Project description:Mutation in the nucleophosmin (NPM1) gene is frequent in acute myeloid leukemia (AML). This mutation has remarkable prognostic significance and correlates with distinct biological features. Our data from the sample-paired microRNA (miRNA) and mRNA microarrays of de novo AML patients strongly indicated that miRNAâmRNA regulation (MMR) may be dynamic and can be modulated by NPM1 mutation. We identified 493 NPM1 mutation-modulated MMR pairs by a systematic framework, in which MMR was attenuated specifically in patients carrying NPM1 mutations. The involved miRNAs/mRNAs were associated with cancer and hematological diseases, as well as known functions of NPM1 mutation including cell death and cellular response to therapeutics. The NPM1 mutation modulation could be validated with three approaches, including two independent cohort datasets, a high-throughput dataset derived from cell line-based experiments, and two in vitro models. Our study provides novel biological insights into the role of NPM1 mutation as a modulator of MMR, based on which novel prognostic markers are derived in AML. Cryopreserved bone marrow cells were obtained from 109 de novo AML patients. Each sample was analyzed with nCounter® Human miRNA Expression Array.
Project description:Mutation in the nucleophosmin (NPM1) gene is frequent in acute myeloid leukemia (AML). This mutation has remarkable prognostic significance and correlates with distinct biological features. Our data from the sample-paired microRNA (miRNA) and mRNA microarrays of de novo AML patients strongly indicated that miRNAâmRNA regulation (MMR) may be dynamic and can be modulated by NPM1 mutation. We identified 493 NPM1 mutation-modulated MMR pairs by a systematic framework, in which MMR was attenuated specifically in patients carrying NPM1 mutations. The involved miRNAs/mRNAs were associated with cancer and hematological diseases, as well as known functions of NPM1 mutation including cell death and cellular response to therapeutics. The NPM1 mutation modulation could be validated with three approaches, including two independent cohort datasets, a high-throughput dataset derived from cell line-based experiments, and two in vitro models. Our study provides novel biological insights into the role of NPM1 mutation as a modulator of MMR, based on which novel prognostic markers are derived in AML. Cryopreserved bone marrow cells were obtained from 109 de novo AML patients. Each sample was analyzed with Illumina HumanHT-12 V4.0 expression beadchip.
Project description:miRNAs are known to be involved in PDAC tumorigenesis, but only a few biologically relevant gene targets have been identified. Here we show that three miRNAs (miR-21, miR-23a and miR-27a) act in concert for the cooperative suppression of several tumor suppressor genes of which we experimentally validated PDCD4, BTG2 and NEDD4L. The synergistic inhibition of this triple miRNA combination is capable of reducing PDAC growth in a mouse model greater than inhibition of oncomiR-21 alone. Patients samples of normal pancreas (n=9) or pancreatic ductal adenocarcinoma (PDAC; n=9) were retrieved during surgery and placed in RNA Later stabilization fluid and then kept at minus 80 until required.
Project description:We generated H460 cells with acquired TRAIL resistance by exposing the parental sentisitve cells to subtoxic concentrations of TRAIL for 6 months. Then we compared the microRNA expression profile in the sensitive versus resistant cells. H460 cells were treated with subtoxic concentrations of TRAIL for 6 month. After confirmation of the resistance, the RNA was extracted and the microRNA expression profile was analyzed using the NanoString technology.
Project description:Background: Molecular adaptations in the striatum mediated by dopamine (DA) denervation or Levodopa (L-dopa) treatment have been implicated with the motor deficits found in Parkinsonâ??s disease (PD). Alterations in glutamatergic neurotransmission and anti-oxidant mechanisms are reported to play important roles in mediating these changes. However, the mechanisms mediating the molecular adaptations in the striatum are not well understood. In recent years, microRNAs (miRNAs) have been recognized as potent post-transcriptional regulators of gene expression with fundamental roles in numerous biological processes. miRNAs are known to influence the development and maintenance of striatal neurons. Therefore, we sought to determine the genome-wide expression levels of miRNAs in PD striatal tissues. Methods: Using a digital gene expression platform to quantify miRNA levels, we compared the expression of 800 miRNAs in human postmortem putamen tissues from PD patients and controls. Results: We detected the expression of approximately 250 miRNAs in postmortem human putamen samples collected from patients with PD and healthy controls. There was an abundance of a subset of 17 miRNAs (10 up- and 7 down-regulated) differing substantially between PD and the control tissues. Conclusions: We identified deregulated miRNAs most likely associated with altered striatal functions found in PD. This approach may provide insight into pathogenesis and additional therapeutic targets for the development novel treatment strategies for the disease. Human postmortem putamen tissues from 12 patients with PD symptoms and 12 neurologically normal controls. Samples were obtained from the Human Brain and Spinal Fluid Resource Center, Los Angeles, CA through NIH NeuroBioBank, and stored at -80°C until RNA isolation. Total RNA was extracted using the miRVana RNA isolation kit, following the manufacturerâ??s instructions (Ambion). Using 225ng total RNA, miRNA levels were assayed by direct digital detection using Nanostring miRNA assay kits (Nanostring Technologies).
Project description:We compared transcriptomic profiles of ICC tumor specimens to hepatocellular carcinoma (HCC) specimens using Affymetrix mRNA array and the miRNA array platforms to search for unique gene signatures linked to patient prognosis. ICC and HCC share common stem-like molecular characteristics and stem-like tumor features associated with poor prognosis. Gene expression profiling of 16 intrahepatic cholangiocarcinoma (ICC), 7 mixed type of combined hepatocellular cholangiocarcinoma (CHC), 2 Hepatic adenoma, 3 focal nodular hyperplasia (FNH), 5 non-tumor liver tissues, and 2 CCA cell lines were performed.
Project description:MicroRNA deregulation is frequent in human colorectal cancers (CRCs) but little is known to whether it represents a bystander event or actually drives tumor progression in vivo. We show that miR-135b over-expression is triggered in mouse and humans by APC loss, PTEN/PI3K pathway deregulation and by SRC over-expression and promotes tumor transformation and progression. We show that miR-135b up-regulation is common to sporadic and inflammatory bowel disease-associated human CRCs and correlates with tumor stage and poor clinical outcome. Inhibition of miR-135b in CRC mouse models reduces tumor growth controlling genes involved in proliferation, invasion and apoptosis. We identify miR-135b as a key down-steam effector of oncogenic pathways and a potential novel target for CRC patient’s treatment. RNA was extracted from fresh frozen tissues from tumours from APC;CpC and AOM/DSS mice and normal matched tissues
Project description:As a rapid Stem11 scoring platform, a custom NanoString nCounter panel was designed. Alongside the Stem11 genes, the previously published LSC17 genes were included as an established transcriptional prognostic system for AML. For data normalization, seven housekeeping genes were further included from a previous custom NanoString nCounter panel. The full list of the 35 genes in our custom panel is provided in the manuscript.
Project description:Triple negative breast cancer (TNBC) includes basal and non-basal subclasses. To further stratify TNBC we determined microRNA (miRNA) and mRNA expression profiles, linked specific miRNA signatures to patient survival and used miRNA/mRNA anti-correlations to identify TNBC subclasses associated with expression of canonical signal pathways RNA was isolated from formalin-fixed paraffin-embedded tissue cores of 165 primary tumors, 59 adjacent normal and 54 lymph node metastatic samples and expression of 664 miRNAs and 230 cancer-associated mRNAs was assessed for each sample using the nanoString nCounter platform. Kaplan-Meier distant-disease free and overall survival curves were compared using the log-rank test. Cox proportional hazard regression and risk score analysis were used to identify miRNAs for classification of patients with significantly different prognoses.