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单细胞分离与分子分析:聚焦转移性乳腺癌中的HER2低表达循环肿瘤细胞

Single-Cells Isolation and Molecular Analysis: Focus on HER2-Low CTCs in Metastatic Breast Cancer.

作者信息

D'Amico Paolo, Reduzzi Carolina, Qiang Wenan, Zhang Youbin, Gerratana Lorenzo, Zhang Qiang, Davis Andrew A, Shah Ami N, Manai Maroua, Curigliano Giuseppe, Cristofanilli Massimo

机构信息

Robert H. Lurie Comprehensive Cancer Center, Department of Medicine-Hematology and Oncology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA.

Division of Early Drug Development for Innovative Therapies, European Institute of Oncology, IRCCS, University of Milano, 20141 Milano, Italy.

出版信息

Cancers (Basel). 2021 Dec 24;14(1):79. doi: 10.3390/cancers14010079.

Abstract

Although the detection of CTCs expressing HER2 at low intensity (HER2-low CTCs) has been shown to have a negative prognostic value in metastatic breast cancer (MBC) patients, the biological intrinsic nature of HER2-low CTCs remains unexplored. Considering the technical challenges behind the selective collection of immunophenotype-specific CTCs, we developed a pipeline to individually capture HER2-low CTCs. Four different breast cancer cell lines (MDA-MB-231, T47D, MDA-MB-453, and SKBR3), that are known to express HER2 at different immunohistochemistry levels (respectively classified as 0, 1+, 2+, and 3+), were spiked in healthy donor blood tubes (7.5 mL) and processed with the CellSearch (Menarini Silicon Biosystems, Bologna, Italy) for enrichment and the DEPArray NxT for single cell selection. The HER2 signal-intensities of each cell line was compared using the nonparametric Mann-Whitney U test. The optimal cut-offs to distinguish HER2 1+ from 0 and 2+ cells were calculated performing the Receiver operating characteristic (ROC) curve. Median HER2 signal-intensities detected with the DEPArray NxT were: 2.59 (0), 3.58 (1+), 5.23 (2+) and 38.37 (3+). DEPArray NxT efficiently differentiated each single cell line ( < 0.001). The area under the ROC curve was 0.69 and 0.70 (respectively 0 vs. 1+ and 1+ vs. 2+) and the optimal calculated cut-offs were 2.85 (lower) and 4.64 (upper). HER2-low CTCs can be detected and separately collected using predetermined intensity cut-offs. This study will allow standardized single-cell or pooled collection of HER2-low CTCs for downstream molecular analyses.

摘要

尽管已证明检测低强度表达HER2的循环肿瘤细胞(HER2低表达循环肿瘤细胞)对转移性乳腺癌(MBC)患者具有负面预后价值,但HER2低表达循环肿瘤细胞的生物学内在本质仍未得到探索。考虑到选择性收集免疫表型特异性循环肿瘤细胞背后的技术挑战,我们开发了一种单独捕获HER2低表达循环肿瘤细胞的流程。将四种已知在不同免疫组化水平表达HER2(分别分类为0、1+、2+和3+)的不同乳腺癌细胞系(MDA-MB-231、T47D、MDA-MB-453和SKBR3)添加到健康供者的血样管(7.5 mL)中,并使用CellSearch(意大利博洛尼亚的Menarini Silicon Biosystems公司)进行富集,然后使用DEPArray NxT进行单细胞分选。使用非参数曼-惠特尼U检验比较每个细胞系的HER2信号强度。通过绘制受试者工作特征(ROC)曲线计算区分HER2 1+与0和2+细胞的最佳临界值。使用DEPArray NxT检测到的HER2信号强度中位数分别为:2.59(0)、3.58(1+)、5.23(2+)和38.37(3+)。DEPArray NxT能够有效区分每个单细胞系(<0.001)。ROC曲线下面积分别为0.69(0与1+比较)和0.70(1+与2+比较),计算出的最佳临界值为2.85(下限)和4.64(上限)。可以使用预定的强度临界值检测并单独收集HER2低表达循环肿瘤细胞。本研究将允许对HER2低表达循环肿瘤细胞进行标准化的单细胞或混合收集,用于下游分子分析。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db83/8750036/cf9134b31760/cancers-14-00079-g001.jpg

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