Journal article
Discovery of genetic biomarkers contributing to variation in drug response of cytidine analogues using human lymphoblastoid cell lines
BMC genomics, Vol.15(1), 93
02/01/2014
DOI: 10.1186/1471-2164-15-93
PMCID: PMC3930546
PMID: 24483146
Abstract
Background
Two cytidine analogues, gemcitabine and cytosine arabinoside (AraC), are widely used in the treatment of a variety of cancers with a large individual variation in response. To identify potential genetic biomarkers associated with response to these two drugs, we used a human lymphoblastoid cell line (LCL) model system with extensive genomic data, including 1.3 million SNPs and 54,000 basal expression probesets to perform genome-wide association studies (GWAS) with gemcitabine and AraC IC50 values.
Results
We identified 11 and 27 SNP loci significantly associated with gemcitabine and AraC IC50 values, respectively. Eleven candidate genes were functionally validated using siRNA knockdown approach in multiple cancer cell lines. We also characterized the potential mechanisms of genes by determining their influence on the activity of 10 cancer-related signaling pathways using reporter gene assays. Most SNPs regulated gene expression in a trans manner, except 7 SNPs in the PIGB gene that were significantly associated with both the expression of PIGB and gemcitabine cytotoxicity.
Conclusion
These results suggest that genetic variation might contribute to drug response via either cis- or trans- regulation of gene expression. GWAS analysis followed by functional pharmacogenomics studies might help identify novel biomarkers contributing to variation in response to these two drugs and enhance our understanding of underlying mechanisms of drug action.
Details
- Title: Subtitle
- Discovery of genetic biomarkers contributing to variation in drug response of cytidine analogues using human lymphoblastoid cell lines
- Creators
- Liang Li - Mayo ClinicBrooke L Fridley - Mayo Clinic in FloridaKrishna Kalari - Mayo ClinicNifang Niu - Mayo ClinicGregory Jenkins - Mayo ClinicAnthony Batzler - Mayo ClinicRyan P Abo - Mayo ClinicDaniel Schaid - Mayo ClinicLiewei Wang - Mayo Clinic
- Resource Type
- Journal article
- Publication Details
- BMC genomics, Vol.15(1), 93
- Publisher
- BioMed Central
- DOI
- 10.1186/1471-2164-15-93
- PMID
- 24483146
- PMCID
- PMC3930546
- ISSN
- 1471-2164
- eISSN
- 1471-2164
- Number of pages
- 1
- Language
- English
- Date published
- 02/01/2014
- Academic Unit
- Stead Family Department of Pediatrics; Medical Genetics and Genomics
- Record Identifier
- 9984701546402771
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