Cargando…

Gemcitabine and Arabinosylcytosin Pharmacogenomics: Genome-Wide Association and Drug Response Biomarkers

Cancer patients show large individual variation in their response to chemotherapeutic agents. Gemcitabine (dFdC) and AraC, two cytidine analogues, have shown significant activity against a variety of tumors. We previously used expression data from a lymphoblastoid cell line-based model system to ide...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Liang, Fridley, Brooke L., Kalari, Krishna, Jenkins, Gregory, Batzler, Anthony, Weinshilboum, Richard M., Wang, Liewei
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2770319/
https://www.ncbi.nlm.nih.gov/pubmed/19898621
http://dx.doi.org/10.1371/journal.pone.0007765
_version_ 1782173640985411584
author Li, Liang
Fridley, Brooke L.
Kalari, Krishna
Jenkins, Gregory
Batzler, Anthony
Weinshilboum, Richard M.
Wang, Liewei
author_facet Li, Liang
Fridley, Brooke L.
Kalari, Krishna
Jenkins, Gregory
Batzler, Anthony
Weinshilboum, Richard M.
Wang, Liewei
author_sort Li, Liang
collection PubMed
description Cancer patients show large individual variation in their response to chemotherapeutic agents. Gemcitabine (dFdC) and AraC, two cytidine analogues, have shown significant activity against a variety of tumors. We previously used expression data from a lymphoblastoid cell line-based model system to identify genes that might be important for the two drug cytotoxicity. In the present study, we used that same model system to perform a genome-wide association (GWA) study to test the hypothesis that common genetic variation might influence both gene expression and response to the two drugs. Specifically, genome-wide single nucleotide polymorphisms (SNPs) and mRNA expression data were obtained using the Illumina 550K® HumanHap550 SNP Chip and Affymetrix U133 Plus 2.0 GeneChip, respectively, for 174 ethnically-defined “Human Variation Panel” lymphoblastoid cell lines. Gemcitabine and AraC cytotoxicity assays were performed to obtain IC(50) values for the cell lines. We then performed GWA studies with SNPs, gene expression and IC(50) of these two drugs. This approach identified SNPs that were associated with gemcitabine or AraC IC(50) values and with the expression regulation for 29 genes or 30 genes, respectively. One SNP in IQGAP2 (rs3797418) was significantly associated with variation in both the expression of multiple genes and gemcitabine and AraC IC(50). A second SNP in TGM3 (rs6082527) was also significantly associated with multiple gene expression and gemcitabine IC50. To confirm the association results, we performed siRNA knock down of selected genes with expression that was associated with rs3797418 and rs6082527 in tumor cell and the knock down altered gemcitabine or AraC sensitivity, confirming our association study results. These results suggest that the application of GWA approaches using cell-based model systems, when combined with complementary functional validation, can provide insights into mechanisms responsible for variation in cytidine analogue response.
format Text
id pubmed-2770319
institution National Center for Biotechnology Information
language English
publishDate 2009
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-27703192009-11-09 Gemcitabine and Arabinosylcytosin Pharmacogenomics: Genome-Wide Association and Drug Response Biomarkers Li, Liang Fridley, Brooke L. Kalari, Krishna Jenkins, Gregory Batzler, Anthony Weinshilboum, Richard M. Wang, Liewei PLoS One Research Article Cancer patients show large individual variation in their response to chemotherapeutic agents. Gemcitabine (dFdC) and AraC, two cytidine analogues, have shown significant activity against a variety of tumors. We previously used expression data from a lymphoblastoid cell line-based model system to identify genes that might be important for the two drug cytotoxicity. In the present study, we used that same model system to perform a genome-wide association (GWA) study to test the hypothesis that common genetic variation might influence both gene expression and response to the two drugs. Specifically, genome-wide single nucleotide polymorphisms (SNPs) and mRNA expression data were obtained using the Illumina 550K® HumanHap550 SNP Chip and Affymetrix U133 Plus 2.0 GeneChip, respectively, for 174 ethnically-defined “Human Variation Panel” lymphoblastoid cell lines. Gemcitabine and AraC cytotoxicity assays were performed to obtain IC(50) values for the cell lines. We then performed GWA studies with SNPs, gene expression and IC(50) of these two drugs. This approach identified SNPs that were associated with gemcitabine or AraC IC(50) values and with the expression regulation for 29 genes or 30 genes, respectively. One SNP in IQGAP2 (rs3797418) was significantly associated with variation in both the expression of multiple genes and gemcitabine and AraC IC(50). A second SNP in TGM3 (rs6082527) was also significantly associated with multiple gene expression and gemcitabine IC50. To confirm the association results, we performed siRNA knock down of selected genes with expression that was associated with rs3797418 and rs6082527 in tumor cell and the knock down altered gemcitabine or AraC sensitivity, confirming our association study results. These results suggest that the application of GWA approaches using cell-based model systems, when combined with complementary functional validation, can provide insights into mechanisms responsible for variation in cytidine analogue response. Public Library of Science 2009-11-09 /pmc/articles/PMC2770319/ /pubmed/19898621 http://dx.doi.org/10.1371/journal.pone.0007765 Text en Li et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Li, Liang
Fridley, Brooke L.
Kalari, Krishna
Jenkins, Gregory
Batzler, Anthony
Weinshilboum, Richard M.
Wang, Liewei
Gemcitabine and Arabinosylcytosin Pharmacogenomics: Genome-Wide Association and Drug Response Biomarkers
title Gemcitabine and Arabinosylcytosin Pharmacogenomics: Genome-Wide Association and Drug Response Biomarkers
title_full Gemcitabine and Arabinosylcytosin Pharmacogenomics: Genome-Wide Association and Drug Response Biomarkers
title_fullStr Gemcitabine and Arabinosylcytosin Pharmacogenomics: Genome-Wide Association and Drug Response Biomarkers
title_full_unstemmed Gemcitabine and Arabinosylcytosin Pharmacogenomics: Genome-Wide Association and Drug Response Biomarkers
title_short Gemcitabine and Arabinosylcytosin Pharmacogenomics: Genome-Wide Association and Drug Response Biomarkers
title_sort gemcitabine and arabinosylcytosin pharmacogenomics: genome-wide association and drug response biomarkers
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2770319/
https://www.ncbi.nlm.nih.gov/pubmed/19898621
http://dx.doi.org/10.1371/journal.pone.0007765
work_keys_str_mv AT liliang gemcitabineandarabinosylcytosinpharmacogenomicsgenomewideassociationanddrugresponsebiomarkers
AT fridleybrookel gemcitabineandarabinosylcytosinpharmacogenomicsgenomewideassociationanddrugresponsebiomarkers
AT kalarikrishna gemcitabineandarabinosylcytosinpharmacogenomicsgenomewideassociationanddrugresponsebiomarkers
AT jenkinsgregory gemcitabineandarabinosylcytosinpharmacogenomicsgenomewideassociationanddrugresponsebiomarkers
AT batzleranthony gemcitabineandarabinosylcytosinpharmacogenomicsgenomewideassociationanddrugresponsebiomarkers
AT weinshilboumrichardm gemcitabineandarabinosylcytosinpharmacogenomicsgenomewideassociationanddrugresponsebiomarkers
AT wangliewei gemcitabineandarabinosylcytosinpharmacogenomicsgenomewideassociationanddrugresponsebiomarkers