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Genotyping panel for assessing response to cancer chemotherapy
BACKGROUND: Variants in numerous genes are thought to affect the success or failure of cancer chemotherapy. Interindividual variability can result from genes involved in drug metabolism and transport, drug targets (receptors, enzymes, etc), and proteins relevant to cell survival (e.g., cell cycle, D...
Autores principales: | , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2442111/ https://www.ncbi.nlm.nih.gov/pubmed/18547414 http://dx.doi.org/10.1186/1755-8794-1-24 |
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author | Dai, Zunyan Papp, Audrey C Wang, Danxin Hampel, Heather Sadee, Wolfgang |
author_facet | Dai, Zunyan Papp, Audrey C Wang, Danxin Hampel, Heather Sadee, Wolfgang |
author_sort | Dai, Zunyan |
collection | PubMed |
description | BACKGROUND: Variants in numerous genes are thought to affect the success or failure of cancer chemotherapy. Interindividual variability can result from genes involved in drug metabolism and transport, drug targets (receptors, enzymes, etc), and proteins relevant to cell survival (e.g., cell cycle, DNA repair, and apoptosis). The purpose of the current study is to establish a flexible, cost-effective, high-throughput genotyping platform for candidate genes involved in chemoresistance and -sensitivity, and treatment outcomes. METHODS: We have adopted SNPlex for genotyping 432 single nucleotide polymorphisms (SNPs) in 160 candidate genes implicated in response to anticancer chemotherapy. RESULTS: The genotyping panels were applied to 39 patients with chronic lymphocytic leukemia undergoing flavopiridol chemotherapy, and 90 patients with colorectal cancer. 408 SNPs (94%) produced successful genotyping results. Additional genotyping methods were established for polymorphisms undetectable by SNPlex, including multiplexed SNaPshot for CYP2D6 SNPs, and PCR amplification with fluorescently labeled primers for the UGT1A1 promoter (TA)nTAA repeat polymorphism. CONCLUSION: This genotyping panel is useful for supporting clinical anticancer drug trials to identify polymorphisms that contribute to interindividual variability in drug response. Availability of population genetic data across multiple studies has the potential to yield genetic biomarkers for optimizing anticancer therapy. |
format | Text |
id | pubmed-2442111 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-24421112008-07-01 Genotyping panel for assessing response to cancer chemotherapy Dai, Zunyan Papp, Audrey C Wang, Danxin Hampel, Heather Sadee, Wolfgang BMC Med Genomics Technical Advance BACKGROUND: Variants in numerous genes are thought to affect the success or failure of cancer chemotherapy. Interindividual variability can result from genes involved in drug metabolism and transport, drug targets (receptors, enzymes, etc), and proteins relevant to cell survival (e.g., cell cycle, DNA repair, and apoptosis). The purpose of the current study is to establish a flexible, cost-effective, high-throughput genotyping platform for candidate genes involved in chemoresistance and -sensitivity, and treatment outcomes. METHODS: We have adopted SNPlex for genotyping 432 single nucleotide polymorphisms (SNPs) in 160 candidate genes implicated in response to anticancer chemotherapy. RESULTS: The genotyping panels were applied to 39 patients with chronic lymphocytic leukemia undergoing flavopiridol chemotherapy, and 90 patients with colorectal cancer. 408 SNPs (94%) produced successful genotyping results. Additional genotyping methods were established for polymorphisms undetectable by SNPlex, including multiplexed SNaPshot for CYP2D6 SNPs, and PCR amplification with fluorescently labeled primers for the UGT1A1 promoter (TA)nTAA repeat polymorphism. CONCLUSION: This genotyping panel is useful for supporting clinical anticancer drug trials to identify polymorphisms that contribute to interindividual variability in drug response. Availability of population genetic data across multiple studies has the potential to yield genetic biomarkers for optimizing anticancer therapy. BioMed Central 2008-06-11 /pmc/articles/PMC2442111/ /pubmed/18547414 http://dx.doi.org/10.1186/1755-8794-1-24 Text en Copyright © 2008 Dai 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 | Technical Advance Dai, Zunyan Papp, Audrey C Wang, Danxin Hampel, Heather Sadee, Wolfgang Genotyping panel for assessing response to cancer chemotherapy |
title | Genotyping panel for assessing response to cancer chemotherapy |
title_full | Genotyping panel for assessing response to cancer chemotherapy |
title_fullStr | Genotyping panel for assessing response to cancer chemotherapy |
title_full_unstemmed | Genotyping panel for assessing response to cancer chemotherapy |
title_short | Genotyping panel for assessing response to cancer chemotherapy |
title_sort | genotyping panel for assessing response to cancer chemotherapy |
topic | Technical Advance |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2442111/ https://www.ncbi.nlm.nih.gov/pubmed/18547414 http://dx.doi.org/10.1186/1755-8794-1-24 |
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