Comprehensive genomic sequencing and the molecular profiles of clinically advanced breast cancer

被引:14
|
作者
Ross, Jeffrey S. [1 ,2 ]
Gay, Laurie M. [1 ]
机构
[1] Fdn Med Inc, 150 Second St, Cambridge, MA 02141 USA
[2] Albany Med Coll, Albany, NY 12208 USA
关键词
Next-generation sequencing; comprehensive genomic profiling; breast carcinoma; ERBB2; HER2; triple-negative breast cancer; tumour mutational burden; clinically relevant genomic alterations; ANALOG SECRETORY CARCINOMA; HIGH-FREQUENCY; PRECISION MEDICINE; ESR1; MUTATIONS; GENE FUSIONS; TRASTUZUMAB RESISTANCE; CHECKPOINT INHIBITORS; PERSONALIZED MEDICINE; ENDOCRINE RESISTANCE; THERAPEUTIC TARGETS;
D O I
10.1016/j.pathol.2016.11.005
中图分类号
R36 [病理学];
学科分类号
100104 ;
摘要
Targeting specific mutations that have arisen within a tumour is a promising means of increasing the efficacy of treatments, and breast cancer is no exception to this new paradigm of personalised medicine. Traditional DNA sequencing methods used to characterise clinical cancer specimens and impact treatment decisions are highly sensitive, but are often limited in their scope to known mutational hot spots. Next-generation sequencing (NGS) technologies can also test for these well-known hot spots, as well as identifying insertions and deletions, copy number changes such as ERBB2 (HER2) gene amplification, and a wide array of fusion or rearrangement events. By rapidly analysing many genes in parallel, NGS technologies can make efficient use of precious biopsy material. Comprehensive genomic profiling (CGP) by NGS can reveal targetable, clinically relevant genomic alterations that can stratify tumours by predicted sensitivity to a variety of therapies, including HER2-or MTOR-targeted therapies, immunotherapies, and other kinase inhibitors. Many clinically relevant genomic alterations would not be identified by IHC or hotspot testing, but can be detected by NGS. In addition to the most common breast carcinoma subtypes, rare subtypes analysed with CGP also harbour clinically relevant genomic alterations that can potentially direct therapy selection, illustrating that CGP is a powerful tool for guiding treatment across all breast cancer subtypes.
引用
收藏
页码:120 / 132
页数:13
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