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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Autores principales: Marisa Schmitt, Tobias Sinnberg, Heike Niessner, Andrea Forschner, Claus Garbe, Boris Macek, Nicolas C. Nalpas
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Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/91ad1cf1ba114fcb9bb863931ff9ce55
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spelling 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)
institution DOAJ
collection DOAJ
language EN
topic proteogenomics
melanoma
mass spectrometry
immunotherapy
whole exome sequencing
Neoplasms. Tumors. Oncology. Including cancer and carcinogens
RC254-282
spellingShingle 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
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