Individualized Proteogenomics Reveals the Mutational Landscape of Melanoma Patients in Response to Immunotherapy
Immune checkpoint inhibitors are used to restore or augment antitumor immune responses and show great promise in the treatment of melanoma and other types of cancers. However, only a small percentage of patients are fully responsive to immune checkpoint inhibition, mostly due to tumor heterogeneity...
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2021
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oai:doaj.org-article:91ad1cf1ba114fcb9bb863931ff9ce552021-11-11T15:30:36ZIndividualized Proteogenomics Reveals the Mutational Landscape of Melanoma Patients in Response to Immunotherapy10.3390/cancers132154112072-6694https://doaj.org/article/91ad1cf1ba114fcb9bb863931ff9ce552021-10-01T00:00:00Zhttps://www.mdpi.com/2072-6694/13/21/5411https://doaj.org/toc/2072-6694Immune checkpoint inhibitors are used to restore or augment antitumor immune responses and show great promise in the treatment of melanoma and other types of cancers. However, only a small percentage of patients are fully responsive to immune checkpoint inhibition, mostly due to tumor heterogeneity and primary resistance to therapy. Both of these features are largely driven by the accumulation of patient-specific mutations, pointing to the need for personalized approaches in diagnostics and immunotherapy. Proteogenomics integrates patient-specific genomic and proteomic data to study cancer development, tumor heterogeneity and resistance mechanisms. Using this approach, we characterized the mutational landscape of four clinical melanoma patients. This enabled the quantification of hundreds of sample-specific amino acid variants, among them many that were previously not reported in melanoma. Changes in abundance at the protein and phosphorylation site levels revealed patient-specific over-represented pathways, notably linked to melanoma development (MAPK1 activation) or immunotherapy (NLRP1 inflammasome). Personalized data integration resulted in the prediction of protein drug targets, such as the drugs vandetanib and bosutinib, which were experimentally validated and led to a reduction in the viability of tumor cells. Our study emphasizes the potential of proteogenomic approaches to study personalized mutational landscapes, signaling networks and therapy options.Marisa SchmittTobias SinnbergHeike NiessnerAndrea ForschnerClaus GarbeBoris MacekNicolas C. NalpasMDPI AGarticleproteogenomicsmelanomamass spectrometryimmunotherapywhole exome sequencingNeoplasms. Tumors. Oncology. Including cancer and carcinogensRC254-282ENCancers, Vol 13, Iss 5411, p 5411 (2021) |
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proteogenomics melanoma mass spectrometry immunotherapy whole exome sequencing Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282 |
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proteogenomics melanoma mass spectrometry immunotherapy whole exome sequencing Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282 Marisa Schmitt Tobias Sinnberg Heike Niessner Andrea Forschner Claus Garbe Boris Macek Nicolas C. Nalpas Individualized Proteogenomics Reveals the Mutational Landscape of Melanoma Patients in Response to Immunotherapy |
description |
Immune checkpoint inhibitors are used to restore or augment antitumor immune responses and show great promise in the treatment of melanoma and other types of cancers. However, only a small percentage of patients are fully responsive to immune checkpoint inhibition, mostly due to tumor heterogeneity and primary resistance to therapy. Both of these features are largely driven by the accumulation of patient-specific mutations, pointing to the need for personalized approaches in diagnostics and immunotherapy. Proteogenomics integrates patient-specific genomic and proteomic data to study cancer development, tumor heterogeneity and resistance mechanisms. Using this approach, we characterized the mutational landscape of four clinical melanoma patients. This enabled the quantification of hundreds of sample-specific amino acid variants, among them many that were previously not reported in melanoma. Changes in abundance at the protein and phosphorylation site levels revealed patient-specific over-represented pathways, notably linked to melanoma development (MAPK1 activation) or immunotherapy (NLRP1 inflammasome). Personalized data integration resulted in the prediction of protein drug targets, such as the drugs vandetanib and bosutinib, which were experimentally validated and led to a reduction in the viability of tumor cells. Our study emphasizes the potential of proteogenomic approaches to study personalized mutational landscapes, signaling networks and therapy options. |
format |
article |
author |
Marisa Schmitt Tobias Sinnberg Heike Niessner Andrea Forschner Claus Garbe Boris Macek Nicolas C. Nalpas |
author_facet |
Marisa Schmitt Tobias Sinnberg Heike Niessner Andrea Forschner Claus Garbe Boris Macek Nicolas C. Nalpas |
author_sort |
Marisa Schmitt |
title |
Individualized Proteogenomics Reveals the Mutational Landscape of Melanoma Patients in Response to Immunotherapy |
title_short |
Individualized Proteogenomics Reveals the Mutational Landscape of Melanoma Patients in Response to Immunotherapy |
title_full |
Individualized Proteogenomics Reveals the Mutational Landscape of Melanoma Patients in Response to Immunotherapy |
title_fullStr |
Individualized Proteogenomics Reveals the Mutational Landscape of Melanoma Patients in Response to Immunotherapy |
title_full_unstemmed |
Individualized Proteogenomics Reveals the Mutational Landscape of Melanoma Patients in Response to Immunotherapy |
title_sort |
individualized proteogenomics reveals the mutational landscape of melanoma patients in response to immunotherapy |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/91ad1cf1ba114fcb9bb863931ff9ce55 |
work_keys_str_mv |
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