Evidence map›Paper›PMID 37166147›Full record

ArticleThe Analyst2023

Understanding radiation response and cell cycle variation in brain tumour cells using Raman spectroscopy.

Iona E Hill, Marie Boyd, Kirsty Milligan, Cerys A Jenkins, Annette Sorensen, Andrew Jirasek, Duncan Graham, Karen Faulds

Open access · hybridAbstract read
In one paragraph

Article in The Analyst, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
8.2field-weighted citation impact, top 3% of its field
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

10 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Detection of radiosensitive subpopulationsFrontiers in oncology · 2025
    Article
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  8. 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

8 authors at 3 institutions in 2 countries.

Iona E HillCentre for Molecular Nanometrology, Department of Pure and Applied Chemistry, Technology and Innovation Centre, University of Strathclyde, 99 George Street, Glasgow, G1 1RD, UK. karen.faulds@strath.ac.uk.ORCID http://orcid.org/0000-0002-4772-7149
Marie BoydStrathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow, G1 1XQ, UK.
Kirsty MilliganDepartment of Physics, The University of British Columbia, Kelowna, Canada.ORCID http://orcid.org/0000-0001-7089-9304
Cerys A JenkinsSwansea University Medical School, Swansea University, Singleton Park, Swansea, SA2 8PP, UK.ORCID http://orcid.org/0000-0002-3719-7463
Annette SorensenStrathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow, G1 1XQ, UK.
Andrew JirasekDepartment of Physics, The University of British Columbia, Kelowna, Canada.ORCID http://orcid.org/0000-0003-0844-2092
Duncan GrahamCentre for Molecular Nanometrology, Department of Pure and Applied Chemistry, Technology and Innovation Centre, University of Strathclyde, 99 George Street, Glasgow, G1 1RD, UK. karen.faulds@strath.ac.uk.ORCID http://orcid.org/0000-0002-6079-2105
Karen FauldsCentre for Molecular Nanometrology, Department of Pure and Applied Chemistry, Technology and Innovation Centre, University of Strathclyde, 99 George Street, Glasgow, G1 1RD, UK. karen.faulds@strath.ac.uk.ORCID http://orcid.org/0000-0002-5567-7399
University of Strathclyde · GBUniversity of British Columbia · CASwansea University · GB

Funding

National Centre for the Replacement, Refinement and Reduction of Animals in Research NC/W001055/1
6 · The paper itself

Abstract

Radiation therapy is currently utilised in the treatment of approximately 50% of cancer patients. A move towards patient tailored radiation therapy would help to improve the treatment outcome for patients as the inter-patient and intra-patient heterogeneity of cancer leads to large differences in treatment responses. In radiation therapy, a typical treatment outcome is cell cycle arrest which leads to cell cycle synchronisation. As treatment is typically given over multiple fractions it is important to understand how variation in the cell cycle can affect treatment response. Raman spectroscopy has previously been assessed as a method for monitoring radiation response in cancer cells and has shown promise in detecting the subtle biochemical changes following radiation exposure. This study evaluated Raman spectroscopy as a potential tool for monitoring cellular response to radiation in synchronised

Indexed as

Brain NeoplasmsSpectrum Analysis, RamanCell CycleCell Line, TumorHumans

Identifiers

PMID37166147
PMCPMC10228487
OpenAlexW4367662517

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.