Trial reportInternational journal of radiation oncology, biology, physics2017
Plasma Levels of IL-8 and TGF-β1 Predict Radiation-Induced Lung Toxicity in Non-Small Cell Lung Cancer: A Validation Study.
Trial report in International journal of radiation oncology, biology, physics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.
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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.
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Who cites it
39 citing papers in PubMed, 54 citations in OpenAlex.
- Transforming Growth Factor-Beta 1 as a Predictive Biomarker for Radiation-Induced Lung Toxicity and Treatment Response in Lung Cancer: A Systematic Review and Meta-analysis.Advances in radiation oncology · 2026Article
- Article
- Contribution of immune cells and cytokines to radiation-induced injury: the key roles and potential targets.Frontiers in immunology · 2026Review
- Inflammatory Markers Associated With Radiation-Induced Lung Injury, Metastasis and Mortality After Breast Cancer Treatment.Advances in radiation oncology · 2025Article
- Immunological factors underlying radiation-induced toxicity in prostate cancer patients: a systematic review.Discover oncology · 2025Review
- Clinical and dosimetric risk factors for radiation pneumonitis after proton therapy in lung cancer patients: a retrospective study.Journal of thoracic disease · 2025Article
- The effect of durvalumab consolidation after definitive radiochemotherapy for non-operable stage III non-small cell lung cancer on the dose effect relation for therapy related pulmonary infiltrates as a risk factor for pneumonitis.Translational lung cancer research · 2025Article
- Construction and evaluation of a predictive model for radiation-induced lung injury in lung cancer: a meta-analysis.American journal of translational research · 2025Review
- The prognostic and predictive value of peripheral immune-related proteins in patients with lung cancer treated with radiotherapy.Frontiers in oncology · 2025Review
- Integrative prediction model for radiation pneumonitis incorporating genetic and clinical-pathological factors using machine learning.Clinical and translational radiation oncology · 2024Article
- Associations between patient-reported late effects and systemic cytokines in long-term survivors of head and neck cancer treated with radiotherapy.Journal of cancer survivorship : research and practice · 2023Article
- A narrative review of genetic biomarkers in non-small cell lung cancer: an update and future perspectives.AME medical journal · 2023Article
- Reshaping the systemic tumor immune environment (STIE) and tumor immune microenvironment (TIME) to enhance immunotherapy efficacy in solid tumors.Journal of hematology & oncology · 2022Review
- Radiotherapy as a tool to elicit clinically actionable signalling pathways in cancer.Nature reviews. Clinical oncology · 2022Review
- The Effect of Ophiopogonin C in Ameliorating Radiation-Induced Pulmonary Fibrosis in C57BL/6 Mice: An Update Study.Frontiers in oncology · 2022Article
- Effect of PD-1 Inhibitor Combined with X-Ray Irradiation on the Inflammatory Microenvironment and Lung Tissue Injury in Mice.Journal of inflammation research · 2022Article
- Promising Biomarkers of Radiation-Induced Lung Injury: A Review.Biomedicines · 2021Review
- A situational awareness Bayesian network approach for accurate and credible personalized adaptive radiotherapy outcomes prediction in lung cancer patients.Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) · 2021Article
- miR‑302c‑3p and miR‑520a‑3p suppress the proliferation of cervical carcinoma cells by targeting CXCL8.Molecular medicine reports · 2021Article
- Radiomics for prediction of radiation-induced lung injury and oncologic outcome after robotic stereotactic body radiotherapy of lung cancer: results from two independent institutions.Radiation oncology (London, England) · 2021Article
Corrections and comments
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Authors and funding
8 authors at 4 institutions in 2 countries.
Funding
Abstract
PURPOSE AND
objectivesWe previously reported that the combination of mean lung dose (MLD) and inflammatory cytokines interleukin-8 (IL-8) and transforming growth factor-β1 (TGF-β1) may provide a more accurate model for radiation-induced lung toxicity (RILT) prediction in 58 patients with non-small cell lung cancer (NSCLC). This study is to validate the previous findings with new patients and to explore new models with more cytokines. METHODS AND MATERIALS: One hundred forty-two patients with stage I-III NSCLC treated with definitive radiation therapy (RT) from prospective studies were included. Sixty-five new patients were used to validate previous findings, and all 142 patients were used to explore new models. Thirty inflammatory cytokines were measured in plasma samples before RT and 2 weeks and 4 weeks during RT (pre, 2w, 4w). Grade ≥2 RILT was defined as grade 2, and higher radiation pneumonitis or symptomatic pulmonary fibrosis was the primary endpoint. Logistic regression was performed to evaluate the risk factors of RILT. The area under the curve (AUC) for the receiver operating characteristic curves was used for model assessment.
resultsSixteen of 65 patients (24.6%) experienced RILT2. Lower pre IL-8 and higher TGF-β1 2w/pre ratio were associated with higher risk of RILT2. The AUC increased to 0.73 by combining MLD, pre IL-8, and TGF-β1 2w/pre ratio compared with 0.61 by MLD alone to predict RILT. In all 142 patients, 29 patients (20.4%) experienced grade ≥2 RILT. Among the 30 cytokines measured, only IL-8 and TGF-β1 were significantly associated with the risk of RILT2. MLD, pre IL-8 level, and TGF-β1 2w/pre ratio were included in the final predictive model. The AUC increased to 0.76 by combining MLD, pre IL-8, and TGF-β1 2w/pre ratio compared with 0.62 by MLD alone.
conclusionsWe validated that a combination of mean lung dose, pre IL-8 level, and TGF-β1 2w/pre ratio provided a more accurate model to predict the risk of RILT2 compared with MLD alone.
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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.