Quantification of biomarker functionality predicts patient outcomes

Implementation of a quantitative molecular imaging method (iFRET), which determines receptor–ligand interactions, has led to the finding that patients with a low extent of PD-1/PD-L1 interaction in metastatic NSCLC, and malignant melanoma, display significantly worsened overall survival compared to...

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Detalles Bibliográficos
Autores principales: Larijani, Banafshé, Miles, James, Ward, Stephen G., Parker, Peter J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Comment
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8110543/
https://www.ncbi.nlm.nih.gov/pubmed/33723395
http://dx.doi.org/10.1038/s41416-021-01291-3
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author Larijani, Banafshé
Miles, James
Ward, Stephen G.
Parker, Peter J.
author_facet Larijani, Banafshé
Miles, James
Ward, Stephen G.
Parker, Peter J.
author_sort Larijani, Banafshé
collection PubMed
description Implementation of a quantitative molecular imaging method (iFRET), which determines receptor–ligand interactions, has led to the finding that patients with a low extent of PD-1/PD-L1 interaction in metastatic NSCLC, and malignant melanoma, display significantly worsened overall survival compared to those with a high level of interaction.
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spelling pubmed-81105432021-05-11 Quantification of biomarker functionality predicts patient outcomes Larijani, Banafshé Miles, James Ward, Stephen G. Parker, Peter J. Br J Cancer Comment Implementation of a quantitative molecular imaging method (iFRET), which determines receptor–ligand interactions, has led to the finding that patients with a low extent of PD-1/PD-L1 interaction in metastatic NSCLC, and malignant melanoma, display significantly worsened overall survival compared to those with a high level of interaction. Nature Publishing Group UK 2021-03-15 2021-05-11 /pmc/articles/PMC8110543/ /pubmed/33723395 http://dx.doi.org/10.1038/s41416-021-01291-3 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Comment
Larijani, Banafshé
Miles, James
Ward, Stephen G.
Parker, Peter J.
Quantification of biomarker functionality predicts patient outcomes
title Quantification of biomarker functionality predicts patient outcomes
title_full Quantification of biomarker functionality predicts patient outcomes
title_fullStr Quantification of biomarker functionality predicts patient outcomes
title_full_unstemmed Quantification of biomarker functionality predicts patient outcomes
title_short Quantification of biomarker functionality predicts patient outcomes
title_sort quantification of biomarker functionality predicts patient outcomes
topic Comment
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8110543/
https://www.ncbi.nlm.nih.gov/pubmed/33723395
http://dx.doi.org/10.1038/s41416-021-01291-3
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