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Clinical Utility of Optical Genome Mapping and 523-Gene Next Generation Sequencing Panel for Comprehensive Evaluation of Myeloid Cancers

SIMPLE SUMMARY: The current standard-of-care (SOC) genetic testing of myeloid cancers in limited by resolution and/or is targeted to investigate limited regions/genes in the genome. As a result, these genomes remain poorly characterized and warrant further investigation using emerging technologies....

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Autores principales: Sahajpal, Nikhil Shri, Mondal, Ashis K., Singh, Harmanpreet, Vashisht, Ashutosh, Ananth, Sudha, Saul, Daniel, Hastie, Alex R., Hilton, Benjamin, DuPont, Barbara R., Savage, Natasha M., Kota, Vamsi, Chaubey, Alka, Cortes, Jorge E., Kolhe, Ravindra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10296552/
https://www.ncbi.nlm.nih.gov/pubmed/37370824
http://dx.doi.org/10.3390/cancers15123214
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author Sahajpal, Nikhil Shri
Mondal, Ashis K.
Singh, Harmanpreet
Vashisht, Ashutosh
Ananth, Sudha
Saul, Daniel
Hastie, Alex R.
Hilton, Benjamin
DuPont, Barbara R.
Savage, Natasha M.
Kota, Vamsi
Chaubey, Alka
Cortes, Jorge E.
Kolhe, Ravindra
author_facet Sahajpal, Nikhil Shri
Mondal, Ashis K.
Singh, Harmanpreet
Vashisht, Ashutosh
Ananth, Sudha
Saul, Daniel
Hastie, Alex R.
Hilton, Benjamin
DuPont, Barbara R.
Savage, Natasha M.
Kota, Vamsi
Chaubey, Alka
Cortes, Jorge E.
Kolhe, Ravindra
author_sort Sahajpal, Nikhil Shri
collection PubMed
description SIMPLE SUMMARY: The current standard-of-care (SOC) genetic testing of myeloid cancers in limited by resolution and/or is targeted to investigate limited regions/genes in the genome. As a result, these genomes remain poorly characterized and warrant further investigation using emerging technologies. In this study, we have utilized a novel approach of combining a high-resolution cytogenetic technology with next-generation sequencing to obtain a comprehensive genomic profile of these tumors. This approach identified genetic alterations in previously negative cases and identified clinically relevant alteration in additional cases. This combinatorial approach has the potential to replace the current SOC workflow. ABSTRACT: The standard-of-care (SOC) for genomic testing of myeloid cancers primarily relies on karyotyping/fluorescent in situ hybridization (FISH) (cytogenetic analysis) and targeted gene panels (usually ≤54 genes) that harbor hotspot pathogenic variants (molecular genetic analysis). Despite this combinatorial approach, ~50% of myeloid cancer genomes remain cytogenetically normal, and the limited sequencing variant profiles obtained from targeted panels are unable to resolve the molecular etiology of many myeloid tumors. In this study, we evaluated the performance and clinical utility of combinatorial use of optical genome mapping (OGM) and a 523-gene next-generation sequencing (NGS) panel for comprehensive genomic profiling of 30 myeloid tumors and compared it to SOC cytogenetic methods (karyotyping and FISH) and a 54-gene NGS panel. OGM and the 523-gene NGS panel had an analytical concordance of 100% with karyotyping, FISH, and the 54-gene panel, respectively. Importantly, the IPSS-R cytogenetic risk group changed from very good/good to very poor in 22% of MDS (2/9) cases based on comprehensive profiling (karyotyping, FISH, and 54-gene panel vs. OGM and 523-gene panel), while additionally identifying six compound heterozygous events of potential clinical relevance in six cases (6/30, 20%). This cost-effective approach of using OGM and a 523-gene NGS panel for comprehensive genomic profiling of myeloid cancers demonstrated increased yield of actionable targets that can potentially result in improved clinical outcomes.
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spelling pubmed-102965522023-06-28 Clinical Utility of Optical Genome Mapping and 523-Gene Next Generation Sequencing Panel for Comprehensive Evaluation of Myeloid Cancers Sahajpal, Nikhil Shri Mondal, Ashis K. Singh, Harmanpreet Vashisht, Ashutosh Ananth, Sudha Saul, Daniel Hastie, Alex R. Hilton, Benjamin DuPont, Barbara R. Savage, Natasha M. Kota, Vamsi Chaubey, Alka Cortes, Jorge E. Kolhe, Ravindra Cancers (Basel) Article SIMPLE SUMMARY: The current standard-of-care (SOC) genetic testing of myeloid cancers in limited by resolution and/or is targeted to investigate limited regions/genes in the genome. As a result, these genomes remain poorly characterized and warrant further investigation using emerging technologies. In this study, we have utilized a novel approach of combining a high-resolution cytogenetic technology with next-generation sequencing to obtain a comprehensive genomic profile of these tumors. This approach identified genetic alterations in previously negative cases and identified clinically relevant alteration in additional cases. This combinatorial approach has the potential to replace the current SOC workflow. ABSTRACT: The standard-of-care (SOC) for genomic testing of myeloid cancers primarily relies on karyotyping/fluorescent in situ hybridization (FISH) (cytogenetic analysis) and targeted gene panels (usually ≤54 genes) that harbor hotspot pathogenic variants (molecular genetic analysis). Despite this combinatorial approach, ~50% of myeloid cancer genomes remain cytogenetically normal, and the limited sequencing variant profiles obtained from targeted panels are unable to resolve the molecular etiology of many myeloid tumors. In this study, we evaluated the performance and clinical utility of combinatorial use of optical genome mapping (OGM) and a 523-gene next-generation sequencing (NGS) panel for comprehensive genomic profiling of 30 myeloid tumors and compared it to SOC cytogenetic methods (karyotyping and FISH) and a 54-gene NGS panel. OGM and the 523-gene NGS panel had an analytical concordance of 100% with karyotyping, FISH, and the 54-gene panel, respectively. Importantly, the IPSS-R cytogenetic risk group changed from very good/good to very poor in 22% of MDS (2/9) cases based on comprehensive profiling (karyotyping, FISH, and 54-gene panel vs. OGM and 523-gene panel), while additionally identifying six compound heterozygous events of potential clinical relevance in six cases (6/30, 20%). This cost-effective approach of using OGM and a 523-gene NGS panel for comprehensive genomic profiling of myeloid cancers demonstrated increased yield of actionable targets that can potentially result in improved clinical outcomes. MDPI 2023-06-16 /pmc/articles/PMC10296552/ /pubmed/37370824 http://dx.doi.org/10.3390/cancers15123214 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Sahajpal, Nikhil Shri
Mondal, Ashis K.
Singh, Harmanpreet
Vashisht, Ashutosh
Ananth, Sudha
Saul, Daniel
Hastie, Alex R.
Hilton, Benjamin
DuPont, Barbara R.
Savage, Natasha M.
Kota, Vamsi
Chaubey, Alka
Cortes, Jorge E.
Kolhe, Ravindra
Clinical Utility of Optical Genome Mapping and 523-Gene Next Generation Sequencing Panel for Comprehensive Evaluation of Myeloid Cancers
title Clinical Utility of Optical Genome Mapping and 523-Gene Next Generation Sequencing Panel for Comprehensive Evaluation of Myeloid Cancers
title_full Clinical Utility of Optical Genome Mapping and 523-Gene Next Generation Sequencing Panel for Comprehensive Evaluation of Myeloid Cancers
title_fullStr Clinical Utility of Optical Genome Mapping and 523-Gene Next Generation Sequencing Panel for Comprehensive Evaluation of Myeloid Cancers
title_full_unstemmed Clinical Utility of Optical Genome Mapping and 523-Gene Next Generation Sequencing Panel for Comprehensive Evaluation of Myeloid Cancers
title_short Clinical Utility of Optical Genome Mapping and 523-Gene Next Generation Sequencing Panel for Comprehensive Evaluation of Myeloid Cancers
title_sort clinical utility of optical genome mapping and 523-gene next generation sequencing panel for comprehensive evaluation of myeloid cancers
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10296552/
https://www.ncbi.nlm.nih.gov/pubmed/37370824
http://dx.doi.org/10.3390/cancers15123214
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