Tumor progression in hepatocellular carcinoma: Relationship with tumor stroma and parenchymal disease

Background: Encapsulation in hepatocellular carcinoma is associated with decreased invasiveness and improved survival in several series. Although active fibrogenesis by myofibroblasts has been demonstrated in the capsule, it is unclear if the capsule results from a general increase in peritumoral fibrosis, or an inherently less invasive tumor phenotype. The relationship between collagen deposition within tumor stroma, presence of cirrhosis and invasiveness also needs clarification. Methods: We performed immunohistochemistry for collagens I, III, IV and VI on sections of encapsulated and non-encapsulated hepatocellular carcinoma, arising in cirrhotic and non-cirrhotic livers. Staining was graded semi-quantitatively in tumor stromal elements and adjacent parenchymal sinusoids. The relationship of this staining with encapsulation, cirrhosis, and vascular invasion was analyzed. Results: Formation of a discrete capsular layer was associated with reduced vascular invasion, but not with a pervasive increase in peritumoral fibrosis. Increased collagen I content of tumor stroma and adjacent parenchymal sinusoids was associated with non-encapsulated tumors and vascular invasion. The presence of cirrhosis had little effect on capsule composition. Conclusions: Encapsulation of hepatocellular carcinoma reflects reduced invasiveness, rather than increased peritumoral collagen synthesis, which may instead enhance invasion. Increased intratumoral collagen I protein is also associated with increased tumor invasiveness. Pre-existing cirrhosis has little effect on tumor progression, possibly because the characteristics of cirrhosis are overwhelmed by tumor-induced changes in the adjacent parenchyma.(C) 2003 Blackwell Publishing Asia Pty Ltd.

Detecting finite bandwidth periodic signals in stationary noise using the signal coherence spectrum

All signals that appear to be periodic have some sort of variability from period to period regardless of how stable they appear to be in a data plot. A true sinusoidal time series is a deterministic function of time that never changes and thus has zero bandwidth around the sinusoid's frequency. A zero bandwidth is impossible in nature since all signals have some intrinsic variability over time. Deterministic sinusoids are used to model cycles as a mathematical convenience. Hinich [IEEE J. Oceanic Eng. 25 (2) (2000) 256-261] introduced a parametric statistical model, called the randomly modulated periodicity (RMP) that allows one to capture the intrinsic variability of a cycle. As with a deterministic periodic signal the RMP can have a number of harmonics. The likelihood ratio test for this model when the amplitudes and phases are known is given in [M.J. Hinich, Signal Processing 83 (2003) 1349-13521. A method for detecting a RMP whose amplitudes and phases are unknown random process plus a stationary noise process is addressed in this paper. The only assumption on the additive noise is that it has finite dependence and finite moments. Using simulations based on a simple RMP model we show a case where the new method can detect the signal when the signal is not detectable in a standard waterfall spectrograrn display. (c) 2005 Elsevier B.V. All rights reserved.

Redundant roles of Sox17 and Sox18 in postnatal angiogenesis in mice

Sox7, Sox17 and Sox18 constitute group F of the Sox family of HMG box transcription factor genes. Dominant-negative mutations in Sox18 underlie the cardiovascular defects observed in ragged mutant mice. By contrast, Sox18(-/-) mice are viable and fertile, and display no appreciable anomaly in their vasculature, suggesting functional compensation by the two other SoxF genes. Here, we provide direct evidence for redundant function of Sox17 and Sox18 in postnatal neovascularization by generating Sox17(+/-)-Sox18(-/-) double mutant mice. Whereas Sox18(-/-) and Sox17(+/-)-Sox18(+/)-mice showed no vascular defects, approximately half of the Sox17(+/-)-Sox18(-/-) pups died before postnatal day 21 (P21). They showed reduced neovascularization in the liver sinusoids and kidney outer medulla vasa recta at P7, which most likely caused the ischemic necrosis observed by P14 in hepatocytes and renal tubular epithelia. Those that survived to adulthood showed similar, but milder, vascular anomalies in both liver and kidney, and females were infertile with varying degrees of vascular abnormalities in the reproductive organs. These anomalies corresponded with sites of expression of Sox7 and Sox17 in the developing postnatal vasculature. In vitro angiogenesis assays, using primary endothelial cells isolated from the P7 livers, showed that the Sox17(+/-)-Sox18(-/-)endothelial cells were defective in endothelial sprouting and remodeling of the vasculature in a phenotype-dependent manner. Therefore, our findings indicate that Sox17 and Sox18, and possibly all three SoxF genes, are cooperatively involved in mammalian vascular development.

Physiologically based synthetic models of hepatic disposition

Current Physiologically based pharmacokinetic (PBPK) models are inductive. We present an additional, different approach that is based on the synthetic rather than the inductive approach to modeling and simulation. It relies on object-oriented programming A model of the referent system in its experimental context is synthesized by assembling objects that represent components such as molecules, cells, aspects of tissue architecture, catheters, etc. The single pass perfused rat liver has been well described in evaluating hepatic drug pharmacokinetics (PK) and is the system on which we focus. In silico experiments begin with administration of objects representing actual compounds. Data are collected in a manner analogous to that in the referent PK experiments. The synthetic modeling method allows for recognition and representation of discrete event and discrete time processes, as well as heterogeneity in organization, function, and spatial effects. An application is developed for sucrose and antipyrine, administered separately and together PBPK modeling has made extensive progress in characterizing abstracted PK properties but this has also been its limitation. Now, other important questions and possible extensions emerge. How are these PK properties and the observed behaviors generated? The inherent heuristic limitations of traditional models have hindered getting meaningful, detailed answers to such questions. Synthetic models of the type described here are specifically intended to help answer such questions. Analogous to wet-lab experimental models, they retain their applicability even when broken apart into sub-components. Having and applying this new class of models along with traditional PK modeling methods is expected to increase the productivity of pharmaceutical research at all levels that make use of modeling and simulation.