Woodward Wendy A, Sulman Erik P
Department of Radiation Oncology, The University of Texas M.D. Anderson Cancer Center, 1515 Holcombe Blvd., Box 1202, Houston, TX 77030, USA.
Cancer Metastasis Rev. 2008 Sep;27(3):459-70. doi: 10.1007/s10555-008-9130-2.
The lineages assumed by stem cells during hematopoiesis can be identified by the pattern of protein markers present on the surface of cells at different stages of differentiation. Specific antibodies directed at these markers have facilitated the isolation of hematopoietic stem cells by flow cytometry.
Similarly, stem cells in solid organs also can be identified using cell surface markers. In addition, solid tumors have recently been found to contain small proportions of cells that are capable of proliferation, self-renewal, and differentiation into the various cell types seen in the bulk tumor. Of particular concern, these tumor-initiating cells (termed cancer stem cells when multipotency and self-renewal have been demonstrated) often display characteristics of treatment resistance, particularly to ionizing radiation. Thus, it is important to be able to identify these cells in order to better understand the mechanisms of resistance, and to be able to predict outcome and response to treatment. This depends, of course, on identifying markers that can be used to identify the cells, and for some solid tumors, a specific pattern of cell surface markers is emerging. In breast cancer, for example, the tumor-initiating cells have a characteristic Lin(-)CD44(+)CD24(-/lo) ESA(+) antigenic pattern. In cells derived from some high-grade gliomas, expression of CD133 on the cell surface appears to select for a population of tumor-initiating, treatment resistant cells.
Because multiple markers, typically examined on single cells using flow cytometry, are used routinely to identify the subpopulation of tumor-initiating cells, and because the number of these cells is small, the challenge remains to detect them in clinical samples and to determine their ability to predict outcome and/or response to treatment, the hallmarks of established biomarkers.
造血过程中干细胞所呈现的谱系可通过不同分化阶段细胞表面存在的蛋白质标志物模式来识别。针对这些标志物的特异性抗体有助于通过流式细胞术分离造血干细胞。
同样,实体器官中的干细胞也可利用细胞表面标志物来识别。此外,最近发现实体瘤含有小比例的细胞,这些细胞能够增殖、自我更新并分化为实体瘤中所见的各种细胞类型。特别值得关注的是,这些肿瘤起始细胞(当已证明具有多能性和自我更新能力时称为癌症干细胞)通常表现出抗治疗特性,尤其是对电离辐射的抗性。因此,能够识别这些细胞对于更好地理解抗性机制以及预测治疗结果和反应非常重要。这当然取决于识别可用于识别这些细胞的标志物,对于某些实体瘤,一种特定的细胞表面标志物模式正在显现。例如,在乳腺癌中,肿瘤起始细胞具有特征性的Lin(-)CD44(+)CD24(-/lo) ESA(+)抗原模式。在源自一些高级别胶质瘤的细胞中,细胞表面CD133的表达似乎筛选出了一群具有肿瘤起始能力、抗治疗的细胞。
由于通常使用流式细胞术在单细胞上检测多种标志物来识别肿瘤起始细胞亚群,并且由于这些细胞数量很少,因此在临床样本中检测它们并确定它们预测结果和/或治疗反应(既定生物标志物的特征)的能力仍然是一项挑战。