Search

The tumor microenvironment contributes significantly to tumor initiation, progression, and resistance to chemotherapy. Much of our understanding of the tumor and its microenvironment is developed using various methods of cell culture. Throughout the last two decades, research has increasingly shown that 3D cell culture systems can remarkably recapitulate the complexity of tumor architecture and physiology compared to traditional 2D models. Unlike the flat culture system, these novel models enabled more cell-cell and cell-extracellular matrix interactions. By mimicking in vivo microenvironment, 3D culture systems promise to become accurate tools ready to be used in diagnosis, drug screening, and personalized medicine. In this review, we discussed the importance of 3D culture in simulating the tumor microenvironment and focused on the effects of cancer cell-microenvironment interactions on cancer behavior, resistance, proliferation, and metastasis. Finally, we assessed the role of 3D cell culture systems in the contexts of drug screening. 2D culture system is used to study cancer cell growth, progression, behavior, and drug response. It provides contact between cells and supports paracrine crosstalk between host cells and cancer cells. However, this system fails to simulate the architecture and the physiological aspects of in vivo tumor microenvironment due to the absence of cell-cell/ cell-ECM interactions as well as unlimited access to O 2 and nutrients, and the absence of tumor heterogeneity. Recently advanced research has led researchers to generate 3D culture system that can better recapitulate the in vivo environment by providing hypoxic medium, facilitating cell-cell and cell-ECM, interactions, and recapitulating heterogeneity of the tumor. Several approaches are used to maintain and expand cancer cells in 3D culture systems such as tumor spheroids (cell aggregate that mimics the in vivo growth of tumor cells), scaffold-based approaches, bioreactors, microfluidic derives, and organoids. 3D systems are currently used for disease modeling and pre-clinical drug testing., (© 2021. The Author(s) under exclusive licence to Japan Human Cell Society.)

Prostate cancer is the second most commonly diagnosed cancer in men and one of the main leading causes of cancer deaths among men worldwide. Rapid uncontrolled growth and the ability to metastasize to other sites are key hallmarks in cancer development and progression. The Rho family of GTPases and its activators the GTPase-activating proteins (GAPs) are required for regulating cancer cell proliferation and migration. StarD13 is a GAP for Rho GTPases, specifically for RhoA and Cdc42. We have previously shown that StarD13 acts as a tumor suppressor in astrocytoma as well as breast and colorectal cancer. In this study, we performed a functional comparative analysis of StarD13 targets/and or interacting molecules to understand the general role that StarD13 plays in cancers. Our data highlight the importance of StarD13 in modulating several hallmarks of cancer. Findings from database mining and immunohistochemistry revealed that StarD13 is underexpressed in prostate cancers, in addition knocking down Stard13 increased cancer cell proliferation, consistent with its role as a tumor suppressor. Stard13 depletion, however, led to an increase in cell adhesion, which inhibited 2D cell migration. Most interestingly, StarD13 depletion increases invasion and matrix degradation, at least in part, through its regulation of Cdc42. Altogether, the data presented suggest that StarD13 acts as a tumor suppressor inhibiting prostate cancer cell invasion.

Deregulating cellular energetics by reprogramming metabolic pathways, including arginine metabolism, is critical for cancer cell onset and survival. Drugs that target the specific metabolic requirements of cancer cells have emerged as promising targeted cancer therapeutics. In this study, we investigate the therapeutic potential of targeting colon cancer cells using arginine deprivation induced by a pegylated cobalt-substituted recombinant human Arginase I [HuArgI (Co)-PEG5000]. Four colon cancer cell lines were tested for their sensitivity to [HuArgI (Co)-PEG5000] as well as for their mechanism of cell death following arginine deprivation. All four cell lines were sensitive to arginine deprivation induced by [HuArgI (Co)-PEG5000]. All cells expressed ASS1 and were rescued from arginine deprivation-induced cytotoxicity by the addition of excess L-citrulline, indicating they are partially auxotrophic for arginine. Mechanistically, cells treated with [HuArgI (Co)-PEG5000] were negative for AnnexinV and lacked caspase activation. Further investigation revealed that arginine deprivation leads to a marked and prolonged activation of autophagy in both Caco-2 and T84 cell lines. Finally, we show that [HuArgI (Co)-PEG5000] causes cell death by sustained activation of autophagy as evidenced by the decrease in cell cytotoxicity upon treatment with chloroquine, an autophagy inhibitor. Altogether, these data demonstrate that colon cancer cells are partially auxotrophic for arginine and sensitive to [HuArgI (Co)-PEG5000]-induced arginine deprivation. They also show that the activation of autophagy does not play protective roles but rather, induces cytotoxicity and leads to cell death.

StarD13 is a tumor suppressor and a GTPase activating protein (GAP) for Rho GTPases. Thus, StarD13 regulates cell survival pathways and induces apoptosis in a p53-dependent and independent manners. In tumors, StarD13 is either downregulated or completely inhibited, depending on the tumor type. As such, and through the dysregulation of Rho GTPases, this affects adhesion dynamics, actin dynamics, and leads to an increase or a decrease in tumor metastasis depending on the tumor grade and type. Being a key regulatory protein, StarD13 is a potential promising candidate for therapeutic approaches. This paper reviews the key characteristics of this protein and its role in tumor malignancies.

In this study, we assess arginine auxotrophy in ovarian cancer cells and attempt to target them using arginine deprivation induced by a pegylated recombinant human Arginase I cobalt [HuArgI (Co)-PEG5000]. Ovarian cancer cells were sensitive to [HuArgI (Co)-PEG5000]-induced arginine deprivation with IC 50 values in the low pM range. Addition of excess L-citrulline rescued only one of three cell lines tested, indicating that the majority of cell lines are completely auxotrophic for arginine. The expression pattern of argininosuccinate synthetase (ASS1) confirmed the degree of auxotrophy of ovarian cancer cell lines with completely auxotrophic cells not expressing ASS1 and partially auxotrophic cells expressing the enzyme. Ovarian cancer cell lines were negative for annexinV staining while showing loss of membrane integrity and absence of caspase activation, indicating caspase-independent, non-apoptotic cell death. [HuArgI (Co)-PEG5000]-induced arginine deprivation led to extensive and prolonged activation of autophagy, which proved to be deleterious to cell survival since its inhibition led to a significant decrease in cytotoxicity. This indicates that the activation of autophagy following arginine-deprivation, rather than being protective, mediates cell cytotoxicity leading to death by autophagy.

In this study, we attempt to target Arginine auxotrophy in glioblastoma multiforme (GBM) cells using a pegylated recombinant human Arginase I cobalt [HuArgI (Co)-PEG5000]. We tested and characterized the activity of HuArgI (Co)-PEG5000 on a panel of 9 GBM cell lines and on human fetal glial cells (SVG-p12). HuArgI (Co)-PEG5000 was cytotoxic to all GBM cells tested. SVG-p12 cells were not sensitive demonstrating the selective cytotoxicity of HuArgI (Co)-PEG5000-induced arginine deprivation. Addition of L-citrulline led to the rescue of 6 GBM cell lines but only at concentrations of 11.4 mM, reflecting the extent of arginine auxotrophy in GBM. The ability of L-citrulline to rescue cells was dependent on the expression of argininosuccinate synthetase-1 (ASS1) with the cells that were not rescued by L-citrulline being negative for ASS1 expression. Knocking-down ASS1 reversed the ability of L-citrulline to rescue GBM cells, further illustrating the dependence of arginine auxotrophy on ASS1 expression. Inhibition of autophagy increased cell sensitivity to HuArgI (Co)-PEG5000 indicating that, following arginine deprivation, autophagy plays a protective role in GBM cells. Analysis of the type of cell death revealed a lack of AnnexinV staining and caspase activation in HuArgI (Co)-PEG5000-treated cells, indicating that arginine deprivation induces caspase-independent, non-apoptotic cell death in GBM. We have shown that GBM cells are auxotrophic for arginine and can be selectively targeted using HuArgI (Co)-PEG5000-induced arginine depletion, thus demonstrating that L-Arginine deprivation is a potent and selective potential treatment for GBM.

Gliomas are the most common type of malignant primary brain tumor in humans, accounting for 80 % of malignant cases. Expression and activity of Rho GTPases, which coordinate several cellular processes including cell-cycle progression and cell migration, are commonly altered in many types of primary brain tumor. Here we review the suggested effects of deregulated Rho GTPase signaling on brain tumor malignancy, highlighting the controversy in the field. For instance, whereas expression of RhoA and RhoB has been found to be significantly reduced in astrocytic tumors, other studies have reported Rho-dependent LPA-induced migration in glioma cells. Moreover, whereas the Rac1 expression level has been found to be reduced in astrocytic tumor, it was overexpressed and induced invasion in medulloblastoma tumors. In addition to the Rho GTPases themselves, several of their downstream effectors (including ROCK, mDia, and N-WASP) and upstream regulators (including GEFs, GAPs, PI3K, and PTEN) have also been implicated in primary brain tumors.

Coronary artery disease (CAD) is a complex disease with various components, genetic as well as environmental. Previous reports correlating ALOX5AP gene variants and CAD showed conflicting results depending on the population studied. In this study, we examined the contribution of ALOX5AP genetic predisposition to CAD in a group of CAD patients and controls carefully selected from the Lebanese population. We genotyped SNPs for ALOX5AP variants in 289 catheterized patients aged ≤52 years with >50% stenosis in at least one main coronary artery and 227 catheterized control subjects aged 60 years and above with 0% stenosis. Chi-square (χ (2)) tests and logistic regression showed no significant difference in the allele and genotype frequencies between the CAD or myocardial infarction (MI) cases and the healthy controls. Haplotype analysis using PHASE showed that the distribution of the risk haplotypes among cases and controls were not significantly different and had no attributable risk to CAD (P = 1.00 and P = 0.5, respectively) or MI (P = 0.2 and P = 0.5, respectively). Our data revealed that ALOX5AP gene variants are not predictors of CAD risk or MI risk among Lebanese patients.