A model combining age,equivalent uniform dose and IL-8 may predict radiation esophagitis in patients with non-small cell lung cancer |
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| Authors: | Shulian Wang Jeff Campbell Matthew H. Stenmark Paul Stanton Jing Zhao Martha M. Matuszak Randall K. Ten Haken Feng-Ming Kong |
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| Affiliation: | 1. State Key Laboratory of Molecular Oncology, Department of Radiation Oncology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China;2. Department of Radiation Oncology, GRU Cancer Center and Medical College of Georgia, Augusta, GA, United States;3. Department of Radiation Oncology, University of Michigan, United States;4. Department of Radiation Oncology, Indiana University, United States |
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| Abstract: | Background and purposeTo study whether cytokine markers may improve predictive accuracy of radiation esophagitis (RE) in non-small cell lung cancer (NSCLC) patients.Materials and methodsA total of 129 patients with stage I–III NSCLC treated with radiotherapy (RT) from prospective studies were included. Thirty inflammatory cytokines were measured in platelet-poor plasma samples. Logistic regression was performed to evaluate the risk factors of RE. Stepwise Akaike information criterion (AIC) and likelihood ratio test were used to assess model predictions.ResultsForty-nine of 129 patients (38.0%) developed grade ≥2 RE. Univariate analysis showed that age, stage, concurrent chemotherapy, and eight dosimetric parameters were significantly associated with grade ≥2 RE (p?p?p?=?0.019).ConclusionsCombining baseline level of IL-8, age and esophagus EUD may predict RE more accurately. Refinement of this model with larger sample sizes and validation from multicenter database are warranted. |
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| Keywords: | Lung neoplasm Non-small cell Radiation esophagitis Cytokines |
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