Project description:SNP arrays allow for genome-wide profiling of copy-number alterations (CNAs) and copy-neutral runs of homozygosity (ROH) at high resolution. To identify novel genetic lesions in myeloproliferative neoplasms (MPN), a large series of 151 clinically well-characterized patients was analyzed in our study. CNAs were rare in essential thrombocythemia and polycythemia vera. In contrast, approximately one third of myelofibrosis patients exhibited small genomic losses (< 5 Mb). In two secondary myelofibrosis cases the tumor suppressor gene NF1 in 17q11.2 was affected. Sequencing analyses revealed a mutation in the remaining NF1 allele of one patient. In terms of ROH, no chromosomes other than 9p were recurrently affected. In conclusion, in our study we identified novel genomic aberrations in MPN, in particular in patients with myelofibrosis. Further analyses on single-gene level are necessary to uncover the mechanisms that are involved in the pathogenesis of MPN.
Project description:The dataset contains microarray data from six patients diagnosed with essential thrombocythemia or myelofibrosis. The dataset was created in order to study the presence of copy number abnormalities or copy number neutral losses of heterozygosity in the genomes of the tumor tissue of these patients.
Project description:Primary myelofibrosis (PMF) is a Myeloproliferative Neoplasm (MPN) characterized by megakaryocyte hyperplasia, progressive bone marrow fibrosis, extramedullary hematopoiesis and transformation to Acute Myeloid Leukemia (AML). Beginning in early 2005, a number of novel mutations involving JAK2, CALR, MPL, TET2, ASXL1, DNMT3a, CBL, IDH1 and IDH2 have been described in MPNs, depicting a really complex genomic landscape for MPNs. To shed light on the genomic lesions that can contribute to disease phenotype and/or development, we integrated gene expression and copy number signals and identified several genomic abnormalities leading to a concordant alteration in gene expression levels. In particular, copy number gain in the polyamine oxidase (PAOX) gene locus is accompanied by a coordinated transcriptional up-regulation in PMF patients. Inhibition of PAOX resulted in rapid cell death in PMF progenitor cells, but not in normal cells, suggesting that PAOX inhibition could represent a therapeutic strategy to selectively target PMF cells without affecting normal hematopoietic cells’ survival. Moreover, copy number loss in the chromatin modifier HMGXB4 gene correlates with a concomitant transcriptional down-regulation in PMF patients. Interestingly, silencing of HMGXB4 induces megakaryocyte differentiation, while inhibiting erythroid development, in human hematopoietic stem/progenitor cells. These results highlight a previously un-reported, yet potentially interesting role of HMGXB4 in the hematopoietic system suggesting that genomic and transcriptional imbalances of HMGXB4 could contribute to the aberrant expansion of the megakaryocytic lineage that characterize PMF patients. In this study, the authors take advantage of the integrative analysis of gene expression and copy number data to identify the concordant gain/up-regulation of the polyamine oxidase PAOX and the loss/down-regulation of the chromatin modifier HMGXB4. This work sheds light on the influence of genomic abnormalities on gene expression regulation in PMF CD34+ cells and on their contribution to specific features of PMF, such as a hyperplastic megakaryopoiesis.
Project description:Genome wide copy number profiling of 20 PDAC cell lines to facilitate identification of novel tumor suppressor genes using an integrative genomics approach.
Project description:Copy number analysis of primary esophageal squamous cell carcinoma (ESCC) from 40 patients in Japan. Integrative analysis of gene expression profiles and genomic alterations obtained from array-CGH and NGS provided us new insight into the pathogenesis of ESCC.
Project description:Genome wide copy number profiling of 20 PDAC cell lines to facilitate identification of novel tumor suppressor genes using an integrative genomics approach. Profiling of 20 commonly used PDAC cell lines
Project description:Integrative Genomics Reveals Mechanisms of Copy Number Alterations Responsible for Transcriptional Deregulation in Colorectal Cancer