Fluctuations and noise in cancer development

This paper explores fluctuations and noise in various facets of cancer development. The three areas of particular focus are the stochastic progression of cells to cancer, fluctuations of the tumor size during treatment, and noise in cancer cell signalling. We explore the stochastic dynamics of tumor growth and response to treatment using a Markov model, and fluctutions in tumor size in response to treatment using partial differential equations. We also explore noise within gene networks in cancer cells, and noise in inter-cell signalling.Comment: 11 pages, 6 figure

Modeling Somatic Evolution in Tumorigenesis

Tumorigenesis in humans is thought to be a multistep process where certain mutations confer a selective advantage, allowing lineages derived from the mutated cell to outcompete other cells. Although molecular cell biology has substantially advanced cancer research, our understanding of the evolutionary dynamics that govern tumorigenesis is limited. This paper analyzes the computational implications of cancer progression presented by Hanahan and Weinberg in The Hallmarks of Cancer. We model the complexities of tumor progression as a small set of underlying rules that govern the transformation of normal cells to tumor cells. The rules are implemented in a stochastic multistep model. The model predicts that (i) early-onset cancers proceed through a different sequence of mutation acquisition than late-onset cancers; (ii) tumor heterogeneity varies with acquisition of genetic instability, mutation pathway, and selective pressures during tumorigenesis; (iii) there exists an optimal initial telomere length which lowers cancer incidence and raises time of cancer onset; and (iv) the ability to initiate angiogenesis is an important stage-setting mutation, which is often exploited by other cells. The model offers insight into how the sequence of acquired mutations affects the timing and cellular makeup of the resulting tumor and how the cellular-level population dynamics drive neoplastic evolution

Modeling a Snap-Action, Variable-Delay Switch Controlling Extrinsic Cell Death

When exposed to tumor necrosis factor (TNF) or TNF-related apoptosis-inducing ligand (TRAIL), a closely related death ligand and investigational therapeutic, cells enter a protracted period of variable duration in which only upstream initiator caspases are active. A subsequent and sudden transition marks activation of the downstream effector caspases that rapidly dismantle the cell. Thus, extrinsic apoptosis is controlled by an unusual variable-delay, snap-action switch that enforces an unambiguous choice between life and death. To understand how the extrinsic apoptosis switch functions in quantitative terms, we constructed a mathematical model based on a mass-action representation of known reaction pathways. The model was trained against experimental data obtained by live-cell imaging, flow cytometry, and immunoblotting of cells perturbed by protein depletion and overexpression. The trained model accurately reproduces the behavior of normal and perturbed cells exposed to TRAIL, making it possible to study switching mechanisms in detail. Model analysis shows, and experiments confirm, that the duration of the delay prior to effector caspase activation is determined by initiator caspase-8 activity and the rates of other reactions lying immediately downstream of the TRAIL receptor. Sudden activation of effector caspases is achieved downstream by reactions involved in permeabilization of the mitochondrial membrane and relocalization of proteins such as Smac. We find that the pattern of interactions among Bcl-2 family members, the partitioning of Smac from its binding partner XIAP, and the mechanics of pore assembly are all critical for snap-action control

Endogenous Replication Stress in Mother Cells Leads to Quiescence of Daughter Cells.

Mammalian cells have two fundamentally different states, proliferative and quiescent, but our understanding of how and why cells switch between these states is limited. We previously showed that actively proliferating populations contain a subpopulation that enters quiescence (G0) in an apparently stochastic manner. Using single-cell time-lapse imaging of CDK2 activity and DNA damage, we now show that unresolved endogenous replication stress in the previous (mother) cell cycle prompts p21-dependent entry of daughter cells into quiescence immediately after mitosis. Furthermore, the amount of time daughter cells spend in quiescence is correlated with the extent of inherited damage. Our study thus links replication errors in one cell cycle to the fate of daughter cells in the subsequent cell cycle. More broadly, this work reveals that entry into quiescence is not purely stochastic but has a strong deterministic component arising from a memory of events that occurred in the previous generation(s).</p

High prevalence and diversity of species D adenoviruses (HAdV-D) in human populations of four Sub-Saharan countries

Abstract. Background: Human adenoviruses of species D (HAdV-D) can be associated with acute respiratory illness, epidemic ker

Exploring the Contextual Sensitivity of Factors that Determine Cell-to-Cell Variability in Receptor-Mediated Apoptosis

Stochastic fluctuations in gene expression give rise to cell-to-cell variability in protein levels which can potentially cause variability in cellular phenotype. For TRAIL (TNF-related apoptosis-inducing ligand) variability manifests itself as dramatic differences in the time between ligand exposure and the sudden activation of the effector caspases that kill cells. However, the contribution of individual proteins to phenotypic variability has not been explored in detail. In this paper we use feature-based sensitivity analysis as a means to estimate the impact of variation in key apoptosis regulators on variability in the dynamics of cell death. We use Monte Carlo sampling from measured protein concentration distributions in combination with a previously validated ordinary differential equation model of apoptosis to simulate the dynamics of receptor-mediated apoptosis. We find that variation in the concentrations of some proteins matters much more than variation in others and that precisely which proteins matter depends both on the concentrations of other proteins and on whether correlations in protein levels are taken into account. A prediction from simulation that we confirm experimentally is that variability in fate is sensitive to even small increases in the levels of Bcl-2. We also show that sensitivity to Bcl-2 levels is itself sensitive to the levels of interacting proteins. The contextual dependency is implicit in the mathematical formulation of sensitivity, but our data show that it is also important for biologically relevant parameter values. Our work provides a conceptual and practical means to study and understand the impact of cell-to-cell variability in protein expression levels on cell fate using deterministic models and sampling from parameter distributions

Concurrent Oral 9 - Rheumatoid Arthritis: Aetiopathogenesis [OP59-OP64]: OP59. The Value of Interleukin-17 Serum Level in Rheumatoid Arthritis Immunopathogenesis

Background: Interleukin (IL)-17 is the main Th-1 cytokine, produced by activated T-lymphocytes. The potential IL-17 value in rheumatoid arthritis (RA) pathogenesis consists of its independent inflammatory response induction and mediated stimulation of proinflammatory factors synthesis resulting in joint destruction. The aim of study was to determine the role of IL-17 in immuno-inflammatory/autoimmune reactions development and to reveal IL-17 serum level associations with clinical and immunological characteristics of RA. Methods: 50 patients with early RA (disease duration >, Russia), anti-CCP antibodies (Axies-Shield Diagnostic, UK) were revealed using ELISA immunoassay. Results: On the base of IL-17 serum level patients were divided in two groups: group1 (n = 28) were patients with normal IL-17 serum level and group2 (n = 22) were those with high IL-17 serum level. In the group2, the rate of patients' pain assessment by visual analogue scale (67.3 ± 7.2 vs 32.8 ± 4.6; P < 0.001), tender (16.7 ± 2.0 vs 8.4 ± 1.1; P < 0.01) and swollen (12.3 ± 2.3 vs 3.9 ± 0.8; P < 0.01) joint count, DAS28 (5.0 ± 0.4 vs 2.8 ± 0.2 P < 0.01) were significantly higher compare to group1. It was found that in group2 the higher T-lymphocyte amount (CD3) was due to CD4 higher quantity, at the same time CD8 amount was significantly lower (22.2 ± 1.5% vs 28.4 ± 1.7%, P < 0.05) compare to group1. This caused the immunoregulative index increasing and indicated in the lost of autoimmune process regulation, including B-lymphocytes (CD19) activation. The CD154 expression was significantly lower in the group2 (3.4 ± 0.4% vs 10.8 ± 2.8%, P < 0.05) compare to group1. The difference in autoimmune reaction indices wasn't significant between groups except antibody-producing B-lymphocytes (13.7 ± 1.5% vs 8.5 ± 1.0%, P < 0.05) and IgM RF serum level (2.9 ± 0.3 U/ml vs 1.6 ± 0.5 U/ml, P < 0.05), which were significantly higher in group1. The IL-17 level had a positive correlative connections with DAS28 (r = 0.7; P < 0.05), circulative immune complex level (r = 0.38; P < 0.05), anti-CCP antibodies (r = 0.4; P < 0.05), IgM RF (r = 0.41; P < 0.05), CD4 (r = 0.38; P < 0.05) and negative correlative connection with CD8 (r = -0.39; P < 0.05). Conclusions: The importance of IL-17 value in immuno-inflammatory and autoimmune reactions development through T-lymphocytes activation in RA pathogenesis was confirmed. Thus the influence on T-depended immuno-inflammatory reaction products synthesis could be a new therapeutic target of RA patients' management. Disclosure statement: All authors have declared no conflicts of interes