Evidence map›Paper›PMID 16880779›Full record

ArticleBritish journal of cancer2006

Factors influencing p53 expression in ovarian cancer as a biomarker of clinical outcome in multicentre studies.

P de Graeff, J Hall, A P G Crijns, G H de Bock, J Paul, K A Oien, K A ten Hoor, S de Jong, H Hollema, J M S Bartlett and 2 more

Abstract readMulticenter Study
In one paragraph

Article in British journal of cancer, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Treatment algorithm and prognostic factors for patients with stage I-III carcinoma of the anal canal: a 20-year multicenter study.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2021
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. p53 autoantibodies as potential detection and prognostic biomarkers in serous ovarian cancer.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2010
    Article
  11. Article
  12. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

P de GraeffDepartment of Gynaecologic Oncology, University Medical Centre Groningen, University of Groningen, Groningen 9700 RB, The Netherlands.
J Hall
A P G Crijns
G H de Bock
J Paul
K A Oien
K A ten Hoor
S de Jong
H Hollema
J M S Bartlett
R Brown
A G J van der Zee

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prognostic impact of p53 immunostaining in a large series of tumours from epithelial ovarian cancer patients in a two-centre study was analysed. The study population (n=476) comprised of a retrospective series of 188 patients (Dutch cohort) and a prospective series of 288 patients (Scottish cohort) enrolled in clinical trials. P53 expression was determined by immunohistochemistry on tissue microarrays. Association with progression-free survival (PFS) and overall survival (OS) was analysed by univariate and multivariate Cox regression analysis. Aberrant p53 overexpression was significantly associated with PFS in the Dutch and Scottish cohorts (P=0.001 and 0.038, respectively), but not with OS in univariate analysis. In multivariate analysis, when the two groups were combined and account taken of clinical factors and country of origin of the cohort, p53 expression was not an independent prognostic predictor of PFS or OS. In this well-powered study with minimal methodological variability, p53 immunostaining is not an independent prognostic marker of clinical outcome in epithelial ovarian cancer. The data demonstrate the importance of methodological standardisation, particularly defining patient characteristics and survival end-point data, if biomarker data from multicentre studies are to be combined.

Indexed as

Genes, p53AdultAgedAged, 80 and overAnalysis of VarianceBiomarkers, TumorFemaleHumansMiddle AgedMultivariate AnalysisNeoplasm StagingOligonucleotide Array Sequence AnalysisOvarian NeoplasmsTreatment OutcomeTumor Suppressor Protein p53Biomarkers, TumorTumor Suppressor Protein p53

Identifiers

PMID16880779
PMCPMC2360689

What OpenQuestion holds

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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.