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PWE-186 Use of dna ploidy in routine pathology practice as a biomarker for barrett’s oesophagus with high risk clinical features

2015· article· en· W2418606432 on OpenAlexaff
Jason Dunn, Fuju Chang, Marco Novelli, Edward Odell

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicEsophageal Cancer Research and Treatment
Canadian institutionsSt. Thomas Hospital
Fundersnot available
KeywordsMedicineBiopsyDysplasiaAneuploidyBiomarkerAdenocarcinomaInternal medicineGastroenterologyPloidyPathologyProspective cohort studyOncologyCancerBiologyChromosomeGeneticsGene

Abstract

fetched live from OpenAlex

Introduction Barrett’s oesophagus (BE) is considered to be associated with an increased risk of esophageal adenocarcinoma (OAC), but the risk of progression is low and unpredictable. Previous studies have demonstrated a higher risk of progression in BE patients with: low grade dysplasia; segment length >8 cm; a family history of OAC and residual BE post treatment for OAC (surgery, chemoradiotherapy or endoscopic therapy). We and others have previously demonstrated that DNA ploidy abnormalities can act as prognostic biomarkers for the risk of progression to OAC. The aim of this study was to assess DNA ploidy in high risk groups using routine biopsy samples taken at surveillance endoscopy in a clinical setting. Method Prospective study of patients undergoing routine BE surveillance at three centres. All biopsy samples were dual reported by two expert pathologists. DNA ploidy analysis was undertaken using Image cytometry (ICM) on Formalin Fixed Paraffin Embedded tissue, as previously described.1All samples were analysed to the same protocol. Results A total of 51 patients underwent DNA ploidy analysis over a 2 year period. Mean age was 63 years (range 22–86 years), 82% male. Results are shown in Table 1. There was high prevalence of DNA ploidy abnormalities (aneuploidy) in the LGD group at 33%. DNA ploidy abnormalities were not identified in other groups on this study. Conclusion This study demonstrates the presence of aneuploidy is significantly higher in low grade dysplasia than other high risk clinical groups, with a third of patients displaying genomic instability. DNA ploidy ICM may be useful in routine pathology practice to risk stratify patients with LGD. The role of DNA ploidy in non dysplastic BE with high clinical risk cannot be concluded from this small cohort. Disclosure of interest None Declared. References Dunn JM, Mackenzie GD, Oukrif D, et al.Image cytometry accurately detects DNA ploidy abnormalities and predicts late relapse to high grade dysplasia and adenocarcinoma in Barrett–s oesophagus following photodynamic therapy. Br J Cancer2010;102:1608–1617

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.092
GPT teacher head0.414
Teacher spread0.322 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2015
Admission routes1
Has abstractyes

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