Cargando…
Integrating Cell-Based and Clinical Genome-Wide Studies to Identify Genetic Variants Contributing to Treatment Failure in Neuroblastoma Patients
High-risk neuroblastoma is an aggressive malignancy with high rates of treatment failure. We evaluated genetic variants associated with in vitro sensitivity to two derivatives of cyclophosphamide for association with clinical response in a separate replication cohort of neuroblastoma patients (n=2,7...
Autores principales: | , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4029857/ https://www.ncbi.nlm.nih.gov/pubmed/24549002 http://dx.doi.org/10.1038/clpt.2014.37 |
_version_ | 1782317291135827968 |
---|---|
author | Pinto, Navin Gamazon, Eric R. Antao, Nirav Myers, Jamie Stark, Amy L. Konkashbaev, Anuar Im, Hae Kyung Diskin, Sharon J. London, Wendy B. Ludeman, Susan M. Maris, John M. Cox, Nancy J. Cohn, Susan L. Dolan, M. Eileen |
author_facet | Pinto, Navin Gamazon, Eric R. Antao, Nirav Myers, Jamie Stark, Amy L. Konkashbaev, Anuar Im, Hae Kyung Diskin, Sharon J. London, Wendy B. Ludeman, Susan M. Maris, John M. Cox, Nancy J. Cohn, Susan L. Dolan, M. Eileen |
author_sort | Pinto, Navin |
collection | PubMed |
description | High-risk neuroblastoma is an aggressive malignancy with high rates of treatment failure. We evaluated genetic variants associated with in vitro sensitivity to two derivatives of cyclophosphamide for association with clinical response in a separate replication cohort of neuroblastoma patients (n=2,709). Lymphoblastoid cell lines (LCLs) were exposed to increasing concentrations of 4-hydroperoxycyclophosphamide [4HC n=422] and phosphoramide mustard [PM n=428] to determine sensitivity. Genome-wide association studies (GWAS) were performed to identify single nucleotide polymorphisms (SNPs) associated with 4HC and PM sensitivity. SNPs consistently associated with LCL sensitivity were analyzed for associations with event-free survival in patients. Two linked SNPs, rs9908694 and rs1453560, were found to be associated with PM sensitivity in LCLs across populations and were associated with event-free survival in all patients (P=0.01) and within the high-risk subset (P=0.05). Our study highlights the value of cell-based models to identify candidate variants that may predict response to treatment in patients with cancer. |
format | Online Article Text |
id | pubmed-4029857 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
record_format | MEDLINE/PubMed |
spelling | pubmed-40298572015-06-01 Integrating Cell-Based and Clinical Genome-Wide Studies to Identify Genetic Variants Contributing to Treatment Failure in Neuroblastoma Patients Pinto, Navin Gamazon, Eric R. Antao, Nirav Myers, Jamie Stark, Amy L. Konkashbaev, Anuar Im, Hae Kyung Diskin, Sharon J. London, Wendy B. Ludeman, Susan M. Maris, John M. Cox, Nancy J. Cohn, Susan L. Dolan, M. Eileen Clin Pharmacol Ther Article High-risk neuroblastoma is an aggressive malignancy with high rates of treatment failure. We evaluated genetic variants associated with in vitro sensitivity to two derivatives of cyclophosphamide for association with clinical response in a separate replication cohort of neuroblastoma patients (n=2,709). Lymphoblastoid cell lines (LCLs) were exposed to increasing concentrations of 4-hydroperoxycyclophosphamide [4HC n=422] and phosphoramide mustard [PM n=428] to determine sensitivity. Genome-wide association studies (GWAS) were performed to identify single nucleotide polymorphisms (SNPs) associated with 4HC and PM sensitivity. SNPs consistently associated with LCL sensitivity were analyzed for associations with event-free survival in patients. Two linked SNPs, rs9908694 and rs1453560, were found to be associated with PM sensitivity in LCLs across populations and were associated with event-free survival in all patients (P=0.01) and within the high-risk subset (P=0.05). Our study highlights the value of cell-based models to identify candidate variants that may predict response to treatment in patients with cancer. 2014-02-18 2014-06 /pmc/articles/PMC4029857/ /pubmed/24549002 http://dx.doi.org/10.1038/clpt.2014.37 Text en http://www.nature.com/authors/editorial_policies/license.html#terms Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms |
spellingShingle | Article Pinto, Navin Gamazon, Eric R. Antao, Nirav Myers, Jamie Stark, Amy L. Konkashbaev, Anuar Im, Hae Kyung Diskin, Sharon J. London, Wendy B. Ludeman, Susan M. Maris, John M. Cox, Nancy J. Cohn, Susan L. Dolan, M. Eileen Integrating Cell-Based and Clinical Genome-Wide Studies to Identify Genetic Variants Contributing to Treatment Failure in Neuroblastoma Patients |
title | Integrating Cell-Based and Clinical Genome-Wide Studies to Identify Genetic Variants Contributing to Treatment Failure in Neuroblastoma Patients |
title_full | Integrating Cell-Based and Clinical Genome-Wide Studies to Identify Genetic Variants Contributing to Treatment Failure in Neuroblastoma Patients |
title_fullStr | Integrating Cell-Based and Clinical Genome-Wide Studies to Identify Genetic Variants Contributing to Treatment Failure in Neuroblastoma Patients |
title_full_unstemmed | Integrating Cell-Based and Clinical Genome-Wide Studies to Identify Genetic Variants Contributing to Treatment Failure in Neuroblastoma Patients |
title_short | Integrating Cell-Based and Clinical Genome-Wide Studies to Identify Genetic Variants Contributing to Treatment Failure in Neuroblastoma Patients |
title_sort | integrating cell-based and clinical genome-wide studies to identify genetic variants contributing to treatment failure in neuroblastoma patients |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4029857/ https://www.ncbi.nlm.nih.gov/pubmed/24549002 http://dx.doi.org/10.1038/clpt.2014.37 |
work_keys_str_mv | AT pintonavin integratingcellbasedandclinicalgenomewidestudiestoidentifygeneticvariantscontributingtotreatmentfailureinneuroblastomapatients AT gamazonericr integratingcellbasedandclinicalgenomewidestudiestoidentifygeneticvariantscontributingtotreatmentfailureinneuroblastomapatients AT antaonirav integratingcellbasedandclinicalgenomewidestudiestoidentifygeneticvariantscontributingtotreatmentfailureinneuroblastomapatients AT myersjamie integratingcellbasedandclinicalgenomewidestudiestoidentifygeneticvariantscontributingtotreatmentfailureinneuroblastomapatients AT starkamyl integratingcellbasedandclinicalgenomewidestudiestoidentifygeneticvariantscontributingtotreatmentfailureinneuroblastomapatients AT konkashbaevanuar integratingcellbasedandclinicalgenomewidestudiestoidentifygeneticvariantscontributingtotreatmentfailureinneuroblastomapatients AT imhaekyung integratingcellbasedandclinicalgenomewidestudiestoidentifygeneticvariantscontributingtotreatmentfailureinneuroblastomapatients AT diskinsharonj integratingcellbasedandclinicalgenomewidestudiestoidentifygeneticvariantscontributingtotreatmentfailureinneuroblastomapatients AT londonwendyb integratingcellbasedandclinicalgenomewidestudiestoidentifygeneticvariantscontributingtotreatmentfailureinneuroblastomapatients AT ludemansusanm integratingcellbasedandclinicalgenomewidestudiestoidentifygeneticvariantscontributingtotreatmentfailureinneuroblastomapatients AT marisjohnm integratingcellbasedandclinicalgenomewidestudiestoidentifygeneticvariantscontributingtotreatmentfailureinneuroblastomapatients AT coxnancyj integratingcellbasedandclinicalgenomewidestudiestoidentifygeneticvariantscontributingtotreatmentfailureinneuroblastomapatients AT cohnsusanl integratingcellbasedandclinicalgenomewidestudiestoidentifygeneticvariantscontributingtotreatmentfailureinneuroblastomapatients AT dolanmeileen integratingcellbasedandclinicalgenomewidestudiestoidentifygeneticvariantscontributingtotreatmentfailureinneuroblastomapatients |