Evidence map›Paper›PMID 40410530›Full record

ArticleCommunications medicine2025

Detection of p53 aggregates in plasma of glioma patients.

Yunzhao Wu, Jeff Y L Lam, Matthaios Pitoulias, Dorothea Böken, Ziwei Zhang, Renuka Chintapalli, Emre Fertan, Zengjie Xia, John S H Danial, Gemma Tsang-Pells and 5 more

Abstract read
In one paragraph

Article in Communications medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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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

15 authors.

Yunzhao WuYusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, UK.
Jeff Y L LamYusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0001-7408-2342
Matthaios PitouliasDepartment of Clinical Neurosciences, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0002-9814-0604
Dorothea BökenYusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0009-0008-8443-4469
Ziwei ZhangYusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, UK.
Renuka ChintapalliDepartment of Clinical Neurosciences, University of Cambridge, Cambridge, UK.
Emre FertanYusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0002-0060-5806
Zengjie XiaYusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, UK.
John S H DanialYusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, UK.
Gemma Tsang-PellsDepartment of Clinical Neurosciences, University of Cambridge, Cambridge, UK.
Emily FyshDepartment of Clinical Neurosciences, University of Cambridge, Cambridge, UK.
Linda JulianYusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, UK.
Kevin M BrindleCancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK.
Richard MairDepartment of Clinical Neurosciences, University of Cambridge, Cambridge, UK. Richard.Mair@cruk.cam.ac.uk.ORCID http://orcid.org/0000-0001-8235-5689
David KlenermanYusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, UK. dk10012@cam.ac.uk.ORCID http://orcid.org/0000-0001-7116-6954

Funding

Cancer Research UK (CRUK) EDDPMA-May23/100016
6 · The paper itself

Abstract

backgroundThe tumour-suppressor protein p53 can form amyloid aggregates resulting in loss of tumour-suppressing functions and leading to tumour formation. The detection of p53 aggregates in cancer cells has been demonstrated but these aggregates have not been detected in liquid biopsies to date, due to the lack of sufficiently sensitive methods.

methodsWe developed an ultrasensitive immunoassay based on the single-molecule array (SiMoA) technology to detect p53 aggregates in plasma, based on antibody capture of the aggregates. We confirmed that the assay detects p53 aggregates using super-resolution imaging. We then investigated the p53 aggregate concentrations in the plasma of 190 pre-surgery glioblastoma (GB) patients and 22 controls using this assay.

resultsWe found that the plasma p53 aggregate levels are significantly elevated in pre-surgery GB patients' plasma compared to controls. Longitudinal study further reveals that p53 aggregate levels may increase before GB recurrence and decrease following treatment. We also observed raised p53 aggregate concentrations in the plasma of cancer patients with brain metastases.

conclusionsThis study demonstrates the detection of p53 aggregates in liquid biopsies. Our findings highlight the potential of p53 aggregates as a novel biomarker for glioblastoma.

Identifiers

PMID40410530
PMCPMC12102397

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.