1,734 research outputs found

    Tracking profiles of genomic instability in spontaneous transformation and tumorigenesis

    Get PDF
    The dominant paradigm for cancer research focuses on the identification of specific genes for cancer causation and for the discovery of therapeutic targets. Alternatively, the current data emphasize the significance of karyotype heterogeneity in cancer progression over specific gene-based causes of cancer. Variability of a magnitude significant to shift cell populations from homogeneous diploid cells to a mosaic of structural and numerical chromosome alterations reflects the characteristic low-fidelity genome transfer of cancer cell populations. This transition marks the departure from micro-evolutionary gene-level change to macro-evolutionary change that facilitates the generation of many unique karyotypes within a cell population. Considering cancer cell populations to be complex-adaptive systems, multi-level analyses were performed longitudinally including whole genome microarray, population karyotype analysis, and determination of cell phenotype. As heterogeneity in ovarian cancer at each of these levels is linked to low survival, metastasis, and resistance to chemotherapy, a syngeinc model of spontaneous ovarian cancer development was employed. The significant findings of the current study are, 1) Genomic instability was apparent from the earliest stages of study, 2) Karyotypic heterogeneity was widespread, showed a pattern of expansion over time and preceded the acquisition of the transformed phenotype 3) a major karyotypic shift occurred between transformed cells in vivo and tumors formed in vitro, documenting the formation of a new system induced by environmental change 4) Chromosome copy number has greater impact on gene expression in early-stage cell populations, where karyotypes are beginning to depart from the diploid genome. A genome-centered paradigm for transformation is emphasized through the discovery of early large-scale increases in karyotype heterogeneity. This occurred well before the appearance of the transformed phenotype, arose much faster in Brca1 conditionally inactivated cells, was linked to the largest shift in gene expression, and was linked to the transition from in vitro to in vivo survival facilitating tumorigenesis. These data demonstrate the significance, methodologies and rationale for quantifying karyotype heterogeneity in transformation, tumorigenesis, and clinical cancers. Together, these findings support of a genome-centered evolutionary framework for cancer progression that emphasizes cell-to-cell genomic variability as the basis for macro-evolutionary selection and rapid phenotypic switching in response to new environments

    Modelling neoplastic progression in epithelial ovarian cancer

    Get PDF
    A national screening programme could significantly reduce mortality from epithelial ovarian cancer (EOC). The biological events that occur in the early stages of development of EOCs remain poorly understood, thus hindering the discovery of biomarkers of early disease. This thesis describes the development of a three-dimensional heterotypic genetic model of neoplastic transformation of normal ovarian surface epithelial (NOSE) cells. hTERT, C-MYC, KRAS and BRAF are genes that are commonly mutated or overexpressed in EOCs. Ectopic expression of hTERT increased in vitro lifespan of NOSE cells without inducing neoplastic transformation. Subsequent overexpression of CMYC +/- KRASG12V /BRAFV 600E in immortalised NOSE (IOSE) cells induced a significant increase in anchorage-independent growth and invasive ability. In in vitro assays and gene expression microarrays, phenotypic and molecular heterogeneity was associated with differential oncogene expression. Physiological and biological features of NOSE cells grown in 3D more closely resembled characteristics of NOSE cells in vivo than when grown by classical two-dimensional (2D) approaches. 3D models of oncogene-expressing clones revealed characteristics of malignant cells in vivo that could not be detected in 2D monolayer cultures. Gene expression microarrrays profiles of ~25,000 genes were generated to identify novel genes that are altered synergistically with the oncogenes that were introduced. A panel of genes has been identified that provides novel candidates for detecting ovarian carcinomas at the earliest, most treatable, stages of disease. Finally, a role for ageing fibroblasts in the initiation of EOC development was explored. In 2D and 3D in vitro co-culture assays, pre-senescent and senescent ovarian fibroblasts differentially affected proliferation, anchorage-independent growth, migration and invasion of IOSECMYC cell lines but not of IOSE cells. These data provide in vitro evidence that the ageing microenvironment can promote transformation of ovarian epithelial cells, and that this is conditional upon mutation in the OSE

    Rheumatic fever: New ideas in diagnosis and management

    Get PDF
    Rheumatic heart disease remains a major cause of disability and death in developing countries. Careful re-analysis of mid-20th century data as well as the juxtaposition of well-funded research units and populations at risk have generated information that resulted in radical departures from standard approaches to the prevention, clinical recognition and treatment of acute rheumatic fever. As a result, rheumatic heart disease may be eliminated in the future
    corecore