Evidence map›Paper›PMID 33597530›Full record

ArticleNature communications2021

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

Junrong Li, Alain Wuethrich, Abu A I Sina, Han-Hao Cheng, Yuling Wang, Andreas Behren, Paul N Mainwaring, Matt Trau

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
8.0field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

36 citing papers in PubMed, 138 citations in OpenAlex.

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  10. Engineering nanopore in monolayer WSScience advances · 2025
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  13. Engineering the Immune Response to Biomaterials.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Junrong LiCentre for Personalised Nanomedicine, Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, QLD, Australia.ORCID 0000-0002-3777-2245
Alain WuethrichCentre for Personalised Nanomedicine, Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, QLD, Australia. a.wuethrich@uq.edu.au.ORCID 0000-0001-9569-0478
Abu A I SinaCentre for Personalised Nanomedicine, Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, QLD, Australia.ORCID 0000-0001-8099-3863
Han-Hao ChengCentre for Microscopy and Microanalysis, The University of Queensland, Brisbane, QLD, Australia.ORCID 0000-0002-4663-5111
Yuling WangDepartment of Molecular Sciences, ARC Centre of Excellence for Nanoscale BioPhotonics, Faculty of Science and Engineering, Macquarie University, Sydney, NSW, Australia. yuling.wang@mq.edu.au.ORCID 0000-0003-3627-7397
Andreas BehrenOliva Newton-John Cancer Research Institute, School of Cancer Medicine, La Trobe University, Heidelberg, VIC, Australia.ORCID 0000-0001-5329-280X
Paul N MainwaringCentre for Personalised Nanomedicine, Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, QLD, Australia.
Matt TrauCentre for Personalised Nanomedicine, Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, QLD, Australia. m.trau@uq.edu.au.ORCID 0000-0001-5516-1280
The University of Queensland · AUMacquarie University · AUThe University of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Chemokine CX3CL1Cohort StudiesCytokinesGranulocyte Colony-Stimulating FactorGranulocyte-Macrophage Colony-Stimulating FactorHumansImmune Checkpoint InhibitorsImmunotherapyIpilimumabMelanomaMicroscopy, ConfocalMonitoring, ImmunologicPilot ProjectsReproducibility of ResultsSpectrum Analysis, RamanChemokine CX3CL1CytokinesGranulocyte Colony-Stimulating FactorGranulocyte-Macrophage Colony-Stimulating FactorImmune Checkpoint InhibitorsIpilimumab

Identifiers

PMID33597530
PMCPMC7889912
OpenAlexW3133408183

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.