Kumar Sunil, Lindsay Daniel, Chen Q Brent, Garrett Amy L, Tan Xianming M, Anders Carey K, Carey Lisa A, Gupta Gaorav P
1Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC USA.
2Department of Radiation Oncology, University of North Carolina, Chapel Hill, NC USA.
NPJ Breast Cancer. 2018 Dec 5;4:39. doi: 10.1038/s41523-018-0093-3. eCollection 2018.
Serial monitoring of plasma DNA mutations in estrogen receptor positive metastatic breast cancer (ER + MBC) holds promise as an early predictor of therapeutic response. Here, we developed dPCR-SEQ, a customized assay that utilizes digital PCR-based target enrichment followed by next-generation sequencing to analyze plasma DNA mutations in , , and . We validated dPCR-SEQ in a prospective cohort of 58 patients with ER + MBC and demonstrate excellent concordance with hotspot mutation abundance measured by conventional digital PCR. The dPCR-SEQ assay revealed , , and plasma ctDNA mutations in 55%, 32%, and 32% of the study patients, respectively. We also observed dynamic changes in , , and ctDNA mutant allele fraction (MAF) that were frequently discordant between the different genes. Thus, monitoring plasma DNA mutation dynamics using a dPCR-SEQ assay is feasible, accurate, and may be investigated as a biomarker of therapeutic response in ER + MBC.
对雌激素受体阳性转移性乳腺癌(ER+MBC)患者的血浆DNA突变进行连续监测有望成为治疗反应的早期预测指标。在此,我们开发了dPCR-SEQ,这是一种定制检测方法,它利用基于数字PCR的靶标富集技术,随后进行下一代测序,以分析ER+MBC患者中的、和的血浆DNA突变。我们在一个由58例ER+MBC患者组成的前瞻性队列中验证了dPCR-SEQ,并证明其与通过传统数字PCR测量的热点突变丰度具有高度一致性。dPCR-SEQ检测分别在55%、32%和32%的研究患者中检测到、和的血浆ctDNA突变。我们还观察到、和的ctDNA突变等位基因分数(MAF)的动态变化,这些变化在不同基因之间经常不一致。因此,使用dPCR-SEQ检测监测血浆DNA突变动态是可行、准确的,并且可以作为ER+MBC治疗反应的生物标志物进行研究。