Skip to main navigation Skip to search Skip to main content

Functional classification analysis of somatically mutated genes in human breast and colorectal cancers

  • Thomas W. Chittenden
  • , Eleanor A. Howe
  • , Aedin C. Culhane
  • , Razvan Sultana
  • , Jennifer M. Taylor
  • , Chris Holmes
  • , John Quackenbush

Research output: Contribution to journalArticlepeer-review

Abstract

A recent study published by Sjoblom and colleagues [T. Sjoblom, S. Jones, L.D. Wood, D.W. Parsons, J. Lin, T.D. Barber, D. Mandelker, R.J. Leary, J. Ptak, N. Silliman, S. Szabo, P. Buckhaults, C. Farrell, P. Meeh, S.D. Markowitz, J. Willis, D. Dawson, J.K. Willson, A.F. Gazdar, J. Hartigan, L. Wu, C. Liu, G. Parmigiani, B.H. Park, K.E. Bachman, N. Papadopoulos, B. Vogelstein, K.W. Kinzler, V.E. Velculescu, The consensus coding sequences of human breast and colorectal cancers. Science 314 (2006) 268-274.] performed comprehensive sequencing of 13,023 human genes and identified mutations in genes specific to breast and colorectal tumors, providing insight into organ-specific tumor biology. Here we present a systematic analysis of the functional classifications of Sjoblom's "CAN" genes, a subset of these validated mutant genes, that identifies novel organ-specific biological themes and molecular pathways associated with disease-specific etiology. This analysis links four somatically mutated genes associated with diverse oncological types to colorectal and breast cancers through established TGF-β1-regulated interactions, revealing mechanistic differences in these cancers and providing potential diagnostic and therapeutic targets.

Original languageEnglish
Pages (from-to)508-511
Number of pages4
JournalGenomics
Volume91
Issue number6
DOIs
Publication statusPublished - Jun 2008
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Bioinformatics
  • Breast cancer
  • Colorectal cancer
  • Genomics

Fingerprint

Dive into the research topics of 'Functional classification analysis of somatically mutated genes in human breast and colorectal cancers'. Together they form a unique fingerprint.

Cite this