Multiple mRNA markers for the detection of circulating tumor cells in breast cancer patients

Hsu-Chin Hung , Li-Chen Yen , Shiu-Ru Lin , Jaw-Yuan Wang
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引用次数: 2

Abstract

The detection of circulating tumor cells (CTCs) is believed to be a potential method for the early detection of cancer. The aim of this study was to employ a membrane array to develop a panel of mRNA markers for the detection of CTCs in breast cancer patients. Twenty genes with highly differentiated expression levels were selected from microarray studies. The subsequent validation analysis of 30 pairs of breast tissue samples showed that 19 genes demonstrated two-fold overexpression in cancer tissues in comparison with those in normal tissues in 80% of the paired samples. Furthermore, a membrane array experiment was conducted on blood samples from 64 normal controls and 87 breast cancer patients, and the predictive power of each gene was evaluated by analyzing the gene expression level using receiver-operating curves (ROC). Among the 20 genes selected, eight genes that demonstrated the largest areas under the curve (AUC) > 0.8 were selected as diagnostic markers. According to the ROC analysis, when setting the cut-off point of five positive genes, the genetic array of the eight markers was recognized as positive with sensitivity and specificity values of 90% and 89%, respectively. These results suggest that this mRNA marker array could be useful for detecting CTCs in breast cancer patients.

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多种mRNA标记物检测乳腺癌患者循环肿瘤细胞
循环肿瘤细胞(CTCs)的检测被认为是早期发现癌症的一种潜在方法。本研究的目的是利用膜阵列来开发一组mRNA标记物,用于检测乳腺癌患者的ctc。从微阵列研究中选择了20个高分化表达水平的基因。随后对30对乳腺组织样本的验证分析表明,在80%的成对样本中,19个基因在癌组织中表现出两倍的过表达,而在正常组织中则表现出两倍的过表达。同时,对64例正常对照和87例乳腺癌患者的血液样本进行膜阵列实验,利用受体工作曲线(receiver-operating curves, ROC)分析基因表达水平,评估各基因的预测能力。在所选的20个基因中,曲线下面积(AUC)最大的基因有8个>选择0.8个作为诊断标记。根据ROC分析,在设置5个阳性基因的截止点时,8个标记的基因阵列被识别为阳性,敏感性和特异性值分别为90%和89%。这些结果表明,该mRNA标记阵列可用于检测乳腺癌患者的ctc。
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