Evidence map›Paper›PMID 40083875›Full record

ArticleFrontiers in oncology2025

Detection of radiosensitive subpopulations

Aidan D Meade, Adrian Maguire, Jane Bryant, Daniel Cullen, Dinesh Medipally, Lisa White, John Armstrong, Mary Dunne, Emma Noone, Shirley Bradshaw and 4 more

Abstract read
In one paragraph

Article in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

14 authors.

Aidan D MeadeSchool of Physics, Clinical and Optometric Sciences, Technological University Dublin, Dublin, Ireland.
Adrian MaguireSchool of Physics, Clinical and Optometric Sciences, Technological University Dublin, Dublin, Ireland.
Jane BryantRadiation and Environmental Science Centre (RESC), Physical to Life Sciences Research Hub, FOCAS Building, Technological University Dublin, Dublin, Ireland.
Daniel CullenRadiation and Environmental Science Centre (RESC), Physical to Life Sciences Research Hub, FOCAS Building, Technological University Dublin, Dublin, Ireland.
Dinesh MedipallySchool of Physics, Clinical and Optometric Sciences, Technological University Dublin, Dublin, Ireland.
Lisa WhiteRadiation and Environmental Science Centre (RESC), Physical to Life Sciences Research Hub, FOCAS Building, Technological University Dublin, Dublin, Ireland.
John ArmstrongDepartment of Radiation Oncology, Saint Luke's Radiation Oncology Network (SLRON), St Luke's Hospital, Dublin, Ireland.
Mary DunneDepartment of Radiation Oncology, Saint Luke's Radiation Oncology Network (SLRON), St Luke's Hospital, Dublin, Ireland.
Emma NooneDepartment of Radiation Oncology, Saint Luke's Radiation Oncology Network (SLRON), St Luke's Hospital, Dublin, Ireland.
Shirley BradshawDepartment of Radiation Oncology, Saint Luke's Radiation Oncology Network (SLRON), St Luke's Hospital, Dublin, Ireland.
Marie FinnDepartment of Radiation Oncology, Saint Luke's Radiation Oncology Network (SLRON), St Luke's Hospital, Dublin, Ireland.
Aoife M ShannonCancer Trials Ireland, Dublin, Ireland.
Orla L HoweRadiation and Environmental Science Centre (RESC), Physical to Life Sciences Research Hub, FOCAS Building, Technological University Dublin, Dublin, Ireland.
Fiona M LyngSchool of Physics, Clinical and Optometric Sciences, Technological University Dublin, Dublin, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although significant advances in understanding the molecular drivers of acquired and inherited radiosensitivity have occurred in recent decades, a single analytical method which can detect and classify radiosensitivity remains elusive. Raman microspectroscopy has demonstrated capabilities in the objective classification of various diseases, and more recently in the detection and modelling of radiobiological effect. In this study, Raman spectroscopy is presented as a potential tool for the detection of radiosensitivity subpopulations represented by four lymphoblastoid cell lines derived from individuals with ataxia telangiectasia (2 lines), non-Hodgkins lymphoma, and Turner's syndrome. These are classified with respect to a population with mixed radiosensitivity, represented by lymphocytes drawn from both healthy controls, and prostate cancer patients. Raman spectroscopic measurements were made

Indexed as

ataxia telangiectasianon-Hogkin’s lymphomaprincipal components analysisradiosensitivitysupport vector machineTurner’s syndromeuniversal manifold approximation and projectionvibrational spectroscopy

Identifiers

PMID40083875
PMCPMC11903398

What OpenQuestion holds

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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.