Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Dai, Zunyan, Papp, Audrey C, Wang, Danxin, Hampel, Heather, Sadee, Wolfgang
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
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
_version_ 1782156676630052864
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
work_keys_str_mv AT daizunyan genotypingpanelforassessingresponsetocancerchemotherapy
AT pappaudreyc genotypingpanelforassessingresponsetocancerchemotherapy
AT wangdanxin genotypingpanelforassessingresponsetocancerchemotherapy
AT hampelheather genotypingpanelforassessingresponsetocancerchemotherapy
AT sadeewolfgang genotypingpanelforassessingresponsetocancerchemotherapy