Identification of single chain antibodies to breast cancer stem cells using phage display

Recent evidence suggests that most malignancies are driven by “cancer stem cells” sharing the signature characteristics of adult stem cells: the ability to self renew and to differentiate. Furthermore these cells are thought to be quiescent, infrequently dividing cells with a natural resistance to chemotherapeutic agents. These studies theorize that therapies, which effectively treat the majority of tumor cells but ‘miss’ the stem cell population, will fail, while therapies directed at stern cells can potentially eradicate tumors. In breast cancer, researchers have isolated ‘breast cancer stem cells’ capable of recreating the tumor in vivo and in vitro. Generated new tumors contained both additional numbers of cancer stem cells and diverse mixed populations of cells present in the initial tumor, supporting the intriguing self‐renewal and differentiation characteristics. In the present study, an antibody phage library has been used to search for phage displayed‐single chain antibodies (scFv) with selective affinity to specific targets on breast cancer stem cells. We demonstrate evidence of two clones binding specifically to a cancer stem cell population isolated from the SUMl59 breast cancer cell line. These clones had selective affinity for cancer stem cells and they were able to select cancer stem cells among a large population of non‐stem cancer cells in paraffin‐embedded sections. The applicability of these clones to paraffin sections and frozen tissue specimens made them good candidates to be used as diagnostic and prognostic markers in breast cancer patient samples taking into consideration the cancer stern cell concept in tumor biology. © 2009 American Institute of Chemical Engineers Biotechnol. Prog., 2009     

Effect of Dedifferentiation on Time to Mutation Acquisition in Stem Cell-Driven Cancers

Accumulating evidence suggests that many tumors have a hierarchical organization, with the bulk of the tumor composed of relatively differentiated short-lived progenitor cells that are maintained by a small population of undifferentiated long-lived cancer stem cells. It is unclear, however, whether cancer stem cells originate from normal stem cells or from dedifferentiated progenitor cells. To address this, we mathematically modeled the effect of dedifferentiation on carcinogenesis. We considered a hybrid stochastic-deterministic model of mutation accumulation in both stem cells and progenitors, including dedifferentiation of progenitor cells to a stem cell-like state. We performed exact computer simulations of the emergence of tumor subpopulations with two mutations, and we derived semi-analytical estimates for the waiting time distribution to fixation. Our results suggest that dedifferentiation may play an important role in carcinogenesis, depending on how stem cell homeostasis is maintained. If the stem cell population size is held strictly constant (due to all divisions being asymmetric), we found that dedifferentiation acts like a positive selective force in the stem cell population and thus speeds carcinogenesis. If the stem cell population size is allowed to vary stochastically with density-dependent reproduction rates (allowing both symmetric and asymmetric divisions), we found that dedifferentiation beyond a critical threshold leads to exponential growth of the stem cell population. Thus, dedifferentiation may play a crucial role, the common modeling assumption of constant stem cell population size may not be adequate, and further progress in understanding carcinogenesis demands a more detailed mechanistic understanding of stem cell homeostasis.     

A Multicompartment Mathematical Model of Cancer Stem Cell-Driven Tumor Growth Dynamics

Tumors are appreciated to be an intrinsically heterogeneous population of cells with varying proliferation capacities and tumorigenic potentials. As a central tenet of the so-called cancer stem cell hypothesis, most cancer cells have only a limited lifespan, and thus cannot initiate or reinitiate tumors. Longevity and clonogenicity are properties unique to the subpopulation of cancer stem cells. To understand the implications of the population structure suggested by this hypothesis—a hierarchy consisting of cancer stem cells and progeny non-stem cancer cells which experience a reduction in their remaining proliferation capacity per division—we set out to develop a mathematical model for the development of the aggregate population. We show that overall tumor progression rate during the exponential growth phase is identical to the growth rate of the cancer stem cell compartment. Tumors with identical stem cell proportions, however, can have different growth rates, dependent on the proliferation kinetics of all participating cell populations. Analysis of the model revealed that the proliferation potential of non-stem cancer cells is likely to be small to reproduce biologic observations. Furthermore, a single compartment of non-stem cancer cell population may adequately represent population growth dynamics only when the compartment proliferation rate is scaled with the generational hierarchy depth.     

IL-4-mediated drug resistance in colon cancer stem cells

Cancer stem cells are defined as cells able to both extensively self-renew and differentiate into progenitors. Cancer stem cells are thus likely to be responsible for maintaining or spreading a cancer, and may be the most relevant targets for cancer therapy. The CD133 glycoprotein was recently described as a reliable cancer stem-like cell marker in colon carcinoma. CD133+ cells are both necessary and sufficient to initiate tumour growth in animal models. The CD133+ cell population and spheroid cultures contain cells expressing the stem cell marker Musashi-1 which is involved in maintenance of stem cell fate in several tissues and importantly, this expression is maintained in stem-like cells derived from xenografted tumours. Here we discuss the potential use of the CD133 antigen in concert with Musashi-1 as markers to identify the colon cancer stem cell population. Since the up-regulation of IL-4 cytokine was recently demonstrated to constitute an important mechanism that protects the tumorigenic CD133+ cells from apoptosis, the potential benefits of standard chemotherapeutic treatments in combination with IL-4 inhibitors in the context of human colon carcinoma, are also discussed.     

Nicotine increases cancer stem cell population in MCF-7 cells

Epidemiological studies have suggested that cigarette smoking is related to increased breast cancer risk. Nicotine is most likely related to the risk in cigarette smoking. However, the mechanisms by which nicotine promotes cancer development are not fully understood. It has recently been suggested that development of breast cancer are originated from cancer stem cells, which are a minor population of breast cancer. In the present study, we investigated the effects of nicotine on the population of cancer stem cells in MCF-7 human breast cancer cells, using flow cytometry with a cancer stem cell marker aldehyde dehydrogenase (ALDH). We found that nicotine increased ALDH-positive cell population in a dose-dependent manner. We further demonstrated that a PKC-Notch pathway is involved in the effect of nicotine. In addition, the effect of nicotine was blocked by treatment with the α7 subunit-selective antagonist of nicotinic acetylcholine receptors (nAChR) α-Bungarotoxin. These data suggest that nicotine increases the stem cell population via α7-nAChR and the PKC-Notch dependent pathway in MCF-7 cells. These findings reveal a relationship between nicotine and the cancer stem cells in human breast cancer.     

Effects of Low Confluency,Serum Starvation and Hypoxia on the Side Population of Cancer Cell Lines

The cancer stem cell theory describes a small subset of cancer cells that have the ability to initiate and drive the growth of a tumor. The niche refers to the environmental factors and the surrounding cells within which the tumor develops. The exact relationship between cancer stem cells and the tumor niche is not known. However, using side population analysis by flow cytometry, it is possible to analyze the relationship between environmental stresses and putative cancer stem cells. The side population is a subpopulation of cells that efflux Hoechst 33342 and has been previously shown to be enriched for cancer stem cells. Using this technique, we characterized the response of side population cells to low confluency, serum starvation and hypoxia using three different human cancer cell lines. We found that these stresses, characteristic of the tumor niche enrich the side population of DLD1, SW480 and MCF7 cancer cell lines, thus possibly predisposing the tumor to a more malignant phenotype.     

Functional analyses of the cancer stem cell-like properties of human endometrial tumor initiating cells

Recent data suggest that rare stem cell populations with the capacity to self renew and drive tumor formation are a feature of solid tumors. Several investigators have identified putative stem cells from solid tumors and cancer cell lines following isolation of a side population (SP) defined by dye exclusion. We investigated this parameter in our efforts to identify an endometrial cancer (EnCa) stem cell population. Multiple EnCa cell lines were assessed and verapamil sensitive SP and non-SP cells were isolated from two human EnCa cell lines. The functional significance of the SP and non-SP derived from AN3CA was evaluated in vitro and in vivo. SP cells proliferated at a significantly slower rate than the non-SP fraction, and a larger proportion of the SP cells were in G1 phase of the cell cycle as compared to the non-SP fraction. The SP fraction was more resistant to the chemotherapeutic agent paclitaxel. The SP comprised ~0.02% of the initial AN3CA cell population and this proportion of SP cells was maintained within the larger heterogeneous population following repeated passages of purified SP cells. These findings suggest that SP cells derived from the AN3CA cell line have the stem cell properties of low proliferative activity, chemoresistance, and self-renewal. We also tested relative tumor formation activity of the SP and non-SP fractions. Only the SP fraction was tumorigenic. Additionally, we identified SP fractions in primary EnCa. Together these results are consistent with the hypothesis that EnCa contain a subpopulation of tumor initiating cells with stem like properties.     

肿瘤干细胞研究进展

肿瘤干细胞（cancer stem cell, CSC）假说是近年来提出的关于肿瘤发生的新理论,在所有的肿瘤细胞中,可能只有一小部分细胞具有产生肿瘤并维持肿瘤生长和异质性的能力,目前已经在白血病、乳腺癌、脑癌等肿瘤组织中成功分离出了肿瘤干细胞,深入了解肿瘤干细胞的生物学特性、发展相应的鉴别方法以及特殊的治疗手段对癌症的临床治疗有着重要的意义。主要从肿瘤干细胞的概念、起源、鉴定分离方法、与正常干细胞的比较、比率以及与肿瘤转移的关系等方面进行了综述。     

Therapeutic implications of cancer stem cells

Most cancers comprise a heterogenous population of cells with marked differences in their proliferative potential as well as the ability to reconstitute the tumor upon transplantation. Cancer stem cells are a minor population of tumor cells that possess the stem cell property of self-renewal. In addition, dysregulation of stem cell self-renewal is a likely requirement for the development of cancer. This new model for cancer will have significant ramifications for the way we study and treat cancer. In addition, through targeting the cancer stem cell and its dysregulated self-renewal, our therapies for treating cancer are likely to improve.     

肿瘤干细胞鉴定方法

肿瘤干细胞假说是近年来提出的关于肿瘤发生的新理论,该理论认为肿瘤组织中仅有一小部分细胞可以产生肿瘤并且维持肿瘤生长。在体内外如何鉴定这种具有启动以及保持肿瘤生长的细胞类型,成为肿瘤基础及应用研究的关键问题。目前已经在白血病、乳腺癌、神经胶质瘤等肿瘤中成功鉴定并分离出肿瘤干细胞,这对于肿瘤的临床治疗具有重要意义。本文主要从肿瘤干细胞的鉴定及其在临床研究中的应用等方面进行综述。     

肿瘤干细胞研究进展

肿瘤是危害人类健康的重大疾病。肿瘤的起源,即肿瘤的去分化起源和肿瘤的干细胞起源一直是有争议的,而随着干细胞研究的深入,越来越多的实验结果证实肿瘤起源于干细胞的观点。肿瘤干细胞不仅能够从血液系统恶性肿瘤中分离,乳腺癌实体瘤干细胞的成功分离也证实了肿瘤干细胞的存在。针对细胞特异的表面标记,可以靶向消灭肿瘤干细胞,治疗肿瘤。     

Evolution and Phenotypic Selection of Cancer Stem Cells

Cells of different organs at different ages have an intrinsic set of kinetics that dictates their behavior. Transformation into cancer cells will inherit these kinetics that determine initial cell and tumor population progression dynamics. Subject to genetic mutation and epigenetic alterations, cancer cell kinetics can change, and favorable alterations that increase cellular fitness will manifest themselves and accelerate tumor progression. We set out to investigate the emerging intratumoral heterogeneity and to determine the evolutionary trajectories of the combination of cell-intrinsic kinetics that yield aggressive tumor growth. We develop a cellular automaton model that tracks the temporal evolution of the malignant subpopulation of so-called cancer stem cells(CSC), as these cells are exclusively able to initiate and sustain tumors. We explore orthogonal cell traits, including cell migration to facilitate invasion, spontaneous cell death due to genetic drift after accumulation of irreversible deleterious mutations, symmetric cancer stem cell division that increases the cancer stem cell pool, and telomere length and erosion as a mitotic counter for inherited non-stem cancer cell proliferation potential. Our study suggests that cell proliferation potential is the strongest modulator of tumor growth. Early increase in proliferation potential yields larger populations of non-stem cancer cells(CC) that compete with CSC and thus inhibit CSC division while a reduction in proliferation potential loosens such inhibition and facilitates frequent CSC division. The sub-population of cancer stem cells in itself becomes highly heterogeneous dictating population level dynamics that vary from long-term dormancy to aggressive progression. Our study suggests that the clonal diversity that is captured in single tumor biopsy samples represents only a small proportion of the total number of phenotypes.     

The hypoxic microenvironment maintains glioblastoma stem cells and promotes reprogramming towards a cancer stem cell phenotype

Glioblastomas are highly lethal cancers that contain cellular hierarchies with self-renewing cancer stem cells that can propagate tumors in secondary transplant assays. The potential significance of cancer stem cells in cancer biology has been demonstrated by studies showing contributions to therapeutic resistance, angiogenesis, and tumor dispersal. We recently reported that physiologic oxygen levels differentially induce hypoxia inducible factor-2α (HIF2α) levels in cancer stem cells. HIF1α functioned in proliferation and survival of all cancer cells but also was activated in normal neural progenitors suggesting a potentially restricted therapeutic index while HIF2α was essential in only in cancer stem cells and was not expressed by normal neural progenitors demonstrating HIF2α is a cancer stem cell specific target. We now extend these studies to examine the role of hypoxia in regulating tumor cell plasticity. We find that hypoxia promotes the self-renewal capability of the stem and non-stem population as well as promoting a more stem-like phenotype in the non-stem population with increased neurosphere formation as well as upregulation of important stem cell factors, such as OCT4, NANOG, and c-MYC. The importance of HIF2α was further supported as forced expression of non-degradable HIF2α induced a cancer stem cell marker and augmented the tumorigenic potential of the non-stem population. This novel finding may indicate a specific role of HIF2α in promoting glioma tumorigenesis. The unexpected plasticity of the non-stem glioma population and the stem-like phenotype emphasizes the importance of developing therapeutic strategies targeting the microenvironmental influence on the tumor in addition to cancer stem cells.     

The therapeutic implications of plasticity of the cancer stem cell phenotype

The cancer stem cell hypothesis suggests that tumors contain a small population of cancer cells that have the ability to undergo symmetric self-renewing cell division. In tumors that follow this model, cancer stem cells produce various kinds of specified precursors that divide a limited number of times before terminally differentiating or undergoing apoptosis. As cells within the tumor mature, they become progressively more restricted in the cell types to which they can give rise. However, in some tumor types, the presence of certain extra- or intracellular signals can induce committed cancer progenitors to revert to a multipotential cancer stem cell state. In this paper, we design a novel mathematical model to investigate the dynamics of tumor progression in such situations, and study the implications of a reversible cancer stem cell phenotype for therapeutic interventions. We find that higher levels of dedifferentiation substantially reduce the effectiveness of therapy directed at cancer stem cells by leading to higher rates of resistance. We conclude that plasticity of the cancer stem cell phenotype is an important determinant of the prognosis of tumors. This model represents the first mathematical investigation of this tumor trait and contributes to a quantitative understanding of cancer.     

Breast cancer, a stem cell disease

Breast cancer is a first magnitude problem of public health worldwide. There is increasing evidence that this cancer is originated in and maintained by a small population of undifferentiated cells with self-renewal properties. This small population generates a more differentiated pool of cells which represents the main mass of the tumor, resembling the hierarchical tissue organization of the normal breast. These cancer stem cells seem to share a similar phenotype with their normal counterparts but they display dysfunctional patterns of proliferation and differentiation, and they no longer respond to normal physiological controls that ensure a balanced cellular turnover. The origin of these cancer stem cells is controversial; it is not well known if they are originated from normal stem cells or from more differentiated progenitors where a de novo stem cell program is activated by the oncogenic insult. Here we review the origin of breast cancer stem cells and their role in the pathogenesis of cancer development, together with their implications in breast cancer progression, treatment and prognosis.