Ross Jeffrey S, Gay Laurie M
Foundation Medicine, Inc., Cambridge, MA, United States; Albany Medical College Albany, NY, United States.
Foundation Medicine, Inc., Cambridge, MA, United States.
Pathology. 2017 Feb;49(2):120-132. doi: 10.1016/j.pathol.2016.11.005. Epub 2016 Dec 26.
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.
针对肿瘤内出现的特定突变是提高治疗效果的一种有前景的方法,乳腺癌也不例外于这种个性化医疗的新范式。用于表征临床癌症标本并影响治疗决策的传统DNA测序方法高度灵敏,但通常局限于已知的突变热点范围。新一代测序(NGS)技术不仅可以检测这些众所周知的热点,还能识别插入和缺失、拷贝数变化(如ERBB2(HER2)基因扩增)以及各种各样的融合或重排事件。通过并行快速分析多个基因,NGS技术可以有效利用珍贵的活检材料。通过NGS进行的全面基因组分析(CGP)可以揭示可靶向的、临床相关的基因组改变,这些改变可以根据对多种疗法(包括HER2靶向疗法、MTOR靶向疗法、免疫疗法和其他激酶抑制剂)的预测敏感性对肿瘤进行分层。许多临床相关的基因组改变无法通过免疫组化(IHC)或热点检测来识别,但可以通过NGS检测到。除了最常见的乳腺癌亚型外,用CGP分析的罕见亚型也存在可能指导治疗选择的临床相关基因组改变,这表明CGP是指导所有乳腺癌亚型治疗的有力工具。