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Clinical application of a cancer genomic profiling assay to guide precision medicine decisions
AIM: Develop and apply a comprehensive and accurate next-generation sequencing based assay to help clinicians to match oncology patients to therapies. MATERIALS & METHODS: The performance of the CANCERPLEX(®) assay was assessed using DNA from well-characterized routine clinical formalin-fixed pa...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Future Medicine Ltd
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5580078/ https://www.ncbi.nlm.nih.gov/pubmed/28890729 http://dx.doi.org/10.2217/pme-2017-0011 |
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author | Eifert, Cheryl Pantazi, Angeliki Sun, Ruobai Xu, Jia Cingolani, Pablo Heyer, Joerg Russell, Meaghan Lvova, Maria Ring, Jennifer Tse, Julie Y Lyle, Stephen Protopopov, Alexei |
author_facet | Eifert, Cheryl Pantazi, Angeliki Sun, Ruobai Xu, Jia Cingolani, Pablo Heyer, Joerg Russell, Meaghan Lvova, Maria Ring, Jennifer Tse, Julie Y Lyle, Stephen Protopopov, Alexei |
author_sort | Eifert, Cheryl |
collection | PubMed |
description | AIM: Develop and apply a comprehensive and accurate next-generation sequencing based assay to help clinicians to match oncology patients to therapies. MATERIALS & METHODS: The performance of the CANCERPLEX(®) assay was assessed using DNA from well-characterized routine clinical formalin-fixed paraffin-embedded (FFPE) specimens and cell lines. RESULTS: The maximum sensitivity of the assay is 99.5% and its accuracy is virtually 100% for detecting somatic alterations with an allele fraction of as low as 10%. Clinically actionable variants were identified in 93% of patients (930 of 1000) who underwent testing. CONCLUSION: The test's capacity to determine all of the critical genetic changes, tumor mutation burden, microsatellite instability status and viral associations has important ramifications on clinical decision support strategies, including identification of patients who are likely to benefit from immune checkpoint blockage therapies. |
format | Online Article Text |
id | pubmed-5580078 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Future Medicine Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-55800782017-09-19 Clinical application of a cancer genomic profiling assay to guide precision medicine decisions Eifert, Cheryl Pantazi, Angeliki Sun, Ruobai Xu, Jia Cingolani, Pablo Heyer, Joerg Russell, Meaghan Lvova, Maria Ring, Jennifer Tse, Julie Y Lyle, Stephen Protopopov, Alexei Per Med Research Article AIM: Develop and apply a comprehensive and accurate next-generation sequencing based assay to help clinicians to match oncology patients to therapies. MATERIALS & METHODS: The performance of the CANCERPLEX(®) assay was assessed using DNA from well-characterized routine clinical formalin-fixed paraffin-embedded (FFPE) specimens and cell lines. RESULTS: The maximum sensitivity of the assay is 99.5% and its accuracy is virtually 100% for detecting somatic alterations with an allele fraction of as low as 10%. Clinically actionable variants were identified in 93% of patients (930 of 1000) who underwent testing. CONCLUSION: The test's capacity to determine all of the critical genetic changes, tumor mutation burden, microsatellite instability status and viral associations has important ramifications on clinical decision support strategies, including identification of patients who are likely to benefit from immune checkpoint blockage therapies. Future Medicine Ltd 2017-07 2017-05-26 /pmc/articles/PMC5580078/ /pubmed/28890729 http://dx.doi.org/10.2217/pme-2017-0011 Text en © 2017 KEW Inc This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 Unported License (http://creativecommons.org/licenses/by-nc-nd/4.0/) |
spellingShingle | Research Article Eifert, Cheryl Pantazi, Angeliki Sun, Ruobai Xu, Jia Cingolani, Pablo Heyer, Joerg Russell, Meaghan Lvova, Maria Ring, Jennifer Tse, Julie Y Lyle, Stephen Protopopov, Alexei Clinical application of a cancer genomic profiling assay to guide precision medicine decisions |
title | Clinical application of a cancer genomic profiling assay to guide precision medicine decisions |
title_full | Clinical application of a cancer genomic profiling assay to guide precision medicine decisions |
title_fullStr | Clinical application of a cancer genomic profiling assay to guide precision medicine decisions |
title_full_unstemmed | Clinical application of a cancer genomic profiling assay to guide precision medicine decisions |
title_short | Clinical application of a cancer genomic profiling assay to guide precision medicine decisions |
title_sort | clinical application of a cancer genomic profiling assay to guide precision medicine decisions |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5580078/ https://www.ncbi.nlm.nih.gov/pubmed/28890729 http://dx.doi.org/10.2217/pme-2017-0011 |
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