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Article: A model combining age, equivalent uniform dose and IL-8 may predict radiation esophagitis in patients with non-small cell lung cancer

TitleA model combining age, equivalent uniform dose and IL-8 may predict radiation esophagitis in patients with non-small cell lung cancer
Authors
KeywordsCytokines
Radiation esophagitis
Lung neoplasm
Non-small cell
Issue Date2018
Citation
Radiotherapy and Oncology, 2018, v. 126, n. 3, p. 506-510 How to Cite?
Abstract© 2018 The Authors Background and purpose: To study whether cytokine markers may improve predictive accuracy of radiation esophagitis (RE) in non-small cell lung cancer (NSCLC) patients. Materials and methods: A 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. Results: Forty-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 < 0.05). IL-4, IL-5, IL-8, IL-13, IL-15, IL-1α TGFα and eotaxin were also associated with grade ≥2 RE (p < 0.1). Age, esophagus generalized equivalent uniform dose (EUD), and baseline IL-8 were independently associated grade ≥2 RE. The combination of these three factors had significantly higher predictive power than any single factor alone. Addition of IL-8 to toxicity model significantly improves RE predictive accuracy (p = 0.019). Conclusions: Combining 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.
Persistent Identifierhttp://hdl.handle.net/10722/266821
ISSN
2020 Impact Factor: 6.28
2020 SCImago Journal Rankings: 1.892
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorWang, Shulian-
dc.contributor.authorCampbell, Jeff-
dc.contributor.authorStenmark, Matthew H.-
dc.contributor.authorStanton, Paul-
dc.contributor.authorZhao, Jing-
dc.contributor.authorMatuszak, Martha M.-
dc.contributor.authorTen Haken, Randall K.-
dc.contributor.authorKong, Feng Ming-
dc.date.accessioned2019-01-31T07:19:42Z-
dc.date.available2019-01-31T07:19:42Z-
dc.date.issued2018-
dc.identifier.citationRadiotherapy and Oncology, 2018, v. 126, n. 3, p. 506-510-
dc.identifier.issn0167-8140-
dc.identifier.urihttp://hdl.handle.net/10722/266821-
dc.description.abstract© 2018 The Authors Background and purpose: To study whether cytokine markers may improve predictive accuracy of radiation esophagitis (RE) in non-small cell lung cancer (NSCLC) patients. Materials and methods: A 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. Results: Forty-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 < 0.05). IL-4, IL-5, IL-8, IL-13, IL-15, IL-1α TGFα and eotaxin were also associated with grade ≥2 RE (p < 0.1). Age, esophagus generalized equivalent uniform dose (EUD), and baseline IL-8 were independently associated grade ≥2 RE. The combination of these three factors had significantly higher predictive power than any single factor alone. Addition of IL-8 to toxicity model significantly improves RE predictive accuracy (p = 0.019). Conclusions: Combining 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.-
dc.languageeng-
dc.relation.ispartofRadiotherapy and Oncology-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectCytokines-
dc.subjectRadiation esophagitis-
dc.subjectLung neoplasm-
dc.subjectNon-small cell-
dc.titleA model combining age, equivalent uniform dose and IL-8 may predict radiation esophagitis in patients with non-small cell lung cancer-
dc.typeArticle-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1016/j.radonc.2017.12.026-
dc.identifier.pmid29496281-
dc.identifier.scopuseid_2-s2.0-85042399907-
dc.identifier.volume126-
dc.identifier.issue3-
dc.identifier.spage506-
dc.identifier.epage510-
dc.identifier.eissn1879-0887-
dc.identifier.isiWOS:000429762700017-
dc.identifier.issnl0167-8140-

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