Detection of circulating tumor cells by p75NTR expression in patients with esophageal cancer.
Detection of circulating tumor cells by p75NTR expression in patients with esophageal cancer.
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DOI：
10.1186/s12957-016-0793-9
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发表时间：
2016-02-20
影响因子：
3.2
通讯作者：
Tsukada K
中科院分区：
文献类型：
--
作者：
Yamaguchi T;Okumura T;Hirano K;Watanabe T;Nagata T;Shimada Y;Tsukada K
p75神经营养因子受体（p75NTR）是食管鳞状细胞癌（ESCC）中的癌症干细胞（CSC）标志物。本研究旨在评估p75 NTR在检测ESCC循环肿瘤细胞（CTC）中的应用。采用流式细胞术检测23例食管鳞癌患者（13例接受放化疗，10例接受根治性手术）和10例健康对照者外周血单个核细胞上皮细胞粘附分子（EpCAM）和p75 NTR的表达。与对照组（n = 10，0.4 ± 0.9，p = 0.013）相比，患者（n = 23，16.0 ± 18.3）中的EpCAM + p75NTR+细胞计数（平均值± SD）显著更高。区分ESCC患者和对照组的敏感性和特异性分别为78.3%和100%（截止值4.0）。EpCAM + p75NTR+，而不是EpCAM + p75NTR−细胞计数，与临床诊断的远处转移（n = 13，p = 0.006）和切除的原发性肿瘤的病理性静脉浸润（n = 10，p = 0.016）相关。在分离的EpCAM + p75NTR+细胞中用免疫细胞化学双重染色显微镜证实恶性细胞学。p75 NTR被认为是临床上显著的CTC的有用标志物，其在ESCC中表现出高度转移的特征。
The p75 neurotrophin receptor (p75NTR) is a cancer stem cell (CSC) marker in esophageal squamous cell carcinoma (ESCC). This study aimed to assess the use of p75NTR in detecting circulating tumor cells (CTCs) in ESCC. Peripheral blood mononuclear cell expression of epithelial cell adhesion molecule (EpCAM) and p75NTR was detected in 23 ESCC patients (13 received chemo- or chemoradiotherapy and 10 received curative surgery) and 10 healthy controls by flow cytometry. EpCAM + p75NTR+ cell counts (average ± SD) were significantly higher in patients (n = 23, 16.0 ± 18.3) compared to controls (n = 10, 0.4 ± 0.9, p = 0.013). The sensitivity and specificity to differentiate ESCC patients from controls were 78.3 and 100 % (cut-off value 4.0), respectively. EpCAM + p75NTR+, but not EpCAM + p75NTR− cell counts, correlated with clinically diagnosed distant metastasis (n = 13, p = 0.006) and pathological venous invasion in resected primary tumors (n = 10, p = 0.016). Malignant cytology was microscopically confirmed in isolated EpCAM + p75NTR+ cells with immunocytochemical double staining. p75NTR is suggested to be a useful marker for clinically significant CTCs, which exhibit highly metastatic features in ESCC.