Platelet PD-L1 reflects collective intratumoral PD-L1 expression and predicts immunotherapy response in non-small cell lung cancer
The definition of biomarkers to predict therapy responses to immune-checkpoint inhibitors represent an unmet clinical need. Here the authors provide evidences that platelet-derived PD-L1 could serve as a prognostic and predictive biomarker in patients with non-small cell lung cancer.
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Nature Portfolio
2021
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oai:doaj.org-article:667bac11196140cc814118dc5b22f2f32021-12-05T12:22:31ZPlatelet PD-L1 reflects collective intratumoral PD-L1 expression and predicts immunotherapy response in non-small cell lung cancer10.1038/s41467-021-27303-72041-1723https://doaj.org/article/667bac11196140cc814118dc5b22f2f32021-12-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-27303-7https://doaj.org/toc/2041-1723The definition of biomarkers to predict therapy responses to immune-checkpoint inhibitors represent an unmet clinical need. Here the authors provide evidences that platelet-derived PD-L1 could serve as a prognostic and predictive biomarker in patients with non-small cell lung cancer.Clemens HinterleitnerJasmin SträhleElke MalenkeMartina HinterleitnerMelanie HenningMarco SeehawerTatjana BilichJonas HeitmannMartina LutzSven MatternSophia ScheuermannMarius HorgerStefanie MaurerJuliane WalzFalko FendRupert HandgretingerChristian SeitzBettina WeigelinStephan SingerHelmut SalihOliver BorstHans-Georg KoppLars ZenderNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-16 (2021) |
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Science Q |
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Science Q Clemens Hinterleitner Jasmin Strähle Elke Malenke Martina Hinterleitner Melanie Henning Marco Seehawer Tatjana Bilich Jonas Heitmann Martina Lutz Sven Mattern Sophia Scheuermann Marius Horger Stefanie Maurer Juliane Walz Falko Fend Rupert Handgretinger Christian Seitz Bettina Weigelin Stephan Singer Helmut Salih Oliver Borst Hans-Georg Kopp Lars Zender Platelet PD-L1 reflects collective intratumoral PD-L1 expression and predicts immunotherapy response in non-small cell lung cancer |
description |
The definition of biomarkers to predict therapy responses to immune-checkpoint inhibitors represent an unmet clinical need. Here the authors provide evidences that platelet-derived PD-L1 could serve as a prognostic and predictive biomarker in patients with non-small cell lung cancer. |
format |
article |
author |
Clemens Hinterleitner Jasmin Strähle Elke Malenke Martina Hinterleitner Melanie Henning Marco Seehawer Tatjana Bilich Jonas Heitmann Martina Lutz Sven Mattern Sophia Scheuermann Marius Horger Stefanie Maurer Juliane Walz Falko Fend Rupert Handgretinger Christian Seitz Bettina Weigelin Stephan Singer Helmut Salih Oliver Borst Hans-Georg Kopp Lars Zender |
author_facet |
Clemens Hinterleitner Jasmin Strähle Elke Malenke Martina Hinterleitner Melanie Henning Marco Seehawer Tatjana Bilich Jonas Heitmann Martina Lutz Sven Mattern Sophia Scheuermann Marius Horger Stefanie Maurer Juliane Walz Falko Fend Rupert Handgretinger Christian Seitz Bettina Weigelin Stephan Singer Helmut Salih Oliver Borst Hans-Georg Kopp Lars Zender |
author_sort |
Clemens Hinterleitner |
title |
Platelet PD-L1 reflects collective intratumoral PD-L1 expression and predicts immunotherapy response in non-small cell lung cancer |
title_short |
Platelet PD-L1 reflects collective intratumoral PD-L1 expression and predicts immunotherapy response in non-small cell lung cancer |
title_full |
Platelet PD-L1 reflects collective intratumoral PD-L1 expression and predicts immunotherapy response in non-small cell lung cancer |
title_fullStr |
Platelet PD-L1 reflects collective intratumoral PD-L1 expression and predicts immunotherapy response in non-small cell lung cancer |
title_full_unstemmed |
Platelet PD-L1 reflects collective intratumoral PD-L1 expression and predicts immunotherapy response in non-small cell lung cancer |
title_sort |
platelet pd-l1 reflects collective intratumoral pd-l1 expression and predicts immunotherapy response in non-small cell lung cancer |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/667bac11196140cc814118dc5b22f2f3 |
work_keys_str_mv |
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