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Assessment of Two Commercial Comprehensive Gene Panels for Personalized Cancer Treatment
(1) Background: Analysis of tumor DNA by next-generation sequencing (NGS) plays various roles in the classification and management of cancer. This study aimed to assess the performance of two similar and large, comprehensive gene panels with a focus on clinically relevant variant detection and tumor...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9863125/ https://www.ncbi.nlm.nih.gov/pubmed/36675703 http://dx.doi.org/10.3390/jpm13010042 |
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author | Ottestad, Anine Larsen Huang, Mo Emdal, Elisabeth Fritzke Mjelle, Robin Skarpeteig, Veronica Dai, Hong Yan |
author_facet | Ottestad, Anine Larsen Huang, Mo Emdal, Elisabeth Fritzke Mjelle, Robin Skarpeteig, Veronica Dai, Hong Yan |
author_sort | Ottestad, Anine Larsen |
collection | PubMed |
description | (1) Background: Analysis of tumor DNA by next-generation sequencing (NGS) plays various roles in the classification and management of cancer. This study aimed to assess the performance of two similar and large, comprehensive gene panels with a focus on clinically relevant variant detection and tumor mutation burden (TMB) assessment; (2) Methods: DNA from 19 diagnostic small cell lung cancer biopsies and an AcroMetrix™ assessment sample with >500 mutations were sequenced using Oncomine(™) Comprehensive Assay Plus (OCAP) on the Ion Torrent platform and TruSight Oncology 500 Assay (TSO500) on the Illumina platform; (3) Results: OCAP and TSO500 achieved comparable NGS quality, such as mean read coverage and mean coverage uniformity. A total of 100% of the variants in the diagnostic samples and 80% of the variants in the AcroMetrix™ assessment sample were detected by both panels, and the panels reported highly similar variant allele frequency. A proportion of 14/19 (74%) samples were classified in the same TMB category; (4) Conclusions: Comparable results were obtained using OCAP and TSO500, suggesting that both panels could be applied to screen patients for enrolment in personalized cancer treatment trials. |
format | Online Article Text |
id | pubmed-9863125 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-98631252023-01-22 Assessment of Two Commercial Comprehensive Gene Panels for Personalized Cancer Treatment Ottestad, Anine Larsen Huang, Mo Emdal, Elisabeth Fritzke Mjelle, Robin Skarpeteig, Veronica Dai, Hong Yan J Pers Med Article (1) Background: Analysis of tumor DNA by next-generation sequencing (NGS) plays various roles in the classification and management of cancer. This study aimed to assess the performance of two similar and large, comprehensive gene panels with a focus on clinically relevant variant detection and tumor mutation burden (TMB) assessment; (2) Methods: DNA from 19 diagnostic small cell lung cancer biopsies and an AcroMetrix™ assessment sample with >500 mutations were sequenced using Oncomine(™) Comprehensive Assay Plus (OCAP) on the Ion Torrent platform and TruSight Oncology 500 Assay (TSO500) on the Illumina platform; (3) Results: OCAP and TSO500 achieved comparable NGS quality, such as mean read coverage and mean coverage uniformity. A total of 100% of the variants in the diagnostic samples and 80% of the variants in the AcroMetrix™ assessment sample were detected by both panels, and the panels reported highly similar variant allele frequency. A proportion of 14/19 (74%) samples were classified in the same TMB category; (4) Conclusions: Comparable results were obtained using OCAP and TSO500, suggesting that both panels could be applied to screen patients for enrolment in personalized cancer treatment trials. MDPI 2022-12-26 /pmc/articles/PMC9863125/ /pubmed/36675703 http://dx.doi.org/10.3390/jpm13010042 Text en © 2022 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 Ottestad, Anine Larsen Huang, Mo Emdal, Elisabeth Fritzke Mjelle, Robin Skarpeteig, Veronica Dai, Hong Yan Assessment of Two Commercial Comprehensive Gene Panels for Personalized Cancer Treatment |
title | Assessment of Two Commercial Comprehensive Gene Panels for Personalized Cancer Treatment |
title_full | Assessment of Two Commercial Comprehensive Gene Panels for Personalized Cancer Treatment |
title_fullStr | Assessment of Two Commercial Comprehensive Gene Panels for Personalized Cancer Treatment |
title_full_unstemmed | Assessment of Two Commercial Comprehensive Gene Panels for Personalized Cancer Treatment |
title_short | Assessment of Two Commercial Comprehensive Gene Panels for Personalized Cancer Treatment |
title_sort | assessment of two commercial comprehensive gene panels for personalized cancer treatment |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9863125/ https://www.ncbi.nlm.nih.gov/pubmed/36675703 http://dx.doi.org/10.3390/jpm13010042 |
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