ReviewSeminars in radiation oncology2015
The Prediction of Radiotherapy Toxicity Using Single Nucleotide Polymorphism-Based Models: A Step Toward Prevention.
Review in Seminars in radiation oncology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled 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.
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
27 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Inclusion of dosimetric data as covariates in toxicity-related radiogenomic studies : A systematic review.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2018Pooled it
- Review
- Structural pharmacogenomics of drug-associated SNPs in oral squamous cell carcinoma.Frontiers in genetics · 2026Article
- Radiogenomics and the DNA damage response: opportunities for biomarker-guided radiosensitization in pancreatic cancer.Frontiers in oncology · 2026Review
- Drosophila melanogaster: an old and future ally to radiobiology.Journal of radiation research · 2025Review
- Integrating genetic polymorphisms and clinical data to develop predictive models for skin toxicity in breast cancer radiation therapy.Breast (Edinburgh, Scotland) · 2025Article
- Leveraging Radiotherapy Data for Precision Oncology: Veterans Affairs Granular Radiotherapy Information Database.JCO clinical cancer informatics · 2025Article
- Genomic predictors of radiation response: recent progress towards personalized radiotherapy for brain metastases.Cell death discovery · 2024Review
- The Role of Artificial Intelligence on Tumor Boards: Perspectives from Surgeons, Medical Oncologists and Radiation Oncologists.Current oncology (Toronto, Ont.) · 2024Review
- Improving Patients' Life Quality after Radiotherapy Treatment by Predicting Late Toxicities.Cancers · 2022Review
- Radiogenomics Consortium Genome-Wide Association Study Meta-Analysis of Late Toxicity After Prostate Cancer Radiotherapy.Journal of the National Cancer Institute · 2020Article
- Predictive Modeling of Thoracic Radiotherapy Toxicity and the Potential Role of Serum Alpha-2-Macroglobulin.Frontiers in oncology · 2020Article
- Mapping genetic modifiers of radiation-induced cardiotoxicity to rat chromosome 3.American journal of physiology. Heart and circulatory physiology · 2019Article
- Radiation-Induced Lung Injury (RILI).Frontiers in oncology · 2019Review
- Balancing accuracy and interpretability of machine learning approaches for radiation treatment outcomes modeling.BJR open · 2019Review
- A Review of Prostate Cancer Genome-Wide Association Studies (GWAS).Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2018Review
- Role of Germline Genetics in Identifying Survivors at Risk for Adverse Effects of Cancer Treatment.American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting · 2018Review
- Radiogenomics: Identification of Genomic Predictors for Radiation Toxicity.Seminars in radiation oncology · 2017Review
- Radiogenomics and radiotherapy response modeling.Physics in medicine and biology · 2017Review
- A Novel Methodology using CT Imaging Biomarkers to Quantify Radiation Sensitivity in the Esophagus with Application to Clinical Trials.Scientific reports · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
Radiotherapy is a mainstay of cancer treatment, used in either a curative or palliative manner to treat approximately 50% of patients with cancer. Normal tissue toxicity limits the doses used in standard radiation therapy protocols and impedes improvements in radiotherapy efficacy. Damage to surrounding normal tissues can produce reactions ranging from bothersome symptoms that negatively affect quality of life to severe life-threatening complications. Improved ways of predicting, before treatment, the risk for development of normal tissue toxicity may allow for more personalized treatment and reduce the incidence and severity of late effects. There is increasing recognition that the cause of normal tissue toxicity is multifactorial and includes genetic factors in addition to radiation dose and volume of exposure, underlying comorbidities, age, concomitant chemotherapy or hormonal therapy, and use of other medications. An understanding of the specific genetic risk factors for normal tissue response to radiation has the potential to enhance our ability to predict adverse outcomes at the treatment-planning stage. Therefore, the field of radiogenomics has focused upon the identification of genetic variants associated with normal tissue toxicity resulting from radiotherapy. Innovative analytic methods are being applied to the discovery of risk variants and development of integrative predictive models that build on traditional normal tissue complication probability models by incorporating genetic information. Results from initial studies provide promising evidence that genetic-based risk models could play an important role in the implementation of precision medicine for radiation oncology through enhancing the ability to predict normal tissue reactions and thereby improve cancer treatment.
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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.