Expression data from CTCL patient skin lesion
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ABSTRACT:
PROVIDER: PRJNA417497 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Expression data from CTCL patient skin lesion [Agilent]
| PRJNA417498 | ENA
Project description:Expression data from CTCL patient skin lesion [Affymetrix]
| PRJNA417499 | ENA
Project description:Cutaneous T cell lymphoma (CTCL) can have clinical and histological features resembling benign inflammatory dermatosis (BID) and can be difficult to diagnose especially at the early stage of CTCL. We used microarrays to detail the global alteration of miRNA transcriptome and generate a diagnosis and prognosis signature.
2017-11-08 | GSE106645 | GEO
Project description:Cutaneous T cell lymphoma (CTCL) can have clinical and histological features resembling benign inflammatory dermatosis (BID) and can be difficult to diagnose especially at the early stage of CTCL. We used microarrays to detail the global alteration of miRNA transcriptome and generate a diagnosis and prognosis signature.
2017-11-08 | GSE106644 | GEO
Project description:This SuperSeries is composed of the SubSeries listed below.
2017-11-08 | GSE106646 | GEO
Project description:Cutaneous T cell lymphoma (CTCL) is defined by infiltration of activated and malignant T cells in skin. The clinical manifestations and prognosis in CTCL are highly variable. In this study, we hypothesized that gene expression analysis in lesional skin biopsies can improve understanding of the disease and its management. Based on 63 skin samples, we performed consensus clustering, revealing three patient clusters. Two clusters tended to differentiate limited CTCL (stages IA and IB) from more extensive CTCL (stages IB and III). Stage IB subjects appeared in both clusters, but those in the limited CTCL cluster were more responsive to treatment than those in the more extensive CTCL cluster. The third cluster was enriched in lymphocyte activation genes and was associated with a high proportion of tumor (stage IIB) lesions. Survival analysis revealed significant differences in event-free survival between clusters, with poorest survival seen in the activated lymphocyte cluster. Using supervised analysis, we further characterized genes significantly associated with lower stage/treatment responsive versus higher stage/treatment resistant CTCL. We conclude that transcriptional profiling of CTCL skin lesions reveals clinically relevant signatures, correlating with differences in survival and response to treatment. Additional prospective long-term studies to validate and refine these findings appear warranted. Keywords: disease state analysis
2007-11-01 | GSE9479 | GEO
Project description: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.
2011-11-22 | GSE31408 | GEO
Project description:mRNA sequencing for 6 samples of skin-derived mesenchymal stem cells from either normal skin or psoriasis skin lesion.
2019-12-31 | GSE108743 | GEO
Project description: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 56°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 5µm resolution, and the resulting TIFF images were analyzed using the ImaGene 8.0 software on standard settings (BioDiscovery, Inc., USA).
2011-11-22 | E-GEOD-31408 | biostudies-arrayexpress
Project description:TOX is a nuclear factor essential for the development of CD4+ T cells in the thymus. TOX is found to be aberrantly up-regulated in the skin biopsies and in the blood CD4+ T cells of cutaneous T cell lymphoma. The goal of this study is to identify potential transcriptional targets of TOX in CTCL by comparison between TOX shRNA transfected CTCL cells (Hut78 and HH) and control CTCL cells.
2014-04-29 | GSE57122 | GEO