Differential gene expression in multistep tumorigenesis using an {\it in vitro\/} human cell model

Using a human terato-carcinoma cell line, PA-1, the functional role of the oncogenes and tumor suppressor gene involved in the multistep process of carcinogenesis have been analyzed. The expression of AP-2 was strongly correlated with the susceptibility to ras transformation. The differential responsiveness to growth factors between stage 1 ras resistant cells and stage 2 ras susceptible cells was observed, indicating that the ability of stage 2 cells to respond to the mutated ras oncogenes in transformation correlated with the ability to be stimulated by certain growth factors. Using differential screening of cDNA libraries, a number of differentially expressed cDNA clones was isolated. One of those, clone 12, is overexpressed in ras transformed stage 3 cells. The amino acid sequence of clone 12 is almost identical to a mouse LLrep3 gene that was growth-regulated, and 78% similar to a yeast ribosomal protein S4. These results suggest that the S4 gene may be involved in regulation of growth. Clone 9 is expressed in stage 1 ras resistant cells (3.5-kb and 3.0-kb transcripts) but the expression of this clone in stage 2 ras susceptible cells and stage 3 ras-transformed cells is greatly diminished. The expression of this cDNA clone was increased to at least five fold in ras resistant cells and nontumorigenic hybrids treated with retinoic acid but not increased in retinoic acid treated ras susceptible cells, ras transformed cells and the tumorigenic segregants. Partial sequence of this clone showed no homology to the sequences in Genbank. These findings suggest that clone 9 could be a suppressor gene or the genes that are involved in the biochemical pathway of tumor suppression or neurogenic differentiation. The apparent pleiotropic effect of the loss of this suppressor gene function support Harris' proposal that tumor suppressor genes regulate differentiation. The tumor suppressor gene may act as negative regulator of tumor growth by controlling gene expression in differentiation. ^

The relationship of mutations in alpha- and beta-tubulin to microtubule assembly and anti-mitotic drug resistance

The mechanisms responsible for anti-cancer drug (including Taxol) treatment failure have not been identified. In cell culture model systems, many β-tubulin, but very few α-tubulin, mutations have been associated with resistance to Taxol. To test what, if any, mutations in α-tubulin can cause resistance, we transfected a randomly mutagenized α-tubulin cDNA into Chinese hamster ovary (CHO) cells and isolated drug resistant cell lines. A total of 12 mutations were identified in this way and all of them were confirmed to confer Taxol resistance. Furthermore, all cells expressing mutant α-tubulin had less microtubule polymer. Some cells also had abnormal nuclei and enlarged cell bodies. The data indicate that α-tubulin mutations confer Taxol resistance by disrupting microtubule assembly, a mechanism consistent with a large number of previously described β-tubulin mutations. ^ Because α- and β-tubulin are almost identical in their three dimensional structure, we hypothesized that mutations discovered in one subunit, when introduced into the other, would produce similar effects on microtubule assembly and drug resistance. 9 α- and 2 β-tubulin mutations were tested. The results were complex. Some mutations produced similar changes in microtubule assembly and drug resistance irrespective of the subunit in which they were introduced, but others produced opposite effects. Still one mutation produced resistance when present in one subunit, yet had no effect when present on the other; and one mutation that produced Taxol resistance when present in α-tubulin, resulted in assembly-defective tubulin when it was present in β-tubulin. The results suggest that in most cases, the same amino acid modification in α- and β-tubulin affects the microtubule structure and assembly in a similar way. ^ Finally, we tested whether three β-tubulin mutations found in patient tumors could confer resistance to Taxol by recreating the mutations in a β-tubulin cDNA and transfecting it into CHO cells. We found that all three mutations conferred Taxol resistance, but to different extents. Again, microtubule assembly in the transfectants was disrupted, suggesting that mutations in β-tubulin are a potential problem in cancer therapeutics. ^

Application of Signal Advance Technology to Electrophysiology

Medical instrumentation used in diagnosis and treatment relies on the accurate detection and processing of various physiological events and signals. While signal detection technology has improved greatly in recent years, there remain inherent delays in signal detection/ processing. These delays may have significant negative clinical consequences during various pathophysiological events. Reducing or eliminating such delays would increase the ability to provide successful early intervention in certain disorders thereby increasing the efficacy of treatment. In recent years, a physical phenomenon referred to as Negative Group Delay (NGD), demonstrated in simple electronic circuits, has been shown to temporally advance the detection of analog waveforms. Specifically, the output is temporally advanced relative to the input, as the time delay through the circuit is negative. The circuit output precedes the complete detection of the input signal. This process is referred to as signal advance (SA) detection. An SA circuit model incorporating NGD was designed, developed and tested. It imparts a constant temporal signal advance over a pre-specified spectral range in which the output is almost identical to the input signal (i.e., it has minimal distortion). Certain human patho-electrophysiological events are good candidates for the application of temporally-advanced waveform detection. SA technology has potential in early arrhythmia and epileptic seizure detection and intervention. Demonstrating reliable and consistent temporally advanced detection of electrophysiological waveforms may enable intervention with a pathological event (much) earlier than previously possible. SA detection could also be used to improve the performance of neural computer interfaces, neurotherapy applications, radiation therapy and imaging. In this study, the performance of a single-stage SA circuit model on a variety of constructed input signals, and human ECGs is investigated. The data obtained is used to quantify and characterize the temporal advances and circuit gain, as well as distortions in the output waveforms relative to their inputs. This project combines elements of physics, engineering, signal processing, statistics and electrophysiology. Its success has important consequences for the development of novel interventional methodologies in cardiology and neurophysiology as well as significant potential in a broader range of both biomedical and non-biomedical areas of application.

Involvement of human chromosome 17 in the control of the metastatic phenotype in melanoma

Fusion of nonmetastatic murine melanoma K1735 C19H cells with metastatic human melanoma A375 C15N cells resulted in a hybrid (termed H7) which was highly metastatic in a nude mouse model. The H7 hybrid retained chromosome 17 as the sole intact human chromosome in the cell. A lung bioassay showed that the K1735 C19H cells were present in the lungs of nude mice with s.c. tumors, yet at 6-weeks after tumor resection, no cells remained in the lung and therefore did not form lung metastases. Examination of various phenotypic properties such as in vivo and in vitro growth demonstrated that phenotypically the H7 hybrid was most like the K1735 C19H cell line except for its metastatic ability. In contrast the H7 hybrid cells containing single or multiple copies of human chromosome 17 with a point mutation at codon 249 (arg-gly) of the p53 gene, readily formed lung metastases. A plasmid containing the human p53 from the H7 hybrid and four other contructs with mutations at codon 143 (val-arg), 175 (arg-his), 249 (arg-ser) and 273 (arg-his) were transfected into K1735 C19H cells. K1735 C19H cells expressing human p53 genes with mutations at codons 249, both the arg-ser mutation and the mutation from the H7 hybrid and 273 produced significantly more lung metastases.^ In vitro assays demonstrated that responses to various cytotoxic and DNA damaging agents varied with the presence of mutant p53 and with the type of agent used. When cultured in mouse lung-conditioned medium, the K1735 C19H cell line was growth-inhibited, while cells containing a mutant human p53 (either on the whole chromosome 17, as in the H7 hybrid cells or from a stably transfected construct) were growth stimulated. Western blot analysis of lung-conditioned media derived from either 6-month or 15-month old mice has detected high levels of soluble Fas ligand in the medium from older animals. Comparison of the levels of Fas receptor on the K1735 C19H cell line and the H7 hybrid were almost identical, but 50% of the K1735 C19H cells were killed in the presence of anti-Fas antibody as opposed to 7% of the H7 hybrid cells. The growth-inhibitory effects of the lung-conditioned medium on the K1735 C19H cells were abrogated by coculture with Fas-Fc, which competes with the Fas ligand for receptor binding. Growth-inhibition of the K1735 C19H was 54% when cultured in 60 $\mu$g/0.2 ml lung-conditioned medium and a control Fc, with only 9% inhibition in 60 $\mu$g/0.2 ml lung-conditioned medium and Fas-Fc. Growth of the H7 cells and K1735 C19H cells transfected with various mutant human p53 genes were unchanged by the presence of either the control Fc or the Fas-Fc. This indicates that the presence of human chromosome 17, and mutant p53 in part protects the cells from Fas:Fas ligand induced apoptosis, and allows the growth of lung metastases. ^

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.

Isolation, characterization and functional analysis of the {\it xnf7\/} gene from {\it Xenopus laevis\/}

A fundamental problem in developmental biology concerns the mechanisms involved in the establishment of the embryonic axis. We are studying Xenopus nuclear factor 7 (xnf7) which we believe to be involved in dorsal-ventral patterning in Xenopus laevis. Xnf7 is a maternal gene product that is retained in the cytoplasm during early embryogenesis until the mid-blastula transition (MBT) when it reenters the nuclei. It is a member of a novel zinc finger proteins, the B-box family, consisting mainly of transcription factors and protooncogenes.^ The xnf7 gene is reexpressed during embryogenesis at the gastrula-neurula stage of development, with its zygotic expression limited to the central nervous system (CNS). In this study we showed that there are two different cDNAs coding for xnf7, xnf7-O and xnf7-B. They differ by 39 amino acid changes scattered throughout the cDNA. The expression of both forms of xnf7 is limited primarily to the central nervous system (CNS) and dorsal axial structures during later stages of embryogenesis.^ In order to study the spatial and temporal regulation of the gene, we screened a Xenopus genomic library using part of xnf7 cDNA as a probe. A genomic clone corresponding to the xnf7-O type was isolated, its 5$\sp\prime$ putative regulatory region sequenced, and its transcriptional initiation site mapped. The putative promoter region contained binding sites for Sp1, E2F, USF, a Pu box and AP1. CAT/xnf7 fusion genes were constructed containing various 5$\sp\prime$ deleted regions of the xnf7 promoter linked to a CAT (Chloramphenicol Acetyl Transferase) reporter vector. These constructs were injected into Xenopus oocytes and embryos to study the regions of the xnf7 promoter responsible for basal, temporal and spatial regulation of the gene. The activity of the fusion genes was measured by the conversion of chloramphenicol to its acetylated forms, and the spatial distribution of the transcripts by whole mount in situ hybridization. We showed that the elements involved in basal regulation of xnf7 lie within 121 basepairs upstream of the transcriptional inititiation site. A DNase I footprint analysis performed using oocyte extract showed that a E2F and 2 Sp1 sites were protected. During development, the fusion genes were expressed following the MBT, in accordance with the timing of the endogenous xnf7 gene. Spatially, the expression of the fusion gene containing 421 basepairs of the promoter was localized to the dorsal region of the embryo in a pattern that was almost identical to that detected with the endogenous transcripts. Therefore, the elements involved in spatial and temporal regulation of the xnf7 gene during development were contained within 421 basepairs upstream of the transcriptional initiation site. Future work will further define the elements involved in the spatial and temporal regulation and the trans-factors that interact with them. ^

A survey of the implementation status of environmental management systems in U.S. colleges and universities, and, An environmental management system implementation model for U.S. colleges and universities

A census of 925 U.S. colleges and universities offering masters and doctorate degrees was conducted in order to study the number of elements of an environmental management system as defined by ISO 14001 possessed by small, medium and large institutions. A 30% response rate was received with 273 responses included in the final data analysis. Overall, the number of ISO 14001 elements implemented among the 273 institutions ranged from 0 to 16, with a median of 12. There was no significant association between the number of elements implemented among institutions and the size of the institution (p = 0.18; Kruskal-Wallis test) or among USEPA regions (p = 0.12; Kruskal-Wallis test). The proportion of U.S. colleges and universities that reported having implemented a structured, comprehensive environmental management system, defined by answering yes to all 16 elements, was 10% (95% C.I. 6.6%–14.1%); however 38% (95% C.I. 32.0%–43.8%) reported that they had implemented a structured, comprehensive environmental management system, while 30.0% (95% C.I. 24.7%–35.9%) are planning to implement a comprehensive environmental management system within the next five years. Stratified analyses were performed by institution size, Carnegie Classification and job title. ^ The Osnabruck model, and another under development by the South Carolina Sustainable Universities Initiative, are the only two environmental management system models that have been proposed specifically for colleges and universities, although several guides are now available. The Environmental Management System Implementation Model for U.S. Colleges and Universities developed is an adaptation of the ISO 14001 standard and USEPA recommendations and has been tailored to U.S. colleges and universities for use in streamlining the implementation process. In using this implementation model created for the U.S. research and academic setting, it is hoped that these highly specialized institutions will be provided with a clearer and more cost-effective path towards the implementation of an EMS and greater compliance with local, state and federal environmental legislation. ^

High-resolution microarray analysis of chromosome 20q in human colon cancer metastasis model systems

Amplification of human chromosome 20q DNA is the most frequently occurring chromosomal abnormality detected in sporadic colorectal carcinomas and shows significant correlation with liver metastases. Through comprehensive high-resolution microarray comparative genomic hybridization and microarray gene expression profiling, we have characterized chromosome 20q amplicon genes associated with human colorectal cancer metastasis in two in vitro metastasis model systems. The results revealed increasing complexity of the 20q genomic profile from the primary tumor-derived cell lines to the lymph node and liver metastasis derived cell lines. Expression analysis of chromosome 20q revealed a subset of over expressed genes residing within the regions of genomic copy number gain in all the tumor cell lines, suggesting these are Chromosome 20q copy number responsive genes. Bases on their preferential expression levels in the model system cell lines and known biological function, four of the over expressed genes mapping to the common intervals of genomic copy gain were considered the most promising candidate colorectal metastasis-associated genes. Validation of genomic copy number and expression array data was carried out on these genes, with one gene, DNMT3B, standing out as expressed at a relatively higher levels in the metastasis-derived cell lines compared with their primary-derived counterparts in both the models systems analyzed. The data provide evidence for the role of chromosome 20q genes with low copy gain and elevated expression in the clonal evolution of metastatic cells and suggests that such genes may serve as early biomarkers of metastatic potential. The data also support the utility of the combined microarray comparative genomic hybridization and expression array analysis for identifying copy number responsive genes in areas of low DNA copy gain in cancer cells. ^

An empirical model to estimate the demand for primary care in urban settings

Objective. To measure the demand for primary care and its associated factors by building and estimating a demand model of primary care in urban settings.^ Data source. Secondary data from 2005 California Health Interview Survey (CHIS 2005), a population-based random-digit dial telephone survey, conducted by the UCLA Center for Health Policy Research in collaboration with the California Department of Health Services, and the Public Health Institute between July 2005 and April 2006.^ Study design. A literature review was done to specify the demand model by identifying relevant predictors and indicators. CHIS 2005 data was utilized for demand estimation.^ Analytical methods. The probit regression was used to estimate the use/non-use equation and the negative binomial regression was applied to the utilization equation with the non-negative integer dependent variable.^ Results. The model included two equations in which the use/non-use equation explained the probability of making a doctor visit in the past twelve months, and the utilization equation estimated the demand for primary conditional on at least one visit. Among independent variables, wage rate and income did not affect the primary care demand whereas age had a negative effect on demand. People with college and graduate educational level were associated with 1.03 (p < 0.05) and 1.58 (p < 0.01) more visits, respectively, compared to those with no formal education. Insurance was significantly and positively related to the demand for primary care (p < 0.01). Need for care variables exhibited positive effects on demand (p < 0.01). Existence of chronic disease was associated with 0.63 more visits, disability status was associated with 1.05 more visits, and people with poor health status had 4.24 more visits than those with excellent health status. ^ Conclusions. The average probability of visiting doctors in the past twelve months was 85% and the average number of visits was 3.45. The study emphasized the importance of need variables in explaining healthcare utilization, as well as the impact of insurance, employment and education on demand. The two-equation model of decision-making, and the probit and negative binomial regression methods, was a useful approach to demand estimation for primary care in urban settings.^

PROJECTION OF HEALTH DEMAND IN TERMS OF HOSPITAL ADMISSIONS FOR SELECTED DIAGNOSES IN HEALTH SYSTEMS AGENCY SERVICE AREAS

The National Health Planning and Resources Development Act of 1974 (Public Law 93-641) requires that health systems agencies (HSAs) plan for their health service areas by the use of existing data to the maximum extent practicable. Health planning is based on the identificaton of health needs; however, HSAs are, at present, identifying health needs in their service areas in some approximate terms. This lack of specificity has greatly reduced the effectiveness of health planning. The intent of this study is, therefore, to explore the feasibility of predicting community levels of hospitalized morbidity by diagnosis by the use of existing data so as to allow health planners to plan for the services associated with specific diagnoses.^ The specific objectives of this study are (a) to obtain by means of multiple regression analysis a prediction equation for hospital admission by diagnosis, i.e., select the variables that are related to demand for hospital admissions; (b) to examine how pertinent the variables selected are; and (c) to see if each equation obtained predicts well for health service areas.^ The existing data on hospital admissions by diagnosis are those collected from the National Hospital Discharge Surveys, and are available in a form aggregated to the nine census divisions. When the equations established with such data are applied to local health service areas for prediction, the application is subject to the criticism of the theory of ecological fallacy. Since HSAs have to rely on the availability of existing data, it is imperative to examine whether or not the theory of ecological fallacy holds true in this case.^ The results of the study show that the equations established are highly significant and the independent variables in the equations explain the variation in the demand for hospital admission well. The predictability of these equations is good when they are applied to areas at the same ecological level but become poor, predominantly due to ecological fallacy, when they are applied to health service areas.^ It is concluded that HSAs can not predict hospital admissions by diagnosis without primary data collection as discouraged by Public Law 93-641. ^