Journal
BLOOD
Volume 118, Issue 22, Pages 5891-5900Publisher
AMER SOC HEMATOLOGY
DOI: 10.1182/blood-2011-06-358382
Keywords
-
Categories
Funding
- Danish Foundation for Advanced Technology (Hojteknologifonden)
- Carlsberg Foundation (Carlsbergfondet)
- Danish Research Councils
- Lundbeck Foundation
- Danish Cancer Society (Kraeftens Bekaempelse)
- Dansk Kraeftforsknings Fond
- Novo Nordic Foundation
- Fabrikant Vilhelm Pedersen og Hustrus Mindelegat
- A. P. Moeller Foundation
- University of Copenhagen
- National Cancer Institute [CA89194]
- LEO Pharma A/S
- Exiqon A/S
Ask authors/readers for more resources
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 that the most induced (miR-326, miR-663b, and miR-711) and repressed (miR-203 and 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. Quantitative (q)RT-PCR analysis of 103 patients with CTCL and benign skin disorders validates differential expression of 4 of the 5 miRNAs and confirms previous reports on miR-155 in CTCL. A qRT-PCR-based classifier consisting of miR-155, miR-203, and miR-205 distinguishes CTCL from benign disorders with high specificity and sensitivity, and with a classification accuracy of 95%, indicating that miRNAs have a high diagnostic potential in CTCL. (Blood. 2011;118(22):5891-5900)
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available