Objectives: The advent of next-generation sequencing (NGS) platforms in the realm of clinical molecular diagnostics provides multigene mutational profiling through massively parallel sequencing.
Methods: We analyzed 415 breast carcinoma samples from 354 patients using NGS in known hotspots of 46 commonly known cancer-causing genes.
Results: A total of 281 somatic nonsynonymous mutations were detected in 62.1% of patients. TP53 was most frequently mutated (38.8%), followed by PIK3CA (31.7%), AKT1 (6%), and ATM (3.9%), with other mutations detected at a lower frequency. When stratified into clinically relevant therapeutic groups (estrogen receptor [ER]/progesterone receptor [PR]+ human epidermal growth factor receptor 2 [HER2]-, ER/PR+HER2+, ER/PR-HER2+, ER/PR/HER2-), each group showed distinct mutational profiles. The ER/PR+HER2- tumors (n = 132) showed the highest frequency of PIK3CA mutations (38%), while the triple-negative tumors (n = 64) had a significantly higher number of TP53 mutations (62%). Of the 61 patients tested for both primary and metastatic tumors, concordant results were seen in 47 (77%) patients, while 13 patients showed additional mutations in the metastasis.
Conclusions: Our results indicate that breast cancers may harbor potentially actionable mutations for targeted therapeutics. Therefore, NGS-based mutational profiling can provide useful information that can guide targeted cancer therapy.
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