Targeted next-generation sequencing identifies clinically relevant somatic mutations in a large cohort of inflammatory breast cancer

被引:52
|
作者
Liang, Xu [1 ,2 ]
Vacher, Sophie [2 ]
Boulai, Anais [2 ]
Bernard, Virginie [3 ]
Baulande, Sylvain [4 ]
Bohec, Mylene [4 ]
Bieche, Ivan [2 ,5 ]
Lerebours, Florence [6 ]
Callens, Celine [2 ]
机构
[1] Peking Univ, Canc Hosp & Inst, Key Lab Carcinogenesis & Translat Res, Minist Educ,Dept Brest Oncol, Beijing, Peoples R China
[2] PSL Res Univ, Inst Curie, Dept Genet, Pharmacogen Unit, 26 Rue Ulm, F-75005 Paris, France
[3] PSL Res Univ, Dept Biopathol, Inst Curie, Clin Bioinformat Unit, Paris, France
[4] PSL Res Univ, Inst Curie, Inst Curie Genom Excellence ICGex Platform, Paris, France
[5] Paris Descartes Univ, Sorbonne Paris Cite, Fac Pharmaceut & Biol Sci, EA7331, Paris, France
[6] Rene Huguenin Hosp, Inst Curie, Dept Med Oncol, St Cloud, France
来源
BREAST CANCER RESEARCH | 2018年 / 20卷
关键词
Inflammatory breast cancer; Targeted NGS; Somatic mutation; Prognosis; SURVIVAL; PIK3CA; IMMUNOTHERAPY; TRASTUZUMAB; MULTICENTER; DEFICIENCY; SUBGROUPS; PHENOTYPE; REVEALS; TUMORS;
D O I
10.1186/s13058-018-1007-x
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background: Inflammatory breast cancer (IBC) is the most aggressive form of primary breast cancer. Using a custom-made breast cancer gene sequencing panel, we investigated somatic mutations in IBC to better understand the genomic differences compared with non-IBC and to consider new targeted therapy in IBC patients. Methods: Targeted next-generation sequencing (NGS) of 91 candidate breast cancer-associated genes was performed on 156 fresh-frozen breast tumor tissues from IBC patients. Mutational profiles from 197 primary breast tumors from The Cancer Genome Atlas (TCGA) were used as non-IBC controls for comparison analysis. The mutational landscape of IBC was correlated with clinicopathological data and outcomes. Results: After genotype calling and algorithmic annotations, we identified 392 deleterious variants in IBC and 320 variants in non-IBC cohorts, respectively. IBC tumors harbored more mutations than non-IBC (2.5 per sample vs. 1.6 per sample, p < 0.0001). Eighteen mutated genes were significantly different between the two cohorts, namely TP53, CDH1, NOTCH2, MYH9, BRCA2, ERBB4, POLE, FGFR3, ROS1, NOTCH4, LAMA2, EGFR, BRCA1, TP53BP1, ESR1, THBS1, CASP8, and NOTCH1. In IBC, the most frequently mutated genes were TP53 (43.0%), PIK3CA (29.5%), MYH9 (8.3%), NOTCH2 (8.3%), BRCA2 (7.7%), ERBB4 (7.1%), FGFR3 (6.4%), POLE (6.4%), LAMA2 (5.8%), ARID1A (5.1%), NOTCH4 (5.1%), and ROS1 (5.1%). After grouping 91 genes on 10 signaling pathways, we found that the DNA repair pathway for the triple-negative breast cancer (TNBC) subgroup, the RTK/RAS/MAPK and cell cycle pathways for the HR-/HER2(+) subgroup, the DNA repair, RTK/RAS/MAPK, and NOTCH pathways for the HR+/HER2(-) subgroup, and the DNA repair, epigenome, and diverse pathways for the HR+/HER2(+) subgroup were all significantly differently altered between IBC and non-IBC. PIK3CA mutation was independently associated with worse metastasis-free survival (MFS) in IBC since the median MFS for the PIK3CA mutant type was 26.0 months and for the PIK3CA wild type was 101.1 months (p = 0.002). This association was observed in TNBC (p = 0.04) and the HR-/HER2(+) subgroups (p = 0.0003), but not in the HR+/HER2(-) subgroup of IBC. Conclusions: Breast cancer-specific targeted NGS uncovered a high frequency of deleterious somatic mutations in IBC, some of which may be relevant for clinical management.
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页数:12
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