Preanalytical variables and performance of diagnostic RNA-based gene expression analysis in breast cancer View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2014-10

AUTHORS

Christopher Poremba, Jennifer Uhlendorff, Berit M. Pfitzner, Guido Hennig, Kerstin Bohmann, Hans Bojar, Veit Krenn, Jan C. Brase, Franziska Haufe, Manuela Averdick, Manfred Dietel, Ralf Kronenwett, Carsten Denkert

ABSTRACT

Prognostic multigene expression assays have become widely available to provide additional information to standard clinical parameters and to support clinicians in treatment decisions. In this study, we analyzed the impact of variations in tissue handling on the diagnostic EndoPredict test results. EndoPredict is a quantitative reverse transcription PCR assay conducted on RNA from formalin-fixed, paraffin-embedded (FFPE) tissue that predicts the likelihood of distant recurrence in patients with ER-positive/HER2-negative breast cancer. In this study, we performed a total of 138 EndoPredict assays to study the effects of preanalytical variables such as time to fixation, fixation time, tumor cell content, and section storage time on the EndoPredict test results. A time to fixation of up to 12 h and fixation of up to 5 days did not affect the results of the gene expression test. Paired samples of FFPE sections with tumor cell content ranging from 15 to 95 % and tumor-enriched samples showed a correlation coefficient of 0.97. Test results of tissue sections that have been stored for 12 months at +4 or +20 °C showed a correlation of 0.99 when compared to results of nonstored sections. In conclusion, preanalytical tissue handling is not a critical factor for diagnostic gene expression analysis with the EndoPredict assay. The test can therefore be easily integrated into the standard workflow of molecular pathology. More... »

PAGES

409-417

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00428-014-1652-0

DOI

http://dx.doi.org/10.1007/s00428-014-1652-0

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1050165867

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/25218890


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

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curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s00428-014-1652-0'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00428-014-1652-0'

Turtle is a human-readable linked data format.

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RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00428-014-1652-0'


 

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311 schema:name Siemens Healthcare Diagnostics Holding GmbH, Ludwig-Erhard-Straße 12, 65760, Eschborn, Germany
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313 https://www.grid.ac/institutes/grid.6363.0 schema:alternateName Charité
314 schema:name Center for Molecular Oncology and Molecular Pathology (ZMOMP), Hans-Günther-Sohl-Straße 12, 40235, Düsseldorf, Germany
315 Institute of Pathology Munich-North, Ernst-Platz-Straße 2, 80992, Munich, Germany
316 Institute of Pathology, Charité Hospital, Campus Mitte, Charitéplatz 1, 10117, Berlin, Germany
317 rdf:type schema:Organization
 




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