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Strong concordance between RNA structural and single nucleotide variants identified via next generation sequencing techniques in primary pediatric leukemia and patient-derived xenograft samples
Acute leukemia represents the most common pediatric malignancy comprising diverse subtypes with varying prognosis and treatment outcomes. New and targeted treatment options are warranted for this disease. Patient-derived xenograft (PDX) models are increasingly being used for preclinical testing of n...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korea Genome Organization
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7120351/ https://www.ncbi.nlm.nih.gov/pubmed/32224839 http://dx.doi.org/10.5808/GI.2020.18.1.e6 |
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author | Barwe, Sonali P. Gopalakrisnapillai, Anilkumar Mahajan, Nitin Druley, Todd E. Kolb, E. Anders Crowgey, Erin L. |
author_facet | Barwe, Sonali P. Gopalakrisnapillai, Anilkumar Mahajan, Nitin Druley, Todd E. Kolb, E. Anders Crowgey, Erin L. |
author_sort | Barwe, Sonali P. |
collection | PubMed |
description | Acute leukemia represents the most common pediatric malignancy comprising diverse subtypes with varying prognosis and treatment outcomes. New and targeted treatment options are warranted for this disease. Patient-derived xenograft (PDX) models are increasingly being used for preclinical testing of novel treatment modalities. A novel approach involving targeted error-corrected RNA sequencing using ArcherDX HemeV2 kit was employed to compare 25 primary pediatric acute leukemia samples and their corresponding PDX samples. A comparison of the primary samples and PDX samples revealed a high concordance between single nucleotide variants and gene fusions whereas other complex structural variants were not as consistent. The presence of gene fusions representing the major driver mutations at similar allelic frequencies in PDX samples compared to primary samples and over multiple passages confirms the utility of PDX models for preclinical drug testing. Characterization and tracking of these novel cryptic fusions and exonal variants in PDX models is critical in assessing response to potential new therapies. |
format | Online Article Text |
id | pubmed-7120351 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Korea Genome Organization |
record_format | MEDLINE/PubMed |
spelling | pubmed-71203512020-04-09 Strong concordance between RNA structural and single nucleotide variants identified via next generation sequencing techniques in primary pediatric leukemia and patient-derived xenograft samples Barwe, Sonali P. Gopalakrisnapillai, Anilkumar Mahajan, Nitin Druley, Todd E. Kolb, E. Anders Crowgey, Erin L. Genomics Inform Original Article Acute leukemia represents the most common pediatric malignancy comprising diverse subtypes with varying prognosis and treatment outcomes. New and targeted treatment options are warranted for this disease. Patient-derived xenograft (PDX) models are increasingly being used for preclinical testing of novel treatment modalities. A novel approach involving targeted error-corrected RNA sequencing using ArcherDX HemeV2 kit was employed to compare 25 primary pediatric acute leukemia samples and their corresponding PDX samples. A comparison of the primary samples and PDX samples revealed a high concordance between single nucleotide variants and gene fusions whereas other complex structural variants were not as consistent. The presence of gene fusions representing the major driver mutations at similar allelic frequencies in PDX samples compared to primary samples and over multiple passages confirms the utility of PDX models for preclinical drug testing. Characterization and tracking of these novel cryptic fusions and exonal variants in PDX models is critical in assessing response to potential new therapies. Korea Genome Organization 2020-03-31 /pmc/articles/PMC7120351/ /pubmed/32224839 http://dx.doi.org/10.5808/GI.2020.18.1.e6 Text en (c) 2020, Korea Genome Organization (CC) This is an open-access article distributed under the terms of the Creative Commons Attribution license(https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Barwe, Sonali P. Gopalakrisnapillai, Anilkumar Mahajan, Nitin Druley, Todd E. Kolb, E. Anders Crowgey, Erin L. Strong concordance between RNA structural and single nucleotide variants identified via next generation sequencing techniques in primary pediatric leukemia and patient-derived xenograft samples |
title | Strong concordance between RNA structural and single nucleotide variants identified via next generation sequencing techniques in primary pediatric leukemia and patient-derived xenograft samples |
title_full | Strong concordance between RNA structural and single nucleotide variants identified via next generation sequencing techniques in primary pediatric leukemia and patient-derived xenograft samples |
title_fullStr | Strong concordance between RNA structural and single nucleotide variants identified via next generation sequencing techniques in primary pediatric leukemia and patient-derived xenograft samples |
title_full_unstemmed | Strong concordance between RNA structural and single nucleotide variants identified via next generation sequencing techniques in primary pediatric leukemia and patient-derived xenograft samples |
title_short | Strong concordance between RNA structural and single nucleotide variants identified via next generation sequencing techniques in primary pediatric leukemia and patient-derived xenograft samples |
title_sort | strong concordance between rna structural and single nucleotide variants identified via next generation sequencing techniques in primary pediatric leukemia and patient-derived xenograft samples |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7120351/ https://www.ncbi.nlm.nih.gov/pubmed/32224839 http://dx.doi.org/10.5808/GI.2020.18.1.e6 |
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