Curtis Christina
Departments of Medicine and Genetics, Stanford University School of Medicine and Stanford Cancer Institute, Stanford, California, USA.
Curr Opin Obstet Gynecol. 2015 Feb;27(1):34-9. doi: 10.1097/GCO.0000000000000145.
To describe recent advances in the application of advanced genomic technologies towards the identification of biomarkers of prognosis and treatment response in breast cancer.
Advances in high-throughput genomic profiling such as massively parallel sequencing have enabled researchers to catalogue the spectrum of somatic alterations in breast cancers. These tools also hold promise for precision medicine through accurate patient prognostication, stratification, and the dynamic monitoring of treatment response. For example, recent efforts have defined robust molecular subgroups of breast cancer and novel subtype-specific oncogenes. In addition, previously unappreciated activating mutations in human epidermal growth factor receptor 2 have been reported, suggesting new therapeutic opportunities. Genomic profiling of cell-free tumor DNA and circulating tumor cells has been used to monitor disease burden and the emergence of resistance, and such 'liquid biopsy' approaches may facilitate the early, noninvasive detection of aggressive disease. Finally, single-cell genomics is coming of age and will contribute to an understanding of breast cancer evolutionary dynamics.
Here, we highlight recent studies that employ high-throughput genomic technologies in an effort to elucidate breast cancer biology, discover new therapeutic targets, improve prognostication and stratification, and discuss the implications for precision cancer medicine.
描述先进基因组技术在乳腺癌预后和治疗反应生物标志物识别中的应用进展。
高通量基因组分析技术(如大规模平行测序)的进展使研究人员能够对乳腺癌体细胞改变的谱进行编目。这些工具还通过准确的患者预后预测、分层以及治疗反应的动态监测,为精准医学带来希望。例如,最近的研究确定了乳腺癌强大的分子亚群和新的亚型特异性致癌基因。此外,已报道了人类表皮生长因子受体2中以前未被认识的激活突变,提示了新的治疗机会。游离肿瘤DNA和循环肿瘤细胞的基因组分析已用于监测疾病负担和耐药性的出现,这种“液体活检”方法可能有助于早期、非侵入性地检测侵袭性疾病。最后,单细胞基因组学正在兴起,并将有助于理解乳腺癌的进化动态。
在此,我们重点介绍了最近利用高通量基因组技术阐明乳腺癌生物学、发现新治疗靶点、改善预后和分层的研究,并讨论了其对精准癌症医学的意义。