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Genomic landscape analyses of reprogrammed cells using integrative and non-integrative methods reveal variable cancer-associated alterations

Recent development of cell reprogramming technologies brought a major hope for future cell therapy applications by the use of these cells or their derivatives. For this purpose, one of the major requirements is the absence of genomic alterations generating a risk of cell transformation. Here we anal...

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Autores principales: Griscelli, Frank, Desterke, Christophe, Feraud, Olivier, Divers, Dominique, Oudrhiri, Noufissa, Tosca, Lucie, Turhan, Ali G., Bennaceur-Griscelli, Annelise
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6505633/
https://www.ncbi.nlm.nih.gov/pubmed/31105870
http://dx.doi.org/10.18632/oncotarget.26857
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author Griscelli, Frank
Desterke, Christophe
Feraud, Olivier
Divers, Dominique
Oudrhiri, Noufissa
Tosca, Lucie
Turhan, Ali G.
Bennaceur-Griscelli, Annelise
author_facet Griscelli, Frank
Desterke, Christophe
Feraud, Olivier
Divers, Dominique
Oudrhiri, Noufissa
Tosca, Lucie
Turhan, Ali G.
Bennaceur-Griscelli, Annelise
author_sort Griscelli, Frank
collection PubMed
description Recent development of cell reprogramming technologies brought a major hope for future cell therapy applications by the use of these cells or their derivatives. For this purpose, one of the major requirements is the absence of genomic alterations generating a risk of cell transformation. Here we analyzed by microarray-based comparative genomic hybridization human iPSC generated by two non-integrative and one integrative method at pluripotent stage as well as in corresponding teratomas. We show that all iPSC lines exhibit copy number variations (CNV) of several genes deregulated in oncogenesis. These cancer-associated genomic alterations were more pronounced in virally programmed hiPSCs and their derivative teratoma as compared to those found in iPSC generated by mRNA-mediated reprogramming. Bioinformatics analysis showed the involvement of these genes in human leukemia and carcinoma. We conclude that genetic screening should become a standard procedure to ensure that hiPSCs are free from cancer-associated genomic alterations before clinical use.
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spelling pubmed-65056332019-05-17 Genomic landscape analyses of reprogrammed cells using integrative and non-integrative methods reveal variable cancer-associated alterations Griscelli, Frank Desterke, Christophe Feraud, Olivier Divers, Dominique Oudrhiri, Noufissa Tosca, Lucie Turhan, Ali G. Bennaceur-Griscelli, Annelise Oncotarget Research Paper Recent development of cell reprogramming technologies brought a major hope for future cell therapy applications by the use of these cells or their derivatives. For this purpose, one of the major requirements is the absence of genomic alterations generating a risk of cell transformation. Here we analyzed by microarray-based comparative genomic hybridization human iPSC generated by two non-integrative and one integrative method at pluripotent stage as well as in corresponding teratomas. We show that all iPSC lines exhibit copy number variations (CNV) of several genes deregulated in oncogenesis. These cancer-associated genomic alterations were more pronounced in virally programmed hiPSCs and their derivative teratoma as compared to those found in iPSC generated by mRNA-mediated reprogramming. Bioinformatics analysis showed the involvement of these genes in human leukemia and carcinoma. We conclude that genetic screening should become a standard procedure to ensure that hiPSCs are free from cancer-associated genomic alterations before clinical use. Impact Journals LLC 2019-04-12 /pmc/articles/PMC6505633/ /pubmed/31105870 http://dx.doi.org/10.18632/oncotarget.26857 Text en Copyright: © 2019 Griscelli et al. http://creativecommons.org/licenses/by/3.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) (CC-BY), which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Research Paper
Griscelli, Frank
Desterke, Christophe
Feraud, Olivier
Divers, Dominique
Oudrhiri, Noufissa
Tosca, Lucie
Turhan, Ali G.
Bennaceur-Griscelli, Annelise
Genomic landscape analyses of reprogrammed cells using integrative and non-integrative methods reveal variable cancer-associated alterations
title Genomic landscape analyses of reprogrammed cells using integrative and non-integrative methods reveal variable cancer-associated alterations
title_full Genomic landscape analyses of reprogrammed cells using integrative and non-integrative methods reveal variable cancer-associated alterations
title_fullStr Genomic landscape analyses of reprogrammed cells using integrative and non-integrative methods reveal variable cancer-associated alterations
title_full_unstemmed Genomic landscape analyses of reprogrammed cells using integrative and non-integrative methods reveal variable cancer-associated alterations
title_short Genomic landscape analyses of reprogrammed cells using integrative and non-integrative methods reveal variable cancer-associated alterations
title_sort genomic landscape analyses of reprogrammed cells using integrative and non-integrative methods reveal variable cancer-associated alterations
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6505633/
https://www.ncbi.nlm.nih.gov/pubmed/31105870
http://dx.doi.org/10.18632/oncotarget.26857
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