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Enhanced clinical assessment of hematologic malignancies through routine paired tumor and normal sequencing
Genomic profiling of hematologic malignancies has augmented our understanding of variants that contribute to disease pathogenesis and supported development of prognostic models that inform disease management in the clinic. Tumor only sequencing assays are limited in their ability to identify definit...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10613284/ https://www.ncbi.nlm.nih.gov/pubmed/37898613 http://dx.doi.org/10.1038/s41467-023-42585-9 |
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author | Ptashkin, Ryan N. Ewalt, Mark D. Jayakumaran, Gowtham Kiecka, Iwona Bowman, Anita S. Yao, JinJuan Casanova, Jacklyn Lin, Yun-Te David Petrova-Drus, Kseniya Mohanty, Abhinita S. Bacares, Ruben Benhamida, Jamal Rana, Satshil Razumova, Anna Vanderbilt, Chad Balakrishnan Rema, Anoop Rijo, Ivelise Son-Garcia, Julie de Bruijn, Ino Zhu, Menglei Lachhander, Sean Wang, Wei Haque, Mohammad S. Seshan, Venkatraman E. Wang, Jiajing Liu, Ying Nafa, Khedoudja Borsu, Laetitia Zhang, Yanming Aypar, Umut Suehnholz, Sarah P. Chakravarty, Debyani Park, Jae H. Abdel-Wahab, Omar Mato, Anthony R. Xiao, Wenbin Roshal, Mikhail Yabe, Mariko Batlevi, Connie Lee Giralt, Sergio Salles, Gilles Rampal, Raajit Tallman, Martin Stein, Eytan M. Younes, Anas Levine, Ross L. Perales, Miguel-Angel van den Brink, Marcel R. M. Dogan, Ahmet Ladanyi, Marc Berger, Michael F. Brannon, A. Rose Benayed, Ryma Zehir, Ahmet Arcila, Maria E. |
author_facet | Ptashkin, Ryan N. Ewalt, Mark D. Jayakumaran, Gowtham Kiecka, Iwona Bowman, Anita S. Yao, JinJuan Casanova, Jacklyn Lin, Yun-Te David Petrova-Drus, Kseniya Mohanty, Abhinita S. Bacares, Ruben Benhamida, Jamal Rana, Satshil Razumova, Anna Vanderbilt, Chad Balakrishnan Rema, Anoop Rijo, Ivelise Son-Garcia, Julie de Bruijn, Ino Zhu, Menglei Lachhander, Sean Wang, Wei Haque, Mohammad S. Seshan, Venkatraman E. Wang, Jiajing Liu, Ying Nafa, Khedoudja Borsu, Laetitia Zhang, Yanming Aypar, Umut Suehnholz, Sarah P. Chakravarty, Debyani Park, Jae H. Abdel-Wahab, Omar Mato, Anthony R. Xiao, Wenbin Roshal, Mikhail Yabe, Mariko Batlevi, Connie Lee Giralt, Sergio Salles, Gilles Rampal, Raajit Tallman, Martin Stein, Eytan M. Younes, Anas Levine, Ross L. Perales, Miguel-Angel van den Brink, Marcel R. M. Dogan, Ahmet Ladanyi, Marc Berger, Michael F. Brannon, A. Rose Benayed, Ryma Zehir, Ahmet Arcila, Maria E. |
author_sort | Ptashkin, Ryan N. |
collection | PubMed |
description | Genomic profiling of hematologic malignancies has augmented our understanding of variants that contribute to disease pathogenesis and supported development of prognostic models that inform disease management in the clinic. Tumor only sequencing assays are limited in their ability to identify definitive somatic variants, which can lead to ambiguity in clinical reporting and patient management. Here, we describe the MSK-IMPACT Heme cohort, a comprehensive data set of somatic alterations from paired tumor and normal DNA using a hybridization capture-based next generation sequencing platform. We highlight patterns of mutations, copy number alterations, and mutation signatures in a broad set of myeloid and lymphoid neoplasms. We also demonstrate the power of appropriate matching to make definitive somatic calls, including in patients who have undergone allogeneic stem cell transplant. We expect that this resource will further spur research into the pathobiology and clinical utility of clinical sequencing for patients with hematologic neoplasms. |
format | Online Article Text |
id | pubmed-10613284 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-106132842023-10-30 Enhanced clinical assessment of hematologic malignancies through routine paired tumor and normal sequencing Ptashkin, Ryan N. Ewalt, Mark D. Jayakumaran, Gowtham Kiecka, Iwona Bowman, Anita S. Yao, JinJuan Casanova, Jacklyn Lin, Yun-Te David Petrova-Drus, Kseniya Mohanty, Abhinita S. Bacares, Ruben Benhamida, Jamal Rana, Satshil Razumova, Anna Vanderbilt, Chad Balakrishnan Rema, Anoop Rijo, Ivelise Son-Garcia, Julie de Bruijn, Ino Zhu, Menglei Lachhander, Sean Wang, Wei Haque, Mohammad S. Seshan, Venkatraman E. Wang, Jiajing Liu, Ying Nafa, Khedoudja Borsu, Laetitia Zhang, Yanming Aypar, Umut Suehnholz, Sarah P. Chakravarty, Debyani Park, Jae H. Abdel-Wahab, Omar Mato, Anthony R. Xiao, Wenbin Roshal, Mikhail Yabe, Mariko Batlevi, Connie Lee Giralt, Sergio Salles, Gilles Rampal, Raajit Tallman, Martin Stein, Eytan M. Younes, Anas Levine, Ross L. Perales, Miguel-Angel van den Brink, Marcel R. M. Dogan, Ahmet Ladanyi, Marc Berger, Michael F. Brannon, A. Rose Benayed, Ryma Zehir, Ahmet Arcila, Maria E. Nat Commun Article Genomic profiling of hematologic malignancies has augmented our understanding of variants that contribute to disease pathogenesis and supported development of prognostic models that inform disease management in the clinic. Tumor only sequencing assays are limited in their ability to identify definitive somatic variants, which can lead to ambiguity in clinical reporting and patient management. Here, we describe the MSK-IMPACT Heme cohort, a comprehensive data set of somatic alterations from paired tumor and normal DNA using a hybridization capture-based next generation sequencing platform. We highlight patterns of mutations, copy number alterations, and mutation signatures in a broad set of myeloid and lymphoid neoplasms. We also demonstrate the power of appropriate matching to make definitive somatic calls, including in patients who have undergone allogeneic stem cell transplant. We expect that this resource will further spur research into the pathobiology and clinical utility of clinical sequencing for patients with hematologic neoplasms. Nature Publishing Group UK 2023-10-28 /pmc/articles/PMC10613284/ /pubmed/37898613 http://dx.doi.org/10.1038/s41467-023-42585-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Ptashkin, Ryan N. Ewalt, Mark D. Jayakumaran, Gowtham Kiecka, Iwona Bowman, Anita S. Yao, JinJuan Casanova, Jacklyn Lin, Yun-Te David Petrova-Drus, Kseniya Mohanty, Abhinita S. Bacares, Ruben Benhamida, Jamal Rana, Satshil Razumova, Anna Vanderbilt, Chad Balakrishnan Rema, Anoop Rijo, Ivelise Son-Garcia, Julie de Bruijn, Ino Zhu, Menglei Lachhander, Sean Wang, Wei Haque, Mohammad S. Seshan, Venkatraman E. Wang, Jiajing Liu, Ying Nafa, Khedoudja Borsu, Laetitia Zhang, Yanming Aypar, Umut Suehnholz, Sarah P. Chakravarty, Debyani Park, Jae H. Abdel-Wahab, Omar Mato, Anthony R. Xiao, Wenbin Roshal, Mikhail Yabe, Mariko Batlevi, Connie Lee Giralt, Sergio Salles, Gilles Rampal, Raajit Tallman, Martin Stein, Eytan M. Younes, Anas Levine, Ross L. Perales, Miguel-Angel van den Brink, Marcel R. M. Dogan, Ahmet Ladanyi, Marc Berger, Michael F. Brannon, A. Rose Benayed, Ryma Zehir, Ahmet Arcila, Maria E. Enhanced clinical assessment of hematologic malignancies through routine paired tumor and normal sequencing |
title | Enhanced clinical assessment of hematologic malignancies through routine paired tumor and normal sequencing |
title_full | Enhanced clinical assessment of hematologic malignancies through routine paired tumor and normal sequencing |
title_fullStr | Enhanced clinical assessment of hematologic malignancies through routine paired tumor and normal sequencing |
title_full_unstemmed | Enhanced clinical assessment of hematologic malignancies through routine paired tumor and normal sequencing |
title_short | Enhanced clinical assessment of hematologic malignancies through routine paired tumor and normal sequencing |
title_sort | enhanced clinical assessment of hematologic malignancies through routine paired tumor and normal sequencing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10613284/ https://www.ncbi.nlm.nih.gov/pubmed/37898613 http://dx.doi.org/10.1038/s41467-023-42585-9 |
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