Evidence map›Paper›PMID 38778925›Full record

ReviewHeliyon2024

Non-targeted effects of radiation therapy for glioblastoma.

Lucie Lerouge, Aurélie Ruch, Julien Pierson, Noémie Thomas, Muriel Barberi-Heyob

Abstract readReview
In one paragraph

Review in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
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  6. Review
  7. Review
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

5 authors.

Lucie LerougeDepartment of Biology, Signals and Systems in Cancer and Neuroscience, CRAN, UMR7039, Université de Lorraine, CNRS, 54500 Vandœuvre-lès-Nancy, France.
Aurélie RuchDepartment of Biology, Signals and Systems in Cancer and Neuroscience, CRAN, UMR7039, Université de Lorraine, CNRS, 54500 Vandœuvre-lès-Nancy, France.
Julien PiersonDepartment of Biology, Signals and Systems in Cancer and Neuroscience, CRAN, UMR7039, Université de Lorraine, CNRS, 54500 Vandœuvre-lès-Nancy, France.
Noémie ThomasDepartment of Biology, Signals and Systems in Cancer and Neuroscience, CRAN, UMR7039, Université de Lorraine, CNRS, 54500 Vandœuvre-lès-Nancy, France.
Muriel Barberi-HeyobDepartment of Biology, Signals and Systems in Cancer and Neuroscience, CRAN, UMR7039, Université de Lorraine, CNRS, 54500 Vandœuvre-lès-Nancy, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Radiotherapy is recommended for the treatment of brain tumors such as glioblastoma (GBM) and brain metastases. Various curative and palliative scenarios suggest improved local-regional control. Although the underlying mechanisms are not yet clear, additional therapeutic effects have been described, including proximity and abscopal reactions at the treatment site. Clinical and preclinical data suggest that the immune system plays an essential role in regulating the non-targeted effects of radiotherapy for GBM. This article reviews current biological mechanisms for regulating the non-targeted effects caused by external and internal radiotherapy, and how they might be applied in a clinical context. Optimization of therapeutic regimens requires assessment of the complexity of the host immune system on the activity of immunosuppressive or immunostimulatory cells, such as glioma-associated macrophages and microglia. This article also discusses recent preclinical models adapted to post-radiotherapy responses. This narrative review explores and discusses the current status of immune responses both locally

Indexed as

Abscopal effectBystander effectGlioblastomaMacrophagesMicrogliaRadiotherapy

Identifiers

PMID38778925
PMCPMC11109805

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.