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Longitudinal plasma nano-proteomics reveals acute systemic responses to radiotherapy and predictive biomarkers of late toxicity
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  • Published: 01 April 2026

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

  • Hanan Abumanhal-Masarweh1,
  • Salam A. Assi  ORCID: orcid.org/0000-0001-5634-13472,3,
  • Xinming Liu  ORCID: orcid.org/0000-0001-8809-39071,
  • Conrado Guerrero Quiles  ORCID: orcid.org/0000-0002-9348-31304,
  • Taha Lodhi  ORCID: orcid.org/0000-0002-6891-08664,
  • Kaye J. Williams  ORCID: orcid.org/0000-0001-7708-37705,
  • Eleanor J. Cheadle6,
  • Kostas Kostarelos  ORCID: orcid.org/0000-0002-2224-66727,8,9,
  • Ananya Choudhury4,
  • David C. Wedge  ORCID: orcid.org/0000-0002-7572-31962,3,
  • Catharine M. L. West  ORCID: orcid.org/0000-0002-0839-34494 &
  • …
  • Marilena Hadjidemetriou  ORCID: orcid.org/0000-0003-4720-21121 

Communications Medicine , Article number:  (2026) Cite this article

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Radiotherapy
  • Tumour biomarkers

Abstract

Background

Radiotherapy 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.

Methods

We 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.

Results

Our 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.

Conclusions

This 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.

Plain language summary

Radiotherapy targets tumour cells but also triggers systemic effects beyond the irradiated site. To characterise these responses, we analysed blood samples from patients with prostate, bladder, and head and neck cancers collected before and during treatment. Using a nanoparticle-enabled proteomics workflow, we profiled weekly changes in circulating proteins and observed the strongest systemic alterations within the first two weeks of radiotherapy. While many systemic responses were shared across cancer types, tumour-specific patterns also emerged. In the prostate cancer cohort, longitudinal plasma profiles revealed proteins linked to later bowel and urinary toxicities, suggesting potential predictive biomarkers. Overall, our findings underscore the systemic nature of radiotherapy and highlight longitudinal plasma proteomics as a valuable tool for biomarker discovery and personalised treatment.

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Data availability

The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium via the PRIDE [1] partner repository with the dataset identifier PXD071492 and 10.6019/PXD071492. The source data for Fig. 3(a-b), Fig. 4g–I and for the supporting Figures S1b, S2b, S3a–c, and S5a are provided in Supplementary Data set 2.

Code availability

The underlying code for this study is available at https://github.com/assisalam/nanoOmic/ [github.com]. Computational method summary table is provided in Supplementary Data 5.

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Acknowledgements

The clinical research was carried out at the National Institute for Health and Care Research (NIHR) Manchester Biomedical Research Centre (BRC) (NIHR203308). The proteomic analyses and DCW were supported by Cancer Research UK RadNet Manchester [C1994/A28701]. We thank the Faculty of Biology, Medicine and Health, University of Manchester Biological Mass Spectrometry Facility (Bio-MS) staff for their support. We thank the Manchester Cancer Research Centre biobank (MCRC biobank). E.C., CGQ & DCW are funded by the NIHR Biomedical Research Centre (NIHR203308). A.C. and C.W. are supported by the NIHR Manchester Biomedical Research Centre. We would like to thank the research nurse team at the Christie Hospital.

Author information

Authors and Affiliations

  1. NanoOmics 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

    Hanan Abumanhal-Masarweh, Xinming Liu & Marilena Hadjidemetriou

  2. Wedge Group, Manchester Cancer Research Centre, The University of Manchester, Manchester, UK

    Salam A. Assi & David C. Wedge

  3. NIHR Manchester Biomedical Research Centre, Manchester, UK

    Salam A. Assi & David C. Wedge

  4. Translational Radiobiology Group, Division of Cancer Sciences and the Christie NHS Foundation Trust, Manchester Cancer Research Centre (MCRC), University of Manchester, Manchester, UK

    Conrado Guerrero Quiles, Taha Lodhi, Ananya Choudhury & Catharine M. L. West

  5. Division of Pharmacy and Optometry, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK

    Kaye J. Williams

  6. Targeted Therapy Group, Division of Cancer Sciences, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK

    Eleanor J. Cheadle

  7. Nanomedicine Lab, Catalan Institute of Nanoscience and Nanotechnology (ICN2), CSIC and BIST, Campus UAB, Barcelona, Spain

    Kostas Kostarelos

  8. Institute of Neuroscience, Universitat Autònoma de Barcelona, Barcelona, Spain

    Kostas Kostarelos

  9. Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain

    Kostas Kostarelos

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  1. Hanan Abumanhal-Masarweh
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Contributions

H.Ab. initiated and performed the proteomic experiments, analysed the data, and wrote the manuscript. S.A., X.L., and C.G. contributed to the proteomics data analysis. E.Ch. and T.L. provided clinical samples and clinical information. C.W. designed and was Chief Investigator of the clinical study. A.C. was involved in patient recruitment. K.J.W., E.C., K.K., A.C., D.W., and C.W. supervised the work and contributed to the design of the study, interpretation of the data and the revising of the manuscript. M.H. contributed to the conceptualization of the study, designed the experiments, supervised the execution of the proteomics experimental work and data analysis, contributed to the interpretation of the data, and prepared and reviewed the manuscript.

Corresponding author

Correspondence to Marilena Hadjidemetriou.

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Communications Medicine thanks Karol Jelonek, Javier F. Torres-Roca and the other anonymous reviewer(s) for their contribution to the peer review of this work.

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Abumanhal-Masarweh, H., Assi, S.A., Liu, X. et al. Longitudinal plasma nano-proteomics reveals acute systemic responses to radiotherapy and predictive biomarkers of late toxicity. Commun Med (2026). https://doi.org/10.1038/s43856-026-01552-3

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  • Received: 14 August 2025

  • Accepted: 09 March 2026

  • Published: 01 April 2026

  • DOI: https://doi.org/10.1038/s43856-026-01552-3

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