Department of Medical Oncology, University Hospital of Santiago de Compostela, La Coruña, Galicia, Spain.
Oncol Rep. 2013 Jun;29(6):2467-72. doi: 10.3892/or.2013.2368. Epub 2013 Mar 27.
Cancer stem cells play an important role in carcinogenesis and resistance to treatment and may lead to metastasis. The isolation of circulating stem cells involves cell sorting based on the presence of cell surface markers. Many surface markers such as CD133, c-Kit, SOX, OCT4 and TWIST have been reported. In the present study, we determined the expression of different stem cell markers and their variation in expression at different stages of the treatment process. Samples of EDTA blood were collected from metastatic colorectal cancer patients, and circulating cancer stem cells were isolated for the analysis of the expression of stem cell markers using RT-PCR. These findings were correlated with the response to therapy. All statistical analyses were performed using the GraphPad Prism 5.03 software. Significant differences were found in the expression levels of the markers CD133, SOX2, OCT4 and TWIST1. No differences were found in c-Kit expression. Correlation in the expression levels of most of the markers was observed. Expression of CD133, OCT4, SOX2 and TWIST1 had a predictive value for colon cancer behavior. Evaluation of this stem cell gene expression panel may be useful for predicting the response during the process of treatment, and the relative easy access to samples facilitates this method. Moreover the correlation between CD133 and TWIST1 expression may be associated with tumor regrowth and metastatic relapse.
癌症干细胞在癌症发生和治疗耐药中起重要作用,并可能导致转移。循环干细胞的分离涉及基于细胞表面标志物存在的细胞分选。已经报道了许多表面标志物,如 CD133、c-Kit、SOX、OCT4 和 TWIST。在本研究中,我们确定了不同干细胞标志物的表达及其在治疗过程不同阶段表达的变化。从转移性结直肠癌患者采集 EDTA 血液样本,并分离循环癌症干细胞,使用 RT-PCR 分析干细胞标志物的表达。这些发现与治疗反应相关。所有统计分析均使用 GraphPad Prism 5.03 软件进行。标志物 CD133、SOX2、OCT4 和 TWIST1 的表达水平存在显著差异。c-Kit 表达无差异。大多数标志物的表达水平存在相关性。CD133、OCT4、SOX2 和 TWIST1 的表达对结肠癌行为具有预测价值。评估该干细胞基因表达谱可能有助于预测治疗过程中的反应,并且相对容易获得样本使得这种方法变得可行。此外,CD133 和 TWIST1 表达之间的相关性可能与肿瘤复燃和转移复发有关。