Identification of molecular signatures associated with early relapse after complete resection of lung adenocarcinomas

Abstract The only potentially curative treatment for lung adenocarcinoma patients remains complete resection of early-stage tumors. However, many patients develop recurrence and die of their disease despite curative surgery. Underlying mechanisms leading to establishment of systemic disease after co...

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Autores principales: Helen Pasternack, Christiane Kuempers, Mario Deng, Iris Watermann, Till Olchers, Mark Kuehnel, Danny Jonigk, Christian Kugler, Florian Stellmacher, Torsten Goldmann, Jutta Kirfel, Ole Ammerpohl, Sven Perner, Martin Reck
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Publicado: Nature Portfolio 2021
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spelling oai:doaj.org-article:9ff870a588214cb1a79a0bb41e3043742021-12-02T14:49:43ZIdentification of molecular signatures associated with early relapse after complete resection of lung adenocarcinomas10.1038/s41598-021-89030-92045-2322https://doaj.org/article/9ff870a588214cb1a79a0bb41e3043742021-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-89030-9https://doaj.org/toc/2045-2322Abstract The only potentially curative treatment for lung adenocarcinoma patients remains complete resection of early-stage tumors. However, many patients develop recurrence and die of their disease despite curative surgery. Underlying mechanisms leading to establishment of systemic disease after complete resection are mostly unknown. We therefore aimed at identifying molecular signatures of resected lung adenocarcinomas associated with the risk of an early relapse. The study comprised 89 patients with totally resected stage IA–IIIA lung adenocarcinomas. Patients suffering from an early relapse within two years after surgery were compared to patients without a relapse in two years. Patients were clinically and molecular pathologically characterized. Tumor tissues were immunohistochemically analyzed for the expression of Ki67, CD45, CD4, CD8, PD1, PD-L1, PD-L2 and CD34, by Nanostring nCounter PanCancer Immune Profiling Panel as well as a comprehensive methylome profiling using the Infinium MethylationEPIC BeadChip. We detected differential DNA methylation patterns as well as significantly differentially expressed genes associated with an early relapse after complete resection. Especially, CD1A was identified as a potential biomarker, whose reduced expression is associated with an early relapse. These findings might help to develop biomarkers improving risk assessment and patient selection for adjuvant therapy as well as establish novel targeted therapeutic strategies.Helen PasternackChristiane KuempersMario DengIris WatermannTill OlchersMark KuehnelDanny JonigkChristian KuglerFlorian StellmacherTorsten GoldmannJutta KirfelOle AmmerpohlSven PernerMartin ReckNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Helen Pasternack
Christiane Kuempers
Mario Deng
Iris Watermann
Till Olchers
Mark Kuehnel
Danny Jonigk
Christian Kugler
Florian Stellmacher
Torsten Goldmann
Jutta Kirfel
Ole Ammerpohl
Sven Perner
Martin Reck
Identification of molecular signatures associated with early relapse after complete resection of lung adenocarcinomas
description Abstract The only potentially curative treatment for lung adenocarcinoma patients remains complete resection of early-stage tumors. However, many patients develop recurrence and die of their disease despite curative surgery. Underlying mechanisms leading to establishment of systemic disease after complete resection are mostly unknown. We therefore aimed at identifying molecular signatures of resected lung adenocarcinomas associated with the risk of an early relapse. The study comprised 89 patients with totally resected stage IA–IIIA lung adenocarcinomas. Patients suffering from an early relapse within two years after surgery were compared to patients without a relapse in two years. Patients were clinically and molecular pathologically characterized. Tumor tissues were immunohistochemically analyzed for the expression of Ki67, CD45, CD4, CD8, PD1, PD-L1, PD-L2 and CD34, by Nanostring nCounter PanCancer Immune Profiling Panel as well as a comprehensive methylome profiling using the Infinium MethylationEPIC BeadChip. We detected differential DNA methylation patterns as well as significantly differentially expressed genes associated with an early relapse after complete resection. Especially, CD1A was identified as a potential biomarker, whose reduced expression is associated with an early relapse. These findings might help to develop biomarkers improving risk assessment and patient selection for adjuvant therapy as well as establish novel targeted therapeutic strategies.
format article
author Helen Pasternack
Christiane Kuempers
Mario Deng
Iris Watermann
Till Olchers
Mark Kuehnel
Danny Jonigk
Christian Kugler
Florian Stellmacher
Torsten Goldmann
Jutta Kirfel
Ole Ammerpohl
Sven Perner
Martin Reck
author_facet Helen Pasternack
Christiane Kuempers
Mario Deng
Iris Watermann
Till Olchers
Mark Kuehnel
Danny Jonigk
Christian Kugler
Florian Stellmacher
Torsten Goldmann
Jutta Kirfel
Ole Ammerpohl
Sven Perner
Martin Reck
author_sort Helen Pasternack
title Identification of molecular signatures associated with early relapse after complete resection of lung adenocarcinomas
title_short Identification of molecular signatures associated with early relapse after complete resection of lung adenocarcinomas
title_full Identification of molecular signatures associated with early relapse after complete resection of lung adenocarcinomas
title_fullStr Identification of molecular signatures associated with early relapse after complete resection of lung adenocarcinomas
title_full_unstemmed Identification of molecular signatures associated with early relapse after complete resection of lung adenocarcinomas
title_sort identification of molecular signatures associated with early relapse after complete resection of lung adenocarcinomas
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/9ff870a588214cb1a79a0bb41e304374
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