Evidence map›Paper›PMID 41922493›Full record

ArticleCommunications medicine2026

Longitudinal plasma nano-proteomics reveals acute systemic responses to radiotherapy and predictive biomarkers of late toxicity.

Hanan Abumanhal-Masarweh, Salam A Assi, Xinming Liu, Conrado Guerrero Quiles, Taha Lodhi, Kaye J Williams, Eleanor J Cheadle, Kostas Kostarelos, Ananya Choudhury, David C Wedge and 2 more

Abstract read
In one paragraph

Article in Communications medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

12 authors.

Hanan Abumanhal-MasarwehNanoOmics Lab, Centre for Nanotechnology in Medicine, Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.
Salam A AssiWedge Group, Manchester Cancer Research Centre, The University of Manchester, Manchester, UK.ORCID http://orcid.org/0000-0001-5634-1347
Xinming LiuNanoOmics Lab, Centre for Nanotechnology in Medicine, Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.ORCID http://orcid.org/0000-0001-8809-3907
Conrado Guerrero QuilesTranslational Radiobiology Group, Division of Cancer Sciences and the Christie NHS Foundation Trust, Manchester Cancer Research Centre (MCRC), University of Manchester, Manchester, UK.ORCID http://orcid.org/0000-0002-9348-3130
Taha LodhiTranslational Radiobiology Group, Division of Cancer Sciences and the Christie NHS Foundation Trust, Manchester Cancer Research Centre (MCRC), University of Manchester, Manchester, UK.ORCID http://orcid.org/0000-0002-6891-0866
Kaye J WilliamsDivision of Pharmacy and Optometry, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.ORCID http://orcid.org/0000-0001-7708-3770
Eleanor J CheadleTargeted Therapy Group, Division of Cancer Sciences, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK.
Kostas KostarelosNanomedicine Lab, Catalan Institute of Nanoscience and Nanotechnology (ICN2), CSIC and BIST, Campus UAB, Barcelona, Spain.ORCID http://orcid.org/0000-0002-2224-6672
Ananya ChoudhuryTranslational Radiobiology Group, Division of Cancer Sciences and the Christie NHS Foundation Trust, Manchester Cancer Research Centre (MCRC), University of Manchester, Manchester, UK.
David C WedgeWedge Group, Manchester Cancer Research Centre, The University of Manchester, Manchester, UK.ORCID http://orcid.org/0000-0002-7572-3196
Catharine M L WestTranslational Radiobiology Group, Division of Cancer Sciences and the Christie NHS Foundation Trust, Manchester Cancer Research Centre (MCRC), University of Manchester, Manchester, UK.ORCID http://orcid.org/0000-0002-0839-3449
Marilena HadjidemetriouNanoOmics Lab, Centre for Nanotechnology in Medicine, Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK. marilena.hadjidemetriou@manchester.ac.uk.ORCID http://orcid.org/0000-0003-4720-2112

Funding

Cancer Research UK (CRUK) C1994/A28701DH | National Institute for Health Research (NIHR) NIHR203308
6 · The paper itself

Abstract

backgroundRadiotherapy induces systemic changes beyond the targeted tumour site, yet the biological mechanisms driving these effects remain poorly understood. This study aims to longitudinally profile acute systemic plasma proteomic responses to radiotherapy in patients with prostate, bladder, and head and neck cancers, providing insight into shared and tumour-specific effects and identifying biomarkers predictive of treatment-related toxicities.

methodsWe apply our previously developed Nano-proteomics workflow to comprehensively analyse longitudinal weekly plasma samples collected before and during radiotherapy. We perform mass spectrometry-based differential protein analysis to identify acute changes of the plasma proteome and enriched biological pathways involved. In the prostate cohort, we associate plasma proteomics with clinical toxicity outcomes.

resultsOur data indicate that the most significant systemic proteomic changes occur within the first two weeks of radiotherapy, highlighting a critical period for biomarker identification. Across all patient cohorts, we observe common biological responses: rapid activation of inflammatory and immune pathways, followed by structural reorganisation and immune resolution, regardless of tumour type or concurrent treatments. Despite this shared acute response, distinct protein mediators are found to be dysregulated in a tumour-specific manner. In the prostate cancer cohort, plasma profiling at baseline, one week after the initiation of radiotherapy, and at the end of radiotherapy,  results in the identification of 28, 29, and 20 proteins, respectively, that are associated with subsequent bowel and urinary toxicities.

conclusionsThis study underscores the value of longitudinal proteomics in uncovering systemic effects of radiotherapy and supports the potential of plasma proteomic biomarkers to identify patients at increased risk of radiotherapy-induced toxicity, paving the way for personalised treatment strategies.

Identifiers

PMID41922493
PMCPMC13212878

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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.