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Mutant Proteomics of Lung Adenocarcinomas Harboring Different EGFR Mutations
Epidermal growth factor receptor EGFR major driver mutations may affect downstream molecular networks and pathways, which would influence treatment outcomes of non-small cell lung cancer (NSCLC). This study aimed to unveil profiles of mutant proteins expressed in lung adenocarcinomas of 36 patients...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7477350/ https://www.ncbi.nlm.nih.gov/pubmed/32983988 http://dx.doi.org/10.3389/fonc.2020.01494 |
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author | Nishimura, Toshihide Végvári, Ákos Nakamura, Haruhiko Kato, Harubumi Saji, Hisashi |
author_facet | Nishimura, Toshihide Végvári, Ákos Nakamura, Haruhiko Kato, Harubumi Saji, Hisashi |
author_sort | Nishimura, Toshihide |
collection | PubMed |
description | Epidermal growth factor receptor EGFR major driver mutations may affect downstream molecular networks and pathways, which would influence treatment outcomes of non-small cell lung cancer (NSCLC). This study aimed to unveil profiles of mutant proteins expressed in lung adenocarcinomas of 36 patients harboring representative driver EGFR mutations (Ex19del, nine; L858R, nine; no Ex19del/L858R, 18). Surprisingly, the orthogonal partial least squares discriminant analysis performed for identified mutant proteins demonstrated the profound differences in distance among the different EGFR mutation groups, suggesting that cancer cells harboring L858R or Ex19del emerge from cellular origins different from L858R/Ex19del-negative cells. Weighted gene coexpression network analysis, together with over-representative analysis, identified 18 coexpressed modules and their eigen proteins. Pathways enriched differentially for both the L858R and Ex19del mutations included carboxylic acid metabolic process, cell cycle, developmental biology, cellular responses to stress, mitotic prophase, cell proliferation, growth, epithelial to mesenchymal transition (EMT), and immune system. The IPA causal network analysis identified the highly activated networks of PARPBP, HOXA1, and APH1 under the L858R mutation, whereas those of ASGR1, APEX1, BUB1, and MAPK10 were highly activated under the Ex19del mutation. Interestingly, the downregulated causal network of osimertinib intervention showed the highest significance in overlap p-value among most causal networks predicted under the L858R mutation. We also identified the causal network of MAPK interacting serine/threonine kinase 1/2 (MNK1/2) highly activated differentially under the L858R mutation. Tumor-suppressor AMOT, a component of the Hippo pathways, was highly inhibited commonly under both L858R and Ex19del mutations. Our results could identify disease-related protein molecular networks from the landscape of single amino acid variants. Our findings may help identify potential therapeutic targets and develop therapeutic strategies to improve patient outcomes. |
format | Online Article Text |
id | pubmed-7477350 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-74773502020-09-26 Mutant Proteomics of Lung Adenocarcinomas Harboring Different EGFR Mutations Nishimura, Toshihide Végvári, Ákos Nakamura, Haruhiko Kato, Harubumi Saji, Hisashi Front Oncol Oncology Epidermal growth factor receptor EGFR major driver mutations may affect downstream molecular networks and pathways, which would influence treatment outcomes of non-small cell lung cancer (NSCLC). This study aimed to unveil profiles of mutant proteins expressed in lung adenocarcinomas of 36 patients harboring representative driver EGFR mutations (Ex19del, nine; L858R, nine; no Ex19del/L858R, 18). Surprisingly, the orthogonal partial least squares discriminant analysis performed for identified mutant proteins demonstrated the profound differences in distance among the different EGFR mutation groups, suggesting that cancer cells harboring L858R or Ex19del emerge from cellular origins different from L858R/Ex19del-negative cells. Weighted gene coexpression network analysis, together with over-representative analysis, identified 18 coexpressed modules and their eigen proteins. Pathways enriched differentially for both the L858R and Ex19del mutations included carboxylic acid metabolic process, cell cycle, developmental biology, cellular responses to stress, mitotic prophase, cell proliferation, growth, epithelial to mesenchymal transition (EMT), and immune system. The IPA causal network analysis identified the highly activated networks of PARPBP, HOXA1, and APH1 under the L858R mutation, whereas those of ASGR1, APEX1, BUB1, and MAPK10 were highly activated under the Ex19del mutation. Interestingly, the downregulated causal network of osimertinib intervention showed the highest significance in overlap p-value among most causal networks predicted under the L858R mutation. We also identified the causal network of MAPK interacting serine/threonine kinase 1/2 (MNK1/2) highly activated differentially under the L858R mutation. Tumor-suppressor AMOT, a component of the Hippo pathways, was highly inhibited commonly under both L858R and Ex19del mutations. Our results could identify disease-related protein molecular networks from the landscape of single amino acid variants. Our findings may help identify potential therapeutic targets and develop therapeutic strategies to improve patient outcomes. Frontiers Media S.A. 2020-08-25 /pmc/articles/PMC7477350/ /pubmed/32983988 http://dx.doi.org/10.3389/fonc.2020.01494 Text en Copyright © 2020 Nishimura, Végvári, Nakamura, Kato and Saji. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Nishimura, Toshihide Végvári, Ákos Nakamura, Haruhiko Kato, Harubumi Saji, Hisashi Mutant Proteomics of Lung Adenocarcinomas Harboring Different EGFR Mutations |
title | Mutant Proteomics of Lung Adenocarcinomas Harboring Different EGFR Mutations |
title_full | Mutant Proteomics of Lung Adenocarcinomas Harboring Different EGFR Mutations |
title_fullStr | Mutant Proteomics of Lung Adenocarcinomas Harboring Different EGFR Mutations |
title_full_unstemmed | Mutant Proteomics of Lung Adenocarcinomas Harboring Different EGFR Mutations |
title_short | Mutant Proteomics of Lung Adenocarcinomas Harboring Different EGFR Mutations |
title_sort | mutant proteomics of lung adenocarcinomas harboring different egfr mutations |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7477350/ https://www.ncbi.nlm.nih.gov/pubmed/32983988 http://dx.doi.org/10.3389/fonc.2020.01494 |
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