干性表型模型。

ISRN oncology Pub Date : 2012-01-01 Epub Date: 2012-08-08 DOI:10.5402/2012/392647
M H Cruz, A Sidén, G M Calaf, Z M Delwar, J S Yakisich
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引用次数: 43

摘要

在大多数实体肿瘤中,癌症干细胞(CSCs)的一部分与化疗耐药性相关的鉴定导致了消除这一部分将治愈癌症的教条。实验数据对这种过于简单和乐观的模型提出了挑战。与经典的癌症干细胞模型相反,我们引入了干性表型模型(SPM),该模型提出所有胶质瘤细胞都具有干细胞特性,并且干性受微环境调节。SPM的一个关键预测是,要治愈胶质瘤,所有胶质瘤细胞(CSCs和非CSCs)应立即消除。最近提出了其他与SPM及其预测非常相似的理论,表明SPM可能是其他类型肿瘤的有用模型。在这里,我们回顾了来自其他肿瘤的数据,这些数据强烈支持SPM应用于胶质瘤的概念。我们包括以下相关数据:(1)在已建立的癌细胞系中存在罕见但恒定比例的CSCs,(2)癌症的克隆起源,(3)对称分裂,(4)“非CSCs”生成“CSCs”的能力,以及(5)微环境对癌症干细胞的影响。上述决定性地支持针对胶质瘤提出的SPM的问题也适用于乳腺癌、肺癌、前列腺癌和黑色素瘤,也许还有其他一般的肿瘤。如果胶质瘤的SPM是正确的,并且可以外推到其他类型的癌症,它将对癌症治疗新模式的发展产生深远的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

The stemness phenotype model.

The stemness phenotype model.

The identification of a fraction of cancer stem cells (CSCs) associated with resistance to chemotherapy in most solid tumors leads to the dogma that eliminating this fraction will cure cancer. Experimental data has challenged this simplistic and optimistic model. Opposite to the classical cancer stem cell model, we introduced the stemness phenotype model (SPM), which proposed that all glioma cells possess stem cell properties and that the stemness is modulated by the microenvironment. A key prediction of the SPM is that to cure gliomas all gliomas cells (CSCs and non-CSCs) should be eliminated at once. Other theories closely resembling the SPM and its predictions have recently been proposed, suggesting that the SPM may be a useful model for other type of tumors. Here, we review data from other tumors that strongly support the concepts of the SPM applied to gliomas. We include data related to: (1) the presence of a rare but constant fraction of CSCs in established cancer cell lines, (2) the clonal origin of cancer, (3) the symmetrical division, (4) the ability of "non-CSCs" to generate "CSCs," and (5) the effect of the microenvironment on cancer stemness. The aforenamed issues that decisively supported the SPM proposed for gliomas can also be applied to breast, lung, prostate cancer, and melanoma and perhaps other tumors in general. If the glioma SPM is correct and can be extrapolated to other types of cancer, it will have profound implications in the development of novel modalities for cancer treatment.

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