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A digital single-molecule nanopillar SERS platform for predicting and monitoring immune toxicities in immunotherapy

The introduction of immune checkpoint inhibitors has demonstrated significant improvements in survival for subsets of cancer patients. However, they carry significant and sometimes life-threatening toxicities. Prompt prediction and monitoring of immune toxicities have the potential to maximise the b...

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Autores principales: Li, Junrong, Wuethrich, Alain, Sina, Abu A. I., Cheng, Han-Hao, Wang, Yuling, Behren, Andreas, Mainwaring, Paul N., Trau, Matt
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7889912/
https://www.ncbi.nlm.nih.gov/pubmed/33597530
http://dx.doi.org/10.1038/s41467-021-21431-w
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author Li, Junrong
Wuethrich, Alain
Sina, Abu A. I.
Cheng, Han-Hao
Wang, Yuling
Behren, Andreas
Mainwaring, Paul N.
Trau, Matt
author_facet Li, Junrong
Wuethrich, Alain
Sina, Abu A. I.
Cheng, Han-Hao
Wang, Yuling
Behren, Andreas
Mainwaring, Paul N.
Trau, Matt
author_sort Li, Junrong
collection PubMed
description The introduction of immune checkpoint inhibitors has demonstrated significant improvements in survival for subsets of cancer patients. However, they carry significant and sometimes life-threatening toxicities. Prompt prediction and monitoring of immune toxicities have the potential to maximise the benefits of immune checkpoint therapy. Herein, we develop a digital nanopillar SERS platform that achieves real-time single cytokine counting and enables dynamic tracking of immune toxicities in cancer patients receiving immune checkpoint inhibitor treatment - broader applications are anticipated in other disease indications. By analysing four prospective cytokine biomarkers that initiate inflammatory responses, the digital nanopillar SERS assay achieves both highly specific and highly sensitive cytokine detection down to attomolar level. Significantly, we report the capability of the assay to longitudinally monitor 10 melanoma patients during immune inhibitor blockade treatment. Here, we show that elevated cytokine concentrations predict for higher risk of developing severe immune toxicities in our pilot cohort of patients.
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spelling pubmed-78899122021-03-03 A digital single-molecule nanopillar SERS platform for predicting and monitoring immune toxicities in immunotherapy Li, Junrong Wuethrich, Alain Sina, Abu A. I. Cheng, Han-Hao Wang, Yuling Behren, Andreas Mainwaring, Paul N. Trau, Matt Nat Commun Article The introduction of immune checkpoint inhibitors has demonstrated significant improvements in survival for subsets of cancer patients. However, they carry significant and sometimes life-threatening toxicities. Prompt prediction and monitoring of immune toxicities have the potential to maximise the benefits of immune checkpoint therapy. Herein, we develop a digital nanopillar SERS platform that achieves real-time single cytokine counting and enables dynamic tracking of immune toxicities in cancer patients receiving immune checkpoint inhibitor treatment - broader applications are anticipated in other disease indications. By analysing four prospective cytokine biomarkers that initiate inflammatory responses, the digital nanopillar SERS assay achieves both highly specific and highly sensitive cytokine detection down to attomolar level. Significantly, we report the capability of the assay to longitudinally monitor 10 melanoma patients during immune inhibitor blockade treatment. Here, we show that elevated cytokine concentrations predict for higher risk of developing severe immune toxicities in our pilot cohort of patients. Nature Publishing Group UK 2021-02-17 /pmc/articles/PMC7889912/ /pubmed/33597530 http://dx.doi.org/10.1038/s41467-021-21431-w Text en © The Author(s) 2021 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
Li, Junrong
Wuethrich, Alain
Sina, Abu A. I.
Cheng, Han-Hao
Wang, Yuling
Behren, Andreas
Mainwaring, Paul N.
Trau, Matt
A digital single-molecule nanopillar SERS platform for predicting and monitoring immune toxicities in immunotherapy
title A digital single-molecule nanopillar SERS platform for predicting and monitoring immune toxicities in immunotherapy
title_full A digital single-molecule nanopillar SERS platform for predicting and monitoring immune toxicities in immunotherapy
title_fullStr A digital single-molecule nanopillar SERS platform for predicting and monitoring immune toxicities in immunotherapy
title_full_unstemmed A digital single-molecule nanopillar SERS platform for predicting and monitoring immune toxicities in immunotherapy
title_short A digital single-molecule nanopillar SERS platform for predicting and monitoring immune toxicities in immunotherapy
title_sort digital single-molecule nanopillar sers platform for predicting and monitoring immune toxicities in immunotherapy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7889912/
https://www.ncbi.nlm.nih.gov/pubmed/33597530
http://dx.doi.org/10.1038/s41467-021-21431-w
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