Evidence map›Paper›PMID 30342538›Full record

ArticleDiagnostic pathology2018

Robustness of biomarker determination in breast cancer by RT-qPCR: impact of tumor cell content, DCIS and non-neoplastic breast tissue.

Kerstin Hartmann, Kornelia Schlombs, Mark Laible, Claudia Gürtler, Marcus Schmidt, Ugur Sahin, Hans-Anton Lehr

Open access · goldAbstract readComparative Study
In one paragraph

Article in Diagnostic pathology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 42% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

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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

7 authors at 3 institutions in 1 country.

Kerstin HartmannBioNTech Diagnostics GmbH, An der Goldgrube 12, 55131, Mainz, Germany. kerstin.hartmann@biontech.de.
Kornelia SchlombsBioNTech Diagnostics GmbH, An der Goldgrube 12, 55131, Mainz, Germany.
Mark LaibleBioNTech Diagnostics GmbH, An der Goldgrube 12, 55131, Mainz, Germany.
Claudia GürtlerBioNTech Diagnostics GmbH, An der Goldgrube 12, 55131, Mainz, Germany.
Marcus SchmidtDepartment of Obstetrics and Gynecology, Johannes Gutenberg University, Langenbeckstraße 1, 55131, Mainz, Germany.
Ugur SahinBioNTech AG, An der Goldgrube 12, 55131, Mainz, Germany.
Hans-Anton LehrInstitute of Pathology, Medizin Campus Bodensee, Röntgenstraße 2, 88048, Friedrichshafen, Germany.
BioNTech (Germany) · DEJohannes Gutenberg University Mainz · DEMedizin Campus Bodensee · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTissue heterogeneity in formalin-fixed paraffin-embedded (FFPE) breast cancer specimens may affect the accuracy of reverse transcription quantitative real-time PCR (RT-qPCR). Herein, we tested the impact of tissue heterogeneity of breast cancer specimen on the RT-qPCR-based gene expression assay MammaTyper®.

methodsMammaTyper® quantifies the mRNA expression of the four biomarkers ERBB2, ESR1, PGR, and MKI67. Based on pre-defined cut-off values, this molecular in vitro diagnostic assay permits binary marker classification and determination of breast cancer subtypes as defined by St Gallen 2013. In this study, we compared data from whole FFPE sections with data obtained in paired RNA samples after enrichment for invasive carcinoma via macro- or laser-capture micro-dissection.

resultsCompared to whole sections, removal of surrounding adipose tissue by macrodissection generated mean absolute 40-ddCq differences of 0.28-0.32 cycles for all four markers, with ≥90% concordant binary classifications. The mean raw marker Cq values in the adipose tissue were delayed by 6 to 7 cycles compared with the tumor-enriched sections, adding a trivial linear fold change of 1.0078 to 1.0156. Comparison of specimens enriched for invasive tumor with whole sections with as few as 20% tumor cell content resulted in mean absolute differences that remained on average below 0.59 Cq. The mean absolute difference between whole sections containing up to 60% ductal carcinoma in situ (DCIS) and specimens after dissection of DCIS was only 0.16-0.25 cycles, although there was a tendency for higher gene expression in DCIS. Observed variations were related to small size of samples and proximity of values to the limit of detection.

conclusionExpression of ESR1, PGR, ERBB2 and MKI67 by MammaTyper® is robust in clinical FFPE samples. Assay performance was unaffected by adipose tissue and was stable in samples with as few as 20% tumor cell content and up to 60% DCIS.

Indexed as

Laser Capture MicrodissectionReal-Time Polymerase Chain ReactionReverse Transcriptase Polymerase Chain ReactionBiomarkers, TumorBreast NeoplasmsCarcinomaCarcinoma, Intraductal, NoninfiltratingErb-b2 Receptor Tyrosine KinasesEstrogen Receptor alphaFemaleFixativesFormaldehydeGene Expression ProfilingHumansKi-67 AntigenPredictive Value of TestsBiomarkers, TumorERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesESR1 protein, humanEstrogen Receptor alphaFixativesFormaldehydeKi-67 AntigenMKI67 protein, humanReceptors, ProgesteroneRNA, MessengerBreast cancerDCISMammaTyperNon-neoplastic tissueRT-qPCRTissue heterogeneityTumor cell content

Identifiers

PMID30342538
PMCPMC6195967
OpenAlexW2895887551

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.