Identification of Recurrence-Related microRNAs in the Bone Marrow of Breast Cancer Patients
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ABSTRACT: MicroRNA microarray analysis was performed to compare microRNA levels in bone marrow from 4 breast cancer patients with recurrent disease and 4 patients without recurrence. To achieve this goal, we used microRNA microarray analysis to compare microRNA expression in bone marrow from breast cancer patients with and without disease recurrence.
Project description:MicroRNA microarray analysis was performed to compare microRNA levels in bone marrow from 4 breast cancer patients with recurrent disease and 4 patients without recurrence.
Project description:Myotonic dystrophy type 1 (DM1), the most common muscular dystrophy in adults, is caused by the expression of expanded CUG repeats, which sequester the MBNL1 RNA binding protein. Cardiac involvement, which is characterized by conduction defects and arrhythmias, is the second cause of death of DM1 patients. Down-expression of miR-1 in mice leads to cardiac conduction disturbances and to arrhythmias. Here, we show that miR-1 expression is decreased in DM1 hearts, due to a mis-regulation of the processing of pre-miR-1. MBNL1 binds to UGC motifs located within the pre-miR-1 loop and competes binding of LIN28, which promotes uridylation and blocks pre-miR-1 processing. Finally and consistent with a down-regulation of miR-1, known, GJA1, and novel, CACNA1C, targets of miR-1 are increased in DM1 hearts. CACNA1C and GJA1 encode the main calcium and gap junction channels in heart, respectively, and their mis-regulation may contribute to the heart arrythmias and conduction defects observed in DM1 patients. Total RNA of 3 control and 3 CDM1 primary culture of muscle cells differentiated 10 days into myotubes was extracted using Trizol and analyzed by Agilent microarray.
Project description:Purpose: Several risk factors for local recurrence of breast cancer after breast conserving therapy (BCT) have been identified. The identification of additional risk factors would be very useful in guiding optimal therapy and also improve understanding of the mechanisms underlying local recurrence. We used cDNA microarray analysis to identify gene expression profiles associated with local recurrence. Experimental Design: Using 18K cDNA microarrays, gene expression profiles were obtained from 50 patients who underwent BCT. Of these 50 patients 19 developed a local recurrence; the remaining 31 patients were selected as controls as they were free of local recurrence at least 11 years after treatment. For 9/19 patients also the local recurrence was available for gene expression profiling. Unsupervised and supervised methods of classification were used to separate patients in groups corresponding to disease outcome and to study the overall gene expression pattern of primary tumors and their recurrences. Results: Hierarchical clustering of patients did not show any grouping reflecting local recurrence status. Supervised analysis revealed no significant set of genes that was able to distinguish recurring tumors from non-recurring tumors. Paired-data analysis of primary tumors and local recurrences showed a remarkable similarity in gene expression profile between primary tumors and their recurrences. Conclusions: No significant differences in gene expression between primary breast cancer tumors in patients with or without local recurrence after breast conserving therapy were identified. Furthermore, analyses of primary tumors and local recurrences show a preservation of the overall gene expression pattern in the local recurrence, even after radiotherapy. Keywords: gene expression profiling
Project description:In this study, we utilized microRNA expression profiling to assess risk of HCC recurrence after liver resection. We examined microRNA expression profiling in paired tumor and non-tumor liver tissues of 73 HCC patients with mild cirrhosis (Child-Pugh A/B) who satisfy Milan Criteria. We constructed prediction models of recurrence-free survival using Cox proportional hazard model and principal component analysis.
Project description:To identify the role of miRNAs in patient bone marrow (BM) and explore the function of these molecules during HCC progression, we employed microarray-based profiling to analyze miRNA expression in the BM of patients with HCC. MicroRNA expression in the BW of HCC patients was measured by using microarray-based profiling. BM cells were separated into 3fraction by cell surface markers as follows: CD45+(macrophage), CD14-/CD45+(lymphocyte) and CD14-/CD45-/EpCAM+(epithelial cell).
Project description:MicroRNA profiling was performed using multiplex qPCR on laser micro dissected material from 36 PC patients to identify microRNAs associated with recurrence after radical prostatectomy
Project description:RNA-seq of bone marrow CD34+ cells from myelodysplastic syndrome patients with and without SF3B1 mutation and from healthy controls