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Automated next-generation profiling of genomic alterations in human cancers
The lack of validated, distributed comprehensive genomic profiling assays for patients with cancer inhibits access to precision oncology treatment. To address this, we describe elio tissue complete, which has been FDA-cleared for examination of 505 cancer-related genes. Independent analyses of clini...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9123004/ https://www.ncbi.nlm.nih.gov/pubmed/35595835 http://dx.doi.org/10.1038/s41467-022-30380-x |
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author | Keefer, Laurel A. White, James R. Wood, Derrick E. Gerding, Kelly M. R. Valkenburg, Kenneth C. Riley, David Gault, Christopher Papp, Eniko Vollmer, Christine M. Greer, Amy Hernandez, James McGregor, Paul M. Zingone, Adriana Ryan, Bríd M. Deak, Kristen McCall, Shannon J. Datto, Michael B. Prescott, James L. Thompson, John F. Cerqueira, Gustavo C. Jones, Siân Simmons, John K. McElhinny, Abigail Dickey, Jennifer Angiuoli, Samuel V. Diaz, Luis A. Velculescu, Victor E. Sausen, Mark |
author_facet | Keefer, Laurel A. White, James R. Wood, Derrick E. Gerding, Kelly M. R. Valkenburg, Kenneth C. Riley, David Gault, Christopher Papp, Eniko Vollmer, Christine M. Greer, Amy Hernandez, James McGregor, Paul M. Zingone, Adriana Ryan, Bríd M. Deak, Kristen McCall, Shannon J. Datto, Michael B. Prescott, James L. Thompson, John F. Cerqueira, Gustavo C. Jones, Siân Simmons, John K. McElhinny, Abigail Dickey, Jennifer Angiuoli, Samuel V. Diaz, Luis A. Velculescu, Victor E. Sausen, Mark |
author_sort | Keefer, Laurel A. |
collection | PubMed |
description | The lack of validated, distributed comprehensive genomic profiling assays for patients with cancer inhibits access to precision oncology treatment. To address this, we describe elio tissue complete, which has been FDA-cleared for examination of 505 cancer-related genes. Independent analyses of clinically and biologically relevant sequence changes across 170 clinical tumor samples using MSK-IMPACT, FoundationOne, and PCR-based methods reveals a positive percent agreement of >97%. We observe high concordance with whole-exome sequencing for evaluation of tumor mutational burden for 307 solid tumors (Pearson r = 0.95) and comparison of the elio tissue complete microsatellite instability detection approach with an independent PCR assay for 223 samples displays a positive percent agreement of 99%. Finally, evaluation of amplifications and translocations against DNA- and RNA-based approaches exhibits >98% negative percent agreement and positive percent agreement of 86% and 82%, respectively. These methods provide an approach for pan-solid tumor comprehensive genomic profiling with high analytical performance. |
format | Online Article Text |
id | pubmed-9123004 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-91230042022-05-22 Automated next-generation profiling of genomic alterations in human cancers Keefer, Laurel A. White, James R. Wood, Derrick E. Gerding, Kelly M. R. Valkenburg, Kenneth C. Riley, David Gault, Christopher Papp, Eniko Vollmer, Christine M. Greer, Amy Hernandez, James McGregor, Paul M. Zingone, Adriana Ryan, Bríd M. Deak, Kristen McCall, Shannon J. Datto, Michael B. Prescott, James L. Thompson, John F. Cerqueira, Gustavo C. Jones, Siân Simmons, John K. McElhinny, Abigail Dickey, Jennifer Angiuoli, Samuel V. Diaz, Luis A. Velculescu, Victor E. Sausen, Mark Nat Commun Article The lack of validated, distributed comprehensive genomic profiling assays for patients with cancer inhibits access to precision oncology treatment. To address this, we describe elio tissue complete, which has been FDA-cleared for examination of 505 cancer-related genes. Independent analyses of clinically and biologically relevant sequence changes across 170 clinical tumor samples using MSK-IMPACT, FoundationOne, and PCR-based methods reveals a positive percent agreement of >97%. We observe high concordance with whole-exome sequencing for evaluation of tumor mutational burden for 307 solid tumors (Pearson r = 0.95) and comparison of the elio tissue complete microsatellite instability detection approach with an independent PCR assay for 223 samples displays a positive percent agreement of 99%. Finally, evaluation of amplifications and translocations against DNA- and RNA-based approaches exhibits >98% negative percent agreement and positive percent agreement of 86% and 82%, respectively. These methods provide an approach for pan-solid tumor comprehensive genomic profiling with high analytical performance. Nature Publishing Group UK 2022-05-20 /pmc/articles/PMC9123004/ /pubmed/35595835 http://dx.doi.org/10.1038/s41467-022-30380-x Text en © The Author(s) 2022 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Keefer, Laurel A. White, James R. Wood, Derrick E. Gerding, Kelly M. R. Valkenburg, Kenneth C. Riley, David Gault, Christopher Papp, Eniko Vollmer, Christine M. Greer, Amy Hernandez, James McGregor, Paul M. Zingone, Adriana Ryan, Bríd M. Deak, Kristen McCall, Shannon J. Datto, Michael B. Prescott, James L. Thompson, John F. Cerqueira, Gustavo C. Jones, Siân Simmons, John K. McElhinny, Abigail Dickey, Jennifer Angiuoli, Samuel V. Diaz, Luis A. Velculescu, Victor E. Sausen, Mark Automated next-generation profiling of genomic alterations in human cancers |
title | Automated next-generation profiling of genomic alterations in human cancers |
title_full | Automated next-generation profiling of genomic alterations in human cancers |
title_fullStr | Automated next-generation profiling of genomic alterations in human cancers |
title_full_unstemmed | Automated next-generation profiling of genomic alterations in human cancers |
title_short | Automated next-generation profiling of genomic alterations in human cancers |
title_sort | automated next-generation profiling of genomic alterations in human cancers |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9123004/ https://www.ncbi.nlm.nih.gov/pubmed/35595835 http://dx.doi.org/10.1038/s41467-022-30380-x |
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