Vascular remodelling of an arterio-venous blood vessel network during solid tumour growth

We formulate a theoretical model to analyze the vascular remodelling process of an arterio-venous vessel network during solid tumour growth. The model incorporates a hierarchically organized initial vasculature comprising arteries, veins and capillaries, and involves sprouting angiogenesis, vessel cooption, dilation and regression as well as tumour cell proliferation and death. The emerging tumour vasculature is non-hierarchical, compartmentalized into well-characterized zones and transports efficiently an injected drug-bolus. It displays a complex geometry with necrotic zones and “hot spots” of increased vascular density and blood flow of varying size. The corresponding cluster size distribution is algebraic, reminiscent of a self-organized critical state. The intra-tumour vascular-density fluctuations correlate with pressure drops in the initial vasculature suggesting a physical mechanism underlying hot spot formation.     

Vascular network remodeling via vessel cooption, regression and growth in tumors

The transformation of the regular vasculature in normal tissue into a highly inhomogeneous tumor specific capillary network is described by a theoretical model incorporating tumor growth, vessel cooption, neo-vascularization, vessel collapse and cell death. Compartmentalization of the tumor into several regions differing in vessel density, diameter and in necrosis is observed for a wide range of parameters in agreement with the vessel morphology found in human melanoma. In accord with data for human melanoma the model predicts that microvascular density (MVD), regarded as an important diagnostic tool in cancer treatment, does not necessarily determine the tempo of tumor progression. Instead it is suggested that the MVD of the original tissue as well as the metabolic demand of the individual tumor cell plays the major role in the initial stages of tumor growth.     

血管平滑肌细胞增殖与Cdk抑制蛋白p27的表达

ｐ２７蛋白是细胞周期素依赖性激酶（Ｃｄｋ）抑制蛋白家族中的一种,主要对外部促进或抑制细胞增殖的信号起反应。本研究应用流式细胞仪（ＦＣＭ）双标记的方法观察血管紧张素Ⅱ（ＡｎｇⅡ）、血管加压素（ＡＶＰ）和血小板源生长因子（ＰＤＧＦ）对血管平滑肌细胞（ＶＳＭＣｓ）细胞周期百分比和ｐ２７蛋白表达量的影响。静止状态培养的ＶＳＭＣｓ加入ＡｎｇⅡ,ＡＶＰ,ＰＤＧＦＢＢ后,在不同时间收集细胞,用碘化丙啶（ＰＩ）标记细胞ＤＮＡ,以确定细胞所处的周期。用ｐ２７蛋白的单抗和标记了ＦＩＴＣ的二抗标记细胞,通过流式细胞仪测定被激发出的荧光量来确定细胞ｐ２７蛋白表达的相对量。结果显示,ＡｎｇⅡ刺激ＶＳＭＣｓ增生,其蛋白含量增加了４３６％（Ｐ＜００１）,但不抑制ｐ２７蛋白的表达;ＡＶＰ可轻度抑制ｐ２７的表达,有轻度促进ＶＳＭＣｓ增殖和增生的作用（Ｐ＜００５）;ＰＤＧＦ明显抑制ｐ２７的表达,引起细胞增殖。本研究结果提示,ｐ２７蛋白抑制ＶＳＭＣｓ通过Ｇ１期进入Ｓ期,是抑制ＶＳＭＣｓ增殖的重要调节因子。     

A model with 'growth retardation' for the kinetic heterogeneity of tumour cell populations

In the present paper we propose a continuous cell population model based on Shackney's idea of growth retardation. Cells are characterized by two state variables: the cell maturity x, 0 < or = x < or = 1, and a state variable T that identifies the rate of maturation along cell cycle. During their life span, cells can change T at random by jump transitions to T values corresponding to slower maturation rates, while at each jump the maturity x is conserved. Both the time evolution of the population and the exponential stationary solution are numerically computed. The distribution of the cell cycle transit time in asynchronous exponential growth is investigated by Monte Carlo simulation. An approximated formula for the distribution of cell cycle time is also provided.     

Coupled modelling of tumour angiogenesis, tumour growth and blood perfusion

We propose a mathematical modelling system to investigate the dynamic process of tumour cell proliferation, death and tumour angiogenesis by fully coupling the vessel growth, tumour growth and blood perfusion. Tumour growth and angiogenesis are coupled by the chemical microenvironment and the cell-matrix interaction. The haemodynamic calculation is carried out on the updated vasculature. The domains of intravascular, transcapillary and interstitial fluid flow were coupled in the model to provide a comprehensive solution of blood perfusion variables. An estimation of vessel collapse is made according to the wall shear stress criterion to provide feedback on vasculature remodelling. The simulation can show the process of tumour angiogenesis and the spatial distribution of tumour cells for periods of up to 24 days. It can show the major features of tumour and tumour microvasculature during the period such as the formation of a large necrotic core in the tumour centre with few functional vessels passing through, and a well circulated tumour periphery regions in which the microvascular density is high and associated with more aggressive proliferating cells of the growing tumour which are all consistent with physiological observations. The study also demonstrated that the simulation results are not dependent on the initial tumour and networks, which further confirms the application of the coupled model feedback mechanisms. The model enables us to examine the interactions between angiogenesis and tumour growth, and to study the dynamic response of a solid tumour to the changes in the microenvironment. This simulation framework can be a foundation for further applications such as drug delivery and anti-angiogenic therapies.     

Interaction of the stress protein p8 with Jab1 is required for Jab1-dependent p27 nuclear-to-cytoplasm translocation

p8 is an 80 amino-acid polypeptide identified because of its remarkable over-expression in the stressed pancreas. This protein, apparently devoid of enzymatic activity, is a powerful regulator of several intracellular pathways, suggesting that it has to interact with several molecular partners to modulate their activity. We used two-hybrid screening of a pre-transformed human testes cDNA library to identify some of these partners. One of them was the multifunctional protein Jab1, its interaction with p8 being confirmed by His6-pull down and co-immunoprecipitation assays. In addition, we could show that the two proteins co-localized in the cell. Our functional data demonstrate that Jab1 requires direct interaction with p8 to induce the translocation of p27 from nucleus to cytoplasm and its subsequent degradation. Experiments showing that the knock-down of p8 expression results in a strong inhibition of Jab1 activity confirmed that the mechanism by which Jab1 promotes cell growth by decreasing p27 level is p8-dependent.     

诱导表达p27对HEK293细胞生长代谢的影响

目的：研究诱导表达p27对HEK293细胞生长和代谢的影响。方法：将pTet—on载体和响应于Dox的p27诱导表达载体共转染HEK293细胞,随机挑选单克隆细胞株。以细胞周期分布和活细胞密度为主要观察指标,考察稳定转染的细胞在Dox诱导下的细胞生长;以Qglc、Qlac和Qgln为主要观察指标,考察转染细胞在Dox诱导下的细胞代谢。结：p27基因的表达使HEK293细胞的增殖速度显著降低,G1期细胞比例显著升高,葡萄糖消耗和乳酸生产减少。结论：诱导表达p27基因是对HEK293细胞进行G1期阻滞的一种有效策略。     

A cellular automaton model for tumour growth in inhomogeneous environment

Most of the existing mathematical models for tumour growth and tumour-induced angiogenesis neglect blood flow. This is an important factor on which both nutrient and metabolite supply depend. In this paper we aim to address this shortcoming by developing a mathematical model which shows how blood flow and red blood cell heterogeneity influence the growth of systems of normal and cancerous cells. The model is developed in two stages. First we determine the distribution of oxygen in a native vascular network, incorporating into our model features of blood flow and vascular dynamics such as structural adaptation, complex rheology and red blood cell circulation. Once we have calculated the oxygen distribution, we then study the dynamics of a colony of normal and cancerous cells, placed in such a heterogeneous environment. During this second stage, we assume that the vascular network does not evolve and is independent of the dynamics of the surrounding tissue. The cells are considered as elements of a cellular automaton, whose evolution rules are inspired by the different behaviour of normal and cancer cells. Our aim is to show that blood flow and red blood cell heterogeneity play major roles in the development of such colonies, even when the red blood cells are flowing through the vasculature of normal, healthy tissue.     

Notch signaling induces SKP2 expression and promotes reduction of p27Kip1 in T-cell acute lymphoblastic leukemia cell lines

In T-cell acute lymphoblastic leukemia (T-ALL) NOTCH 1 receptors are frequently mutated. This leads to aberrantly high Notch signaling, but how this translates into deregulated cell cycle control and the transformed cell type is poorly understood. In this report, we analyze downstream responses resulting from the high level of NOTCH 1 signaling in T-ALL. Notch activity, measured immediately downstream of the NOTCH 1 receptor, is high, but expression of the canonical downstream Notch response genes HES 1 and HEY 2 is low both in primary cells from T-ALL patients and in T-ALL cell lines. This suggests that other immediate Notch downstream genes are activated, and we found that Notch signaling controls the levels of expression of the E3 ubiquitin ligase SKP2 and its target protein p27Kip1. We show that in T-ALL cell lines, recruitment of NOTCH 1 intracellular domain (ICD) to the SKP2 promoter was accompanied by high SKP2 and low p27Kip1 protein levels. In contrast, pharmacologically blocking Notch signaling reversed this situation and led to loss of NOTCH 1 ICD occupancy of the SKP2 promoter, decreased SKP2 and increased p27Kip1 expression. T-ALL cells show a rapid G1-S cell cycle transition, while blocked Notch signaling resulted in G0/G1 cell cycle arrest, also observed by transfection of p27Kip1 or, to a smaller extent, a dominant negative SKP2 allele. Collectively, our data suggest that the aberrantly high Notch signaling in T-ALL maintains SKP2 at a high level and reduces p27Kip1, leading to more rapid cell cycle progression.     

诱导表达p27对HEK293细胞生长代谢的影响

目的:研究诱导表达p27对HEK293细胞生长和代谢的影响。方法:将pTet-on载体和响应于Dox的p27诱导表达载体共转染HEK293细胞,随机挑选单克隆细胞株。以细胞周期分布和活细胞密度为主要观察指标,考察稳定转染的细胞在Dox诱导下的细胞生长;以Qglc、Qlac和Qgln为主要观察指标,考察转染细胞在Dox诱导下的细胞代谢。结果:p27基因的表达使HEK293细胞的增殖速度显著降低,G1期细胞比例显著升高,葡萄糖消耗和乳酸生产减少。结论:诱导表达p27基因是对HEK293细胞进行G1期阻滞的一种有效策略。     

Effect of mouse Sim2 gene on the cell cycle of PC12 cells

Sim2 gene plays an important role in the pathogenesis of Down syndrome (DS). To observe the effect of mouse Sim2 (mSim2) on the cell cycle of PC12 cells in vitro and explore the role of Sim2 in the pathogenesis of DS, we cloned the full open reading frame of mSim2 into the pcDNA3 vector and transfected it into PC12 cells, before analysing the effect of mSim2 on the cell cycle. A eukaryotic expression vector of mSim2 (pcDNA3-mSim2) was successfully constructed. There was notable expression of mSim2 mRNA in the cells transfected with pcDNA3-Sim2. Flow cytometry showed that there were more cells in G(0)/G(1) phase in the Sim2-transfected cells than that in the controls (P < 0.01), and significantly fewer in G(2)/M phase (P < 0.01). The mRNA and protein expressions of cyclin E decreased in the Sim2-transfected cells, while p27 expression increased significantly (P < 0.01). It is concluded that Sim2 may play an important role in the pathogenesis of DS by inhibiting the cell cycle, which is related to the decreased expression of cyclin E and increased expression of p27.     

Modelling evolutionary cell behaviour using neural networks: Application to tumour growth

In this paper, we present a modelling framework for cellular evolution that is based on the notion that a cell’s behaviour is driven by interactions with other cells and its immediate environment. We equip each cell with a phenotype that determines its behaviour and implement a decision mechanism to allow evolution of this phenotype. This decision mechanism is modelled using feed-forward neural networks, which have been suggested as suitable models of cell signalling pathways. The environmental variables are presented as inputs to the network and result in a response that corresponds to the phenotype of the cell. The response of the network is determined by the network parameters, which are subject to mutations when the cells divide. This approach is versatile as there are no restrictions on what the input or output nodes represent, they can be chosen to represent any environmental variables and behaviours that are of importance to the cell population under consideration. This framework was implemented in an individual-based model of solid tumour growth in order to investigate the impact of the tissue oxygen concentration on the growth and evolutionary dynamics of the tumour. Our results show that the oxygen concentration affects the tumour at the morphological level, but more importantly has a direct impact on the evolutionary dynamics. When the supply of oxygen is limited we observe a faster divergence away from the initial genotype, a higher population diversity and faster evolution towards aggressive phenotypes. The implementation of this framework suggests that this approach is well suited for modelling systems where evolution plays an important role and where a changing environment exerts selection pressure on the evolving population.     

Integrated actions of progesterone receptor and cell cycle machinery regulate breast cancer cell proliferation

Multiple laboratories have investigated progesterone receptor (PR) involvement in breast cancer cell cycle progression. There is now a growing body of evidence demonstrating complex interactions between PR and cell cycle regulatory proteins. Here we review the current literature linking PR to cell cycle control and discuss gaps in the current knowledge. A more complete understanding of the relationships between PR and cell cycle regulatory molecules may reveal additional avenues for prevention and treatment of steroid receptor positive breast cancers.     

Recent progress in modelling and simulation of three-dimensional tumor growth and treatment

This paper illustrates how to apply methods of systems analysis, control theory and simulation to the field of biology and medicine. For this purpose normal and abnormal cell growth has been modelled at different levels. It was possible to simulate three-dimensional tumor growth and different kinds of treatment. The paper shows how tumor treatment may be optimized in the long run using computer simulation experiments as a powerful new tool prior to clinical therapy.     

A mathematical model of the effects of hypoxia on the cell-cycle of normal and cancer cells

The evolution of the cell-cycle is known to be influenced by environmental conditions, including lack of extracellular oxygen (hypoxia). Notably, hypoxia appears to have different effects on normal and cancer cells. Whereas both experience hypoxia-induced arrest of the G1 phase of the cell-cycle (i.e. delay in the transition through the restriction point), experimental evidence suggests that only cancer cells undergo hypoxia-induced quiescence (i.e. the transition of the cell to a latent state in which most of the cell functions, including proliferation, are suspended). Here, we extend a model for the cell-cycle due to Tyson and Novak (J. Theor. Biol. 210 (2001) 249) to account for the action of the protein p27. This protein, whose expression is upregulated under hypoxia, inhibits the activation of the cyclin dependent kinases (CDKs), thus preventing DNA synthesis and delaying the normal progression through the cell-cycle. We use a combination of numerical and analytic techniques to study our model. We show that it reproduces many features of the response to hypoxia of normal and cancer cells, as well as generating experimentally testable predictions. For example our model predicts that cancer cells can undergo quiescence by increasing their levels of p27, whereas for normal cells p27 expression decreases when the cellular growth rate increases.     

p27Kip1 expression by contact inhibition as a prognostic index of human glioma

The clinical manifestations of human glioma are known to be diverse, ranging from aggressive growth and invasion to apparent dormancy; however, the molecular mechanism underlying this diversity has been largely unexplored. In the present study, we characterized four human glioma cell lines, T98G, A172, U251, and NAC6, each of which has distinct growth properties. A172 and U251 cells continue to grow after confluency, whereas the growth of T98G and NAC6 cells is contact inhibited. Northern and western blot analyses revealed that at high cell density, the expression of p27Kip1 cyclin-dependent kinase inhibitor was dramatically enhanced at both the RNA and the protein levels in T98G and NAC6 cells but not in A172 or U251. These facts together with the finding that overexpression of p27Kip1 caused G1 arrest in A172 and T98G cells suggest that the induction of p27Kip1 represents an important determinant of growth at high cell density. Immunohistochemical analyses of 42 primary gliomas revealed an inverse correlation between the level of p27 protein and the Ki-67 proliferative index. Kaplan-Meier plots demonstrated that a low level of p27 in tumors is associated with decreased overall survival. Thus, disrupted regulation of p27 expression at high cell density may play an important role in determining the clinical behavior of human gliomas as well as the prognosis for glioma patients.     

CircBACH1 (hsa_circ_0061395) promotes hepatocellular carcinoma growth by regulating p27 repression via HuR

In recent years, an increasing number of circular RNAs (circRNAs) have been discovered in hepatocellular carcinoma (HCC). However, the functions of most circRNAs require further investigation. Here, we found that circBACH1 was significantly upregulated in HCC tissues and that high circBACH1 levels were closely associated with poor prognosis. In addition, circBACH1 could promote HCC growth by accelerating cell cycle progression in vitro and in vivo. We next investigated the cellular and molecular mechanisms and discovered that circBACH1 inhibited p27 translation, which influenced cell cycle progression. Moreover, we revealed that circBACH1 could combine directly with HuR using RNA immunoprecipitation assays, pull-down assays, and electrophoretic mobility shift assays. The combination of these molecules facilitated HuR translocation from the nucleus to the cytoplasm according to the fluorescence in situ hybridization and immunofluorescence results. Finally, silencing HuR abrogated circBACH1's inhibition of p27 translation and abolished the circBACH1-induced effect on HCC proliferation. In sum, circBACH1 plays a significant role as an oncogene through the circBACH1/HuR/p27 axis in HCC development.     

p38 MAP kinase negatively regulates angiotensin II-mediated effects on cell cycle molecules in human coronary smooth muscle cells

Many of the signaling events in VSMC stimulated by angiotensin II (AngII) are mediated by members of the mitogen-activated protein kinase (MAPK) family, including p38 MAPK. The role of p38 MAPK in AngII-mediated cell cycle regulation is poorly understood. Therefore, we examined the involvement of p38 MAPK signaling in AngII-stimulated DNA synthesis, phosphorylation of the retinoblastoma protein (Rb), and expression of the G1-phase cyclin D1 in human coronary artery smooth muscle cells (CASMC). AngII (1 microM) stimulated p38 MAPK and ERK1/2 activation. Pretreatment with the p38 MAPK inhibitors SB203580 (10 microM) (SB) or SKF-86002 (10 microM) (SKF) potently inhibited AngII-induced p38 MAPK activation, but enhanced AngII-mediated ERK1/2 activation. AngII-induced-phosphorylation of Rb (Ser 795 and Ser 807/811), -cyclin D1 expression, and -DNA synthesis was also markedly enhanced by pharmacological inhibition of the p38 MAPK pathway. The present study demonstrates that p38 MAPK negatively regulates AngII-induced ERK1/2 activity, Rb phosphorylation, cyclin D1 expression, and DNA-synthesis in human CASMC. These findings support an important role for p38 MAPK in modulating AngII-mediated VSMC hyperplasia.     

Cell sorting in cancer research—Diminishing degree of cell heterogeneity

Increasing evidence of intratumor heterogeneity and its augmentation due to selective pressure of microenvironment and recent achievements in cancer therapeutics lead to the need to investigate and track the tumor subclonal structure. Cell sorting of heterogeneous subpopulations of tumor and tumor-associated cells has been a long established strategy in cancer research. Advancement in lasers, computer technology and optics has led to a new generation of flow cytometers and cell sorters capable of high-speed processing of single cell suspensions. Over the last several years cell sorting was used in combination with molecular biological methods, imaging and proteomics to characterize primary and metastatic cancer cell populations, minimal residual disease and single tumor cells. It was the principal method for identification and characterization of cancer stem cells. Analysis of single cancer cells may improve early detection of tumors, monitoring of circulating tumor cells, evaluation of intratumor heterogeneity and chemotherapeutic treatments. The aim of this review is to provide an overview of major cell sorting applications and approaches with new prospective developments such as microfluidics and microchip technologies.