Evidence map›Paper›PMID 31854063›Full record

ArticleMolecular oncology2020

NOTCH and DNA repair pathways are more frequently targeted by genomic alterations in inflammatory than in non-inflammatory breast cancers.

François Bertucci, Charlotte Rypens, Pascal Finetti, Arnaud Guille, José Adélaïde, Audrey Monneur, Nadine Carbuccia, Séverine Garnier, Piet Dirix, Anthony Gonçalves and 10 more

Open access · goldAbstract read
In one paragraph

Article in Molecular oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

22 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
  2. Clinicogenomic Characterization of Inflammatory Breast Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
    Article
  3. Review
  4. Article
  5. Article
  6. Mutational landscape of inflammatory breast cancer.Journal of translational medicine · 2024
    Article
  7. Article
  8. Article
  9. Frontiers in oncology · 2023
    Article
  10. Article
  11. Article
  12. American journal of cancer research · 2022
    Article
  13. Article
  14. Article
  15. Article
  16. New Treatment Strategies for the Inflammatory Breast Cancer.Current treatment options in oncology · 2021
    Review
  17. Observational
  18. Article
  19. Article
  20. Review
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 at 5 institutions in 3 countries.

François BertucciLaboratoire d'Oncologie Prédictive, Centre de Recherche en Cancérologie de Marseille (CRCM), Inserm, U1068, CNRS UMR7258, Institut Paoli-Calmettes, Aix-Marseille Université, France.ORCID 0000-0002-0157-0959
Charlotte RypensTranslational Cancer Research Unit and Center for Oncological Research (CORE), Faculty of Medicine and Health Sciences, GZA Hospitals Sint-Augustinus and University of Antwerp Wilrijk, Antwerp, Belgium.
Pascal FinettiLaboratoire d'Oncologie Prédictive, Centre de Recherche en Cancérologie de Marseille (CRCM), Inserm, U1068, CNRS UMR7258, Institut Paoli-Calmettes, Aix-Marseille Université, France.
Arnaud GuilleLaboratoire d'Oncologie Prédictive, Centre de Recherche en Cancérologie de Marseille (CRCM), Inserm, U1068, CNRS UMR7258, Institut Paoli-Calmettes, Aix-Marseille Université, France.
José AdélaïdeLaboratoire d'Oncologie Prédictive, Centre de Recherche en Cancérologie de Marseille (CRCM), Inserm, U1068, CNRS UMR7258, Institut Paoli-Calmettes, Aix-Marseille Université, France.
Audrey MonneurDépartement d'Oncologie Médicale, Institut Paoli-Calmettes, Marseille, France.
Nadine CarbucciaLaboratoire d'Oncologie Prédictive, Centre de Recherche en Cancérologie de Marseille (CRCM), Inserm, U1068, CNRS UMR7258, Institut Paoli-Calmettes, Aix-Marseille Université, France.
Séverine GarnierLaboratoire d'Oncologie Prédictive, Centre de Recherche en Cancérologie de Marseille (CRCM), Inserm, U1068, CNRS UMR7258, Institut Paoli-Calmettes, Aix-Marseille Université, France.
Piet DirixTranslational Cancer Research Unit and Center for Oncological Research (CORE), Faculty of Medicine and Health Sciences, GZA Hospitals Sint-Augustinus and University of Antwerp Wilrijk, Antwerp, Belgium.
Anthony GonçalvesLaboratoire d'Oncologie Prédictive, Centre de Recherche en Cancérologie de Marseille (CRCM), Inserm, U1068, CNRS UMR7258, Institut Paoli-Calmettes, Aix-Marseille Université, France.
Peter VermeulenTranslational Cancer Research Unit and Center for Oncological Research (CORE), Faculty of Medicine and Health Sciences, GZA Hospitals Sint-Augustinus and University of Antwerp Wilrijk, Antwerp, Belgium.
Bisrat G DebebMD Anderson Morgan Welch Inflammatory Breast Cancer Research Program and Clinic, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Xiaoping WangMD Anderson Morgan Welch Inflammatory Breast Cancer Research Program and Clinic, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Luc DirixTranslational Cancer Research Unit and Center for Oncological Research (CORE), Faculty of Medicine and Health Sciences, GZA Hospitals Sint-Augustinus and University of Antwerp Wilrijk, Antwerp, Belgium.
Naoto T UenoMD Anderson Morgan Welch Inflammatory Breast Cancer Research Program and Clinic, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Patrice ViensDépartement d'Oncologie Médicale, Institut Paoli-Calmettes, Marseille, France.
Massimo CristofanilliDivision of Hematology and Oncology, Robert H Lurie Comprehensive Cancer Center, Northwestern University, Chicago, IL, USA.
Max ChaffanetLaboratoire d'Oncologie Prédictive, Centre de Recherche en Cancérologie de Marseille (CRCM), Inserm, U1068, CNRS UMR7258, Institut Paoli-Calmettes, Aix-Marseille Université, France.
Daniel BirnbaumLaboratoire d'Oncologie Prédictive, Centre de Recherche en Cancérologie de Marseille (CRCM), Inserm, U1068, CNRS UMR7258, Institut Paoli-Calmettes, Aix-Marseille Université, France.
Steven Van LaereTranslational Cancer Research Unit and Center for Oncological Research (CORE), Faculty of Medicine and Health Sciences, GZA Hospitals Sint-Augustinus and University of Antwerp Wilrijk, Antwerp, Belgium.
Centre National de la Recherche Scientifique · FRUniversity of Antwerp · BEThe University of Texas MD Anderson Cancer Center · USInstitut Pprime · FRNorthwestern University · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Fabien Delerue · 1985 to 2026
$290.8M
NCI NIH HHS P30 CA016672
6 · The paper itself

Abstract

Inflammatory breast cancer (IBC) is the most pro-metastatic form of breast cancer. Better understanding of its pathophysiology and identification of actionable genetic alterations (AGAs) are crucial to improve systemic treatment. We aimed to define the DNA profiles of IBC vs noninflammatory breast cancer (non-IBC) clinical samples in terms of copy number alterations (CNAs), mutations, and AGAs. We applied targeted next-generation sequencing (tNGS) and array-comparative genomic hybridization (aCGH) to 57 IBC and 50 non-IBC samples and pooled these data with four public datasets profiled using NGS and aCGH, leading to a total of 101 IBC and 2351 non-IBC untreated primary tumors. The respective percentages of each molecular subtype [hormone receptor-positive (HR+)/HER2-, HER2+, and triple-negative] were 68%, 15%, and 17% in non-IBC vs 25%, 35%, and 40% in IBC. The comparisons were adjusted for both the molecular subtypes and the American Joint Committee on Cancer (AJCC) stage. The 10 most frequently altered genes in IBCs were TP53 (63%), HER2/ERBB2 (30%), MYC (27%), PIK3CA (21%), BRCA2 (14%), CCND1 (13%), GATA3 (13%), NOTCH1 (12%), FGFR1 (11%), and ARID1A (10%). The tumor mutational burden was higher in IBC than in non-IBC. We identified 96 genes with an alteration frequency (p < 5% and q < 20%) different between IBC and non-IBC, independently from the molecular subtypes and AJCC stage; 95 were more frequently altered in IBC, including TP53, genes involved in the DNA repair (BRCA2) and NOTCH pathways, and one (PIK3CA) was more frequently altered in non-IBC. Ninety-seven percent of IBCs displayed at least one AGA. This percentage was higher than in non-IBC (87%), notably for drugs targeting DNA repair, NOTCH signaling, and CDK4/6, whose pathways were more frequently altered (DNA repair) or activated (NOTCH and CDK4/6) in IBC than in non-IBC. The genomic landscape of IBC is different from that of non-IBC. Enriched AGAs in IBC may explain its aggressiveness and provide clinically relevant targets.

Indexed as

AdultAgedAged, 80 and overBiomarkers, TumorBRCA2 ProteinBreast NeoplasmsComparative Genomic HybridizationCyclin-Dependent Kinase 4Cyclin-Dependent Kinase 6DNA Copy Number VariationsDNA RepairErb-b2 Receptor Tyrosine KinasesFemaleGenomicsHigh-Throughput Nucleotide SequencingHumansBiomarkers, TumorBRCA2 ProteinBRCA2 protein, humanCDK4 protein, humanCDK6 protein, humanCyclin-Dependent Kinase 4Cyclin-Dependent Kinase 6ERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesNOTCH4 protein, humanReceptor, Notch4Receptors, Estrogencopy number profilingDNA repairinflammatory breast cancerNOTCHsequencingtargeted therapy

Identifiers

PMID31854063
PMCPMC7053236
OpenAlexW2995668563

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Registered trials

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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.