Evidence map›Paper›PMID 37773555›Full record

ArticleBreast cancer research and treatment2024

Correlation between breast cancer subtypes determined by immunohistochemistry and n-COUNTER PAM50 assay: a real-world study.

Sara Lopez-Tarruella, María Del Monte-Millán, Marta Roche-Molina, Yolanda Jerez, Isabel Echavarria Diaz-Guardamino, Blanca Herrero López, Salvador Gamez Casado, Iván Marquez-Rodas, Enrique Alvarez, María Cebollero and 12 more

Abstract read
In one paragraph

Article in Breast cancer research and treatment, 2024. 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
–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

11 citing papers in PubMed.

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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

22 authors.

Sara Lopez-TarruellaMedical Oncology Department, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañon (IiSGM), CIBERONC, Geicam, Universidad Complutense, 28007, Madrid, Spain.
María Del Monte-MillánMedical Oncology Department, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), CiberOnc, Madrid, Spain.
Marta Roche-MolinaMedical Oncology Department, Hospital General Universitario Gregorio Marañón Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain.
Yolanda JerezMedical Oncology Department, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), CiberOnc, Madrid, Spain.
Isabel Echavarria Diaz-GuardaminoMedical Oncology Department, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), CiberOnc, Madrid, Spain.
Blanca Herrero LópezMedical Oncology Department, Hospital General Universitario Gregorio Marañón Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain.
Salvador Gamez CasadoMedical Oncology Department, Hospital General Universitario Gregorio Marañón Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain.
Iván Marquez-RodasMedical Oncology Department, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), CiberOnc, Madrid, Spain.
Enrique AlvarezMedical Oncology Department, Hospital General Universitario Gregorio Marañón Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain.
María CebolleroPathology Service, Hospital General Universitario Gregorio Marañón, Madrid, Spain.
Tatiana MassarrahMedical Oncology Department, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), CiberOnc, Madrid, Spain.
Inmaculada OcañaMedical Oncology Department, Hospital General Universitario Gregorio Marañón Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain.
Ainhoa AriasMedical Oncology Department, Hospital General Universitario Gregorio Marañón Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain.
José Ángel García-SáenzMedical Oncology Department, Hospital Clínico San Carlos, Instituto de Investigación Sanitaria San Carlos (IdISSC), CIBERONC, Madrid, Spain.
Fernando Moreno AntonMedical Oncology Department, Hospital Clínico San Carlos, Instituto de Investigación Sanitaria San Carlos (IdISSC), CIBERONC, Madrid, Spain.
Clara Olier GarateMedical Oncology Department, Hospital Universitario Fundación Alcorcón, Alcorcon, Spain.
Diana Moreno MuñozMedical Oncology Department, Hospital Universitario Fundación Alcorcón, Alcorcon, Spain.
David MarrupeDepartment of Oncologia, Hospital Universitario de Móstoles, Mostoles, Spain.
Miguel Ángel Lara ÁlvarezMedical Oncology Department, Hospital Universitario Infanta Leonor, Universidad Complutense, Madrid, Spain.
Santos EnrechMedical Oncology Department, Hospital Universitario de Getafe, Madrid, Spain.
Coralia Bueno MuiñoMedical Oncology Department, Hospital Infanta Cristina (Parla), Fundación de Investigación Biomédica del H.U. Puerta de Hierro, Majadahonda, 28009, Madrid, Spain.
Miguel MartínMedical Oncology Department, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañon (IiSGM), CIBERONC, Geicam, Universidad Complutense, 28007, Madrid, Spain. mmartin@geicam.org.ORCID http://orcid.org/0000-0001-9237-3231

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeMolecular subtyping based on gene expression profiling (i.e., PAM50 assay) aids in determining the prognosis and treatment of breast cancer (BC), particularly in hormone receptor (HR)-positive/human epidermal growth factor receptor 2 (HER2)-negative tumors, where luminal A and B subtypes have different prognoses and treatments. Several surrogate classifications have been proposed for distinguishing between the luminal A and B subtypes. This study determines the accuracy of local immunohistochemistry (IHC) techniques for classifying HR-positive/HER2-negative (HR+/HER2-) tumors according to intrinsic subtypes using the nCOUNTER PAM50 assay as reference and the HR status definition according the ASCO/CAP recommendations.

methodsMolecular subtypes resulting from nCOUNTER PAM50 performed in our laboratory between 2014 and 2020 were correlated with three different proxy surrogates proposed in the literature based on ER, PR, HER2, and Ki67 expression with different cut-off values. Concordance was measured using the level of agreement and kappa statistics.

resultsFrom 1049 samples with the nCOUNTER test, 679 and 350 were luminal A and B subtypes, respectively. Only a poor-to-fair correlation was observed between the three proxy surrogates and real genomic subtypes as determined by nCOUNTER PAM50. Moreover, 5-11% and 18-36% of the nCOUNTER PAM50 luminal B and A tumors were classified as luminal A and B, respectively, by these surrogates.

conclusionThe concordance between luminal subtypes determined by three different IHC-based classifiers and the nCOUNTER PAM50 assay was suboptimal. Thus, a significant proportion of luminal A and B tumors as determined by the surrogate classifiers could be undertreated or over-treated.

Indexed as

Breast NeoplasmsBiomarkers, TumorErb-b2 Receptor Tyrosine KinasesFemaleGene Expression ProfilingHumansImmunohistochemistryPrognosisReceptors, ProgesteroneBiomarkers, TumorErb-b2 Receptor Tyrosine KinasesReceptors, ProgesteroneBiomarkersBreast cancerGene expression profilingPrognostic platforms

Identifiers

PMID37773555
PMCPMC10771357

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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.