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

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 i...

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Autores principales: Wang, Shulian, Campbell, Jeff, Stenmark, Matthew H., Stanton, Paul, Zhao, Jing, Matuszak, Martha M., Ten Haken, Randall K., Kong, Feng-Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5874799/
https://www.ncbi.nlm.nih.gov/pubmed/29496281
http://dx.doi.org/10.1016/j.radonc.2017.12.026
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author Wang, Shulian
Campbell, Jeff
Stenmark, Matthew H.
Stanton, Paul
Zhao, Jing
Matuszak, Martha M.
Ten Haken, Randall K.
Kong, Feng-Ming
author_facet Wang, Shulian
Campbell, Jeff
Stenmark, Matthew H.
Stanton, Paul
Zhao, Jing
Matuszak, Martha M.
Ten Haken, Randall K.
Kong, Feng-Ming
author_sort Wang, Shulian
collection PubMed
description 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.
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spelling pubmed-58747992018-03-29 A model combining age, equivalent uniform dose and IL-8 may predict radiation esophagitis in patients with non-small cell lung cancer Wang, Shulian Campbell, Jeff Stenmark, Matthew H. Stanton, Paul Zhao, Jing Matuszak, Martha M. Ten Haken, Randall K. Kong, Feng-Ming Radiother Oncol Article 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. 2018-03 /pmc/articles/PMC5874799/ /pubmed/29496281 http://dx.doi.org/10.1016/j.radonc.2017.12.026 Text en Radiotherapy and Oncology 126 (2018) 506–510 This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wang, Shulian
Campbell, Jeff
Stenmark, Matthew H.
Stanton, Paul
Zhao, Jing
Matuszak, Martha M.
Ten Haken, Randall K.
Kong, Feng-Ming
A model combining age, equivalent uniform dose and IL-8 may predict radiation esophagitis in patients with non-small cell lung cancer
title A model combining age, equivalent uniform dose and IL-8 may predict radiation esophagitis in patients with non-small cell lung cancer
title_full A model combining age, equivalent uniform dose and IL-8 may predict radiation esophagitis in patients with non-small cell lung cancer
title_fullStr A model combining age, equivalent uniform dose and IL-8 may predict radiation esophagitis in patients with non-small cell lung cancer
title_full_unstemmed A model combining age, equivalent uniform dose and IL-8 may predict radiation esophagitis in patients with non-small cell lung cancer
title_short A model combining age, equivalent uniform dose and IL-8 may predict radiation esophagitis in patients with non-small cell lung cancer
title_sort model combining age, equivalent uniform dose and il-8 may predict radiation esophagitis in patients with non-small cell lung cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5874799/
https://www.ncbi.nlm.nih.gov/pubmed/29496281
http://dx.doi.org/10.1016/j.radonc.2017.12.026
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