PO.CL01.05 · 临床研究
基于CTC的生物标志物检测方法开发与工作流程优化,用于预测HR+/HER2-乳腺癌对CDK4/6抑制剂的应答
Method development and workflow optimization of a CTC-based biomarker assay to predict response to CDK4/6 inhibitors in HR+/HER2- breast cancer
作者与单位 Authors & Affiliations
摘要 Abstract
中文摘要
引言:CDK4/6抑制剂(CDK4/6i)是激素受体阳性/HER2阴性乳腺癌(HR+/HER2- BC)的标准治疗。然而耐药常见,且常以视网膜母细胞瘤(Rb)蛋白的缺失或功能障碍或其磷酸化的抑制不足为特征。循环肿瘤细胞(CTC)提供了监测肿瘤生物学的微创手段。在此,我们描述了一种多重免疫荧光(mIF)检测的分析性能,该检测整合了图像分析流程以定量CTC上的Rb和磷酸化Rb(pRb)表达,并通过微流控CTC分离平台CTCeptor评估细胞回收效率。
方法:mIF检测使用针对Rb(AF595)、pRb(AF488)、细胞角蛋白(CK,AF647)和CD45(AF555)的抗体,并用DAPI进行核染色。使用单标记染色和同型对照验证了抗体特异性和最小的非特异性结合。使用阳性(MCF7、T47D)和阴性(T47D-PalboR、MDA-MB-468或白细胞)对照细胞系评估检测性能(敏感性、特异性、信噪比(SNR)和动态范围)。将健康供者白细胞与对照细胞系加标混合,以模拟患者来源的基质。比较了各种封闭缓冲液、洗涤缓冲液和细胞附着方法。使用CTCeptor处理加标MCF7细胞的血液后,在HyPICC腔室中用抗CK-AF647、抗CD45-AF555和DAPI染色评估细胞回收。成像在Leica STED SP8或Nikon N-STORM显微镜上进行。使用FIJI进行平均荧光强度(MFI)的定量分析,使用GraphPad Prism v10进行统计分析。
结果:优化后的mIF结合整合图像分析流程显示出高分析敏感性(Rb:84%,pRb:83%)和特异性(Rb:96%,pRb:100%)。Rb的SNR为5,pRb为50,两种标志物的动态范围均超过两个对数单位。单标记染色和同型对照确认了抗体特异性和最小的非特异性结合。基于比较分析,选择1% BSA + 0.5%山羊血清作为封闭缓冲液,基于Triton的缓冲液作为洗涤缓冲液。RareCyte®细胞附着方法产生了更优的细胞保留率(79%)。使用CTCeptor处理加标MCF7细胞的血液后在HyPICC腔室中染色的回收率范围为40-60%。
结论:我们已开发并优化了一种定量mIF检测和图像分析工作流程,用于检测CTC上的Rb和pRb表达。未来研究将通过测量转移性HR+/HER2- BC患者CDK4/6i治疗前后CTC上的Rb和pRb动态,评估该检测作为预测性生物标志物的效用。
致谢:本研究由CPRIT(RP210148)和NCATS CTSA试点基金(1UM1TR004539-01A1)资助。
查看英文原文 English abstract
Introduction: CDK4/6 inhibitors (CDK4/6i) are the standard of care for hormone receptor-positive/HER2-negative breast cancer (HR+/HER2- BC). Yet resistance is common and often characterized by loss or dysfunction of the Retinoblastoma (Rb) protein or inadequate suppression of its phosphorylation. Circulating tumor cells (CTCs) offer minimally invasive means to monitor tumor biology. Here, we describe the analytical performance of a multiplex immunofluorescence (mIF) assay integrated with an image-analysis pipeline to quantify Rb and phospho-Rb (pRb) expression on CTCs and evaluation of cell recovery efficiency by CTCeptor, a microfluidic CTC isolation platform.
Methods: The mIF assay utilized antibodies against Rb (AF595), pRb (AF488), cytokeratin (CK, AF647), and CD45 (AF555), with DAPI for nuclear staining. Antibody specificity and minimal non-specific binding were verified using single-marker staining and isotype controls. Assay performance (sensitivity, specificity, signal-to-noise ratio (SNR), and dynamic range) was evaluated using positive (MCF7, T47D) and negative (T47D-PalboR, MDA-MB-468, or leukocytes) control cell lines. Healthy donor leukocytes were spiked with control cell lines to simulate patient-derived matrices. Various blocking buffers, wash buffers, and cell attachment methods were compared. Cell recovery was evaluated after processing blood spiked with MCF7 cells using CTCeptor followed by staining with anti-CK-AF647, anti-CD45-AF555, and DAPI in HyPICC chamber. Imaging was performed on Leica STED SP8 or Nikon N-STORM microscopes. Quantitative analysis of mean fluorescence intensity (MFI) was conducted using FIJI, and statistical analysis was performed using GraphPad Prism v10.
Results: The optimized mIF with integrated image analysis pipeline demonstrated high analytical sensitivity (Rb: 84%, pRb: 83%) and specificity (Rb: 96%, pRb: 100%). SNRs were 5 for Rb and 50 for pRb, with dynamic range exceeding two log units for both markers. Single-marker staining and isotype controls confirmed antibody specificity and minimal non-specific binding. Based on comparative analyses, 1% BSA + 0.5% goat serum was selected as the blocking buffer, and Triton-based buffer as the wash buffer. RareCyte® cell attachment method yielded superior cell retention (79%). Recovery rate after processing the spiked blood with MCF7 cells using CTCeptor followed by staining in HyPICC chamber ranged from 40-60%.
Conclusion: We have developed and optimized a quantitative mIF assay and image analysis workflow to detect Rb and pRb expression on CTCs. Future studies will assess the predictive biomarker utility of the assay by measuring Rb and pRb dynamics on CTCs in metastatic HR+/HER2- BC patients before and after CDK4/6i therapy.
Acknowledgement: This research was funded by CPRIT (RP210148) and NCATS CTSA pilot grant (1UM1TR004539-01A1).
利益披露 Disclosure
M. Tabassum, None..
S. Kanna, None..
W. Cao, None..
S. Kumar, None.
M. F. Rimawi,
Greenwich Life Sciences ).
Stemline Consulting.
Novartis Consulting.
AstraZeneca Consulting.
Pfizer Consulting.
Tempus Consulting.
Genentech Consulting.
Gilead Consulting.
G. Miles, None..
M. Trivedi, None.