ReviewThe British journal of radiology2018
Radiation biology and oncology in the genomic era.
Review in The British journal of radiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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.
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.
Who cites it
17 citing papers in PubMed, 37 citations in OpenAlex.
- A genome-wide association study on radiation induced fibrosis in breast cancer patients.Clinical and translational radiation oncology · 2026Article
- From Semantic Modeling to Precision Radiotherapy: An AI Framework Linking Radiobiology, Oncology, and Public Health Integration.Biomedicines · 2025Review
- Low-Dose radiation risk in medicine: a look at risk models, challenges, and future prospects.Zeitschrift fur medizinische Physik · 2025Review
- The Significance of the Response: Beyond the Mechanics of DNA Damage and Repair-Physiological, Genetic, and Systemic Aspects of Radiosensitivity in Higher Organisms.International journal of molecular sciences · 2024Review
- A comparative study on the dose-effect of low-dose radiation based on microdosimetric analysis and single-cell sequencing technology.Scientific reports · 2024Article
- Uncovering the Genetic Etiology of the (Posttherapy) Broken Heart.Journal of the National Cancer Institute · 2022Article
- The Radiosensitivity Index Gene Signature Identifies Distinct Tumor Immune Microenvironment Characteristics Associated With Susceptibility to Radiation Therapy.International journal of radiation oncology, biology, physics · 2022Article
- Molecular Biology in Treatment Decision Processes-Neuro-Oncology Edition.International journal of molecular sciences · 2021Review
- Multi-Omics Approaches and Radiation on Lipid Metabolism in Toothed Whales.Life (Basel, Switzerland) · 2021Review
- A heterogeneous cellular response to ionizing radiation revealed by single cell transcriptome sequencing.American journal of cancer research · 2021Article
- Carbon Ion Radiobiology.Cancers · 2020Review
- Oncology Scan: Radiation Biology and Genomic Predictors of Response.International journal of radiation oncology, biology, physics · 2020Article
- Enhancing Career Paths for Tomorrow's Radiation Oncologists.International journal of radiation oncology, biology, physics · 2019Review
- Combining CDKN1A gene expression and genome-wide SNPs in a twin cohort to gain insight into the heritability of individual radiosensitivity.Functional & integrative genomics · 2019Article
- Risk Haplotypes Uniquely Associated with Radioiodine-Refractory Thyroid Cancer Patients of High African Ancestry.Thyroid : official journal of the American Thyroid Association · 2019Article
- Leukaemia risk associated with low-dose radiation.The Lancet. Haematology · 2018Article
- Survey of Radiation Oncologists to Assess Interest and Potential Use of a Genetic Test Predicting Susceptibility for the Development of Toxicities After Prostate Cancer Radiation Therapy.Advances in radiation oncologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 5 institutions in 2 countries.
Funding
Abstract
Radiobiology research is building the foundation for applying genomics in precision radiation oncology. Advances in high-throughput approaches will underpin increased understanding of radiosensitivity and the development of future predictive assays for clinical application. There is an established contribution of genetics as a risk factor for radiotherapy side effects. An individual's radiosensitivity is an inherited polygenic trait with an architecture that includes rare mutations in a few genes that confer large effects and common variants in many genes with small effects. Current thinking is that some will be tissue specific, and future tests will be tailored to the normal tissues at risk. The relationship between normal and tumor cell radiosensitivity is poorly understood. Data are emerging suggesting interplay between germline genetic variation and epigenetic modification with growing evidence that changes in DNA methylation regulate the radiosensitivity of cancer cells and histone acetyltransferase inhibitors have radiosensitizing effects. Changes in histone methylation can also impair DNA damage response signaling and alter radiosensitivity. An important effort to advance radiobiology in the genomic era was establishment of the Radiogenomics Consortium to enable the creation of the large radiotherapy cohorts required to exploit advances in genomics. To address challenges in harmonizing data from multiple cohorts, the consortium established the REQUITE project to collect standardized data and genotyping for ~5,000 patients. The collection of detailed dosimetric data is important to produce validated multivariable models. Continued efforts will identify new genes that impact on radiosensitivity to generate new knowledge on toxicity pathogenesis and tests to incorporate into the clinical decision-making process.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.