Evidence map›Paper›PMID 39132508›Full record

ReviewFrontiers in oncology2024

Genetic profiling in radiotherapy: a comprehensive review.

Dino Rubini, Federico Gagliardi, Vittorio Salvatore Menditti, Luca D'Ambrosio, Paolo Gallo, Ida D'Onofrio, Antonio Rosario Pisani, Angela Sardaro, Giuseppe Rubini, Salvatore Cappabianca and 2 more

Abstract readReview
In one paragraph

Review in Frontiers in oncology, 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. The Mevalonate Pathway in the Radiation Response of Cancer.International journal of radiation oncology, biology, physics · 2025
    Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Uncertainties in outcome modelling in radiation oncology.Physics and imaging in radiation oncology · 2025
    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

12 authors.

Dino RubiniDepartment of Precision Medicine, University of Campania "L. Vanvitelli", Naples, Italy.
Federico GagliardiDepartment of Precision Medicine, University of Campania "L. Vanvitelli", Naples, Italy.
Vittorio Salvatore MendittiDepartment of Precision Medicine, University of Campania "L. Vanvitelli", Naples, Italy.
Luca D'AmbrosioDepartment of Precision Medicine, University of Campania "L. Vanvitelli", Naples, Italy.
Paolo GalloDepartment of Precision Medicine, University of Campania "L. Vanvitelli", Naples, Italy.
Ida D'OnofrioDepartment of Precision Medicine, University of Campania "L. Vanvitelli", Naples, Italy.
Antonio Rosario PisaniInterdisciplinary Department of Medicine, University of Bari 'Aldo Moro', Bari, Italy.
Angela SardaroInterdisciplinary Department of Medicine, University of Bari 'Aldo Moro', Bari, Italy.
Giuseppe RubiniInterdisciplinary Department of Medicine, University of Bari 'Aldo Moro', Bari, Italy.
Salvatore CappabiancaDepartment of Precision Medicine, University of Campania "L. Vanvitelli", Naples, Italy.
Valerio Nardone *Department of Precision Medicine, University of Campania "L. Vanvitelli", Naples, Italy.
Alfonso Reginelli *Department of Precision Medicine, University of Campania "L. Vanvitelli", Naples, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This comprehensive review explores the pivotal role of radiotherapy in cancer treatment, emphasizing the diverse applications of genetic profiling. The review highlights genetic markers for predicting radiation toxicity, enabling personalized treatment planning. It delves into the impact of genetic profiling on radiotherapy strategies across various cancer types, discussing research findings related to treatment response, prognosis, and therapeutic resistance. The integration of genetic profiling is shown to transform cancer treatment paradigms, offering insights into personalized radiotherapy regimens and guiding decisions in cases where standard protocols may fall short. Ultimately, the review underscores the potential of genetic profiling to enhance patient outcomes and advance precision medicine in oncology.

Indexed as

genomic profilingprofilingradiation oncology (RO)radiogenomicsradiotherapy

Identifiers

PMID39132508
PMCPMC11310144

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.