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基于排除法的分析物分离实现循环肿瘤细胞多种生物标志物的综合分析

Integrated Analysis of Multiple Biomarkers from Circulating Tumor Cells Enabled by Exclusion-Based Analyte Isolation.

作者信息

Sperger Jamie M, Strotman Lindsay N, Welsh Allison, Casavant Benjamin P, Chalmers Zachery, Horn Sacha, Heninger Erika, Thiede Stephanie M, Tokar Jacob, Gibbs Benjamin K, Guckenberger David J, Carmichael Lakeesha, Dehm Scott M, Stephens Philip J, Beebe David J, Berry Scott M, Lang Joshua M

机构信息

Department of Medicine, University of Wisconsin-Madison, Madison, Wisconsin.

Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, Wisconsin.

出版信息

Clin Cancer Res. 2017 Feb;23(3):746-756. doi: 10.1158/1078-0432.CCR-16-1021. Epub 2016 Jul 11.

Abstract

PURPOSE

There is a critical clinical need for new predictive and pharmacodynamic biomarkers that evaluate pathway activity in patients treated with targeted therapies. A microscale platform known as VERSA (versatile exclusion-based rare sample analysis) was developed to integrate readouts across protein, mRNA, and DNA in circulating tumor cells (CTC) for a comprehensive analysis of the androgen receptor (AR) signaling pathway.

EXPERIMENTAL DESIGN

Utilizing exclusion-based sample preparation principles, a handheld chip was developed to perform CTC capture, enumeration, quantification, and subcellular localization of proteins and extraction of mRNA and DNA. This technology was validated across integrated endpoints in cell lines and a cohort of patients with castrate-resistant prostate cancer (CRPC) treated with AR-targeted therapies and chemotherapies.

RESULTS

The VERSA was validated in cell lines to analyze AR protein expression, nuclear localization, and gene expression targets. When applied to a cohort of patients, radiographic progression was predicted by the presence of multiple AR splice variants and activity in the canonical AR signaling pathway. AR protein expression and nuclear localization identified phenotypic heterogeneity. Next-generation sequencing with the FoundationOne panel detected copy number changes and point mutations. Longitudinal analysis of CTCs identified acquisition of multiple AR variants during targeted treatments and chemotherapy.

CONCLUSIONS

Complex mechanisms of resistance to AR-targeted therapies, across RNA, DNA, and protein endpoints, exist in patients with CRPC and can be quantified in CTCs. Interrogation of the AR signaling pathway revealed distinct patterns relevant to tumor progression and can serve as pharmacodynamic biomarkers for targeted therapies. Clin Cancer Res; 1-11. ©2016 AACR.

摘要

目的

对于评估接受靶向治疗患者的通路活性而言,新型预测性和药效学生物标志物存在着至关重要的临床需求。开发了一种名为VERSA(基于排阻的通用稀有样本分析)的微尺度平台,以整合循环肿瘤细胞(CTC)中蛋白质、mRNA和DNA的读数,从而对雄激素受体(AR)信号通路进行全面分析。

实验设计

利用基于排阻的样本制备原理,开发了一种手持式芯片,用于进行CTC捕获、计数、定量以及蛋白质的亚细胞定位,同时提取mRNA和DNA。该技术在细胞系以及一组接受AR靶向治疗和化疗的去势抵抗性前列腺癌(CRPC)患者的综合终点上得到了验证。

结果

VERSA在细胞系中得到验证,可用于分析AR蛋白表达、核定位以及基因表达靶点。应用于一组患者时,多个AR剪接变体的存在以及经典AR信号通路中的活性可预测影像学进展。AR蛋白表达和核定位确定了表型异质性。使用FoundationOne面板进行的二代测序检测到拷贝数变化和点突变。对CTC的纵向分析确定了在靶向治疗和化疗期间多个AR变体的获得情况。

结论

CRPC患者中存在针对AR靶向治疗的复杂耐药机制,涉及RNA、DNA和蛋白质终点,并且可以在CTC中进行定量。对AR信号通路的研究揭示了与肿瘤进展相关的不同模式,可作为靶向治疗的药效学生物标志物。《临床癌症研究》;1 - 11。©2016美国癌症研究协会。

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