The role of reactive astrocytes in the resistance of melanoma brain metastasis to chemotherapy

Brain metastasis is resistant to chemotherapy while the leaky blood-brain-barrier in brain metastasis can not be the underlying reason. Metastatic tumor cells (“seed”) exploit the host microenvironment (“soil”) for survival advantages. Astrocytes which maintain the homeostasis of the brain microenvironment become reactive subsequent to brain damages and protect neurons from various injuries. We observed reactive astrocytes surrounding and infiltrating into brain metastasis in both clinical specimen and experimental animal model, thus raising a possibility that reactive astrocytes may protect tumor cells from cytotoxic chemotherapeutic drugs. ^ To test this hypothesis, we first generated an immortalized astrocyte cell line from H-2Kb-tsA58 mice. The immortal mouse astrocytes expressed specific markers including GFAP. Scanning electron microscopy demonstrated that astrocytes formed direct physical contact with tumor cells. Moreover, the expression of GFAP by astrocytes was up-regulated subsequent to co-culture with tumor cells, indicating that the co-culture of astrocytes and tumor cells may serve as a model to recapitulate the pathophysiological situation of brain metastasis. ^ In co-culture, astrocytes dramatically reduced apoptosis of tumor cells produced by various chemotherapeutic drugs. This protection effect was not because of culturing cells from different species since mouse fibroblasts did not protect tumor cells from chemotherapy. Furthermore, the protection by astrocytes was completely dependent on a physical contact. ^ Gap junctional communication (GJC) served as this physical contact. Tumor cells and astrocytes both expressed the major component of gap junctional channel—connexin 43 and formed functional GJC as evidenced by the “dye transfer” assay. The blockage of GJC between tumor cells and astrocytes by either specific chemical blocker carbenoxolone (CBX) or by genetically knocking down connexin 43 on astrocytes reversed the chemo-protection. ^ Calcium was the signal molecule transmitted through GJC that rescued tumor cells from chemotherapy. Accumulation of cytoplasmic calcium preceded the progress of apoptosis in tumor cells treated with chemotherapeutic drugs. Furthermore, chelation of accumulated cytoplasmic calcium inhibited the apoptosis of tumor cells treated with chemotherapeutic drugs. Most importantly, astrocytes could “shunt” the accumulated cytoplasmic calcium from tumor cells (treated with chemotherapeutic drug) through GJC. We also used gene expression micro-array to investigate global molecular consequence of tumor cells forming GJC with astrocytes. The data demonstrated that astrocytes (but not fibroblasts), through GJC, up-regulated the expressions of several well known survival genes in tumor cells. ^ In summary, this dissertation provides a novel mechanism underlying the resistance of brain metastasis to chemotherapy, which is due to protection by astrocytes through GJC. Interference with the GJC between astrocytes and tumor cells holds great promise in sensitizing brain metastasis to chemotherapy and improving the prognosis for patients with brain metastasis. ^

Concept, design and implementation of a cardiovascular gene-centric 50 k SNP array for large-scale genomic association studies.

A wealth of genetic associations for cardiovascular and metabolic phenotypes in humans has been accumulating over the last decade, in particular a large number of loci derived from recent genome wide association studies (GWAS). True complex disease-associated loci often exert modest effects, so their delineation currently requires integration of diverse phenotypic data from large studies to ensure robust meta-analyses. We have designed a gene-centric 50 K single nucleotide polymorphism (SNP) array to assess potentially relevant loci across a range of cardiovascular, metabolic and inflammatory syndromes. The array utilizes a "cosmopolitan" tagging approach to capture the genetic diversity across approximately 2,000 loci in populations represented in the HapMap and SeattleSNPs projects. The array content is informed by GWAS of vascular and inflammatory disease, expression quantitative trait loci implicated in atherosclerosis, pathway based approaches and comprehensive literature searching. The custom flexibility of the array platform facilitated interrogation of loci at differing stringencies, according to a gene prioritization strategy that allows saturation of high priority loci with a greater density of markers than the existing GWAS tools, particularly in African HapMap samples. We also demonstrate that the IBC array can be used to complement GWAS, increasing coverage in high priority CVD-related loci across all major HapMap populations. DNA from over 200,000 extensively phenotyped individuals will be genotyped with this array with a significant portion of the generated data being released into the academic domain facilitating in silico replication attempts, analyses of rare variants and cross-cohort meta-analyses in diverse populations. These datasets will also facilitate more robust secondary analyses, such as explorations with alternative genetic models, epistasis and gene-environment interactions.

Clinical relevance of polymorphic DNA copy number variation (CNV) in African American women with stage I-II breast cancer

Objectives. The chief goal of this study was to analyze copy number variation (CNV) in breast cancer tumors from 25 African American women with early stage breast cancer (BC) using molecular inversion probes (MIP) in order to: (1) compare the degree of CNV in tumors compared to normal lymph nodes, and (2) determine whether gains and/or losses of genes in specific chromosomes differ between pathologic subtypes of breast cancer defined by known prognostic markers, (3) determine whether gains/losses in CN are associated with known oncogenes or tumor suppressor genes, and (4) determine whether increased gains/losses in CN for specific chromosomes were associated with differences in breast cancer recurrence. ^ Methods. Twenty to 37 nanograms of DNA extracted from 25 formalin-fixed paraffin embedded (FFPE) tumor samples and matched normal lymph nodes were added to individual tubes. Oligonucleotide probes with recognition sequences at each terminus were hybridized with a genomic target sequence to form a circular structure. Probes are released from genomic DNA obtained from FFPE samples, and those which have been correctly "circularized" in the proper allele/nucleotide reaction combination are amplified using polymerase chain reaction (PCR) primers. Amplicons were fluorescently labeled and the tag sequences released from the genome homology regions by treatment with uracil-N-glycosylase to cleave the probe at the site where uracils are present, and detected using a complementary tag array developed by Affymetrix. ^ Results. Analysis of CN gains and losses from tumors and normal tissues showed marked differences in tumors with numerous chromosomes affected. Similar changes were not observed in normal lymph nodes. When tumors were stratified into four groups based on expression or lack of expression of the estrogen receptor and HER2/neu, distinct patterns of CNV for different chromosomes were observed. Gains or losses in CN for specific chromosomes correlated with amplifications/deletions of particular oncogenes or tumor suppressor genes (i.e. such as found on chromosome 17) known to be associated with aggressive tumor phenotype and poor prognosis. There was a trend for increases in CN observed for chromosome 17 to correlate inversely with time to recurrence of BC (p=0.14 for trend). CNV was also observed for chromosomes 5, 8, 10, 11, and 16, which are known sites for several breast cancer susceptibility alleles. ^ Conclusions. This study is the first to validate the MIP technique, to correlate differences in gene expression with known prognostic tumor markers, and to correlate significant increases/decreases in CN with known tumor markers associated with prognosis. The results of this study may have far reaching public health implications towards identifying new high-risk groups based on genomic differences in CNP, both with respect to prognosis and response to therapy, and to eventually identify new therapeutic targets for prevention and treatment of this disease. ^