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Genetic Profiling of Advanced Melanoma: Candidate Mutations for Predicting Sensitivity and Resistance to Targeted Therapy
BACKGROUND: Molecularly targeted therapy has revolutionized the treatment of advanced melanoma. However, despite its high efficiency, a majority of patients experience relapse within 1 year of treatment because of acquired resistance, and approximately 10–25% patients gain no benefit from these agen...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7028806/ https://www.ncbi.nlm.nih.gov/pubmed/31980996 http://dx.doi.org/10.1007/s11523-020-00695-0 |
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author | Olbryt, Magdalena Pigłowski, Wojciech Rajczykowski, Marcin Pfeifer, Aleksandra Student, Sebastian Fiszer-Kierzkowska, Anna |
author_facet | Olbryt, Magdalena Pigłowski, Wojciech Rajczykowski, Marcin Pfeifer, Aleksandra Student, Sebastian Fiszer-Kierzkowska, Anna |
author_sort | Olbryt, Magdalena |
collection | PubMed |
description | BACKGROUND: Molecularly targeted therapy has revolutionized the treatment of advanced melanoma. However, despite its high efficiency, a majority of patients experience relapse within 1 year of treatment because of acquired resistance, and approximately 10–25% patients gain no benefit from these agents owing to intrinsic resistance. This is mainly caused by the genetic heterogeneity of melanoma cells. OBJECTIVE: We aimed to validate the predictive significance of selected genes in advanced melanoma patients before treatment with BRAF/MEK inhibitors. PATIENTS AND METHODS: Archival DNA derived from 37 formalin-fixed paraffin-embedded pre-treatment advanced melanoma samples of patients treated with targeted therapy was used for next-generation sequencing analysis using the Ion Torrent platform. The AmpliSeq Custom Panel comprised coding sequences or hot spots of 23 melanoma genes: ATM, BRAF, CDK4, CDKN2A, CTNNB1, EGFR, HOXD8, HRAS, IDH1, KIT, KRAS, MAP3K8, MAP2K1, MAP2K2, MITF, MYC, NF1, NRAS, PAX5, PIK3R1, PTEN, RAC1, and RB1. The sequences were evaluated for genomic alterations and further validated using Sanger sequencing. RESULTS: Our analysis revealed non-BRAF genetic alterations in 28 out of 37 samples (75.7%). Genetic changes were identified in PTEN, CDK4, CDKN2A, CTNNB1, EGFR, HOXD8, HRAS, KIT, MAP2K1, MAP2K2, MITF, MYC, NF1, PAX5, RAC1, and RB1. Fifteen known pathogenic mutations (single nucleotide variants or indels) and 11 variants of unknown significance were detected. Statistical analysis revealed an association between the presence of pathogenic mutations and time to progression during treatment with combination therapy. CONCLUSIONS: Pathogenic mutations identified by gene panel sequencing have potential predictive value for targeted therapy of melanoma and are worth further validation in a larger series of cases. The role of some known mutations (e.g. CDK4(R24), PTEN c.801 + 1G > A, CTNNB1(S45F)) as well as variants of unknown significance identified in this study (e.g. MITF(R316K), KIT(G498S)) in the generation of resistance to BRAF/MEK inhibitors should be further investigated. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11523-020-00695-0) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-7028806 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-70288062020-03-02 Genetic Profiling of Advanced Melanoma: Candidate Mutations for Predicting Sensitivity and Resistance to Targeted Therapy Olbryt, Magdalena Pigłowski, Wojciech Rajczykowski, Marcin Pfeifer, Aleksandra Student, Sebastian Fiszer-Kierzkowska, Anna Target Oncol Original Research Article BACKGROUND: Molecularly targeted therapy has revolutionized the treatment of advanced melanoma. However, despite its high efficiency, a majority of patients experience relapse within 1 year of treatment because of acquired resistance, and approximately 10–25% patients gain no benefit from these agents owing to intrinsic resistance. This is mainly caused by the genetic heterogeneity of melanoma cells. OBJECTIVE: We aimed to validate the predictive significance of selected genes in advanced melanoma patients before treatment with BRAF/MEK inhibitors. PATIENTS AND METHODS: Archival DNA derived from 37 formalin-fixed paraffin-embedded pre-treatment advanced melanoma samples of patients treated with targeted therapy was used for next-generation sequencing analysis using the Ion Torrent platform. The AmpliSeq Custom Panel comprised coding sequences or hot spots of 23 melanoma genes: ATM, BRAF, CDK4, CDKN2A, CTNNB1, EGFR, HOXD8, HRAS, IDH1, KIT, KRAS, MAP3K8, MAP2K1, MAP2K2, MITF, MYC, NF1, NRAS, PAX5, PIK3R1, PTEN, RAC1, and RB1. The sequences were evaluated for genomic alterations and further validated using Sanger sequencing. RESULTS: Our analysis revealed non-BRAF genetic alterations in 28 out of 37 samples (75.7%). Genetic changes were identified in PTEN, CDK4, CDKN2A, CTNNB1, EGFR, HOXD8, HRAS, KIT, MAP2K1, MAP2K2, MITF, MYC, NF1, PAX5, RAC1, and RB1. Fifteen known pathogenic mutations (single nucleotide variants or indels) and 11 variants of unknown significance were detected. Statistical analysis revealed an association between the presence of pathogenic mutations and time to progression during treatment with combination therapy. CONCLUSIONS: Pathogenic mutations identified by gene panel sequencing have potential predictive value for targeted therapy of melanoma and are worth further validation in a larger series of cases. The role of some known mutations (e.g. CDK4(R24), PTEN c.801 + 1G > A, CTNNB1(S45F)) as well as variants of unknown significance identified in this study (e.g. MITF(R316K), KIT(G498S)) in the generation of resistance to BRAF/MEK inhibitors should be further investigated. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11523-020-00695-0) contains supplementary material, which is available to authorized users. Springer International Publishing 2020-01-25 2020 /pmc/articles/PMC7028806/ /pubmed/31980996 http://dx.doi.org/10.1007/s11523-020-00695-0 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial 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-nc/4.0/. |
spellingShingle | Original Research Article Olbryt, Magdalena Pigłowski, Wojciech Rajczykowski, Marcin Pfeifer, Aleksandra Student, Sebastian Fiszer-Kierzkowska, Anna Genetic Profiling of Advanced Melanoma: Candidate Mutations for Predicting Sensitivity and Resistance to Targeted Therapy |
title | Genetic Profiling of Advanced Melanoma: Candidate Mutations for Predicting Sensitivity and Resistance to Targeted Therapy |
title_full | Genetic Profiling of Advanced Melanoma: Candidate Mutations for Predicting Sensitivity and Resistance to Targeted Therapy |
title_fullStr | Genetic Profiling of Advanced Melanoma: Candidate Mutations for Predicting Sensitivity and Resistance to Targeted Therapy |
title_full_unstemmed | Genetic Profiling of Advanced Melanoma: Candidate Mutations for Predicting Sensitivity and Resistance to Targeted Therapy |
title_short | Genetic Profiling of Advanced Melanoma: Candidate Mutations for Predicting Sensitivity and Resistance to Targeted Therapy |
title_sort | genetic profiling of advanced melanoma: candidate mutations for predicting sensitivity and resistance to targeted therapy |
topic | Original Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7028806/ https://www.ncbi.nlm.nih.gov/pubmed/31980996 http://dx.doi.org/10.1007/s11523-020-00695-0 |
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