{"classes":[{"categories":[{"measurements":[{"groupId":"OG000","value":"4"},{"groupId":"OG001","value":"15"}]}]}],"denoms":[{"counts":[{"groupId":"OG000","value":"7"},{"groupId":"OG001","value":"13"}],"units":"Participants"}],"description":"The resultant data will be a subset of the whole analysis population due to RNAseq data availability. It will be assessed for quality, normalized, and then analyzed for differential gene expression. The Nanostring software nSolver will be used to do quality control, background subtraction, normalization, and analysis of the differential expression for RNA-sequencing data. Lastly, bioinformatic analysis approaches will be used to help make sense of possible biological links between the genes found to be differentially expressed between the sample groups that may be of prognostic significance. 19 Genes with p-value less than 0.05 were reported by the level of gene expression.","groups":[{"description":"7 participants had RNAseq data among 8 participants with survival less than 2 years.","id":"OG000","title":"Survival Less Than 2 Years With Available RNAseq Data"},{"description":"13 participants had RNAseq data among 17 participants with survival more than or equal to 2 years.","id":"OG001","title":"Survival More Than or Equal to 2 Years With Available RNAseq Data"}],"paramType":"NUMBER","populationDescription":"RNAseq data were available from 20 participants among 25 participants.","reportingStatus":"POSTED","timeFrame":"baseline","title":"Differential Gene Expression Profile by RNA-Seq or GeneChip Assays","type":"PRIMARY","unitOfMeasure":"Number of overexpressed genes"}