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Discovery of genetic biomarkers contributing to variation in drug response of cytidine analogues using human lymphoblastoid cell lines

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 lymphoblastoi...

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Autores principales: Li, Liang, Fridley, Brooke L, Kalari, Krishna, Niu, Nifang, Jenkins, Gregory, Batzler, Anthony, Abo, Ryan P, Schaid, Daniel, Wang, Liewei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3930546/
https://www.ncbi.nlm.nih.gov/pubmed/24483146
http://dx.doi.org/10.1186/1471-2164-15-93
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author Li, Liang
Fridley, Brooke L
Kalari, Krishna
Niu, Nifang
Jenkins, Gregory
Batzler, Anthony
Abo, Ryan P
Schaid, Daniel
Wang, Liewei
author_facet Li, Liang
Fridley, Brooke L
Kalari, Krishna
Niu, Nifang
Jenkins, Gregory
Batzler, Anthony
Abo, Ryan P
Schaid, Daniel
Wang, Liewei
author_sort Li, Liang
collection PubMed
description 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.
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spelling pubmed-39305462014-02-21 Discovery of genetic biomarkers contributing to variation in drug response of cytidine analogues using human lymphoblastoid cell lines Li, Liang Fridley, Brooke L Kalari, Krishna Niu, Nifang Jenkins, Gregory Batzler, Anthony Abo, Ryan P Schaid, Daniel Wang, Liewei BMC Genomics Research Article 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. BioMed Central 2014-02-01 /pmc/articles/PMC3930546/ /pubmed/24483146 http://dx.doi.org/10.1186/1471-2164-15-93 Text en Copyright © 2014 Li et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Li, Liang
Fridley, Brooke L
Kalari, Krishna
Niu, Nifang
Jenkins, Gregory
Batzler, Anthony
Abo, Ryan P
Schaid, Daniel
Wang, Liewei
Discovery of genetic biomarkers contributing to variation in drug response of cytidine analogues using human lymphoblastoid cell lines
title Discovery of genetic biomarkers contributing to variation in drug response of cytidine analogues using human lymphoblastoid cell lines
title_full Discovery of genetic biomarkers contributing to variation in drug response of cytidine analogues using human lymphoblastoid cell lines
title_fullStr Discovery of genetic biomarkers contributing to variation in drug response of cytidine analogues using human lymphoblastoid cell lines
title_full_unstemmed Discovery of genetic biomarkers contributing to variation in drug response of cytidine analogues using human lymphoblastoid cell lines
title_short Discovery of genetic biomarkers contributing to variation in drug response of cytidine analogues using human lymphoblastoid cell lines
title_sort discovery of genetic biomarkers contributing to variation in drug response of cytidine analogues using human lymphoblastoid cell lines
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3930546/
https://www.ncbi.nlm.nih.gov/pubmed/24483146
http://dx.doi.org/10.1186/1471-2164-15-93
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