Evidence map›Paper›PMID 12592372›Full record

ArticleBritish journal of cancer2003

Correlation of COX-2 and Ep-CAM overexpression in human invasive breast cancer and its impact on survival.

G Spizzo, G Gastl, D Wolf, E Gunsilius, M Steurer, D Fong, A Amberger, R Margreiter, P Obrist

Open access · hybridAbstract read
In one paragraph

Article in British journal of cancer, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 4 pooled it
5.9field-weighted citation impact, top 4% 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

33 citing papers in PubMed, 4 syntheses or guidelines pooled it, 112 citations in OpenAlex.

  1. Pooled it
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  13. Role of Aspirin in Breast Cancer Survival.Current oncology reports · 2017
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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

9 authors at 1 institution in 1 country.

G SpizzoDivision of Haematology and Oncology, University of Innsbruck, Austria.
G Gastl
D Wolf
E Gunsilius
M Steurer
D Fong
A Amberger
R Margreiter
P Obrist
Universität Innsbruck · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent studies have demonstrated cyclooxygenase 2 (COX-2) overexpression in various human malignancies, especially in breast cancer, where COX-2 turned out to be a predictor of poor survival. To evaluate the relation of COX-2 and Ep-CAM overexpression and its prognostic significance, we performed a retrospective study on 212 breast cancer patients with a median follow-up time of 10.5 years. Overexpression of COX-2 in tumour tissue samples was assessed by immunohistochemistry. COX-2 overexpression was found in 48.6% of the tumour samples and was predictive for poor disease-free and overall survival. Univariate analysis revealed a strong correlation between COX-2 and Ep-CAM overexpression (P=0.009). Concurrent COX-2 and Ep-CAM overexpression was present in 21.7% of tumour specimens and had an additive negative impact on disease-free and overall survival. Determination of both tumour markers should help in guiding new therapeutic strategies in patients with invasive breast cancer.

Indexed as

AdultAgedAged, 80 and overAntigens, NeoplasmBreast NeoplasmsCell Adhesion MoleculesCyclooxygenase 2Epithelial Cell Adhesion MoleculeFemaleHumansIsoenzymesMembrane ProteinsMiddle AgedNeoplasm InvasivenessNeoplasm Recurrence, LocalProstaglandin-Endoperoxide SynthasesAntigens, NeoplasmCell Adhesion MoleculesCyclooxygenase 2Epithelial Cell Adhesion MoleculeIsoenzymesMembrane ProteinsProstaglandin-Endoperoxide SynthasesPTGS2 protein, human

Identifiers

PMID12592372
PMCPMC2377167
OpenAlexW2040394747

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.