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Impact of molecular testing in advanced melanoma on outcomes in a tertiary cancer center and as reported in a publicly available database

BACKGROUND: In patients with advanced melanoma (MM), genomic profiling may guide treatment decisions in the frontline setting and beyond as specific tumor mutations can be treated with targeted therapy (TT). The range of panel sizes used to identify targetable mutations (TM) can range from a few doz...

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Autores principales: Dimitrova, Maya, Kim, Min Jae, Osman, Iman, Jour, George
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8388178/
https://www.ncbi.nlm.nih.gov/pubmed/34109763
http://dx.doi.org/10.1002/cnr2.1380
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author Dimitrova, Maya
Kim, Min Jae
Osman, Iman
Jour, George
author_facet Dimitrova, Maya
Kim, Min Jae
Osman, Iman
Jour, George
author_sort Dimitrova, Maya
collection PubMed
description BACKGROUND: In patients with advanced melanoma (MM), genomic profiling may guide treatment decisions in the frontline setting and beyond as specific tumor mutations can be treated with targeted therapy (TT). The range of panel sizes used to identify targetable mutations (TM) can range from a few dozen to whole exome sequencing (WES). AIM: We investigated the impact of panel size and mutation status on first‐line treatment selection and outcomes in MM. METHODS AND RESULTS: We analyzed data for 1109 MM patients from three cohorts: 169 patients at NYULH and profiled with the 50 gene Ion Torrent panel (IT), 195 patients at MSKCC, profiled with the 400‐gene MSK‐IMPACT panel (MSK‐I) and 745 patients at seven different sites profiled with WES. Data for cohorts 2 and 3 were extrapolated from the publicly available cBioPortal. Treatment information was available for 100%, 25%, and 0% of patients in cohort 1, 2, and 3, respectively. BRAF and NRAS were among the top five most commonly mutated genes in the IT and MSK‐I, whereas for WES only BRAF was a top five mutation. There was no significant difference in OS for BRAF MUT patients treated with immune checkpoint inhibitors (ICI) vs TT in cohort 1 (P = .19), nor for BRAF MUT patients from cohort 1 treated with ICI vs those from cohort 2 treated with TT (P = .762). CONCLUSION: Public datasets provide population‐level data; however, the heterogeneity of reported clinical information limits their value and calls for data standardization. Without evidence of clear clinical benefit of a larger panel size, there is a rationale for adopting smaller, more cost effective panels in MM.
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spelling pubmed-83881782021-08-31 Impact of molecular testing in advanced melanoma on outcomes in a tertiary cancer center and as reported in a publicly available database Dimitrova, Maya Kim, Min Jae Osman, Iman Jour, George Cancer Rep (Hoboken) Original Articles BACKGROUND: In patients with advanced melanoma (MM), genomic profiling may guide treatment decisions in the frontline setting and beyond as specific tumor mutations can be treated with targeted therapy (TT). The range of panel sizes used to identify targetable mutations (TM) can range from a few dozen to whole exome sequencing (WES). AIM: We investigated the impact of panel size and mutation status on first‐line treatment selection and outcomes in MM. METHODS AND RESULTS: We analyzed data for 1109 MM patients from three cohorts: 169 patients at NYULH and profiled with the 50 gene Ion Torrent panel (IT), 195 patients at MSKCC, profiled with the 400‐gene MSK‐IMPACT panel (MSK‐I) and 745 patients at seven different sites profiled with WES. Data for cohorts 2 and 3 were extrapolated from the publicly available cBioPortal. Treatment information was available for 100%, 25%, and 0% of patients in cohort 1, 2, and 3, respectively. BRAF and NRAS were among the top five most commonly mutated genes in the IT and MSK‐I, whereas for WES only BRAF was a top five mutation. There was no significant difference in OS for BRAF MUT patients treated with immune checkpoint inhibitors (ICI) vs TT in cohort 1 (P = .19), nor for BRAF MUT patients from cohort 1 treated with ICI vs those from cohort 2 treated with TT (P = .762). CONCLUSION: Public datasets provide population‐level data; however, the heterogeneity of reported clinical information limits their value and calls for data standardization. Without evidence of clear clinical benefit of a larger panel size, there is a rationale for adopting smaller, more cost effective panels in MM. John Wiley and Sons Inc. 2021-06-09 /pmc/articles/PMC8388178/ /pubmed/34109763 http://dx.doi.org/10.1002/cnr2.1380 Text en © 2021 The Authors. Cancer Reports published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Dimitrova, Maya
Kim, Min Jae
Osman, Iman
Jour, George
Impact of molecular testing in advanced melanoma on outcomes in a tertiary cancer center and as reported in a publicly available database
title Impact of molecular testing in advanced melanoma on outcomes in a tertiary cancer center and as reported in a publicly available database
title_full Impact of molecular testing in advanced melanoma on outcomes in a tertiary cancer center and as reported in a publicly available database
title_fullStr Impact of molecular testing in advanced melanoma on outcomes in a tertiary cancer center and as reported in a publicly available database
title_full_unstemmed Impact of molecular testing in advanced melanoma on outcomes in a tertiary cancer center and as reported in a publicly available database
title_short Impact of molecular testing in advanced melanoma on outcomes in a tertiary cancer center and as reported in a publicly available database
title_sort impact of molecular testing in advanced melanoma on outcomes in a tertiary cancer center and as reported in a publicly available database
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8388178/
https://www.ncbi.nlm.nih.gov/pubmed/34109763
http://dx.doi.org/10.1002/cnr2.1380
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