Evidence map›Paper›PMID 26820652›Full record

Trial reportBreast cancer research and treatment2016

Discordant assessment of tumor biomarkers by histopathological and molecular assays in the EORTC randomized controlled 10041/BIG 03-04 MINDACT trial breast cancer : Intratumoral heterogeneity and DCIS or normal tissue components are unlikely to be the cause of discordance.

Giuseppe Viale, Leen Slaets, Femke A de Snoo, Jan Bogaerts, Leila Russo, Laura van't Veer, Emiel J T Rutgers, Martine J Piccart-Gebhart, Lisette Stork-Sloots, Patrizia Dell'Orto and 2 more

Open access · hybridAbstract readClinical Trial, Phase IIIRandomized Controlled Trial
In one paragraph

Trial report in Breast cancer research and treatment, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.7field-weighted citation impact, top 18% 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

11 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Breast Cancer Type Classification Using Machine Learning.Journal of personalized medicine · 2021
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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 8 institutions in 5 countries.

Giuseppe VialeDepartment of Pathology, European Institute of Oncology and University of Milan, Via Ripamonti 435, 20141, Milan, Italy. giuseppe.viale@ieo.it.
Leen SlaetsDepartment of Statistics, European Organization for Research and Treatment of Cancer, Brussels, Belgium.
Femke A de SnooMedical Affairs, Agendia, Amsterdam, The Netherlands.
Jan BogaertsDepartment of Statistics, European Organization for Research and Treatment of Cancer, Brussels, Belgium.
Leila RussoDepartment of Pathology, European Institute of Oncology and University of Milan, Via Ripamonti 435, 20141, Milan, Italy.
Laura van't VeerMedical Affairs, Agendia, Amsterdam, The Netherlands.
Emiel J T RutgersDepartment of Surgery, Netherlands Cancer Institute, Amsterdam, The Netherlands.
Martine J Piccart-GebhartDepartment of Medical Oncology, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium.
Lisette Stork-SlootsMedical Affairs, Agendia, Amsterdam, The Netherlands.
Patrizia Dell'OrtoDepartment of Pathology, European Institute of Oncology and University of Milan, Via Ripamonti 435, 20141, Milan, Italy.
Annuska M GlasMedical Affairs, Agendia, Amsterdam, The Netherlands.
Fatima CardosoBreast Unit, Champalimaud Cancer Center, Lisbon, Portugal.
Agendia (Netherlands) · NLEuropean Organisation for Research and Treatment of Cancer · BEUniversity of Milan · ITChampalimaud Foundation · PTInstitut Jules Bordet · BERipamonti · ITThe Netherlands Cancer Institute · NLUniversity of California, San Francisco · US

Funding

Cancer Research UK 7714
6 · The paper itself

Abstract

Accurate identification of breast cancer patients most likely to benefit from adjuvant systemic therapies is crucial. Better understanding of differences between methods can lead to an improved ER, PgR, and HER-2 assessment. The purpose of this preplanned translational research is to investigate the correlation of central IHC/FISH assessments with microarray mRNA readouts of ER, PgR, and HER-2 status in the MINDACT trial and to determine if any discordance could be attributed to intratumoral heterogeneity or the DCIS and normal tissue components in the specimens. MINDACT is an international, prospective, randomized, phase III trial investigating the clinical utility of MammaPrint in selecting patients with early breast cancer for adjuvant chemotherapy (n = 6694 patients). Gene-expression data were obtained by TargetPrint; IHC and/or FISH were assessed centrally (n = 5788; 86 %). Macroscopic and microscopic evaluation of centrally submitted FFPE blocks identified 1427 cases for which the very same sample was submitted for gene-expression analysis. TargetPrint ER had a positive agreement of 98 %, and a negative agreement of 95 % with central pathology. Corresponding figures for PgR were 85 and 94 % and for HER-2 72 and 99 %. Agreement of mRNA versus central protein was not different when the same or a different portion of the tumor tissue was analyzed or when DCIS and/or normal tissue was included in the sample subjected to mRNA assays. This is the first large analysis to assess the discordance rate between protein and mRNA analysis of breast cancer markers, and to look into intratumoral heterogeneity, DCIS, or normal tissue components as a potential cause of discordance. The observed difference between mRNA and protein assessment for PgR and HER-2 needs further research; the present analysis does not support intratumoral heterogeneity or the DCIS and normal tissue components being likely causes of the discordance.

Indexed as

Biomarkers, TumorBreast NeoplasmsCarcinoma, Intraductal, NoninfiltratingErb-b2 Receptor Tyrosine KinasesFemaleGene Expression Regulation, NeoplasticGenetic HeterogeneityHumansIn Situ Hybridization, FluorescencePrognosisReceptors, EstrogenReceptors, ProgesteroneRNA, MessengerBiomarkers, TumorERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesReceptors, EstrogenReceptors, ProgesteroneRNA, MessengerBreast cancerConcordanceERGene expressionHER2Hormone receptorIHC/FISHPgRTargetPrintTumor heterogeneity

Identifiers

PMID26820652
PMCPMC4764628
OpenAlexW2409630959

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

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.