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A novel diagnostic system to evaluate epidermal growth factor receptor impact as a prognostic and therapeutic indicator for lung adenocarcinoma

Many driver pathways for cancer cell proliferation have been reported. Driver pathway activation is often evaluated based on a single hotspot mutation such as EGFR L858R. However, because of complex intratumoral networks, the impact of a driver pathway cannot be predicted based on only a single gene...

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Autores principales: Takakuwa, Kazuya, Mogushi, Kaoru, Han, Min, Fujii, Tomoaki, Hosoya, Masaki, Yamanami, Arina, Akita, Tomomi, Yamashita, Chikamasa, Hayashida, Tetsu, Kato, Shunsuke, Yamaguchi, Shigeo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7148318/
https://www.ncbi.nlm.nih.gov/pubmed/32277151
http://dx.doi.org/10.1038/s41598-020-63200-7
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author Takakuwa, Kazuya
Mogushi, Kaoru
Han, Min
Fujii, Tomoaki
Hosoya, Masaki
Yamanami, Arina
Akita, Tomomi
Yamashita, Chikamasa
Hayashida, Tetsu
Kato, Shunsuke
Yamaguchi, Shigeo
author_facet Takakuwa, Kazuya
Mogushi, Kaoru
Han, Min
Fujii, Tomoaki
Hosoya, Masaki
Yamanami, Arina
Akita, Tomomi
Yamashita, Chikamasa
Hayashida, Tetsu
Kato, Shunsuke
Yamaguchi, Shigeo
author_sort Takakuwa, Kazuya
collection PubMed
description Many driver pathways for cancer cell proliferation have been reported. Driver pathway activation is often evaluated based on a single hotspot mutation such as EGFR L858R. However, because of complex intratumoral networks, the impact of a driver pathway cannot be predicted based on only a single gene mutation. Here, we developed a novel diagnostic system named the “EGFR impact score” which is based on multiplex mRNA expression profiles, which can predict the impact of the EGFR pathway in lung cancer cells and the effect of EGFR-tyrosine kinase inhibitors on malignancy. The EGFR impact score indicated robust predictive power for the prognosis of early-stage lung cancer because this score can evaluate the impact of the EGFR pathway on the tumor and genomic instability. Additionally, the molecular features of the poor prognostic group resembled those of biomarkers associated with immune checkpoint inhibitors. The EGFR impact score is a novel prognostic and therapeutic indicator for lung adenocarcinoma.
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spelling pubmed-71483182020-04-15 A novel diagnostic system to evaluate epidermal growth factor receptor impact as a prognostic and therapeutic indicator for lung adenocarcinoma Takakuwa, Kazuya Mogushi, Kaoru Han, Min Fujii, Tomoaki Hosoya, Masaki Yamanami, Arina Akita, Tomomi Yamashita, Chikamasa Hayashida, Tetsu Kato, Shunsuke Yamaguchi, Shigeo Sci Rep Article Many driver pathways for cancer cell proliferation have been reported. Driver pathway activation is often evaluated based on a single hotspot mutation such as EGFR L858R. However, because of complex intratumoral networks, the impact of a driver pathway cannot be predicted based on only a single gene mutation. Here, we developed a novel diagnostic system named the “EGFR impact score” which is based on multiplex mRNA expression profiles, which can predict the impact of the EGFR pathway in lung cancer cells and the effect of EGFR-tyrosine kinase inhibitors on malignancy. The EGFR impact score indicated robust predictive power for the prognosis of early-stage lung cancer because this score can evaluate the impact of the EGFR pathway on the tumor and genomic instability. Additionally, the molecular features of the poor prognostic group resembled those of biomarkers associated with immune checkpoint inhibitors. The EGFR impact score is a novel prognostic and therapeutic indicator for lung adenocarcinoma. Nature Publishing Group UK 2020-04-10 /pmc/articles/PMC7148318/ /pubmed/32277151 http://dx.doi.org/10.1038/s41598-020-63200-7 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Takakuwa, Kazuya
Mogushi, Kaoru
Han, Min
Fujii, Tomoaki
Hosoya, Masaki
Yamanami, Arina
Akita, Tomomi
Yamashita, Chikamasa
Hayashida, Tetsu
Kato, Shunsuke
Yamaguchi, Shigeo
A novel diagnostic system to evaluate epidermal growth factor receptor impact as a prognostic and therapeutic indicator for lung adenocarcinoma
title A novel diagnostic system to evaluate epidermal growth factor receptor impact as a prognostic and therapeutic indicator for lung adenocarcinoma
title_full A novel diagnostic system to evaluate epidermal growth factor receptor impact as a prognostic and therapeutic indicator for lung adenocarcinoma
title_fullStr A novel diagnostic system to evaluate epidermal growth factor receptor impact as a prognostic and therapeutic indicator for lung adenocarcinoma
title_full_unstemmed A novel diagnostic system to evaluate epidermal growth factor receptor impact as a prognostic and therapeutic indicator for lung adenocarcinoma
title_short A novel diagnostic system to evaluate epidermal growth factor receptor impact as a prognostic and therapeutic indicator for lung adenocarcinoma
title_sort novel diagnostic system to evaluate epidermal growth factor receptor impact as a prognostic and therapeutic indicator for lung adenocarcinoma
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7148318/
https://www.ncbi.nlm.nih.gov/pubmed/32277151
http://dx.doi.org/10.1038/s41598-020-63200-7
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