Selective elevation of c-{\it myc} RNA transcripts during clonal evolution of N-methyl-N-nitrosourea induced thymic lymphomas in AKR/J mice

Untreated AKR mice develop spontaneous thymic lymphomas by 6-12 months of age. Lymphoma development is accelerated when young mice are injected with the carcinogen N-methyl-N-nitrosourea (MNU). Selected molecular and cellular events were compared during the latent period preceding "spontaneous" (retrovirally-induced) and MNU-induced thymic lymphoma development in AKR mice. These studies were undertaken to test the hypothesis that thymic lymphomas induced in the same inbred mouse strain by endogenous retroviruses and by a chemical carcinogen develop by different mechanisms.^ Immunofluorescence analysis of differentiation antigens showed that most MNU-induced lymphomas express an immature CD4-8+ profile. In contrast, spontaneous lymphomas represent each of the major lymphocyte subsets. These data suggest involvement of different target populations in MNU-induced and spontaneous lymphomas. Analyses at intervals after MNU treatment revealed selective expansion of the CD4-8+ J11d+ thymocyte subset at 8-10 weeks post-MNU in 68% of the animals examined, suggesting that these cells are targets for MNU-induced lymphomagenesis. Untreated age-matched animals showed no selective expansion of thymocyte subsets.^ Previous data have shown that both spontaneous and MNU-induced lymphomas are monoclonal or oligoclonal. Distinct rearrangement patterns of the J$\sb2$ region of the T-cell receptor $\beta$-chain showed emergence of clonal thymocyte populations beginning at 6-7 weeks after MNU treatment. However, lymphocytes from untreated animals showed no evidence of clonal expansion at the time intervals investigated.^ Activation of c-myc frequently occurs during development of B- and T- cell lymphomas. Both spontaneous and MNU-induced lymphomas showed increased c-myc transcript levels. Increased c-myc transcription was first detected at 6 weeks post-MNU, and persisted throughout the latent period. However, untreated animals showed no increases in c-myc transcripts at the time intervals examined. Another nuclear oncogene, c-fos, did not display a similar change in RNA transcription during the latent period.^ These results supports the hypothesis that MNU-induced and spontaneous tumors develop by multi-step pathways which are distinct with respect to the target cell population affected. Clonal emergence and c-myc deregulation are important steps in the development of both MNU-induced and spontaneous tumors, but the onset of these events is later in spontaneous tumor development. ^

INCREASED EXPRESSION OF ONE OF TWO ADENOSINE DEAMINASE ALLELES IN A HUMAN CHORIOCARCINOMA CELL LINE FOLLOWING SELECTION WITH ADENINE NUCLEOSIDES

The human choriocarcinoma cell line JEG-3 is heterozygous at the adenosine deaminase (ADA) gene locus. Both allelic genes are under strong but incomplete repression causing a very low level expression of the gene locus. Because cytotoxic adenosine analogues such as 9-(beta)-D arabinofuranosyladenine (ara-A) and 9-(beta)-D xylofuranosyladenine (xyl-A) can be specifically detoxified by the action of ADA, these analogues were used to select for JEG-3 derived cells which had increased ADA expression. When JEG-3 cells were subjected to a multi-step, successively increasing dosage of either ara-A or xyl-A, resistant cells with increased ADA expression were generated. This increased ADA expression in the resistant cells was unstable, so that when the selective pressure was removed, cellular ADA expression would decrease. Subclone analysis of xyl-A resistant cells revealed that compared to parental JEG-3 cells, individual resistant cells had either elevated ADA levels or decreased adenosine kinase (ADK) levels or both. This altered ADA and ADK expression in the resistant cells were found to be independent events. Because of high endogenous tissue conversion factor (TCF) expression in the JEG-3 cells, the allelic nature of the increased ADA expression in most of the resistant cells could not be determined. However, several resistant subcloned cells were found to have lost TCF expression. These TCF('-) cells expressed only the ADA*2 allelic gene product. Cell fusion experiments demonstrated that the ADA*1 allelic gene was intact and functional in the A3-1A7 cell line. Chromosomal analysis of the A3-1A7 cells showed that they had no double-minutes or homogeneously staining chromosomal regions, although a pair of new chromosomes were found in these cells. Segregation analysis of the hybrid cells indicated that an ADA*2 allelic gene was probably located on this new chromosome. The analysis of the A3-1A7 cell line suggested that the expression of only ADA 2 in these cells was the result of possibly a cis-deregulation of the ADA gene locus or more probably an amplification of the ADA*2 allelic gene. Two effective positive selection systems for ADA('+) cells were also developed and tested. These selection systems should eventually lead to the isolation of the ADA gene.^

Insights into the biology of lymphatic metastasis

Recent data suggest that the generation of new lymphatic vessels (i.e. lymphangiogenesis) may be a rate-limiting step in the dissemination of tumor cells to regional lymph nodes. However, efforts to study the cellular and molecular interactions that take place between tumor cells and lymphatic endothelial cells have been limited due to a lack of lymphatic endothelial cell lines available for study. ^ I have used a microsurgical approach to establish conditionally immortalized lymphatic endothelial cell lines from the afferent mesenteric lymphatic vessels of mice. Characterization of lymphatic endothelial cells, and tumor-associated lymphatic vessels revealed high expression levels of VCAM-1, which is known to facilitate adhesion of some tumor cells to vascular endothelial cells. Further investigation revealed that murine melanoma cells selected for high expression of α4, a counter-receptor for VCAM-1, demonstrated enhanced adhesion to lymphatic endothelial cells in vitro, and increased tumorigenicity and lymphatic metastasis in vivo, despite similar lymphatic vessel numbers. ^ Next, I examined the effects of growth factors that regulate lymphangiogenesis, and report that several growth factors are capable of activating survival and proliferation pathways of lymphatic endothelial cells. The dual protein tyrosine kinase inhibitor AEE788 (EGFR and VEGFR-2) inhibited the activation of Akt and MAPK in lymphatic endothelial cells responding to multiple growth factors. Moreover, oral treatment of mice with AEE788 decreased lymphatic vessel density and production of lymphatic metastasis by human colon cancer cells growing in the cecum of nude mice. ^ In the last set of experiments, I investigated the surgical management of lymphatic metastasis using a novel model of sentinel lymphadenectomy in live mice bearing subcutaneous B16-BL6 melanoma. The data demonstrate that this procedure when combined with wide excision of the primary melanoma, significantly enhanced survival of syngeneic C57BL/6 mice. ^ Collectively, these results indicate that the production of lymphatic metastasis depends on lymphangiogenesis, tumor cell adhesion to lymphatic endothelial cells, and proliferation of tumor cells in lymph nodes. Thus, lymphatic metastasis is a multi-step, complex, and active process that depends upon multiple interactions between tumor cells and tumor associated lymphatic endothelial cells. ^

Improved Techniques for Acquisition and Analysis of Dynamic Contrast-Enhanced Magnetic Resonance Imaging for Detecting Vascular Permeability in the Central Nervous System

Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is a noninvasive technique for quantitative assessment of the integrity of blood-brain barrier and blood-spinal cord barrier (BSCB) in the presence of central nervous system pathologies. However, the results of DCE-MRI show substantial variability. The high variability can be caused by a number of factors including inaccurate T1 estimation, insufficient temporal resolution and poor contrast-to-noise ratio. My thesis work is to develop improved methods to reduce the variability of DCE-MRI results. To obtain fast and accurate T1 map, the Look-Locker acquisition technique was implemented with a novel and truly centric k-space segmentation scheme. In addition, an original multi-step curve fitting procedure was developed to increase the accuracy of T1 estimation. A view sharing acquisition method was implemented to increase temporal resolution, and a novel normalization method was introduced to reduce image artifacts. Finally, a new clustering algorithm was developed to reduce apparent noise in the DCE-MRI data. The performance of these proposed methods was verified by simulations and phantom studies. As part of this work, the proposed techniques were applied to an in vivo DCE-MRI study of experimental spinal cord injury (SCI). These methods have shown robust results and allow quantitative assessment of regions with very low vascular permeability. In conclusion, applications of the improved DCE-MRI acquisition and analysis methods developed in this thesis work can improve the accuracy of the DCE-MRI results.

INTEGRATIVE BIOMARKER IDENTIFICATION AND CLASSIFICATION USING HIGH THROUGHPUT ASSAYS

It is well accepted that tumorigenesis is a multi-step procedure involving aberrant functioning of genes regulating cell proliferation, differentiation, apoptosis, genome stability, angiogenesis and motility. To obtain a full understanding of tumorigenesis, it is necessary to collect information on all aspects of cell activity. Recent advances in high throughput technologies allow biologists to generate massive amounts of data, more than might have been imagined decades ago. These advances have made it possible to launch comprehensive projects such as (TCGA) and (ICGC) which systematically characterize the molecular fingerprints of cancer cells using gene expression, methylation, copy number, microRNA and SNP microarrays as well as next generation sequencing assays interrogating somatic mutation, insertion, deletion, translocation and structural rearrangements. Given the massive amount of data, a major challenge is to integrate information from multiple sources and formulate testable hypotheses. This thesis focuses on developing methodologies for integrative analyses of genomic assays profiled on the same set of samples. We have developed several novel methods for integrative biomarker identification and cancer classification. We introduce a regression-based approach to identify biomarkers predictive to therapy response or survival by integrating multiple assays including gene expression, methylation and copy number data through penalized regression. To identify key cancer-specific genes accounting for multiple mechanisms of regulation, we have developed the integIRTy software that provides robust and reliable inferences about gene alteration by automatically adjusting for sample heterogeneity as well as technical artifacts using Item Response Theory. To cope with the increasing need for accurate cancer diagnosis and individualized therapy, we have developed a robust and powerful algorithm called SIBER to systematically identify bimodally expressed genes using next generation RNAseq data. We have shown that prediction models built from these bimodal genes have the same accuracy as models built from all genes. Further, prediction models with dichotomized gene expression measurements based on their bimodal shapes still perform well. The effectiveness of outcome prediction using discretized signals paves the road for more accurate and interpretable cancer classification by integrating signals from multiple sources.

Binding of the HIV-1 gp120 -V3 to cellular glycosphingolipids is necessary for CXCR4 recruitment and infection

Infection by human immunodeficiency virus type 1 (HIV-1) is a multi-step process, and detailed analyses of the various events critical for productive infection are necessary to clearly understanding the infection process and identifying novel targets for therapeutic interventions. Evidence from this study reveals binding of the viral envelope protein to host cell glycosphingolipids (GSLs) as a novel event necessary for the orderly progression of the host cell-entry and productive infection by HIV-1. Data obtained from co-immunoprecipitation analyses and confocal microscopy showed that the ability of viral envelope to interact with the co-receptor CXCR4 and productive infection of HIV-1 were inhibited in cells rendered GSL-deficient, while both these activities were restored after reconstitution of the cells with specific GSLs like GM3. Furthermore, evidence was obtained using peptide-inhibitors of HIV-1 infection to show that binding of a specific region within the V3-loop of the envelope protein gp120 to the host cell GSLs is the trigger necessary for the CD4-bound gp120 to recruit the CXCR4 co-receptor. Infection-inhibitory activity of the V3 peptides was compromised in GSL-deficient cells, but could be restored by reconstitution of GSLs. Based on these findings, a revised model for HIV-1 infection is proposed that accounts for the established interactions between the viral envelope and host cell receptors while enumerating the importance of the new findings that fill the gap in the current knowledge of the sequential events for the HIV-1 entry. According to this model, post-CD4 binding of the HIV-1 envelope surface protein gp120 to host cell GSLs, mediated by the gp120-V3 region, enables formation of the gp120-CD4-GSL-CXCR4 immune-complex and productive infection. The identification of cellular GSLs as an additional class of co-factors necessary for HIV-1 infection is important for enhancing the basic knowledge of the HIV-1 entry that can be exploited for developing novel antiviral therapeutic strategies. ^