ReviewCancer letters2016
Radiogenomics: A systems biology approach to understanding genetic risk factors for radiotherapy toxicity?
Review in Cancer letters, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 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
41 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Individual patient data meta-analysis shows a significant association between the ATM rs1801516 SNP and toxicity after radiotherapy in 5456 breast and prostate cancer patients.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2016Pooled it
- Trial
- A genome-wide association study on radiation induced fibrosis in breast cancer patients.Clinical and translational radiation oncology · 2026Article
- FLASH radiotherapy: physico-chemical considerations on ionisation tracks, radical reactions, and the role of oxygen.Radiation oncology (London, England) · 2026Review
- Novel method for risk stratification of radiation-induced breast fibrosis: subgroup hypothesis verified by machine learning.NPJ breast cancer · 2026Article
- Voxel-Based Dose-Toxicity Modeling for Predicting Post-Radiotherapy Toxicity: A Critical Perspective.Journal of clinical medicine · 2025Article
- Integrating genetic polymorphisms and clinical data to develop predictive models for skin toxicity in breast cancer radiation therapy.Breast (Edinburgh, Scotland) · 2025Article
- The Role of Predictive Biomarkers in Modern Prostate Cancer Radiotherapy: A Literature Review on Personalised Treatment Strategies and the Prediction of Adverse Effects.Life (Basel, Switzerland) · 2025Review
- A radiogenomics study onBMC cancer · 2025Article
- Effect of iron and calcium on radiation sensitivity in prostate cancer patients relative to controls.Mutagenesis · 2023Article
- Article
- Predicting the germline dependence of hematuria risk in prostate cancer radiotherapy patients.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2023Article
- Effect of Selenium and Lycopene on Radiation Sensitivity in Prostate Cancer Patients Relative to Controls.Cancers · 2023Article
- Machine learning with imaging features to predict the expression of ITGAV, which is a poor prognostic factor derived from transcriptome analysis in pancreatic cancer.International journal of oncology · 2022Article
- Review
- Deep models of integrated multiscale molecular data decipher the endothelial cell response to ionizing radiation.iScience · 2022Article
- Cell Senescence-Related Pathways Are Enriched in Breast Cancer Patients With Late Toxicity After Radiotherapy and Low Radiation-Induced Lymphocyte Apoptosis.Frontiers in oncology · 2022Article
- A two-stage genome-wide association study of radiation-induced acute toxicity in head and neck cancer.Journal of translational medicine · 2021Article
- Radiogenomics of gastroenterological cancer: The dawn of personalized medicine with artificial intelligence-based image analysis.Annals of gastroenterological surgery · 2021Review
- Editorial: Cell Signaling Mediating Critical Radiation Responses.Frontiers in oncology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Adverse reactions in normal tissue after radiotherapy (RT) limit the dose that can be given to tumour cells. Since 80% of individual variation in clinical response is estimated to be caused by patient-related factors, identifying these factors might allow prediction of patients with increased risk of developing severe reactions. While inactivation of cell renewal is considered a major cause of toxicity in early-reacting normal tissues, complex interactions involving multiple cell types, cytokines, and hypoxia seem important for late reactions. Here, we review 'omics' approaches such as screening of genetic polymorphisms or gene expression analysis, and assess the potential of epigenetic factors, posttranslational modification, signal transduction, and metabolism. Furthermore, functional assays have suggested possible associations with clinical risk of adverse reaction. Pathway analysis incorporating different 'omics' approaches may be more efficient in identifying critical pathways than pathway analysis based on single 'omics' data sets. Integrating these pathways with functional assays may be powerful in identifying multiple subgroups of RT patients characterised by different mechanisms. Thus 'omics' and functional approaches may synergise if they are integrated into radiogenomics 'systems biology' to facilitate the goal of individualised radiotherapy.
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.