A novel time-course cDNA microarray analysis method identifies genes associated with the development of cisplatin resistance

Martin A. Whiteside, Dung Tsa Chen, Renee A. Desmond, Sarki A. Abdulkadir, Gary L. Johanning*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

34 Scopus citations

Abstract

In recent years, most cDNA microarray studies of chemotherapeutic drug resistance have not considered the temporal pattern of gene expression. The objective of this study was to examine systematically changes in gene expression of NCI-H226 and NCI-H2170 lung cancer cells treated weekly with IC10 doses of cisplatin. NCI-H226 lung cancer cells were treated weekly with an IC10 dose of cisplatin. Candidate genes with a fold change of 2.0 or more were identified from this study. A second experiment was conducted by exposing NCI-H2170 cells to cisplatin doses that were increased in week 4 and decreased in week 5. Overall, 44 genes were differentially expressed in both the NCI-H226 and NCI-H2170 cell lines. In the NCI-H2170 cell line, 24 genes had a twofold gene expression change from weeks 3 to 4. Real-time PCR found a significant correlation of the gene expression changes for seven genes of interest. This small time-ordered series identified novel genes associated with cisplatin resistance. This kind of analysis should be viewed as a first step towards building gene-regulatory networks.

Original languageEnglish (US)
Pages (from-to)744-752
Number of pages9
JournalOncogene
Volume23
Issue number3
DOIs
StatePublished - Jan 22 2004

Keywords

  • Drug resistance
  • Gene expression profiling
  • Lung cancer
  • Mechanisms of drug action

ASJC Scopus subject areas

  • Molecular Biology
  • Genetics
  • Cancer Research

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