UNASSIGNED: @entity2971 ( @entity2971 ) have a high cure rate, but we currently lack the ability to accurately identify the small subset of @entity1 who will die from their disease. We used a combined genomic and expression profiling approach to identify genomic regions and underlying genes that are predictive of outcome in @entity2971 @entity1 . We performed array-based comparative genomic hybridization (CGH) on 53 non-seminomatous GCTs (NSGCTs) treated with @entity900 based chemotherapy and defined altered genomic regions using Circular Binary Segmentation. We identified 14 regions associated with two year disease-free survival (2yDFS) and 16 regions associated with five year disease-specific survival (5yDSS). From corresponding expression data, we identified 101 probe sets that showed significant changes in expression. We built several models based on these differentially expressed genes, then tested them in an independent validation set of 54 NSGCTs. These predictive models correctly classified outcome in 64-79.6% of @entity1 in the validation set, depending on the endpoint utilized. Survival analysis demonstrated a significant separation of @entity1 with good versus poor predicted outcome when using a combined gene set model. Multivariate analysis using clinical risk classification with the combined gene model indicated that they were independent prognostic markers. This novel set of predictive genes from altered genomic regions is almost entirely independent of our previously identified set of predictive genes for @entity1 with NSGCTs. These genes may aid in the identification of the small subset of @entity1 who are at high risk of poor outcome.

Development and Validation of a Gene-Based Model for Outcome Prediction in XXXX Using a Combined Genomic and Expression Profiling Approach.

@entity1 :: ('9606', 'Species') :: ['patients'] @entity900 :: ('MESH:D002945', 'Chemical') :: ['cisplatin'] @entity2971 :: ('MESH:D009373', 'Disease') :: ['GCT', 'Germ Cell Tumors']
@entity2971 :: (MESH:D009373,Disease) :: ['Germ Cell Tumors']
