Evidence map›Paper›PMID 41995722›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2026

Transcriptomic Insights into Lobular Breast Cancer Biology and Patient Outcomes: Analysis of the MINDACT Clinical Trial.

Christine Desmedt, Ha-Linh Nguyen, François Richard, Sabine Linn, Otto Metzger Fihlo, Coralie Poncet, Jelle Wesseling, Kim Aalders, Mauro Delorenzi, Suzette Delaloge and 10 more

Abstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 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

20 authors.

Christine DesmedtLaboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium.ORCID 0000-0002-5223-5579
Ha-Linh NguyenLaboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium.ORCID 0000-0002-2538-7657
François RichardLaboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium.ORCID 0000-0003-4353-3619
Sabine LinnDepartments of Molecular Pathology and Medical Oncology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.ORCID 0000-0001-5541-0347
Otto Metzger FihloDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0003-0792-0320
Coralie PoncetEuropean Organisation for Research and Treatment of Cancer (EORTC) Headquarters, Brussels, Belgium.ORCID 0000-0002-8635-9350
Jelle WesselingDivisions of Diagnostic Oncology and Molecular Pathology, Netherlands Cancer Institute, Amsterdam, Netherlands.ORCID 0000-0002-8940-2676
Kim AaldersDepartment of Nuclear Medicine, Netherlands Cancer Institute, Amsterdam, The Netherlands.ORCID 0000-0003-1088-2476
Mauro DelorenziDepartment of Oncology, University of Lausanne, Epalinges, Switzerland.ORCID 0000-0001-7631-3263
Suzette DelalogeDépartement de Médecine Oncologique, Institut Gustave Roussy, Villejuif, France.ORCID 0000-0003-2106-9165
Jean-Yves PiergaMedical Oncology Department, Institut Curie Paris & Saint-Cloud, Saint-Cloud, France.ORCID 0000-0002-2863-9995
Etienne BrainMedical Oncology Department, Institut Curie Paris & Saint-Cloud, Saint-Cloud, France.ORCID 0000-0003-0881-9371
Suzan VrijaldenhovenNoordwest Ziekenhuisgroep , Alkmaar, Netherlands.ORCID 0009-0008-2326-9092
Karen Van BaelenLaboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium.ORCID 0000-0002-5700-3574
Marion MaetensLaboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium.ORCID 0000-0002-0505-2622
Emiel RutgersDepartment of Surgical Oncology, Netherlands Cancer Institute, Amsterdam, the Netherlands.ORCID 0009-0008-4865-5248
Martine PiccartInstitut Jules Bordet & l'Université Libre de Bruxelles, Brussels, Belgium.ORCID 0000-0001-9068-8504
Laura Van 't VeerDepartment of Laboratory Medicine, UCSF Helen Diller Family Comprehensive Cancer Center, San Francisco, California.ORCID 0000-0002-9838-8298
Giuseppe VialeDivision of Pathology, IEO, European Institute of Oncology IRCCS, Milan, Italy.ORCID 0000-0003-1882-7068
Fatima CardosoBreast Unit, Champalimaud Clinical Center/Champalimaud Foundation, Lisbon, Portugal.ORCID 0000-0002-6692-2249

Funding

Breast Cancer Research Foundation (BCRF)
6 · The paper itself

Abstract

purposeInvasive lobular carcinoma (ILC) is the second most common subtype of breast cancer after invasive breast cancer of no special type (IBC-NST). This retrospective analysis of the MINDACT trial investigated transcriptomic differences between estrogen receptor (ER)-positive/HER2-negative ILC and ER+/HER2- IBC-NST; classic and nonclassic ER+/HER2- ILC; and recurring and nonrecurring ER+/HER2- ILC in patients with a low genomic risk and either a low clinical/low genomic (cL/gL) or high clinical/low genomic (cH/gL) risk. EXPERIMENTAL

designWe analyzed 4,262 ER+/HER2- tumors (63.7%; 464 ILC and 3,798 IBC-NST) with central pathology review. Differential gene expression analysis was adjusted for age and grade, followed by gene set enrichment analysis. Adjusted regression models evaluated associations of transcriptomic profiles with disease-free survival and distant recurrence-free survival.

resultsAn increased expression of CDH1 (E-cadherin) in IBC-NST compared with ILC was observed. ILC showed more uptake of extracellular lipid sources (LPL, CD36, LEP, and LEPR), whereas IBC-NST favored lipid synthesis (FASN). Decreased ER signaling, increased PI3K/Akt signaling, and differences related to the extracellular matrix were also observed in ILC. Classic and nonclassic ILC differed subtly, notably in cell-cycle regulation. In patients with ER+/HER2- ILC with a cL/gL risk, enrichment of apoptosis, inflammatory response, hypoxia, and oncogenic signaling (PI3K/Akt, Ras, and c-Myc) were associated with worse survival. In contrast, in the cH/gL group, associations between ILC transcriptomic features and survival were more subtle.

conclusionsThis represents the largest transcriptomic dataset for ILC from a clinical trial with central histology review. These findings may provide insights to refine treatment strategies and relapse risk assessment for patients with ILC.

Indexed as

Biomarkers, TumorBreast NeoplasmsCarcinoma, LobularNeoplasm Recurrence, LocalTranscriptomeAdultAgedAntigens, CDCadherinsErb-b2 Receptor Tyrosine KinasesFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMiddle AgedPrognosisAntigens, CDBiomarkers, TumorCadherinsCDH1 protein, humanERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesReceptors, Estrogen

Identifiers

PMID41995722
PMCPMC13430217

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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.