Evidence map›Paper›PMID 42284621›Full record

ArticleESMO open2026

Long-term outcomes and treatment response in early-stage invasive lobular carcinoma: insights from a nationwide population-based study.

G Nader-Marta, L Ameye, D Martins-Branco, R Salgado, N Van Damme, J Verbeeck, P Aftimos, L Buisseret, M Paesmans, C Molinelli and 6 more

Abstract read
In one paragraph

Article in ESMO open, 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
–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

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

16 authors.

G Nader-MartaClinical Trials Support Unit, Institut Jules Bordet, Hôpital Universitaire de Bruxelles (H.U.B), Université Libre de Bruxelles (ULB), Brussels, Belgium; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, USA; Harvard Medical School, Boston, USA. Electronic address: guilherme_nadermarta@dfci.harvard.edu.
L AmeyeClinical Biostatistics Unit, Hôpital Universitaire de Bruxelles (H.U.B), Université Libre de Bruxelles (ULB), Brussels, Belgium.
D Martins-BrancoClinical Trials Support Unit, Institut Jules Bordet, Hôpital Universitaire de Bruxelles (H.U.B), Université Libre de Bruxelles (ULB), Brussels, Belgium.
R SalgadoGZA-ZNA-Hospitals, Antwerp, Belgium; Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.
N Van DammeBelgian Cancer Registry, Brussels, Belgium.
J VerbeeckBelgian Cancer Registry, Brussels, Belgium.
P AftimosDepartment of Medical Oncology, Institut Jules Bordet, Hôpital Universitaire de Bruxelles (H.U.B), Université Libre de Bruxelles (ULB), Brussels, Belgium.
L BuisseretDepartment of Medical Oncology, Institut Jules Bordet, Hôpital Universitaire de Bruxelles (H.U.B), Université Libre de Bruxelles (ULB), Brussels, Belgium.
M PaesmansUnité de Gestion de l'Information (UGI), Institut Jules Bordet, Hôpital Universitaire de Bruxelles (H.U.B), Université Libre de Bruxelles (ULB), Brussels, Belgium.
C MolinelliDepartment of Internal Medicine and Medical Specialties (DIMI), School of Medicine, University of Genova, Genova, Italy; Department of Medical Oncology, U. O. Clinica di Oncologia Medica, IRCCS Ospedale Policlinico San Martino, Genova, Italy.
E L MayerDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, USA; Harvard Medical School, Boston, USA.
M LambertiniDepartment of Internal Medicine and Medical Specialties (DIMI), School of Medicine, University of Genova, Genova, Italy; Department of Medical Oncology, U. O. Clinica di Oncologia Medica, IRCCS Ospedale Policlinico San Martino, Genova, Italy.
K Van BaelenDepartment of Oncology, Laboratory for Translational Breast Cancer Research, KU Leuven, Leuven, Belgium.
C DesmedtDepartment of Oncology, Laboratory for Translational Breast Cancer Research, KU Leuven, Leuven, Belgium.
M PiccartClinical Trials Support Unit, Institut Jules Bordet, Hôpital Universitaire de Bruxelles (H.U.B), Université Libre de Bruxelles (ULB), Brussels, Belgium; Department of Medical Oncology, Institut Jules Bordet, Hôpital Universitaire de Bruxelles (H.U.B), Université Libre de Bruxelles (ULB), Brussels, Belgium.
E de AzambujaClinical Trials Support Unit, Institut Jules Bordet, Hôpital Universitaire de Bruxelles (H.U.B), Université Libre de Bruxelles (ULB), Brussels, Belgium; Department of Medical Oncology, Institut Jules Bordet, Hôpital Universitaire de Bruxelles (H.U.B), Université Libre de Bruxelles (ULB), Brussels, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInvasive lobular carcinoma (ILC), the second most common breast cancer subtype, differs from invasive breast carcinoma of no special type (BC-NST) in biology, presentation, and treatment response. Evidence on its prognostic impact remains inconsistent. PATIENTS AND

methodsOur nationwide, population-based study of stage I-III breast cancer diagnosed in Belgium (2008-2014) compared characteristics, treatment patterns, and overall survival (OS) between ILC and BC-NST.

resultsOf 51 815 eligible patients, 7593 (14.6%) had ILC. Compared with patients with BC-NST, patients with ILC were older (median 62 versus 59 years), more often T3-T4 (16.5% versus 7.4%) or N3 (5.4% versus 2.9%), and less frequently grade 3 (19.3% versus 40.7%; P < 0.0001). ILC was associated with worse unadjusted OS [hazard ratio (HR) 1.13, 95% confidence interval (CI) 1.08-1.18], with 15-year OS of 62.1% (versus 65.9% for BC-NST), but no difference after adjustment [adjusted HR (aHR) 0.97, 95% CI 0.92-1.02]. In subgroup analyses, inferior OS persisted in patients with N3 disease (aHR 1.29, 95% CI 1.07-1.55) and in those treated with neoadjuvant therapy (aHR 1.27, 95% CI 1.06-1.52). Flexible parametric models demonstrated a time-dependent effect, with lower early mortality but higher late mortality in ILC. Patients with ILC had lower odds of response to neoadjuvant therapy overall (odds ratio 0.34, 95% CI 0.27-0.43), consistent across hormone receptor-positive/human epidermal growth factor receptor 2-negative and triple-negative subtypes.

conclusionsThe apparent survival disadvantage of ILC is largely explained by clinicopathologic features, with no independent association with OS. However, ILC demonstrates a time-dependent survival pattern, with lower early but higher late mortality, and worse outcomes in patients with extensive nodal involvement.

Indexed as

Breast NeoplasmsCarcinoma, LobularAdultAgedBelgiumFemaleHumansMiddle AgedNeoplasm StagingPrognosisTreatment Outcomebreast neoplasmsductal breast carcinomalobular carcinomaneoadjuvant therapyprognosis

Identifiers

PMID42284621
PMCPMC13279005

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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.