Evidence map›Paper›PMID 42800813›Full record

ArticleBritish journal of cancer2026

A plasma derived hypoxia signature predicts benefit from hypoxia-modifying radiotherapy and reveals dynamic humoral immune modulation in bladder cancer.

C Guerrero Quiles, H Abumanhal-Masarweh, J G Abalos, T Lodhi, D Sanchez-Martinez, K Reeves, Nicholas D James, Emma Hall, Robert A Huddart, Nuria Porta and 5 more

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Article in British journal of cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

15 authors.

C Guerrero QuilesTranslational Radiobiology Group, Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Oglesby Cancer Research Centre, Manchester, UK. conrado.guerreroquiles@manchester.ac.uk.ORCID http://orcid.org/0000-0002-9348-3130
H 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.
J G AbalosTranslational Radiobiology Group, Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Oglesby Cancer Research Centre, Manchester, UK.
T LodhiTranslational Radiobiology Group, Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Oglesby Cancer Research Centre, Manchester, UK.
D Sanchez-MartinezTranslational Oncogenomics Group, Manchester Cancer Research Centre Manchester Institute, Manchester, UK.
K ReevesTranslational Radiobiology Group, Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Oglesby Cancer Research Centre, Manchester, UK.
Nicholas D JamesThe Institute of Cancer Research, London, UK.
Emma HallThe Institute of Cancer Research, London, UK.ORCID http://orcid.org/0000-0001-5999-5020
Robert A HuddartThe Institute of Cancer Research, London, UK.ORCID http://orcid.org/0000-0003-3604-1990
Nuria PortaThe Institute of Cancer Research, London, UK.
P HoskinTranslational Radiobiology Group, Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Oglesby Cancer Research Centre, Manchester, UK.ORCID http://orcid.org/0000-0001-8323-9567
L V BiolattiTranslational Radiobiology Group, Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Oglesby Cancer Research Centre, Manchester, UK.
M 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.
C M WestTranslational Radiobiology Group, Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Oglesby Cancer Research Centre, Manchester, UK.ORCID http://orcid.org/0000-0002-0839-3449
A ChoudhuryTranslational Radiobiology Group, Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Oglesby Cancer Research Centre, Manchester, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionHypoxia is a hallmark of solid tumours and drives radioresistance, yet no hypoxia biomarkers are used clinically. We explored nanoproteomics to identify a plasma protein signature for longitudinal non-invasive hypoxia monitoring.

methodsTwenty-three bladder cancer patients (T2-T3b) undergoing radiotherapy (55 Gy, 4 weeks) were prospectively enroled. Plasma was collected at baseline and weekly, nanoparticle-enriched and analysed by proteomics. Hypoxia scores (HS) were derived from diagnostic biopsies using a validated 24-gene signature, and patients stratified by median HS.

resultsWe identified 115 differentially abundant proteins (DAPs; |FC | > 1.5; p < 0.05). Seven DAPs (IGKV3, IGLV2-18, VL_4, VL_7, FN1, IGLV2-14, CAMP) correlated with HS across multiple timepoints (p < 0.05; |r | >0.4). A two-protein signature (FN1, CAMP) was retrospectively validated, showing prognostic value in TCGA-BLCA (n = 404; HR = 1.54; CI = 1.12-2.13; p = 0.009), BC2001 (n = 313; HR = 1.42; CI = 1.08-1.86; p = 0.011) and in meta-analysis (n = 150; HR = 1.48; CI = 1.23-1.78; p < 0.001). In BCON (n = 150), it predicted benefit from hypoxia-modifying therapy (HR = 0.60; CI = 0.34-1.06; p = 0.079). The 115 DAPs formed five temporal co-expression clusters peaking at successive treatment weeks. Clusters were enriched for humoral immune pathways, with one linked to extracellular matrix remodelling.

conclusionThese findings support the use of low abundance plasma biomarkers for real-time hypoxia stratification, revealing dynamic immune responses during radiotherapy associated with hypoxia.

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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.