Evidence map›Paper›PMID 28850621›Full record

ArticlePloS one2017

MammaPrint versus EndoPredict: Poor correlation in disease recurrence risk classification of hormone receptor positive breast cancer.

Andreas Bösl, Andreas Spitzmüller, Zerina Jasarevic, Stefanie Rauch, Silke Jäger, Felix Offner

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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

9 citing papers in PubMed.

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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

6 authors.

Andreas BöslDepartment of Molecular Diagnostics, Institute of Pathology, Academic Teaching Hospital Feldkirch, Feldkirch, Austria.ORCID http://orcid.org/0000-0003-4278-2461
Andreas SpitzmüllerDepartment of Genome Oriented Bioinformatics, Technical University of Munich, Freising, Germany.
Zerina JasarevicDepartment of Molecular Diagnostics, Institute of Pathology, Academic Teaching Hospital Feldkirch, Feldkirch, Austria.
Stefanie RauchDepartment of Surgery, Academic Teaching Hospital Feldkirch, Feldkirch, Austria.
Silke JägerFH Campus Vienna, University of Applied Sciences, Vienna, Austria.
Felix OffnerDepartment of Molecular Diagnostics, Institute of Pathology, Academic Teaching Hospital Feldkirch, Feldkirch, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCorrect risk assessment of disease recurrence in patients with early breast cancer is critically important to detect patients who may be spared adjuvant chemotherapy. In clinical practice this is increasingly done based on the results of gene expression assays. In the present study we compared the concordance of the 70-gene signature MammaPrint (MP) with the 12 gene assay EndoPredict (EP).

methodsRepresentative tissue of 48 primary tumours was analysed with the MP during routine diagnostic purposes. Corresponding formalin-fixed, paraffin-embedded tissue was thereafter analysed by the EP test. Risk categories of both tests were compared.

results41 of 48 tumours could be directly compared by both tests. Of the 17 MP low risk cases, only 9 were considered low risk by EP (53% agreement) and of the 24 MP high risk cases, 18 were high risk by EP (75% agreement). Discrepancies occurred in 14 of 41 cases (34.1%). There was only a weak and non-significant correlation between the MP and EP test with an overall concordance of only 66%. The original therapeutic recommendation was based on the MP and would have been changed in 38% of the patients following EP test results. 4 patients developed distant metastases. The respective tumours of these patients were all classified as high risk by the EP, but only 3 were classified as high risk by the MP.

conclusionBoth tests resulted in different treatment recommendations for a significant proportion of patients and cannot be used interchangeably. The results underscore the urgent need for further comparative analyses of multi-genomic tests to avoid misclassification of disease recurrence risk in breast cancer patients.

Indexed as

AdultBreast NeoplasmsFemaleGene Expression ProfilingHumansMiddle AgedNeoplasm Recurrence, LocalPrognosisRisk AssessmentRisk Factors

Identifiers

PMID28850621
PMCPMC5574574

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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.