LONGITUDINAL GROWTH PARAMETERS AND THEIR ECOLOGICAL DETERMINANTS (SEASONALITY)

The growth patterns of weight from birth through the first twelve months of life among rural Taiwanese infants were investigated with the following objectives: (i) compare each of the parameters of the Count model estimated for infants who were nutritionally at risk with those for a reference population from the United States; and (ii) within the Taiwanese infants, account for the variance in the growth patterns in the first and second six months of life on the basis of selected ecological factors.^ The significance between group differences were observed in the patterns of the weight growth in both linear growth and in the timing and the direction of velocity changes. A significant decline in growth velocity was observed among Taiwanese infants at about the fourth month of life. The decline is in keeping with a recent proposal made by J. C. Waterlow regarding the timing of change in growth velocity among nutritionally at risk populations in developing countries. The growth course of a nutritionally at risk infant during the first three months is apparently protected by the nurturance of the mother and innate biological properties of the infant.^ A highly significant portion of the growth variance in the second six months of life was accounted for by exogenous factors and biological factors related to the infant. Conversely, none of the growth variance in the first six months of life was accounted for by predictor variables. The most potent determinant of growth in the second six months of life was seasonality which represents a multiple environmental event.^ The model parameters estimated from the Count model represent different aspect of physical growth; yet the correlation coefficients between parameters b and c are high (r > .80). Clearly, the biological interpretation of the model parameters requires analysis of the whole function in the specific context of a given age period. ^

Outcomes of safety and effectiveness in a multicenter randomized, controlled trial of whole-body hypothermia for neonatal hypoxic-ischemic encephalopathy.

BACKGROUND: Whole-body hypothermia reduced the frequency of death or moderate/severe disabilities in neonates with hypoxic-ischemic encephalopathy in a randomized, controlled multicenter trial. OBJECTIVE: Our goal was to evaluate outcomes of safety and effectiveness of hypothermia in infants up to 18 to 22 months of age. DESIGN/METHODS: A priori outcomes were evaluated between hypothermia (n = 102) and control (n = 106) groups. RESULTS: Encephalopathy attributable to causes other than hypoxia-ischemia at birth was not noted. Inotropic support (hypothermia, 59% of infants; control, 56% of infants) was similar during the 72-hour study intervention period in both groups. Need for blood transfusions (hypothermia, 24%; control, 24%), platelet transfusions (hypothermia, 20%; control, 12%), and volume expanders (hypothermia, 54%; control, 49%) was similar in the 2 groups. Among infants with persistent pulmonary hypertension (hypothermia, 25%; control, 22%), nitric-oxide use (hypothermia, 68%; control, 57%) and placement on extracorporeal membrane oxygenation (hypothermia, 4%; control, 9%) was similar between the 2 groups. Non-central nervous system organ dysfunctions occurred with similar frequency in the hypothermia (74%) and control (73%) groups. Rehospitalization occurred among 27% of the infants in the hypothermia group and 42% of infants in the control group. At 18 months, the hypothermia group had 24 deaths, 19 severe disabilities, and 2 moderate disabilities, whereas the control group had 38 deaths, 25 severe disabilities, and 1 moderate disability. Growth parameters were similar between survivors. No adverse outcomes were noted among infants receiving hypothermia with transient reduction of temperature below a target of 33.5 degrees C at initiation of cooling. There was a trend in reduction of frequency of all outcomes in the hypothermia group compared with the control group in both moderate and severe encephalopathy categories. CONCLUSIONS: Although not powered to test these secondary outcomes, whole-body hypothermia in infants with encephalopathy was safe and was associated with a consistent trend for decreasing frequency of each of the components of disability.

Computer simulation of glioma growth and morphology.

Despite major advances in the study of glioma, the quantitative links between intra-tumor molecular/cellular properties, clinically observable properties such as morphology, and critical tumor behaviors such as growth and invasiveness remain unclear, hampering more effective coupling of tumor physical characteristics with implications for prognosis and therapy. Although molecular biology, histopathology, and radiological imaging are employed in this endeavor, studies are severely challenged by the multitude of different physical scales involved in tumor growth, i.e., from molecular nanoscale to cell microscale and finally to tissue centimeter scale. Consequently, it is often difficult to determine the underlying dynamics across dimensions. New techniques are needed to tackle these issues. Here, we address this multi-scalar problem by employing a novel predictive three-dimensional mathematical and computational model based on first-principle equations (conservation laws of physics) that describe mathematically the diffusion of cell substrates and other processes determining tumor mass growth and invasion. The model uses conserved variables to represent known determinants of glioma behavior, e.g., cell density and oxygen concentration, as well as biological functional relationships and parameters linking phenomena at different scales whose specific forms and values are hypothesized and calculated based on in vitro and in vivo experiments and from histopathology of tissue specimens from human gliomas. This model enables correlation of glioma morphology to tumor growth by quantifying interdependence of tumor mass on the microenvironment (e.g., hypoxia, tissue disruption) and on the cellular phenotypes (e.g., mitosis and apoptosis rates, cell adhesion strength). Once functional relationships between variables and associated parameter values have been informed, e.g., from histopathology or intra-operative analysis, this model can be used for disease diagnosis/prognosis, hypothesis testing, and to guide surgery and therapy. In particular, this tool identifies and quantifies the effects of vascularization and other cell-scale glioma morphological characteristics as predictors of tumor-scale growth and invasion.

Computer simulation of glioma growth and morphology.

Despite major advances in the study of glioma, the quantitative links between intra-tumor molecular/cellular properties, clinically observable properties such as morphology, and critical tumor behaviors such as growth and invasiveness remain unclear, hampering more effective coupling of tumor physical characteristics with implications for prognosis and therapy. Although molecular biology, histopathology, and radiological imaging are employed in this endeavor, studies are severely challenged by the multitude of different physical scales involved in tumor growth, i.e., from molecular nanoscale to cell microscale and finally to tissue centimeter scale. Consequently, it is often difficult to determine the underlying dynamics across dimensions. New techniques are needed to tackle these issues. Here, we address this multi-scalar problem by employing a novel predictive three-dimensional mathematical and computational model based on first-principle equations (conservation laws of physics) that describe mathematically the diffusion of cell substrates and other processes determining tumor mass growth and invasion. The model uses conserved variables to represent known determinants of glioma behavior, e.g., cell density and oxygen concentration, as well as biological functional relationships and parameters linking phenomena at different scales whose specific forms and values are hypothesized and calculated based on in vitro and in vivo experiments and from histopathology of tissue specimens from human gliomas. This model enables correlation of glioma morphology to tumor growth by quantifying interdependence of tumor mass on the microenvironment (e.g., hypoxia, tissue disruption) and on the cellular phenotypes (e.g., mitosis and apoptosis rates, cell adhesion strength). Once functional relationships between variables and associated parameter values have been informed, e.g., from histopathology or intra-operative analysis, this model can be used for disease diagnosis/prognosis, hypothesis testing, and to guide surgery and therapy. In particular, this tool identifies and quantifies the effects of vascularization and other cell-scale glioma morphological characteristics as predictors of tumor-scale growth and invasion.

Predictive oncology: a review of multidisciplinary, multiscale in silico modeling linking phenotype, morphology and growth.

Empirical evidence and theoretical studies suggest that the phenotype, i.e., cellular- and molecular-scale dynamics, including proliferation rate and adhesiveness due to microenvironmental factors and gene expression that govern tumor growth and invasiveness, also determine gross tumor-scale morphology. It has been difficult to quantify the relative effect of these links on disease progression and prognosis using conventional clinical and experimental methods and observables. As a result, successful individualized treatment of highly malignant and invasive cancers, such as glioblastoma, via surgical resection and chemotherapy cannot be offered and outcomes are generally poor. What is needed is a deterministic, quantifiable method to enable understanding of the connections between phenotype and tumor morphology. Here, we critically assess advantages and disadvantages of recent computational modeling efforts (e.g., continuum, discrete, and cellular automata models) that have pursued this understanding. Based on this assessment, we review a multiscale, i.e., from the molecular to the gross tumor scale, mathematical and computational "first-principle" approach based on mass conservation and other physical laws, such as employed in reaction-diffusion systems. Model variables describe known characteristics of tumor behavior, and parameters and functional relationships across scales are informed from in vitro, in vivo and ex vivo biology. We review the feasibility of this methodology that, once coupled to tumor imaging and tumor biopsy or cell culture data, should enable prediction of tumor growth and therapy outcome through quantification of the relation between the underlying dynamics and morphological characteristics. In particular, morphologic stability analysis of this mathematical model reveals that tumor cell patterning at the tumor-host interface is regulated by cell proliferation, adhesion and other phenotypic characteristics: histopathology information of tumor boundary can be inputted to the mathematical model and used as a phenotype-diagnostic tool to predict collective and individual tumor cell invasion of surrounding tissue. This approach further provides a means to deterministically test effects of novel and hypothetical therapy strategies on tumor behavior.

Inherited and noninherited sources of variation in metastasis and the growth rate of tumors: Implications for tumor evolution and therapy

I have undertaken measurements of the genetic (or inherited) and nongenetic (or noninherited) components of the variability of metastasis formation and tumor diameter doubling time in more than 100 metastatic lines from each of three murine tumors (sarcoma SANH, sarcoma SA4020, and hepatocarcinoma HCA-I) syngeneic to C3Hf/Kam mice. These lines were isolated twice from lung metastases and analysed immediately thereafter to obtain the variance to spontaneous lung metastasis and tumor diameter doubling time. Additional studies utilized cells obtained from within 4 passages of isolation. Under the assumption that no genetic differences in metastasis formation or diameter doubling time existed among the cells of a given line, the variance within a line would estimate nongenetic variation. The variability derived from differences between lines would represent genetic origin. The estimates of the genetic contribution to the variation of metastasis and tumor diameter doubling time were significantly greater than zero, but only in the metastatic lines of tumor SANH was genetic variation the major source of metastatic variability (contributing 53% of the variability). In the tumor cell lines of SA4020 and HCA-I, however, the contribution of nongenetic factors predominated over genetic factors in the variability of the number of metastasis and tumor diameter doubling time. A number of other parameters examined, such as DNA content, karyotype, and selection and variance analysis with passage in vivo, indicated that genetic differences existed within the cell lines and that these differences were probably created by genetic instability. The mean metastatic propensity of the lines may have increased somewhat during their isolation and isotransplantation, but the variance was only slightly affected, if at all. Analysis of the DNA profiles of the metastatic lines of SA4020 and HCA-I revealed differences between these lines and their primary parent tumors, but not among the SANH lines and their parent tumor. Furthermore, there was a direct correlation between the extent of genetic influence on metastasis formation and the ability of the tumor cells to develop resistance to cisplatinum. Thus although nongenetic factors might predominate in contributing to metastasis formation, it is probably genetic variation and genetic instability that cause the progression of tumor cells to a more metastatic phenotype and leads to the emergence of drug resistance. ^

HETEROGENEITY IN VIRUS EXPRESSION, TUMORIGENICITY, AND IN VITRO GROWTH PROPERTIES OF DRUG-RESISTANT CLONES OF AN RIII MOUSE MAMMARY TUMOR CELL LINE

Four 8-azaguanine (AG)-resistant and 5-bromodeoxyuridine (BUdR)-resistant clones of a mouse mammary adenocarcinoma cell line, RIII 7387, were developed and analyzed for their tumorigenic properties, in vitro characteristics, and virus expression. These characteristics were analyzed for relationships of any of the cellular parameters and the ability of these lines to produce tumors in syngeneic animals.^ The results of this study demonstrated that the parental line consists of a heterogeneous population of cells. Doubling times, saturation densities, and 2-deoxy-D-glucose uptake varied between sublines. In addition, while all sublines were found to express both B-type and C-type viral antigenic markers, levels of the major B-type and C-type viral proteins varied in the subclones. The sublines also differed markedly in their response to the presence of dexamethasone, glutathione, and insulin in the tissue culture medium.^ Variations in retrovirus expression were convirmed by electron microscopy. Budding and extracellular virus particles were seen in the majority of the cell lines. Virus particles in one of the BUdR-resistant lines, BUD9, were found however, only in inclusions and vacuoles. The AG-resistant subline AGE11 was observed to be rich in intracytoplasmic A particles. The examination of these cell lines for the presence of retroviral RNA-dependent DNA polymerase (RT) activity revealed that some B-type RT activity could be found in the culture fluid of most of the cell lines but that little C-type RT activity could be found suggesting that the C-type virus particles expressed by these RIII clones contain a defective RT.^ Tumor clones also varied in their ability to form tumors in syngeneic RIII mice. Tumor incidence ranged from 50% to 100%. The majority of the tumors regressed within 30 days post infection.^ Statistical analysis indicated that while these clones varied in their characteristics, there was no correlation between the ability of these cell lines to form tumors in syngeneic mice and any of the other characteristics examined.^ These studies have confirmed and extended the growing evidence that tumors, regardless of their natural origin, consist of heterogeneous subpopulations of cells which may vary widely in their in vitro growth behavior, their antigenic expression, and their malignant properties. ^