Evidence map›Paper›PMID 27605191›Full record

ReviewMicroarrays (Basel, Switzerland)2013

From High-Throughput Microarray-Based Screening to Clinical Application: The Development of a Second Generation Multigene Test for Breast Cancer Prognosis.

Jan C Brase, Ralf Kronenwett, Christoph Petry, Carsten Denkert, Marcus Schmidt

Abstract readReview
In one paragraph

Review in Microarrays (Basel, Switzerland), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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

5 authors.

Jan C BraseSividon Diagnostics GmbH, Nattermannallee 1, 50829, Cologne, Germany. brase@sividon.com.
Ralf KronenwettSividon Diagnostics GmbH, Nattermannallee 1, 50829, Cologne, Germany. Kronenwett@sividon.com.
Christoph PetrySividon Diagnostics GmbH, Nattermannallee 1, 50829, Cologne, Germany. petry@sividon.com.
Carsten DenkertInstitute of Pathology, Charité University Medicine Berlin, Charitéplatz 1, 10117 Berlin, Germany. carsten.denkert@charite.de.
Marcus SchmidtDepartment of Gynecology and Obstetrics, University of Mainz, Langenbeckstr. 1, 55131 Mainz, Germany. Marcus.Schmidt@unimedizin-mainz.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several multigene tests have been developed for breast cancer patients to predict the individual risk of recurrence. Most of the first generation tests rely on proliferation-associated genes and are commonly carried out in central reference laboratories. Here, we describe the development of a second generation multigene assay, the EndoPredict test, a prognostic multigene expression test for estrogen receptor (ER) positive, human epidermal growth factor receptor (HER2) negative (ER+/HER2-) breast cancer patients. The EndoPredict gene signature was initially established in a large high-throughput microarray-based screening study. The key steps for biomarker identification are discussed in detail, in comparison to the establishment of other multigene signatures. After biomarker selection, genes and algorithms were transferred to a diagnostic platform (reverse transcription quantitative PCR (RT-qPCR)) to allow for assaying formalin-fixed, paraffin-embedded (FFPE) samples. A comprehensive analytical validation was performed and a prospective proficiency testing study with seven pathological laboratories finally proved that EndoPredict can be reliably used in the decentralized setting. Three independent large clinical validation studies (n = 2,257) demonstrated that EndoPredict offers independent prognostic information beyond current clinicopathological parameters and clinical guidelines. The review article summarizes several important steps that should be considered for the development process of a second generation multigene test and offers a means for transferring a microarray signature from the research laboratory to clinical practice.

Indexed as

breast cancerendocrine therapyEndoPredictmultigene test

Identifiers

PMID27605191
PMCPMC5003465

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.