Evidence map›Paper›PMID 28886093›Full record

ArticlePloS one2017

Comparison of risk classification between EndoPredict and MammaPrint in ER-positive/HER2-negative primary invasive breast cancer.

Alberto Peláez-García, Laura Yébenes, Alberto Berjón, Antonia Angulo, Pilar Zamora, José Ignacio Sánchez-Méndez, Enrique Espinosa, Andrés Redondo, Victoria Heredia-Soto, Marta Mendiola and 2 more

Open access · goldAbstract 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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 29% 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, 15 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

12 authors at 2 institutions in 1 country.

Alberto Peláez-GarcíaDepartment of Pathology, Hospital Universitario La Paz, IdiPAZ, Madrid, Spain.
Laura YébenesDepartment of Pathology, Hospital Universitario La Paz, IdiPAZ, Madrid, Spain.
Alberto BerjónDepartment of Pathology, Hospital Universitario La Paz, IdiPAZ, Madrid, Spain.
Antonia AnguloMyriad Genetics España SLU, Madrid, Spain.
Pilar ZamoraDepartment of Medical Oncology, Hospital Universitario La Paz, IdiPAZ, Madrid, Spain.
José Ignacio Sánchez-MéndezMolecular Pathology and Therapeutic Targets Group, Hospital Universitario La Paz, IdiPAZ, Madrid, Spain.
Enrique EspinosaDepartment of Medical Oncology, Hospital Universitario La Paz, IdiPAZ, Madrid, Spain.
Andrés RedondoDepartment of Medical Oncology, Hospital Universitario La Paz, IdiPAZ, Madrid, Spain.
Victoria Heredia-SotoMolecular Pathology and Therapeutic Targets Group, Hospital Universitario La Paz, IdiPAZ, Madrid, Spain.
Marta MendiolaDepartment of Pathology, Hospital Universitario La Paz, IdiPAZ, Madrid, Spain.
Jaime FeliúDepartment of Medical Oncology, Hospital Universitario La Paz, IdiPAZ, Madrid, Spain.
David HardissonDepartment of Pathology, Hospital Universitario La Paz, IdiPAZ, Madrid, Spain.ORCID http://orcid.org/0000-0002-2183-3699
Hospital Universitario La Paz · ESSaint Louis University · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo compare the concordance in risk classification between the EndoPredict and the MammaPrint scores obtained for the same cancer samples on 40 estrogen-receptor positive/HER2-negative breast carcinomas.

methodsFormalin-fixed, paraffin-embedded invasive breast carcinoma tissues that were previously analyzed with MammaPrint as part of routine care of the patients, and were classified as high-risk (20 patients) and low-risk (20 patients), were selected to be analyzed by the EndoPredict assay, a second generation gene expression test that combines expression of 8 genes (EP score) with two clinicopathological variables (tumor size and nodal status, EPclin score).

resultsThe EP score classified 15 patients as low-risk and 25 patients as high-risk. EPclin re-classified 5 of the 25 EP high-risk patients into low-risk, resulting in a total of 20 high-risk and 20 low-risk tumors. EP score and MammaPrint score were significantly correlated (p = 0.008). Twelve of 20 samples classified as low-risk by MammaPrint were also low-risk by EP score (60%). 17 of 20 MammaPrint high-risk tumors were also high-risk by EP score. The overall concordance between EP score and MammaPrint was 72.5% (κ = 0.45, (95% CI, 0.182 to 0.718)). EPclin score also correlated with MammaPrint results (p = 0.004). Discrepancies between both tests occurred in 10 cases: 5 MammaPrint low-risk patients were classified as EPclin high-risk and 5 high-risk MammaPrint were classified as low-risk by EPclin and overall concordance of 75% (κ = 0.5, (95% CI, 0.232 to 0.768)).

conclusionsThis pilot study demonstrates a limited concordance between MammaPrint and EndoPredict. Differences in results could be explained by the inclusion of different gene sets in each platform, the use of different methodology, and the inclusion of clinicopathological parameters, such as tumor size and nodal status, in the EndoPredict test.

Indexed as

AdipokinesBreast NeoplasmsCalcium-Binding ProteinsCalmodulinCarrier ProteinsCytokine Receptor gp130Erb-b2 Receptor Tyrosine KinasesExtracellular Matrix ProteinsFemaleGlycoproteinsHumansImmunohistochemistryInhibitor of Apoptosis ProteinsIntercellular Signaling Peptides and ProteinsIn Vitro TechniquesKi-67 Antigen7-dehydrocholesterol reductaseAdipokinesAZGP1 protein, humanBIRC5 protein, humanCalcium-Binding ProteinsCALM2 protein, humanCalmodulinCarrier ProteinsCytokine Receptor gp130Erb-b2 Receptor Tyrosine KinasesExtracellular Matrix ProteinsGlycoproteinsIL6ST protein, humanInhibitor of Apoptosis ProteinsIntercellular Signaling Peptides and ProteinsKi-67 AntigenMatrix Gla Proteinornithine decarboxylase antizymeOxidoreductases Acting on CH-CH Group DonorsProteinsReceptors, EstrogenReceptors, ProgesteroneRibosomal ProteinsRPL37A protein, humanSTC2 protein, humanSurvivinUBE2C protein, humanUbiquitin-Conjugating EnzymesZn-Alpha-2-Glycoprotein

Identifiers

PMID28886093
PMCPMC5590847
OpenAlexW2751538554

What OpenQuestion holds

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LicenceCC BY
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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.