Trial reportInternational journal of radiation oncology, biology, physics2009
A gene expression model of intrinsic tumor radiosensitivity: prediction of response and prognosis after chemoradiation.
Trial report in International journal of radiation oncology, biology, physics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 173 papers, 4 of them syntheses that pooled it.
What it found
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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
173 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- A systematic review of stereotactic radiosurgery for metastatic spinal sarcomas.Journal of neuro-oncology · 2025Pooled it
- Intraoperative Radiotherapy Is Not a Better Alternative to Whole Breast Radiotherapy as a Therapeutic Option for Early-Stage Breast Cancer.Frontiers in oncology · 2021Pooled it
- Robustness of Clonogenic Assays as a Biomarker for Cancer Cell Radiosensitivity.International journal of molecular sciences · 2019Pooled it
- Head and neck cancer subtypes with biological and clinical relevance: Meta-analysis of gene-expression data.Oncotarget · 2015Pooled it
- Pan-Cancer Gene Expression Predicts Per-Cancer Radiation Therapy Response.Advances in radiation oncology · 2026Article
- From bench to bedside: advancing our understanding of radioresistance in rectal cancer.Cancer metastasis reviews · 2026Review
- Radiation Oncology-Biology Integration Network: Bridging the Gap between Biological Research and Clinical Practice.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026Review
- From Cellular Radiosensitivity to Precision Radiotherapy: Integrating Functional Assays, Genomics, and Clinical Modeling.Cancers · 2026Review
- Radiosensitivity index stability across glioma progression: a longitudinal bulk and single-cell analysis.Journal of neuro-oncology · 2026Article
- CircTMCC1 enhances radioresistance in esophageal squamous cell carcinoma by upregulating MYC via miR-186-3p sponging.Discover oncology · 2026Article
- Integrating transcriptomic data and artificial intelligence to personalize curative treatments for head and neck cancer patients.NPJ precision oncology · 2026Review
- Spatiotemporal dynamics of radioresistance: decoding macrophage-driven radioprotective niches through temporal-spatial reprogramming.Molecular cancer · 2026Review
- A prescription-free, radiobiology-based framework for automated VMAT planning: A feasibility study in primary prostate cancer radiotherapy.Medical physics · 2026Article
- Analysis of the Radiosensitivity Index in Paired Preneoadjuvant and Postneoadjuvant Therapy Triple-Negative Breast Cancer.International journal of radiation oncology, biology, physics · 2026Article
- Radiogenomics and the DNA damage response: opportunities for biomarker-guided radiosensitization in pancreatic cancer.Frontiers in oncology · 2026Review
- Association Between Genomic Features and Radiation Response in Metastatic Breast Cancer Patients Undergoing Palliative Radiotherapy.International journal of molecular sciences · 2025Article
- Genomic adjusted radiation dose stratifies radiotherapy dosing based on tumor-specific sensitivity in HPV+ oropharyngeal cancer.The Journal of clinical investigation · 2025Article
- Personalized treatment in HPV+ oropharynx cancer using genomic adjusted radiation dose.The Journal of clinical investigation · 2025Observational
- Differentiation Stage Predicts Radiosensitivity in Mesenchymal-Like Pancreatic Cancer.International journal of radiation oncology, biology, physics · 2025Article
- Narrative Review of the Use of Genomic-Adjusted Radiation Dose (GARD) in Radiotherapy.Cancers · 2025Review
113 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
Abstract
purposeDevelopment of a radiosensitivity predictive assay is a central goal of radiation oncology. We reasoned a gene expression model could be developed to predict intrinsic radiosensitivity and treatment response in patients. METHODS AND MATERIALS: Radiosensitivity (determined by survival fraction at 2 Gy) was modeled as a function of gene expression, tissue of origin, ras status (mut/wt), and p53 status (mut/wt) in 48 human cancer cell lines. Ten genes were identified and used to build a rank-based linear regression algorithm to predict an intrinsic radiosensitivity index (RSI, high index = radioresistance). This model was applied to three independent cohorts treated with concurrent chemoradiation: head-and-neck cancer (HNC, n = 92); rectal cancer (n = 14); and esophageal cancer (n = 12).
resultsPredicted RSI was significantly different in responders (R) vs. nonresponders (NR) in the rectal (RSI R vs. NR 0.32 vs. 0.46, p = 0.03), esophageal (RSI R vs. NR 0.37 vs. 0.50, p = 0.05) and combined rectal/esophageal (RSI R vs. NR 0.34 vs. 0.48, p = 0.001511) cohorts. Using a threshold RSI of 0.46, the model has a sensitivity of 80%, specificity of 82%, and positive predictive value of 86%. Finally, we evaluated the model as a prognostic marker in HNC. There was an improved 2-year locoregional control (LRC) in the predicted radiosensitive group (2-year LRC 86% vs. 61%, p = 0.05).
conclusionsWe validate a robust multigene expression model of intrinsic tumor radiosensitivity in three independent cohorts totaling 118 patients. To our knowledge, this is the first time that a systems biology-based radiosensitivity model is validated in multiple independent clinical datasets.
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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.