title: ISOLATE: a computational strategy for identifying the primary origin of cancers using high-throughput sequencing.
abstract: BACKGROUND
  One of the most deadly cancer diagnoses is the carcinoma of unknown primary origin. Without the knowledge of the site of origin, treatment regimens are limited in their specificity and result in high mortality rates. Though supervised classification methods have been developed to predict the site of origin based on gene expression data, they require large numbers of previously classified tumors for training, in part because they do not account for sample heterogeneity, which limits their application to well-studied cancers.
  
  
  RESULTS
  We present ISOLATE, a new statistical method that simultaneously predicts the primary site of origin of cancers and addresses sample heterogeneity, while taking advantage of new high-throughput sequencing technology that promises to bring higher accuracy and reproducibility to gene expression profiling experiments. ISOLATE makes predictions de novo, without having seen any training expression profiles of cancers with identified origin. Compared with previous methods, ISOLATE is able to predict the primary site of origin, de-convolve and remove the effect of sample heterogeneity and identify differentially expressed genes with higher accuracy, across both synthetic and clinical datasets. Methods such as ISOLATE are invaluable tools for clinicians faced with carcinomas of unknown primary origin.
  
  
  BACKGROUND
  ISOLATE is available for download at: http://morrislab.med.utoronto.ca/software
  
  
  BACKGROUND
  gerald.quon@utoronto.ca; quaid.morris@utoronto.ca
  
  
  BACKGROUND
  Supplementary data are available at Bioinformatics online.
authors: Department of Computer Science, University of Toronto, Toronto, Canada. gerald.quon@utoronto.ca
authors: Gerald
authors: G
authors: Quon
authors: Quaid
authors: Q
authors: Morris
mesh_terms: D019295:Computational Biology / Q000379:methods*; D020869:Gene Expression Profiling / Q000379:methods; D009369:Neoplasms / Q000235:genetics*; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D012984:Software