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Pharmacogenomic identification of novel determinants of response to chemotherapy in colon cancer
John Boyer1, Wendy L Allen, Estelle G McLean
1Department of Oncology, Centre for Cancer Research and Cell Biology, Queen's University Belfast, Belfast, Northern Ireland.
Abstract:
DNA microarray analysis was used to analyze the transcriptional profile of HCT116 colorectal cancer cells that were treated with 5-fluorouracil (5-FU) or oxaliplatin and selected for resistance to these agents. Bioinformatic analyses identified sets of genes that were constitutively dysregulated in drug-resistant cells and transiently altered following acute exposure of parental cells to drug. We propose that these genes may represent molecular signatures of sensitivity to 5-FU and oxaliplatin. Using real-time reverse transcription-PCR (RT-PCR), the robustness of our microarray data was shown with a strong overall concordance of expression trends for > or =82% (oxaliplatin) and > or =85% (5-FU) of a representative subset of genes. Furthermore, strong correlations between the microarray and real-time RT-PCR measurements of average fold changes in gene expression were observed for both the 5-FU (R(2) > or = 0.73) and oxaliplatin gene sets (R(2) > or = 0.63). Functional analysis of three genes identified in the microarray study [prostate-derived factor (PDF), calretinin, and spermidine/spermine N(1)-acetyl transferase (SSAT)] revealed their importance as novel regulators of cytotoxic drug response. These data show the power of this novel microarray-based approach to identify genes which may be important markers of response to treatment and/or targets for therapeutic intervention.
Insights
This study identifies gene expression patterns in colorectal cancer cells resistant to 5-fluorouracil (5-FU) and oxaliplatin. These gene signatures may predict patient response to chemotherapy and serve as therapeutic targets.
Area of Science:
- Genomics
- Cancer Biology
- Pharmacogenomics
Background:
- Colorectal cancer (CRC) treatment often involves 5-fluorouracil (5-FU) and oxaliplatin.
- Acquired resistance to these chemotherapeutic agents is a significant clinical challenge.
- Identifying molecular markers of drug sensitivity and resistance is crucial for personalized CRC therapy.
Purpose of the Study:
- To identify gene expression signatures associated with 5-FU and oxaliplatin resistance in HCT116 colorectal cancer cells.
- To validate these signatures using quantitative real-time reverse transcription-PCR (RT-PCR).
- To explore the functional role of specific identified genes in drug response.
Main Methods:
- DNA microarray analysis to profile gene expression in drug-resistant and drug-sensitive HCT116 cells.
- Bioinformatic analysis to identify differentially expressed genes.
- Real-time RT-PCR to validate microarray findings.
- Functional analysis of selected genes (PDF, calretinin, SSAT).
Main Results:
- Identified distinct sets of genes constitutively dysregulated in drug-resistant cells and transiently altered upon acute drug exposure.
- Validated microarray data with high concordance for gene expression trends (>82% for oxaliplatin, >85% for 5-FU).
- Demonstrated strong correlations between microarray and RT-PCR measurements (R² > 0.63).
- Functional analysis confirmed prostate-derived factor (PDF), calretinin, and spermidine/spermine N(1)-acetyl transferase (SSAT) as novel regulators of cytotoxic drug response.
Conclusions:
- A novel microarray-based approach effectively identifies gene expression signatures related to drug response in colorectal cancer.
- These identified genes may serve as predictive biomarkers for 5-FU and oxaliplatin sensitivity.
- The findings highlight potential novel therapeutic targets for overcoming chemoresistance in CRC.
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