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Immunohistochemistry for myc predicts survival in colorectal cancer.

Abstract
MYC over-expression as determined by molecular means has been reported as a favorable prognostic biomarker in colorectal carcinoma (CRC). However MYC expression analysis is not available in the routine clinical setting. We investigated whether immunohistochemistry (IHC) for the myc protein using a novel commercially available rabbit monoclonal antibody [clone Y69] which is currently in widespread clinical use for lymphoma diagnosis could be used to predict outcome in resected CRC. Myc IHC was performed on a tissue microarray (TMA) comprising a retrospective cohort of 1421 CRC patients and scored blinded as to all clinical and pathological data. IHC was also performed on a subcohort of whole section CRCs to assess staining characteristics and concordance with TMA expression. MYC over-expression was found in 980 (69%) of CRCs and was associated with tumor stage and DNA mismatch repair/BRAF status. There was substantial agreement between TMA and whole section myc IHC (kappa = 0.742, p<0.01). CRCs with MYC over-expression demonstrated improved 5-year survival (93.2% vs. 57.3%), with the effect significantly modulated by the dominant effect of tumor stage, age at diagnosis and lymphovascular space invasion status on survival. We conclude that myc status as determined by IHC alone can be used to predict overall survival in patients with CRC undergoing surgical resection.
AuthorsChristopher W Toon, Angela Chou, Adele Clarkson, Keshani DeSilva, Michelle Houang, Joseph C Y Chan, Loretta L Sioson, Lucy Jankova, Anthony J Gill
JournalPloS one (PLoS One) Vol. 9 Issue 2 Pg. e87456 ( 2014) ISSN: 1932-6203 [Electronic] United States
PMID24503701 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't)
Chemical References
  • Proto-Oncogene Proteins c-myc
Topics
  • Adolescent
  • Adult
  • Aged
  • Aged, 80 and over
  • Colorectal Neoplasms (metabolism, pathology)
  • Female
  • Humans
  • Immunohistochemistry
  • Logistic Models
  • Male
  • Middle Aged
  • Multivariate Analysis
  • Phenotype
  • Proportional Hazards Models
  • Proto-Oncogene Proteins c-myc (metabolism)
  • Survival Analysis
  • Tissue Array Analysis
  • Young Adult

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