Project description:MicroRNA expression profiles can distinguish normal B cells from malignant B cells in chronic lymphocytic leukemia (CLL). We investigated whether microRNA profiles are associated with known prognostic factors in CLL. We evaluated the microRNA expression profiles of 94 samples of CLL cells for which ZAP-70 expression, mutations in the rearranged IgVH gene, and the time from diagnosis to initial treatment were known. We also investigated the presence of abnormalities in the genomic sequence of 42 microRNA genes.
Project description:MicroRNAs are a class of small non-coding RNAs that control gene expression by targeting messenger RNAs and triggering either translation repression or RNA degradation. Their aberrant expression may be involved in human diseases, including cancer. Indeed, microRNA aberrant expression has been previously found in human chronic lymphocytic leukemias, where microRNA signatures were associated with specific clinico-biological features. Here, we show that, in comparison to normal breast tissue, microRNAs are also aberrantly expressed in human breast cancer. The overall microRNA expression could clearly separate normal versus cancer tissues, with the most significantly deregulated microRNAs being mir-125b, mir-145, mir-21, mir-155. Results were confirmed by microarray and Northern blot analyses. We could identify microRNAs whose expression was correlated with specific breast cancer bio-pathologic features, such as estrogen and progesterone receptor expression, tumor stage, vascular invasion or proliferation index.
Project description:MicroRNA-expression profiling according to the Wilms tumor 1 (WT1) single nucleotide polymorphism rs16754 in adult de novo cytogenetically normal acute myeloid leukemia patients >=60 years.
Project description:MicroRNA expression profiles in response to LBH589 were examined in order to identify HDACi-induced alterations in miRNA expression that regulate apoptotic signaling in chronic lymphocytic leukemia.plasia. miRNA microarray analysis identified unique alterations in miRNA profile that could be used to identify new pathways for apoptosis regulation in CLL.
Project description:We profiled miRNA expression in tissue samples (104 HCC, 90 adjacent cirrhotic livers, 21 normal livers) as well as in 35 HCC cell lines. A set of 12 miRNAs (including miR-21, miR-221/222, miR-34a, miR-519a, miR-93,miR-96, and let-7c) was linked to disease progression from normal liver through cirrhosis to full-blown HCC. miR-221/222, the most upregulated miRNAs in tumor samples, are shown to target the CDK inhibitor p27 and to enhance cell growth in vitro. Conversely, these activities can be efficiently inhibited by an antagomiR specific for miR-221. In addition, we show, using a mouse model of liver cancer, that miR-221 overexpression stimulates growth of tumorigenic murine hepatic progenitor cells.
Project description:microRNA expression microarray data for analysis of BAALC- and ERG-related miR-expression signatures in older patients with cytogenetically normal AML. The signal intensity was calculated for each spot making an adjustment for local background (i.e., mean foreground minus the median background). Signal intensities less than one were set equal to one and then log-transformed. Log-intensities from replicate spots were averaged. Quantile normalization was performed on arrays using all human and mouse microRNA probes represented on the array. For each microRNA probe, an adjustment was made for batch effects (ie, differences in expression related to the batch in which arrays were hybridized). The normalized data has not been submitted to ArrayExpress.
Project description:MicroRNA miRNA expression profiles for human ovarian carcinomas were examined to investigate the miRNA involvement in the development of this neoplasia. miRNA microarray analysis identified statistical unique profiles, which could discriminate ovarian carcinomas from noncancerous ovarian tissues, and different groups of tumors classified according to histo-pathological characteristics.