GSE9479   Details

GSE Accession GSE9479
Title Expression data from skin biopsies in cutaneous T-cell lymphoma
Submission Date 3/28/13
Last Update Date
Pubmed ID 17638852
Experiment Type Expression profiling by array
Contributor Jessica,,Shin; Stefano Monti; Daniel,J,Aries; Madeleine Duvic; Todd Golub; David,A,Jones; Thomas,S,Kupper
Contact Name Jessica Shin
Contact E-mail
Organization Name Brigham and Women's Hospital
Country USA
Organism Homo sapiens
Organism ID 10/31/07
Organism Synonym man;human
Summary 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
Overall Design 63 skin biopsies from patients with different stages of disease were selected for RNA extraction and hybridization on Affymetrix microarrays
Platform ID
Timepoint Count 62
Timepoints gsm: [_m1, _m2, _m5, _m7, _m8, _m9, _m10, _m11, _m12, _m13, _m14, _m15, _m16, _m17, _m18, _m19, _m20, _m21, _m22, _m23, _m24, _m25, _m27, _m28, _m29, _m30, _m31, _m33, _m34, _m35, _m36, _m37, _m38, _m40, _m41, _m42, _m43, _m44, _m45, _m46, _m47, _m48, _m49, _m50, _m51, _m52, _m53, _m54, _m55, _m56, _m57, _m58, _m59, _m60, _m61, _m62, _m63, _m64, _m65, _m66, _m67, _t1]
Disease
Disease ID