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GEN3VA Reports for these tags

Melanoma

SOFT file
Title / Description Transcriptome profiling identifies HMGA2 as a novel gene in melanoma progression
Accession GSE15605
Summary The identification of novel tumor-specific markers may improve understanding of melanoma progression and prognostic accuracy. Whole genome expression profiling of 46 primary melanomas, 12 metastases, and 16 normal skin samples using Affymetrix U133 PLUS 2.0 array generated gene lists including both known and new melanoma genes. The molecular genetic alterations contributing to the pathogenesis of melanoma are incompletely defined and few independent prognostic features have been identified beyond the pathologic characteristics of the primary tumor. Early stage melanoma is frequently curable, in contrast to the inferior prognosis of melanomas with regional lymph nodes involvement and the incurability of distant metastatic disease. The identification of novel tumor-specific markers may improve our understanding of melanoma progression and prognostic accuracy. To find differentially expressed genes that can distinguish melanoma from normal tissue, we performed a whole genome expression profiling of 46 primary melanoma samples, 12 regional or distant metastases, and 16 normal skin samples using Affymetrix U133 2.0 Plus array. Our study generated lists of differentially expressed genes in melanoma and identified novel prognostic marker HMGA2. It is a novel, highly overexpressed melanoma gene associated with poor prognosis. The overexpression of HMGA2 is strongly associated with regional and distant metastases and serves as an independent predictor of disease-free survival and overall survival in melanoma.
Organism Homo sapiens
Platform GPL570
Normalized False
Parsed SOFT file
Metadata
Differential expression method Characteristic Direction
Cutoff 500
Cell Skin
Perturbation Melanoma metastasis
Disease Melanoma
Visualizations
Principal Component Analysis
Hierarchical clustering
External Links and Downloads
Gene lists Enrichr L1000CDS2 PAEA
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Combined