Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Diagnostic microRNA profiling in cutaneous T-cell lymphoma (CTCL)

ABSTRACT: Cutaneous T-cell lymphomas (CTCL) are the most frequent primary skin lymphomas. Nevertheless, diagnosis of early disease has proven difficult due to a clinical and histological resemblance to benign inflammatory skin diseases. To address if microRNA (miRNA) profiling can discriminate CTCL from benign inflammation, we study miRNA expression in 199 patients with CTCL, peripheral T-cell lymphoma (PTL), and benign skin diseases (psoriasis and dermatitis). Using microarrays we show that the most induced- (miR-326, miR-663b, miR-711) and repressed- (miR-203, miR-205) miRNAs distinguish CTCL from benign skin diseases with > 90% accuracy in a training set of 90 samples and a test set of 58 blinded samples. These miRNAs also distinguish malignant and benign lesions in an independent set of 50 patients with PTL and skin inflammation and in experimental human xenograft mouse models of psoriasis and CTCL. Q-RT-PCR analysis of 104 patients with CTCL and benign skin disorders validates differential expression of 4 out of the 5 miRNAs and confirms previous reports on miR-155 in CTCL. A q-RT-PCR-based classifier consisting of miR-155, miR-203, and miR-205 distinguishes CTCL from benign disorders with high specificity, sensitivity, and a classification accuracy of 95% indicating that miRNAs have a high diagnostic potential in CTCL. miRNA microarray. From each sample 100 ng of total RNA was labeled with Hy3 fluorescent dye using the miRCURY LNA Array power labeling kit (Exiqon, Denmark). All samples were labeled the same day with the same master mix, in order to minimize technical variation. The Hy3-labelled samples were hybridized to miRCURY LNA arrays (v11.0) (Exiqon, Denmark), containing capture probes targeting all human miRNAs registered in the miRBASE version 15.0 at the Sanger Institute. The hybridization was performed overnight at 56Â°C according to manufacturer specifications using a Tecan HS4800 hybridization station (Tecan, Austria). Since it was not possible to hybridize all arrays in one go, samples were randomly split into 5 batches as to minimize day to day variation in the hybridization process. After hybridization the microarray slides were scanned using an Agilent G2565BA Microarray Scanner System (Agilent Technologies, Inc., USA) at 5Âµm resolution, and the resulting TIFF images were analyzed using the ImaGene 8.0 software on standard settings (BioDiscovery, Inc., USA).

ORGANISM(S): Homo sapiens

SUBMITTER: Rolf SÃ¸kilde

PROVIDER: E-GEOD-31408 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Diagnostic microRNA profiling in cutaneous T-cell lymphoma (CTCL).

Ralfkiaer Ulrik U Hagedorn Peter H PH Bangsgaard Nannie N Løvendorf Marianne B MB Ahler Charlotte B CB Svensson Lars L Kopp Katharina L KL Vennegaard Marie T MT Lauenborg Britt B Zibert John R JR Krejsgaard Thorbjørn T Bonefeld Charlotte M CM Søkilde Rolf R Gjerdrum Lise M LM Labuda Tord T Mathiesen Anne-Merete AM Grønbæk Kirsten K Wasik Mariusz A MA Sokolowska-Wojdylo Malgorzata M Queille-Roussel Catherine C Gniadecki Robert R Ralfkiaer Elisabeth E Geisler Carsten C Litman Thomas T Woetmann Anders A Glue Christian C Røpke Mads A MA Skov Lone L Odum Niels N

Blood 20110824 22

Cutaneous T-cell lymphomas (CTCLs) are the most frequent primary skin lymphomas. Nevertheless, diagnosis of early disease has proven difficult because of a clinical and histologic resemblance to benign inflammatory skin diseases. To address whether microRNA (miRNA) profiling can discriminate CTCL from benign inflammation, we studied miRNA expression levels in 198 patients with CTCL, peripheral T-cell lymphoma (PTL), and benign skin diseases (psoriasis and dermatitis). Using microarrays, we show ...[more]

PMID: 21865341

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Project description:Increasing evidences support a potential role for the Signal Transducer and Activator of Transcription-3 (STAT3) as a tumor driver in cutaneous T-cell lymphoma (CTCL). However, the mechanisms leading to STAT3 pathway activation in CTCL and how STAT3 activation contributes to lymphomagenesis remains primarily not enough explored. Recently, we found that miR-124, a known STAT3 regulator in cancer, is robustly silenced in Mycosis Fungoides (MF) tumor-stage and CTCL cell lines and we have herein studied whether deregulation of miR-124 contributes to activate STAT3 pathway in CTCL. Material and Methods: DNA methylation status of miR-124 and its expression levels in response to the DNA-demethylating agent azacitidine were evaluated in CTCL cell lines by pyrosequencing analysis. CTCL cell lines were transient transfected with a lentiviral vector encoding miR-124 and transfected cells were analyzed for phosphorylated STAT3 (P-STAT3) levels. The impact on STAT3 signaling was evaluated using expression microarray on CTCL cell lines in both conditions, miR-124 absent (malignant condition) versus miR-124 expressed (lentiviral transduction). Results: A significant promoter methylation and silencing of miR-124 in MF tumor samples and CTCL cell lines was detected. DNA methylation levels of miR-124 in CTCL cell lines were restored (and subsequently miR-124 were overexpressed) after DNA demethylation. Ectopic lentiviral expression of miR-124 downregulated STAT3 in the different CTCL cell lines. Genes differentially expressed regarding miR-124 regulation in CTCL cell lines indicated impact on known cell survival and function pathways and, particularly, intervention on miR-124 expression modulated different STAT3 pathway components. Conclusions: Our study deciphers a novel epigenetic mechanisms regulating STAT3 pathway in CTCL. This might contribute to a better understanding the molecular basis in CTCL development. Deregulation of STAT3 seems to have a major impact on cell survival in CTCL cell lines indicating the potential interest of targeting STAT3 with specific therapies.

Project description:Adult aging is a complex biological process associated with altered gene expression and a decline in physiological performance. The microRNAs have been implicated in cardiac development, cardiac hypertrophy and heart failure. However, the impact of adult aging on cardiac expression of both miRNA guide strand (miR) and passenger strand (miR*), as well as miRNA clusters have not been well established. We explored the expression profile of both miR and miR* in the heart. We found that 65 miRNAs were differentially expressed in old versus young adult heart; approximately half of them were clustered miRNAs that were distributed in 11 miRNA clusters. Each miRNA cluster contains from 2 to as many as 71 miRNA genes. The majority of the clusters displayed unified expression, with most cluster members within a cluster being either increased or decreased together, suggesting that most clusters are regulated by a common signaling mechanism and that the combined expression of multiple miRNA genes in a cluster could pose an impact on a broad range of targets during aging. We also found age-related changes in the expression of miR*s. Bioinformatic analysis revealed that miR-21 and miR-21* had their own silencing targets. The expression of both miR and miR* correlated with that of pri-miRNA transcript over the time course from development and maturation through adult aging. Age-related changes in the expression of Ago1 and Ago2 proteins in the heart were also observed. Our data suggest that a concert of effects, including transcriptional regulation of pri-miRNA transcript and altered expression of Argonaut proteins, contribute to age-related changes in the expression of both miR and miR* strands during adult aging. The major changes occurred later in life, from middle to old age. It is likely that the expression of both miR and miR* is regulated by transcription and Ago1 and Ago2 proteins. Six healthy C57BL/6 mice were used in this study. Three of them were 4 months old (young adult mice: YA), and the other three were 24 months old (old mice). Total RNA samples were isolated from mouse hearts and then shipped to Exiqon Inc., where microRNA array analysis was performed. Three array slides were used for the hybridization. Each array slide hybridized with two samples labeld with either Hy3 or Hy5, with array #1 being hybridized with samples YA-1 (Hy3) and Old-1 (Hy5), array #2 with samples YA-2 (Hy3) and Old-2 (Hy5) and array #3 with samples YA-3 (Hy5) and Old-3 (Hy3). In our publication, we reveal the detail of the experiment and statistical analysis that were provided by Exiqon Inc.

Dataset Information

Diagnostic microRNA profiling in cutaneous T-cell lymphoma (CTCL)

Publications

Diagnostic microRNA profiling in cutaneous T-cell lymphoma (CTCL).

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