Similar studies for GEO DataSets (Select 4833) - GEO DataSets

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Items: 4

Select item 48331.

Cediranib effect on metastatic alveolar soft part sarcoma

Analysis of metastatic alveolar soft part sarcoma (ASPS) biopsies from patients treated with cediranib, a small-molecule inhibitor of vascular endothelial growth factor receptors. Results provide insight into molecular mechanisms underlying the substantial single-agent activity of cediranib on ASPS.

Organism:: Homo sapiens

Type:: Expression profiling by array, transformed count, 2 agent, 6 individual sets

Platform:: GPL570
Series:: GSE32569
12 Samples

Download data: CEL

DataSet

Accession:: GDS4833

ID:: 4833

PubMed Full text in PMC Similar studies GEO Profiles Analyze DataSet

Select item 2000325692.

Expression data for Cediranib in Metastatic ASPS

(Submitter supplied) Gene expression from pre- and post- Cediranib treated patients with metastatic Alveolar Soft Part Sarcoma (ASPS)

Organism:: Homo sapiens

Type:: Expression profiling by array

Dataset:: GDS4833
Platform:: GPL570
12 Samples

Download data: CEL

Series

Accession:: GSE32569

ID:: 200032569

PubMed Full text in PMC Similar studies Analyze with GEO2R

Select item 2000134333.

Gene Expression Profiling of Alveolar Soft-Part Sarcoma (ASPS)

(Submitter supplied) Alveolar soft-part sarcoma (ASPS) is an extremely rare, highly vascular soft tissue sarcoma affecting predominantly adolescents and young adults. In an attempt to gain insight into the pathobiology of this enigmatic tumor, we performed the first genome-wide gene expression profiling study.

Organism:: Homo sapiens

Type:: Expression profiling by array

Platform:: GPL570
16 Samples

Download data: CEL, CHP

Series

Accession:: GSE13433

ID:: 200013433

PubMed Full text in PMC Similar studies Analyze with GEO2R

Select item 2001504744.

Malignant melanotic Xp11 neoplasms exhibit a clinicopathological spectrum and gene expression profiling akin to alveolar soft part sarcoma: a proposal for reclassification

(Submitter supplied) We employed RNA sequencing-based clustering analysis to better understand the relationship of this unique entity to its closest histopathologic and immunophenotypic counterparts, including ASPS, conventional PEComa, and Xp11 translocation RCC