic acid PDT for high-grade dysplasia (HGD). The results were correlated with long-term outcome.

resultsIn the comparative study, 93% (41 out of 44) of cases were classified identically. Errors occurred in the near-diploid region by ICDA and the tetraploid region by FC. In the cohort study, there were 13 cases of late relapse (7 cancer, 6 HGD) and 17 patients who remained free of dysplasia after a mean follow-up of 44 months. Aneuploidy post-PDT was highly predictive for recurrent HGD or cancer with a hazard ratio of 8.2 (1.8-37.8) (log-rank P=0.001).

conclusionsICDA is accurate for the detection of DNA ploidy abnormalities when compared with FC. After histologically successful PDT, patients with residual aneuploidy are significantly more likely to develop HGD or cancer than those who become diploid. DNA ploidy by ICDA is a valuable prognostic biomarker after ablative therapy.

Indexed as

Chromosome AberrationsImage CytometryPhotochemotherapyAdenocarcinomaAgedBarrett EsophagusCase-Control StudiesCytogenetic AnalysisDNA, NeoplasmEsophagusFemaleFlow CytometryHumansHyperplasiaMaleMiddle AgedDNA, Neoplasm

Identifiers

PMID20461081
PMCPMC2883155
OpenAlexW1982401247

What OpenQuestion holds

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LicenceCC BY
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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.