Single cell RNA-seq of skin biopsies from patients with cutaneous T cell lymphoma (CTCL)
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB81542 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| Other | ||||
| ERR13866415_1.fastq.gz | Fastqsanger.gz | |||
| ERR13866415_2.fastq.gz | Fastqsanger.gz | |||
| ERR13866642_1.fastq.gz | Fastqsanger.gz | |||
| ERR13866642_2.fastq.gz | Fastqsanger.gz |
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Project description:Spatial transcriptomics of skin biopsies from patients with cutaneous T cell lymphoma (CTCL)
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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. Experiment Overall Design: 63 skin biopsies from patients with different stages of disease were selected for RNA extraction and hybridization on Affymetrix microarrays
2008-06-16 | E-GEOD-9479 | biostudies-arrayexpress
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: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:CTCLs are a group of non-Hodgkin lymphomas, with non-aggressive forms (Mycosis fungoides (MF)) initially presenting with features of cutaneous eczema or psoriasis, posing a challenge for clinical and histological diagnosis. Using spatial transcriptomics, we hope to delineate the molecular signatures of CTCL to provide novel avenues for diagnostics and therapies.
2024-04-01 | E-MTAB-13614 | biostudies-arrayexpress
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:CTCLs are a group of non-Hodgkin lymphomas, with non-aggressive forms (Mycosis fungoides (MF)) initially presenting with features of cutaneous eczema or psoriasis, posing a challenge for clinical and histological diagnosis. Using scRNA-seq, we hope to delineate the molecular signatures of CTCL to provide novel avenues for diagnostics and therapies.
2024-11-11 | E-MTAB-12303 | biostudies-arrayexpress
Project description:Cutaneous T-cell lymphomas form a heterogeneous group of non-Hodgkin lymphomas characterized by only poor prognosis in advanced stage. Despite significant progress made in the identification of novel genes and pathways involved in the pathogenesis of cutaneous lymphoma, the therapeutic value of these findings has still to be proven. Here, we demonstrate by gene expression arrays that aurora kinase A is one of highly overexpressed genes of the serine/threonine kinase in CTCL. The finding was confirmed by qualitative RT-PCR, Western blotting and immunohistochemistry in CTCL cell lines and primary patient samples. Moreover, treatment with a specific aurora kinase A inhibitor blocks cell proliferation by inducing cell cycle arrest in G2 phase as well as apoptosis in CTCL cell lines. These new data provide a promising rationale for using aurora kinase A inhibition as a therapeutic modality of CTCL. 14 lesional skin biopsies of different MF patients (patch=3, plaque=6, tumor=4) and 9 healthy controls. Comparison between Cutaneus Tcell Lymphoma Samples and Healthy Control Tissue
2015-03-31 | E-GEOD-59307 | 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
Project description:Cutaneous T-cell lymphoma (CTCL) is a malignancy of skin-homing T cells. A subgroup of patients develops large cell transformation with progression to an aggressive lymphoma and with poor survival. We aimed to study the transformed CTCL (tCTCL) ecosystem using integrative approaches spanning whole-exome sequencing (WES), single-cell RNAseq, and immune profiling in a unique cohort of 56 patients with tCTCL
2024-07-12 | GSE272005 | GEO