Transcriptional profiles underpin microsatellite status and associated features in colon cancer

John Hogan, Kathryn DeJulius, Xiuli Liu, John C. Coffey, Matthew F. Kalady

Research output: Contribution to journalArticlepeer-review

3 Scopus citations


Introduction: While microsatellite instability is associated with prognosis and distinct clinical phenotypes in colon cancer, the basis for this remains incompletely defined. Novel bioinformatic techniques enable a detailed interrogation of the relationship between gene expression profiles and tumor characteristics. Aim: We aimed to determine if microsatellite instability high (MSI-H) and microsatellite stable (MSS) tumors could be differentiated by gene expression profiles. We investigated the basis of this using a system and network based algorithmic approach. Methods: Microsatellite status was established using a polymerase chain reaction (PCR) panel and fragment length analysis. Gene expression was determined using Illumina

Original languageEnglish
Pages (from-to)36-43
Number of pages8
Issue number1
StatePublished - Oct 1 2015


  • Colon cancer
  • Gene expression microarray
  • Microsatellite instability
  • Network analysis


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