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Genomic characterization of metastatic breast cancers.
Bertucci, François; Ng, Charlotte K Y; Patsouris, Anne; Droin, Nathalie; Piscuoglio, Salvatore; Carbuccia, Nadine; Soria, Jean Charles; Dien, Alicia Tran; Adnani, Yahia; Kamal, Maud; Garnier, Séverine; Meurice, Guillaume; Jimenez, Marta; Dogan, Semih; Verret, Benjamin; Chaffanet, Max; Bachelot, Thomas; Campone, Mario; Lefeuvre, Claudia; Bonnefoi, Herve; Dalenc, Florence; Jacquet, Alexandra; De Filippo, Maria R; Babbar, Naveen; Birnbaum, Daniel; Filleron, Thomas; Le Tourneau, Christophe; André, Fabrice.
Affiliation
  • Bertucci F; CRCM, Predictive Oncology team, Inserm, Aix-Marseille Univ, CNRS, Institut Paoli-Calmettes, Marseille, France.
  • Ng CKY; Institute of Pathology, University Hospital Basel, Basel, Switzerland.
  • Patsouris A; Clarunis, Department of Biomedicine, University of Basel, Basel, Switzerland.
  • Droin N; Department for BioMedical Research, University of Bern, Bern, Switzerland.
  • Piscuoglio S; Inserm, U1232, Nantes, France.
  • Carbuccia N; Institut de Cancérologie de l'Ouest - René Gauducheau, Saint Herblain, France.
  • Soria JC; Genomic Core Facility UMS AMMICA Gustave Roussy Cancer Campus, Villejuif, France.
  • Dien AT; INSERM, US23, Villejuif, France.
  • Adnani Y; CNRS, UMS3665, Villejuif, France.
  • Kamal M; Institute of Pathology, University Hospital Basel, Basel, Switzerland.
  • Garnier S; Clarunis, Department of Biomedicine, University of Basel, Basel, Switzerland.
  • Meurice G; CRCM, Predictive Oncology team, Inserm, Aix-Marseille Univ, CNRS, Institut Paoli-Calmettes, Marseille, France.
  • Jimenez M; Université Paris Sud, Orsay, France.
  • Dogan S; Drug Development Department (DITEP), Gustave Roussy Cancer Campus, Villejuif, France.
  • Verret B; Bioinformatics Core Facility, Gustave Roussy Cancer Campus, Villejuif, France.
  • Chaffanet M; Bioinformatics Core Facility, Gustave Roussy Cancer Campus, Villejuif, France.
  • Bachelot T; Department of Translational Research, Institut Curie, Saint-Cloud, France.
  • Campone M; CRCM, Predictive Oncology team, Inserm, Aix-Marseille Univ, CNRS, Institut Paoli-Calmettes, Marseille, France.
  • Lefeuvre C; Bioinformatics Core Facility, Gustave Roussy Cancer Campus, Villejuif, France.
  • Bonnefoi H; Unicancer, Paris, France.
  • Dalenc F; Inserm, Gustave Roussy Cancer Campus, UMR981, Villejuif, France.
  • Jacquet A; Inserm, Gustave Roussy Cancer Campus, UMR981, Villejuif, France.
  • De Filippo MR; CRCM, Predictive Oncology team, Inserm, Aix-Marseille Univ, CNRS, Institut Paoli-Calmettes, Marseille, France.
  • Babbar N; Centre Léon Bérard, Lyon, France.
  • Birnbaum D; Inserm, U1232, Nantes, France.
  • Filleron T; Institut de Cancérologie de l'Ouest - René Gauducheau, Saint Herblain, France.
  • Le Tourneau C; Centre Eugène Marquis, Rennes, France.
  • André F; Institut Bergonié, Bordeaux, France.
Nature ; 569(7757): 560-564, 2019 05.
Article in En | MEDLINE | ID: mdl-31118521
ABSTRACT
Metastasis is the main cause of death for patients with breast cancer. Many studies have characterized the genomic landscape of breast cancer during its early stages. However, there is evidence that genomic alterations are acquired during the evolution of cancers from their early to late stages, and that the genomic landscape of early cancers is not representative of that of lethal cancers1-7. Here we investigated the landscape of somatic alterations in 617 metastatic breast cancers. Nine driver genes (TP53, ESR1, GATA3, KMT2C, NCOR1, AKT1, NF1, RIC8A and RB1) were more frequently mutated in metastatic breast cancers that expressed hormone receptors (oestrogen and/or progesterone receptors; HR+) but did not have high levels of HER2 (HER2-; n = 381), when compared to early breast cancers from The Cancer Genome Atlas. In addition, 18 amplicons were more frequently observed in HR+/HER2- metastatic breast cancers. These cancers showed an increase in mutational signatures S2, S3, S10, S13 and S17. Among the gene alterations that were enriched in HR+/HER2- metastatic breast cancers, mutations in TP53, RB1 and NF1, together with S10, S13 and S17, were associated with poor outcome. Metastatic triple-negative breast cancers showed an increase in the frequency of somatic biallelic loss-of-function mutations in genes related to homologous recombination DNA repair, compared to early triple-negative breast cancers (7% versus 2%). Finally, metastatic breast cancers showed an increase in mutational burden and clonal diversity compared to early breast cancers. Thus, the genomic landscape of metastatic breast cancer is enriched in clinically relevant genomic alterations and is more complex than that of early breast cancer. The identification of genomic alterations associated with poor outcome will allow earlier and better selection of patients who require the use of treatments that are still in clinical trials. The genetic complexity observed in advanced breast cancer suggests that such treatments should be introduced as early as possible in the disease course.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms / Genome, Human / Evolution, Molecular / Genomics / Mutation / Neoplasm Metastasis Limits: Female / Humans / Male Language: En Journal: Nature Year: 2019 Type: Article Affiliation country: France

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms / Genome, Human / Evolution, Molecular / Genomics / Mutation / Neoplasm Metastasis Limits: Female / Humans / Male Language: En Journal: Nature Year: 2019 Type: Article Affiliation country: France