Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

CCSK

ABSTRACT: Clear cell sarcoma of the kidney (CCSK), the second most common renal tumor in children, poses significant diagnostic challenges. No diagnostic positive markers are available, and the pathogenesis of CCSK remains an enigma. To address these challenges, the gene expression patterns of fourteen CCSKs were compared to fifteen Wilms tumors (WT) and three fetal kidney samples using oligonucleotide arrays. Keywords: other. This dataset is part of the TransQST collection.

ORGANISM(S): Homo sapiens

SUBMITTER: Elizabeth Perlman

PROVIDER: E-GEOD-2712 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Clear cell sarcoma of the kidney: up-regulation of neural markers with activation of the sonic hedgehog and Akt pathways.

Cutcliffe Colleen C Kersey Donna D Huang Chiang-Ching CC Zeng Yong Y Walterhouse David D Perlman Elizabeth J EJ

Clinical cancer research : an official journal of the American Association for Cancer Research 20051101 22

<h4>Purpose and experimental design</h4>Clear cell sarcoma of the kidney (CCSK), the second most common renal tumor in children, poses significant diagnostic challenges. No positive diagnostic markers are available, and the pathogenesis of CCSK remains an enigma. To address these challenges, the gene expression patterns of 14 CCSKs were compared with 15 Wilms tumors and 3 fetal kidney samples using oligonucleotide arrays.<h4>Results</h4>Using unsupervised methods, the gene expression profile of ...[more]

PMID: 16299227

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Project description:In order to address the progression, metastasis, and clinical heterogeneity of renal cell cancer (RCC), transcriptional profiling with oligonucleotide microarrays (22,283 genes) was done on 49 RCC tumors, 20 non-RCC renal tumors, and 23 normal kidney samples. Samples were clustered based on gene expression profiles and specific gene sets for each renal tumor type were identified. Gene expression was correlated to disease progression and a metastasis gene signature was derived. Gene signatures were identified for each tumor type with 100% accuracy. Differentially expressed genes during early tumor formation and tumor progression to metastatic RCC were found. Subsets of these genes code for secreted proteins and membrane receptors and are both potential therapeutic or diagnostic targets. A gene pattern ("metastatic signature") derived from primary tumors was very accurate in classifying tumors with and without metastases at the time of surgery. A previously described "global" metastatic signature derived by another group from various non-RCC tumors was validated in RCC. Unlike previous studies, we describe highly accurate and externally validated gene signatures for RCC subtypes and other renal tumors. Interestingly, the gene expression of primary tumors provides us information about the metastatic status in the respective patients and has the potential, if prospectively validated, to enrich the armamentarium of diagnostic tests in RCC. We validated in RCC, for the first time, a previously described metastatic signature and further showed the feasibility of applying a gene signature across different microarray platforms. Transcriptional profiling allows a better appreciation of the molecular and clinical heterogeneity in RCC. We used the following tissue samples to obtain transcriptional profiling of kidney tumors using Affymetrix HGU-133A chips: 23 Normal, 32 clear cell RCC (cRCC), 11 papillary RCC (pRCC), 6 chromophobe RCC (chrRCC), 12 Oncocytoma (OC), and 8 transitional cell carcinoma (TCC). The supplementary file 'GSE15641_mas5_data.txt' contains MAS5 signal values for the Samples included in Series GSE15641. This dataset is part of the TransQST collection.

Dataset Information

CCSK

Publications

Clear cell sarcoma of the kidney: up-regulation of neural markers with activation of the sonic hedgehog and Akt pathways.

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