PO.CL01.23 · 临床研究
使用新型微滴数字PCR技术对循环肿瘤细胞进行经济高效的靶向DNA突变和基因表达变化分析
Cost-effective targeted DNA mutation and gene expression change profiling in circulating tumor cells using new Droplet Digital PCR technologies
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摘要 Abstract
中文摘要
引言:与传统组织活检相比,液体活检为癌症诊断和预后提供了一种侵入性更小的方法。在过去二十年中,血液中发现的片段化肿瘤来源DNA(ctDNA)已被广泛研究,并显示其含有肿瘤特异性基因突变和与非肿瘤cfDNA不同的片段模式,现在被用于监测癌症患者的分子状态。同样,循环肿瘤细胞(CTCs)最近已发展成为有前景的生物标志物,其在血液中的存在和数量已显示与疾病进展和复发潜力密切相关。虽然对CTCs的初步研究依赖于其蛋白标志物表达和计数,但最近在分子水平上的CTC研究揭示了乳腺癌中雌激素受体1(ESR1)的基因组突变,以及跨多种癌症的表皮生长因子基因(EGFR)突变。与ctDNA研究一起,检测CTCs中的突变和基因表达变化可为药物疗效评估和预后提供额外的见解。然而,CTCs的稀有性以及缺乏利用经济高效技术、适用于临床的流程化方案,构成了一个关键挑战。
方法:对于肺癌,制备了三种具有不同EGFR突变的非小细胞肺癌细胞系。对于乳腺癌,制备了一种上皮性乳腺癌细胞系(MCF7),分为有/无获得性他莫昔芬抵抗两种。每个CTC样本通过将癌细胞以最高100细胞/ml的浓度掺入总共7.5 ml的健康供体全血中来制备。Genesis细胞分离系统基于大小和可变形性高效捕获CTCs,随后将富集的CTCs使用SingleShot细胞裂解试剂盒进行处理,以同时提取DNA和RNA。提取的gDNA或总RNA分别用于使用ddPCR进行突变检测,或在cDNA合成后进行基因表达研究。为了确定捕获细胞基因组DNA中是否存在特定的EGFR/ESR1突变,使用针对EGFR/ESR1突变变体以及已知突变PIK3CA p.E542K和GATA3 p.D336fs*17的检测进行了微滴数字PCR。对于乳腺癌他莫昔芬抵抗后的基因表达变化,分别使用QX600或QX700进行了针对代表性靶基因的6/7重多重基因表达检测。
结果:使用Genesis系统和ddPCR的流程化联合方案有助于灵敏地检测CTCs中特定的基因组DNA突变以及药物处理后的基因表达变化。讨论与结论:ddPCR是一种经济高效的方法,可用于解锁血液中CTCs所携带的分子信息以进行液体活检。使用样本量更大的临床标本开展进一步研究将有助于所建议方案的临床应用。
查看英文原文 English abstract
Introduction: Liquid Biopsies provide a less invasive method for cancer diagnosis and prognosis when compared to conventional tissue biopsies. Over the past two decades, fragmented tumor derived DNA (ctDNA) found in blood has been studied extensively and shown to contain tumor-specific gene mutations and distinct fragment patterns compared to non-tumor cfDNA, which are now employed to monitor the molecular status of patients with cancer. Similarly, Circulating tumor cells (CTCs) have recently evolved as promising biomarkers whose existence and quantity in blood have shown a close correlation to disease progression and recurrence potential. While initial studies on CTCs relied on their protein marker expression and enumeration, recent CTC studies at the molecular level revealed genomic mutations in Estrogen receptor 1 (ESR1) for breast cancer, and epidermal growth factor gene (EGFR) across various cancers. Along with ctDNA studies, detection of mutations and gene expression changes in CTCs can offer additional insights into drug efficacy evaluations and prognosis. However, the rarity of CTCs and lack of streamlined protocols utilizing cost-effective technologies for clinics present a crucial challenge.
Methods: For lung cancer, three non-small cell lung cancer cell lines with different EGFR mutations were prepared. For breast cancer, one epithelial breast cancer cell line (MCF7) with/without acquired tamoxifen resistance was prepared. Each CTC sample was prepared by spiking cancer cells into a total of 7.5 ml of whole blood from healthy donor at a concentration of up to 100 cells/ml. The Genesis Cell Isolation System efficiently captured CTCs based on size and deformability and the enriched CTCs were subsequently processed for simultaneous DNA and RNA extraction using the SingleShot Cell Lysis Kit. Either extracted gDNA or total RNA was used for mutation detection using ddPCR or gene expression studies upon cDNA synthesis, respectively. To determine the presence of specific EGFR/ESR1 mutations within the genomic DNA of captured cells, Droplet Digital PCR was performed using assays for EGFR/ESR1 mutation variants as well as known mutations PIK3CA p.E542K and GATA3 p.D336fs*17. For gene expression changes in breast cancer upon tamoxifen resistance, 6/7-multiplex gene expression assays with targeted representative genes were performed using a QX600 or a QX700, respectively.
Results: The streamlined combined protocol using the Genesis System and ddPCR facilitated sensitive detection of specific genomic DNA mutations as well as gene expression changes in CTCs upon drug treatment.Discussion and
Conclusions: ddPCR is a cost-effective approach for unlocking molecular information carried by CTCs in blood for liquid biopsy. Further studies using clinical specimens with larger sample sizes would facilitate the clinical use of the suggested protocol.
利益披露 Disclosure
Y. Kang, None..
C. Shu, None..
A. Prantner, None..
N. Knapp, None.