ArticleInternational journal of radiation oncology, biology, physics2013
Incorporating single-nucleotide polymorphisms into the Lyman model to improve prediction of radiation pneumonitis.
Article in International journal of radiation oncology, biology, physics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 5 of them syntheses that pooled it.
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Who cites it
35 citing papers in PubMed, 5 syntheses or guidelines pooled it, 67 citations in OpenAlex.
- Significant Association Between XRCC1 Expression and Its rs25487 Polymorphism and Radiotherapy-Related Cancer Prognosis.Frontiers in oncology · 2021Pooled it
- TGF-β1 rs1982073 polymorphism contributes to radiation pneumonitis in lung cancer patients: a meta-analysis.Journal of cellular and molecular medicine · 2016Pooled it
- Association between Single Nucleotide Polymorphisms in XRCC3 and Radiation-Induced Adverse Effects on Normal Tissue: A Meta-Analysis.PloS one · 2015Pooled it
- Effect of transforming growth factor-β1 869C/T polymorphism and radiation pneumonitis.International journal of clinical and experimental pathology · 2015Pooled it
- Radiogenomics: using genetics to identify cancer patients at risk for development of adverse effects following radiotherapy.Cancer discovery · 2014Pooled it
- Estimates of Alpha/Beta (α/β) Ratios for Individual Late Rectal Toxicity Endpoints: An Analysis of the CHHiP Trial.International journal of radiation oncology, biology, physics · 2021Trial
- Association of Cardiac and Pulmonary CT Imaging Features with Respiratory Side Effects After Whole-Breast Radiotherapy.Cancers · 2026Article
- Immune and inflammatory radiogenomics of radiotherapy-induced normal-tissue toxicity: genetic susceptibility, mechanisms, risk prediction, and clinical translation.Frontiers in immunology · 2026Review
- NRG Oncology White Paper on the Relative Biological Effectiveness in Proton Therapy.International journal of radiation oncology, biology, physics · 2025Review
- Observational
- The Normal, the Radiosensitive, and the Ataxic in the Era of Precision Radiotherapy: A Narrative Review.Cancers · 2022Review
- Treatment-related pulmonary adverse events induced by chemoradiation and Durvalumab affect survival in locally advanced non-small cell lung cancer.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2022Article
- Personalized mid-course FDG-PET based adaptive treatment planning for non-small cell lung cancer using machine learning and optimization.Physics in medicine and biology · 2022Article
- Predictive performance of different NTCP techniques for radiation-induced esophagitis in NSCLC patients receiving proton radiotherapy.Scientific reports · 2022Article
- Modulators of radiation-induced cardiopulmonary toxicities for non-small cell lung cancer: Integrated cytokines, single nucleotide variants, and HBP systems imaging.Frontiers in oncology · 2022Review
- Machine learning applications in radiation oncology.Physics and imaging in radiation oncology · 2021Review
- Radiomic and radiogenomic modeling for radiotherapy: strategies, pitfalls, and challenges.Journal of medical imaging (Bellingham, Wash.) · 2021Review
- Liquid biopsy in NSCLC: a new challenge in radiation therapy.Exploration of targeted anti-tumor therapy · 2021Review
- Genomics models in radiotherapy: From mechanistic to machine learning.Medical physics · 2020Review
- Precise prediction of the radiation pneumonitis in lung cancer: an explorative preliminary mathematical model using genotype information.Journal of Cancer · 2020Article
Corrections and comments
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Authors and funding
15 authors at 4 institutions in 2 countries.
Funding
Abstract
purposeTo determine whether single-nucleotide polymorphisms (SNPs) in genes associated with DNA repair, cell cycle, transforming growth factor-β, tumor necrosis factor and receptor, folic acid metabolism, and angiogenesis can significantly improve the fit of the Lyman-Kutcher-Burman (LKB) normal-tissue complication probability (NTCP) model of radiation pneumonitis (RP) risk among patients with non-small cell lung cancer (NSCLC). METHODS AND MATERIALS: Sixteen SNPs from 10 different genes (XRCC1, XRCC3, APEX1, MDM2, TGFβ, TNFα, TNFR, MTHFR, MTRR, and VEGF) were genotyped in 141 NSCLC patients treated with definitive radiation therapy, with or without chemotherapy. The LKB model was used to estimate the risk of severe (grade≥3) RP as a function of mean lung dose (MLD), with SNPs and patient smoking status incorporated into the model as dose-modifying factors. Multivariate analyses were performed by adding significant factors to the MLD model in a forward stepwise procedure, with significance assessed using the likelihood-ratio test. Bootstrap analyses were used to assess the reproducibility of results under variations in the data.
resultsFive SNPs were selected for inclusion in the multivariate NTCP model based on MLD alone. SNPs associated with an increased risk of severe RP were in genes for TGFβ, VEGF, TNFα, XRCC1 and APEX1. With smoking status included in the multivariate model, the SNPs significantly associated with increased risk of RP were in genes for TGFβ, VEGF, and XRCC3. Bootstrap analyses selected a median of 4 SNPs per model fit, with the 6 genes listed above selected most often.
conclusionsThis study provides evidence that SNPs can significantly improve the predictive ability of the Lyman MLD model. With a small number of SNPs, it was possible to distinguish cohorts with >50% risk vs <10% risk of RP when they were exposed to high MLDs.
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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.