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E-GEOD-40018 - Expression data from 34 Synovial Sarcomas

Status
Released on 9 August 2014, last updated on 16 August 2014
Organism
Homo sapiens
Samples (34)
Array (1)
Protocols (6)
Description
Background: Synovial sarcoma (SS) occur in children as well as in adults, although metastatic events are much more common in the latter. Whereas the importance of the t(X;18) translocation in SS oncogenesis is well established, the genetic basis of SS metastasis is still poorly understood. We recently reported expression (CINSARC) and genomic (GI) prognostic signatures related to chromosome integrity in sarcomas and gastrointestinal stromal tumors (GISTs). Here we investigate whether these signatures can also predict outcomes in SS. Methods: One hundred primary untreated SS were selected for expression and genomic profiling in a training/validation approach. Results: CINSARC and GI have strong, independent and validated prognostic values (p<0.0001). Comparing expression profiles of tumors with or without metastasis, 14 genes common with the CINSARC signature were identified and the two top-ranked genes, KIF14 and CDCA2, were validated as prognostic markers in an independent cohort. Comparing genomic profiles of adult vs. pediatric SS, we show that metastasis is associated with genome complexity in both situations and that the adult genome is more frequently rearranged. Accordingly, pediatric patients with an even genomic profile do not develop metastasis. Conclusions: Metastasis development in SS is strongly associated with chromosome complexity, and CINSARC and GI are validated independent prognostic factors. The differences in metastasis frequency between adults and children are associated with genome instability, which is much more frequent in adults. GI is potentially the best overall biomarker, and clearly the most clinically relevant, considering that genome profiling from formalin fixed samples is already used in pathology. 34 Synovial Sarcomas hybridized to Agilent-026652 Whole Human Genome Microarray 4x44K
Experiment type
transcription profiling by array 
Contacts
céline brulard <c.brulard@bordeaux.unicancer.fr>, Frederic Chibon, Maria Debiec-Rychter
MIAME
PlatformsProtocolsVariablesProcessedRaw
Files
Investigation descriptionE-GEOD-40018.idf.txt
Sample and data relationshipE-GEOD-40018.sdrf.txt
Raw data (1)E-GEOD-40018.raw.1.zip
Processed data (1)E-GEOD-40018.processed.1.zip
Array designA-GEOD-13497.adf.txt
Links