Evidence map›Paper›PMID 20204407›Full record

ArticleJournal of cancer research and clinical oncology2010

Comparison of microarray-based RNA expression with ELISA-based protein determination of HER2, uPA and PAI-1 in tumour tissue of patients with breast cancer and relation to outcome.

Isabell D Witzel, Karin Milde-Langosch, Ralph M Wirtz, Claudia Roth, Maike Ihnen, Sven Mahner, Christine Zu Eulenburg, Fritz Jänicke, Volkmar Müller

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In one paragraph

Article in Journal of cancer research and clinical oncology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 24% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

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  11. uPA/PAI-1 ratios distinguish benign prostatic hyperplasia and prostate cancer.Journal of cancer research and clinical oncology · 2013
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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 3 institutions in 1 country.

Isabell D WitzelDepartment of Gynecology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246 Hamburg, Germany.
Karin Milde-Langosch
Ralph M Wirtz
Claudia Roth
Maike Ihnen
Sven Mahner
Christine Zu Eulenburg
Fritz Jänicke
Volkmar Müller
University Medical Center Hamburg-Eppendorf · DEUniversität Hamburg · DESiemens Healthcare (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePrognostic and predictive markers in breast cancer are currently determined by single analysis of protein amounts. If RNA-based multi-gene analyses enter clinical practice, simultaneous determination of currently established markers like human epidermal growth factor receptor 2 (HER2), urokinase plasminogen activator (uPA) and its inhibitor (PAI-1) would represent an elegant simplification. To investigate the correlation between RNA and protein levels, we assessed HER2, uPA and PAI-1 in patients with breast cancer. In addition, we evaluated the influence of these factors on patient outcome.

methodsWe collected tumour samples from 133 patients with primary breast cancer. Protein and mRNA levels were measured for HER2, uPA and PAI-1. Protein concentration was measured by ELISA, mRNA expression was analysed by Affymetrix A133U Gene Chip and validated by quantitative PCR.

resultsWe were able to demonstrate a statistically significant correlation between mRNA and protein expression for HER2 (r = 0.67, P < 0.001) and uPA (r = 0.7, P < 0.001) but not for PAI-1 (r = 0.27). We observed a prognostic information for PAI-1 mRNA and protein values. Patients with high PAI-1 mRNA expression had a reduced 10-year disease-free survival (DFS) rate (60 vs. 70%, P = 0.071) and 10-year overall survival (OS) rate (68 vs. 79%, P = 0.034). Patients with PAI-1 protein levels above 14 ng/mg protein had a reduced disease-free (10-year DFS rate 54 vs. 71%, P = 0.006) and overall survival rate (10-year OS-rate 63 vs. 83%, P = 0.018). In the patient cohort with no chemotherapy, PAI-1 mRNA levels were the strongest prognostic factor for OS in univariate and multivariate analysis.

conclusionsResults of RNA-based multi-gene analyses of the prognostic and predictive markers HER2 and uPA correlate with the corresponding protein levels. This is not the case for PAI-1. However, PAI-1 mRNA expression might reveal new clinically relevant information in addition to PAI protein levels.

Indexed as

Oligonucleotide Array Sequence AnalysisBreast NeoplasmsCombined Modality TherapyDisease-Free SurvivalDNA PrimersDNA ProbesEnzyme-Linked Immunosorbent AssayErb-b2 Receptor Tyrosine KinasesFemaleGene AmplificationGene Expression Regulation, NeoplasticHumansPlasminogen Activator Inhibitor 1Polymerase Chain ReactionPrognosisReceptors, EstrogenDNA PrimersDNA ProbesERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesPlasminogen Activator Inhibitor 1Receptors, EstrogenReceptors, ProgesteroneRNA, MessengerRNA, NeoplasmUrokinase-Type Plasminogen Activator

Identifiers

PMID20204407
PMCPMC11828136
OpenAlexW2011240664

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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.