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Status |
Public on Jun 27, 2015 |
Title |
caArray_kuppe-00390: Broad: Lesional gene expression profiling in cutaneous T-cell lymphoma reveals natural clusters associated with disease outcome |
Organism |
Homo sapiens |
Experiment type |
Expression profiling by array
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Summary |
Cutaneous T-cell lymphoma (CTCL) is defined by infiltration of activated and malignant T cells in the 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 3 patient clusters. Of these, 2 clusters tended to differentiate limited CTCL (stages IA and IB) from more extensive CTCL (stages IB and III). Stage IB patients 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 CTCL 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.
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Overall design |
kuppe-00390 Assay Type: Gene Expression Provider: Affymetrix Array Designs: U133AAofAv2 Organism: Homo sapiens (ncbitax) Tissue Sites: Skin Material Types: total RNA, synthetic_RNA, organism_part, whole_organism Disease States: Cutaneous T-cell lymphoma
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Citation(s) |
17638852 |
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Submission date |
Jun 26, 2015 |
Last update date |
Oct 22, 2017 |
Contact name |
Mervi Heiskanen |
E-mail(s) |
mervi.heiskanen@nih.gov
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Phone |
2402765175
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Organization name |
NCI
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Department |
CBIIT
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Street address |
9609 Medical Center Drive, 1W378
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City |
Rockville |
State/province |
MD |
ZIP/Postal code |
20850 |
Country |
USA |
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Platforms (1) |
GPL4685 |
[U133AAofAv2] Affymetrix GeneChip HT-HG_U133A Early Access Array |
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Samples (63)
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Relations |
BioProject |
PRJNA288320 |