Evidence map›Paper›PMID 42160910›Full record

ArticleBreast (Edinburgh, Scotland)2026

Characteristics and outcomes of patients with HER2-negative metastatic breast cancers with low expression of estrogen and progesterone receptors in the multicenter ESME cohort.

Marie Alexandre, Eva Teruel, Florence Dalenc, Thibaut de la Motte Rouge, Etienne Brain, Vincent Massard, Monica Arnedos, Audrey Mailliez, Jean-Marc Ferrero, Thomas Bachelot and 10 more

Abstract readMulticenter Study
In one paragraph

Article in Breast (Edinburgh, Scotland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

20 authors.

Marie AlexandreDepartment of Medical Oncology, Regional Cancer Institute, Montpellier, France. Electronic address: Marie.Alexandre@icm.unicancer.fr.
Eva TeruelBiostatistics Unit, Regional Cancer Institute, Montpellier, France.
Florence DalencDepartment of Medical Oncology, Oncopole Claudius Regaud IUCT-O, Toulouse, France.
Thibaut de la Motte RougeDepartment of Medical Oncology, Centre Eugène Marquis, Rennes, France.
Etienne BrainDepartment of Medical Oncology, Institut Curie, Saint-Cloud, France.
Vincent MassardDepartment of Medical Oncology, Institut de Cancérologie de Lorraine, Vandœuvre-lès-Nancy, France.
Monica ArnedosDepartment of Medical Oncology, Institut Bergonié, Bordeaux, France.
Audrey MailliezDepartment of Medical Oncology, Centre Oscar Lambret, Lille, France.
Jean-Marc FerreroDepartment of Medical Oncology, Centre Antoine Lacassagne Université Côte d'Azur, Nice, France.
Thomas BachelotDepartment of Medical Oncology, Centre Léon Bérard, Lyon, France.
Isabelle DesmoulinsDepartment of Medical Oncology, Centre Georges-François Leclerc, Dijon, France.
Marie-Ange Mouret-ReynierDepartment of Medical Oncology, Centre Jean Perrin, Clermont-Ferrand, France.
Christelle LevyDepartment of Medical Oncology, Centre François Baclesse, Caen, France.
Antony GonçalvesDepartment of Medical Oncology, Institut Paoli-Calmette, Marseille, France.
Anca BerghianDepartment of Medical Oncology, Centre Henri Becquerel, Rouen, France.
Thierry PetitDepartment of Medical Oncology, Centre Paul Strauss ICANS, Strasbourg, France.
Jean-Sébastien FrenelDepartment of Medical Oncology, Institut de Cancérologie de l'Ouest, Saint-Herblain, France.
Anne-Laure MartinHealth Data and Partnership department, Unicancer, Paris, France.
Thomas GrindaBreast Cancer Unit, Gustave Roussy, Villejuif, France.
William JacotDepartment of Medical Oncology, Regional Cancer Institute, Montpellier, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBreast cancers expressing low (1-9%) immunohistochemistry levels of estrogen and progesterone hormone receptors (HR), remain an uncertain category, being considered either as triple negative (TN) breast cancers or HR-positive (HR+) tumors across guidelines or approvals.

methodsESME is a National real-world cohort of all consecutive patients who initiated a first-line treatment for metastatic breast cancer (MBC) from year 2008 onwards in one of the 18 French Comprehensive Cancer Centers. We analyzed baseline data and outcomes from all patients with HER2-negative MBC and known HR expression levels. Our primary objective was to evaluate overall survival (OS) in HR-low MBC patients compared with those with TN and HR + disease.

resultsOut of 30,459 patients in the ESME database who initiated an MBC treatment between 01/2008 and 01/2021, 19,109 were eligible for this analysis: 16768, 2113, 228 respectively with HR+, TN, and HR-low MBC. Median follow-up was 58.0 months (56.6-59.0). Median OS were 44.6 (43.8-45.5), 19.1 (15.5-22.4) and 15.7 (15.0-16.8) months in the HR+, TN, and HR-low groups, respectively. The multivariable analysis identified no difference in OS between HR-low and TN groups (Hazard Ratio 0.93, 95%CI 0.77-1.11). Median PFS under first line chemotherapy were 10.2 (9.9-10.6), 5.3 (5.1-5.6) and 5.1 (4.1-6.2) months for HR+, TN and HR-low groups, respectively. In the multivariable analysis, the HR-low group had a statistically poorer PFS compared to the TN group (Hazard Ratio 1.24, 95% CI 1.04-1.49).

conclusionsIn this large cohort, patients with HR-low MBC have the same dismal overall survival as those with TN MBC.

Indexed as

Breast NeoplasmsErb-b2 Receptor Tyrosine KinasesReceptors, EstrogenReceptors, ProgesteroneAdultAgedCohort StudiesFemaleFranceHumansMiddle AgedTriple Negative Breast NeoplasmsERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesReceptors, EstrogenReceptors, ProgesteroneHormone receptor lowMetastatic breast cancerOverall survivalReal-world data

Identifiers

PMID42160910
PMCPMC13213639

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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.