BRCA1‐like signature in triple negative breast cancer: Molecular and clinical characterization reveals subgroups with therapeutic potential

نویسندگان

  • Tesa M. Severson
  • Justine Peeters
  • Ian Majewski
  • Magali Michaut
  • Astrid Bosma
  • Philip C. Schouten
  • Suet-Feung Chin
  • Bernard Pereira
  • Mae A. Goldgraben
  • Tycho Bismeijer
  • Roelof J.C. Kluin
  • Jettie J.F. Muris
  • Karin Jirström
  • Ron M. Kerkhoven
  • Lodewyk Wessels
  • Carlos Caldas
  • René Bernards
  • Iris M. Simon
  • Sabine Linn
چکیده

Triple negative (TN) breast cancers make up some 15% of all breast cancers. Approximately 10-15% are mutant for the tumor suppressor, BRCA1. BRCA1 is required for homologous recombination-mediated DNA repair and deficiency results in genomic instability. BRCA1-mutated tumors have a specific pattern of genomic copy number aberrations that can be used to classify tumors as BRCA1-like or non-BRCA1-like. BRCA1 mutation, promoter methylation, BRCA1-like status and genome-wide expression data was determined for 112 TN breast cancer samples with long-term follow-up. Mutation status for 21 known DNA repair genes and PIK3CA was assessed. Gene expression and mutation frequency in BRCA1-like and non-BRCA1-like tumors were compared. Multivariate survival analysis was performed using the Cox proportional hazards model. BRCA1 germline mutation was identified in 10% of patients and 15% of tumors were BRCA1 promoter methylated. Fifty-five percent of tumors classified as BRCA1-like. The functions of genes significantly up-regulated in BRCA1-like tumors included cell cycle and DNA recombination and repair. TP53 was found to be frequently mutated in BRCA1-like (P < 0.05), while PIK3CA was frequently mutated in non-BRCA1-like tumors (P < 0.05). A significant association with worse prognosis was evident for patients with BRCA1-like tumors (adjusted HR = 3.32, 95% CI = 1.30-8.48, P = 0.01). TN tumors can be further divided into two major subgroups, BRCA1-like and non-BRCA1-like with different mutation and expression patterns and prognoses. Based on these molecular patterns, subgroups may be more sensitive to specific targeted agents such as PI3K or PARP inhibitors.

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عنوان ژورنال:

دوره 9  شماره 

صفحات  -

تاریخ انتشار 2015