Evidence map›Paper›PMID 35565227›Full record

ReviewCancers2022

Improving Patients' Life Quality after Radiotherapy Treatment by Predicting Late Toxicities.

Ariane Lapierre, Laura Bourillon, Marion Larroque, Tiphany Gouveia, Céline Bourgier, Mahmut Ozsahin, André Pèlegrin, David Azria, Muriel Brengues

Abstract readReview
In one paragraph

Review in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Hype or hope? A review of challenges in balancing tumor control and treatment toxicity in breast cancer from the perspective of the radiation oncologist.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024
    Review
  12. Article
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

9 authors.

Ariane LapierreIRCM, INSERM, University Montpellier, ICM, 34298 Montpellier, France.
Laura BourillonIRCM, INSERM, University Montpellier, ICM, 34298 Montpellier, France.ORCID 0000-0003-2205-9196
Marion LarroqueIRCM, INSERM, University Montpellier, ICM, 34298 Montpellier, France.
Tiphany GouveiaIRCM, INSERM, University Montpellier, ICM, 34298 Montpellier, France.
Céline BourgierIRCM, INSERM, University Montpellier, ICM, 34298 Montpellier, France.
Mahmut OzsahinCHU Vaudois, 1011 Lausanne, Switzerland.
André PèlegrinIRCM, INSERM, University Montpellier, ICM, 34298 Montpellier, France.
David AzriaIRCM, INSERM, University Montpellier, ICM, 34298 Montpellier, France.
Muriel BrenguesIRCM, INSERM, University Montpellier, ICM, 34298 Montpellier, France.ORCID 0000-0003-4205-7200

Funding

SIRIC2 Montpellier INCa-DGOS-12553
6 · The paper itself

Abstract

Personalized treatment and precision medicine have become the new standard of care in oncology and radiotherapy. Because treatment outcomes have considerably improved over the last few years, permanent side-effects are becoming an increasingly significant issue for cancer survivors. Five to ten percent of patients will develop severe late toxicity after radiotherapy. Identifying these patients before treatment start would allow for treatment adaptation to minimize definitive side effects that could impair their long-term quality of life. Over the last decades, several tests and biomarkers have been developed to identify these patients. However, out of these, only the Radiation-Induced Lymphocyte Apoptosis (RILA) assay has been prospectively validated in multi-center cohorts. This test, based on a simple blood draught, has been shown to be correlated with late radiation-induced toxicity in breast, prostate, cervical and head and neck cancer. It could therefore greatly improve decision making in precision radiation oncology. This literature review summarizes the development and bases of this assay, as well as its clinical results and compares its results to the other available assays.

Indexed as

biomarkerslate toxicities predictionpersonalized treatmentradiotherapy

Identifiers

PMID35565227
PMCPMC9099838

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.