962 resultados para MESODERMAL TUMOR


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Purpose. A descriptive analysis of glioma patients by race was carried out in order to better elucidate potential differences between races in demographics, treatment, characteristics, prognosis and survival. ^ Patients and Methods. Among 1,967 patients ≥ 18 years diagnosed with glioma seen between July 2000 and September 2006 at The University of Texas M.D. Anderson Cancer Center (UTMDACC). Data were collated from the UTMDACC Patient History Database (PHDB) and the UTMDACC Tumor Registry Database (TRDB). Chi-square analysis, uni- /multivariate Cox proportional hazards modeling and survival analysis were used to analyze differences by race. ^ Results. Demographic, treatment and histologic differences exist between races. Though risk differences were seen between races, race was not found to be a significant predictor in multivariate regression analysis after accounting for age, surgery, chemotherapy, radiation, tumor type as stratified by WHO tumor grade. Age was the most consistent predictor in risk for death. Overall survival by race was significantly different (p=0.0049) only in low-grade gliomas after adjustment for age although survival differences were very slight. ^ Conclusion. Among this cohort of glioma patients, age was the strongest predictor for survival. It is likely that survival is more influenced by age, time to treatment, tumor grade and surgical expertise rather than racial differences. However, age at diagnosis, gender ratios, histology and history of cancer differed significantly between race and genetic differences to this effect cannot be excluded. ^

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The p53 transcription factor is a tumor suppressor and a master regulator of apoptosis and the cell cycle in response to cell stress. In some advanced tumors, such as prostate cancers, the loss of p53 correlates with an increase in the occurrence of metastases. In addition, several groups have suggested that p53 status correlates with changes in cell migration and cell morphology associated with a migratory phenotype. Others have identified several genes with roles in cell migration that are directly transcriptionally regulated by p53. Even so, modulation of cell migration is not widely recognized as a p53 stress response. ^ In an effort to identify novel p53 target genes and expand our knowledge of the p53 transcriptional response, we performed Affymetrix gene expression analysis in p53-null PC3 prostate cancer cells following infection with a control virus or adenoviral construct expressing wild-type p53. Over 300 genes that had not been previously recognized as p53 target genes were identified. Of these genes, 224 were upregulated and 111 were downregulated (p<0.05). Functional over-representation analysis identified cell migration as a significantly over-represented biological function of p53. Further analysis identified two genes that are critical for the control of cell migration as potential p53 targets. One, hyaluronan mediated motility receptor (HMMR), has recently been shown to be a p53 target important for regulation of the cell cycle. Here, we show that HMMR is downregulated by p53 in several cell lines, and HMMR's regulation is dependent on the presence of the cdk inhibitor, p21, and histone deactelyase activity. The other gene, carcinoembryonic antigen-related cell adhesion molecule 1 (CEACAM1), itself a tumor suppressor, is shown here, for the first time, as a p53 direct target by ChIP analysis. We next determined the effect of p53 activation on cell migration and found that p53 significantly slows the rate of cell migration in Boyden chamber migration assays and digital videomicroscopy wound healing studies. Further, our studies established the specific roles of CEACAM1 and HMMR in cell migration and determine that loss of CEACAM1 and overexpression of HMMR independently contribute to increased cell migration. Taken together, these studies provide a direct mechanistic link between p53 to the regulatory control of specific target genes that mediate cell adhesion and migration. ^