Customizing chemotherapy for colon cancer

The potential of gene expression profiling

John M. Mariadason, Diego Arango, Leonard H. Augenlicht

Research output: Contribution to journalArticle

16 Citations (Scopus)

Abstract

The value of gene expression profiling, or microarray analysis, for the classification and prognosis of multiple forms of cancer is now clearly established. For colon cancer, expression profiling can readily discriminate between normal and tumor tissue, and to some extent between tumors of different histopathological stage and prognosis. While a definitive in vivo study demonstrating the potential of this methodology for predicting response to chemotherapy is presently lacking, the ability of microarrays to distinguish other subtleties of colon cancer phenotype, as well as recent in vitro proof-of-principle experiments utilizing colon cancer cell lines, illustrate the potential of this methodology for predicting the probability of response to specific chemotherapeutic agents. This review discusses some of the recent advances in the use of microarray analysis for understanding and distinguishing colon cancer subtypes, and attempts to identify challenges that need to be overcome in order to achieve the goal of using gene expression profiling for customizing chemotherapy in colon cancer.

Original languageEnglish (US)
Pages (from-to)209-218
Number of pages10
JournalDrug Resistance Updates
Volume7
Issue number3
DOIs
StatePublished - Jun 2004

Fingerprint

Gene Expression Profiling
Colonic Neoplasms
Drug Therapy
Microarray Analysis
Neoplasms
Phenotype
Cell Line

Keywords

  • 5-FU
  • Colon cancer
  • Gene expression profiling
  • Microarray

ASJC Scopus subject areas

  • Cancer Research
  • Infectious Diseases
  • Oncology
  • Pharmaceutical Science

Cite this

Customizing chemotherapy for colon cancer : The potential of gene expression profiling. / Mariadason, John M.; Arango, Diego; Augenlicht, Leonard H.

In: Drug Resistance Updates, Vol. 7, No. 3, 06.2004, p. 209-218.

Research output: Contribution to journalArticle

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