Increased antimetabolite sensitivity with variation of carbon source during growth.

In Serratia marcescens, analogs of leucine (norleucine), methionine (alpha-methylmethionine), histidine (3-amino-1,2,4-triazolealanine), tyrosine (p-aminophenylalanine), and tryptophan (7-methylindole) are conditional inhibitors of growth; inhibition occurs during the metabolism of some carbon sources but not with others. A further increase in sensitivity to growth inhibition by these analogs can be accomplished through the use of particular combinations of carbon sources present in the inoculum and in the subsequent analog-containing culture medium. Variable sensitivity to analog-mediated inhibition of growth observed during growth on glucose, glycerol, fructose, or citrate correlated inversely with the intracellular pool sizes of the amino acids cognate to the analogs used. The above-cited results, in conjunction with previous results obtained with Pseudomonas aeruginosa and Bacillus subtilis, involve diverse biochemical pathways and suggest that nutritional manipulation to alter the pattern of carbon flow in microorganisms is a generally useful means to accomplish increased sensitivity to growth inhibition by metabolite analogs.     

Metabolic cooperation in CHO and V79 cells following treatment with a tumor promoter

Tumor promoters are a class of chemicals which, when given to cells in vitro or to organisms that have been previously exposed to physical or chemical carcinogens, decrease the latency period for the appearance of transformed colonies or tumors. 12-O-tetradecanoyl phorbol-13-acetate (TPA), a powerful tumor promoter, has been shown to inhibit metabolic cooperation in V79 Chinese hamster cells and rat hepatocytes as well as between mouse epidermal and 3T3 cells. We report comparative studies utilizing V79 and CHO cells indicating that metabolic cooperation is inhibited by TPA in V79 cells while CHO cells show the opposite response with a slight enhancement of metabolic cooperation following promoter treatment. We speculate that these observations are the result of membrane differences between these cell lines.     

Delayed tumor growth caused by a combined treatment with BCG and Pseudomonas aeruginosa

Summary Sera from mice treated i.v. with 1 mg BCG, followed 14 days later by 0.1 ml (10⁸ killed organisms) of Pseudomonas aeruginosa have shown the capacity to induce tumor necrosis when injected into mice bearing subcutaneous transplants either of a methyl-cholanthrene-induced sarcoma or of the P815 mastocytoma. Furthermore, immunotherapeutic trials were performed in mice bearing a subcutaneous transplanted sarcoma by combining BCG and low doses (0.01 to 0.05 ml) of Pseudomonas. Tumor necrosis was detectable 24 hours later only in the group treated by both BCG and Pseudomonas. In this group, we have also observed a significant decrease of tumor size in comparison with the groups of mice receiving BCG or Pseudomonas alone or no treatment.     

Metabolic shifts toward glutamine regulate tumor growth,invasion and bioenergetics in ovarian cancer

Glutamine can play a critical role in cellular growth in multiple cancers. Glutamine‐addicted cancer cells are dependent on glutamine for viability, and their metabolism is reprogrammed for glutamine utilization through the tricarboxylic acid (TCA) cycle. Here, we have uncovered a missing link between cancer invasiveness and glutamine dependence. Using isotope tracer and bioenergetic analysis, we found that low‐invasive ovarian cancer (OVCA) cells are glutamine independent, whereas high‐invasive OVCA cells are markedly glutamine dependent. Consistent with our findings, OVCA patients’ microarray data suggest that glutaminolysis correlates with poor survival. Notably, the ratio of gene expression associated with glutamine anabolism versus catabolism has emerged as a novel biomarker for patient prognosis. Significantly, we found that glutamine regulates the activation of STAT3, a mediator of signaling pathways which regulates cancer hallmarks in invasive OVCA cells. Our findings suggest that a combined approach of targeting high‐invasive OVCA cells by blocking glutamine's entry into the TCA cycle, along with targeting low‐invasive OVCA cells by inhibiting glutamine synthesis and STAT3 may lead to potential therapeutic approaches for treating OVCAs.     

Reduction of TGF-beta activity abrogates growth promoting tumor cell-cell interactions in vivo.

We have shown in previous studies that metastatically-competent variant subpopulations (B5, C1) derived from a non-metastatic murine mammary adenocarcinoma (SP1) have a pronounced growth advantage over their non-metastatic tumor cell counterparts in primary tumors. As a result, primary tumors can be progressively overgrown by cells having the competence to spread elsewhere in the body. This occurs despite any evidence to indicate an intrinsic in vivo growth rate advantage of the metastatic cells when grown as isolated populations. This suggested that cell-cell interactions between metastatic and non-metastatic tumor populations may be involved in the metastatic cell growth dominance process. Evidence was therefore sought for growth factors released by SP1 cells which could preferentially stimulate the B5 or C1 variants and thereby mediate this cell-cell interaction process. We found that cocultures of SP1 and C1 or B5 cells with irradiated C1, B5, or SP1 "feeder" cells showed significant stimulation of C1 and B5 by SP1 "feeder" cells. Cell growth stimulation in response to EGF, TGF-alpha, TGF-beta 1, bFGF, PDGF, NGF, IGF-1, or IGF-2 demonstrated that only TGF-beta 1 could duplicate this effect. A repeat of the coculture experiment in the presence of specific neutralizing anti-TGF-beta antibodies was therefore undertaken and this was found to markedly reduce the stimulation of C1 or B5 cells by irradiated SP1 cells. Conditioned media from the SP1 and C1 cell lines was quantitated for TGF-beta activity and contained 4.5 ng/ml and 2.0 ng/ml, respectively. However, the majority of the TGF-beta released by SP1 cells was found to be spontaneously active, whereas 70% of the TGF-beta released by C1 cells was in its latent form. Scatchard analysis revealed approximately four times the number of TGF-beta receptors, of similar type and affinity, present on C1 as compared with SP1 cells. The in vitro results support the hypothesis that active TGF-beta released by SP1 cells may stimulate the proliferation of metastatic variant cells in a paracrine like fashion. In vivo evidence for this was obtained by showing that coinjection of irradiated SP1 cells could selectively stimulate tumor growth of viable C1 cells and this effect was markedly diminished by neutralizing polyclonal anti-TGF-beta antibodies. Taken together, the results suggest a novel role for TGF-beta in clonal evolution of malignant tumor growth and as a molecular mediator of tumor cell-tumor cell interactions involved in facilitating tumor progression.     

Reduction in soluble guanylyl cyclase-specific activity following prolonged treatment of porcine pulmonary artery with nitric oxide

In a newly characterized cultured porcine pulmonary artery (PA) preparation, 24-h treatment with the nitric oxide (NO) donor (Z)-1-[N-(2-aminoethyl)-N-(2-ammonioethyl)amino]diazen-1-ium-1,2-diolate (DETA-NO) decreased the response to acutely applied DETA-NO compared with 24-h control (-log EC(50) 6.55 +/- 0.12 and 5.02 +/- 0.21, respectively). Treatment of PA with the cell-permeable superoxide dismutase mimetic, Mn(III) tetra(4-benzoic acid) porphyrin chloride, did not change NO responsiveness in either freshly prepared or 24-h DETA-NO-treated PA. cGMP and cAMP phosphodiesterase activities were approximately equal in PA. Twenty-four-hour DETA-NO treatment did not change either cGMP or cAMP phosphodiesterase activities. Twenty-four hours in culture had no significant effect on soluble guanylyl cyclase (sGC) subunit mRNA expression, but 24-h DETA-NO treatment significantly decreased the expression of both sGCalpha(1) and sGCbeta(1). sGCbeta(1) protein expression was 42 +/- 4 ng/mg soluble protein. Twenty-four hours in culture without and with DETA-NO reduced sGCbeta(1) protein expression (36 +/- 3 and 31 +/- 3 ng/mg soluble protein, respectively, P < 0.025). Basal tissue cGMP [(cGMP)(i)] was significantly increased, and NO-induced (cGMP)(i) was significantly decreased by 24-h DETA-NO treatment. (cGMP)(i) normalized to the amount of sGC protein expressed in PA was significantly lower in PA treated for 24 h with DETA-NO compared with both freshly isolated and 24-h cultured PA. We conclude that prolonged NO treatment induces decreased acute NO responsiveness in part by decreasing both sGC expression and sGC-specific activity.     

Modeling growth of a heterogeneous tumor

It has long been recognized that the growth of tumor population depends on the initial age distribution of the cells in the tumor and the age-dependent cellular birth rate. Deterministic dual-cell models have been available for sometime; these models take into account the effects of the resultant cell heterogeneity. Nevertheless, these models ignore various variables significantly affecting the growth, such as those characterizing the cells' inherent properties and environmental factors. Uncertainties, or fluctuations, arise when the growth is simulated with the models. Stochastic analysis of these fluctuations is the focus of the current work.Two types of cells are visualized to proliferate separately and to transform mutually during the process. The master equations of the system have been formulated through probabilistic population balance around a particular state by considering all mutually exclusive events. The governing equations for the means, variances, and covariance of the random variables have been derived through the system-size expansion of these nonlinear master equations. The stochastic pathways of the two different types of cells have been numerically simulated by the algorithm derived from the master equation for two different physical situations, one without and, the other, with the chemotherapeutic treatment. The results of the current study illuminate the significance of stochastically modeling the responses of the tumor to a variety of medicinal treatments: The coefficient of variation of the malignant cells' population magnifies with time under chemotherapeutic regimens. Consequently, the impact of the uncertainties in the exact number of malignant cells as expressed by this coefficient of variation is highly unpredictable. For example, it becomes increasingly uncertain if or how fast these cells will reactivate to become a full-blown carcinogenic tumor after treatment.     

Modeling of self-organized avascular tumor growth with a hybrid cellular automaton

Pattern formation in multicellular spheroids is addressed with a hybrid lattice-gas cellular automaton model. Multicellular spheroids serve as experimental model system for the study of avascular tumor growth. Typically, multicellular spheroids consist of a necrotic core surrounded by rings of quiescent and proliferating tumor cells, respectively. Furthermore, after an initial exponential growth phase further spheroid growth is significantly slowed down even if further nutrient is supplied. The cellular automaton model explicitly takes into account mitosis, apoptosis and necrosis as well as nutrient consumption and a diffusible signal that is emitted by cells becoming necrotic. All cells follow identical interaction rules. The necrotic signal induces a chemotactic migration of tumor cells towards maximal signal concentrations. Starting from a small number of tumor cells automaton simulations exhibit the self-organized formation of a layered structure consisting of a necrotic core, a ring of quiescent tumor cells and a thin outer ring of proliferating tumor cells.     

Variation of antimetabolite sensitivity with different carbon sources inBacillus subtilis

The susceptibility ofBacillus subtilis to amino acid analogues was found to be markedly influenced by the carbon source used in the test media. Thialysine inhibited the bacterium with a greater number of carbon sources than the other two analogues tested. 5-Hydroxylysine was inhibitory with glycerol, lactose,D-xylose,L-arabinose and soluble starch while ethionine showed toxicity with lactose,D-xylose andL-arabinose. None of these analogues were toxic at the levels tested whenD-galactose was used as carbon source. The bacterium was not susceptible to thialysine with glycerol, to 5-hydroxylysine withL-arabinose and to ethionine with lactose.     

Modeling tumor growth with random onset

The longitudinal assessment of tumor volume is commonly used as an endpoint in small animal studies in cancer research. Groups of genetically identical mice are injected with mutant cells from clones developed with different mutations. The interest is on comparing tumor onset (i.e., the time of tumor detection) and tumor growth after onset, between mutation groups. This article proposes a class of linear and nonlinear growth models for jointly modeling tumor onset and growth in this situation. Our approach allows for interval-censored time of onset and missing-at-random dropout due to early sacrifice, which are common situations in animal research. We show that our approach has good small-sample properties for testing and is robust to some key unverifiable modeling assumptions. We illustrate this methodology with an application examining the effect of different mutations on tumorigenesis.