Cargando…
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...
Autores principales: | , , , , , , , |
---|---|
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 |
_version_ | 1783310234622623744 |
---|---|
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. |
format | Online Article Text |
id | pubmed-5874799 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT wangshulian amodelcombiningageequivalentuniformdoseandil8maypredictradiationesophagitisinpatientswithnonsmallcelllungcancer AT campbelljeff amodelcombiningageequivalentuniformdoseandil8maypredictradiationesophagitisinpatientswithnonsmallcelllungcancer AT stenmarkmatthewh amodelcombiningageequivalentuniformdoseandil8maypredictradiationesophagitisinpatientswithnonsmallcelllungcancer AT stantonpaul amodelcombiningageequivalentuniformdoseandil8maypredictradiationesophagitisinpatientswithnonsmallcelllungcancer AT zhaojing amodelcombiningageequivalentuniformdoseandil8maypredictradiationesophagitisinpatientswithnonsmallcelllungcancer AT matuszakmartham amodelcombiningageequivalentuniformdoseandil8maypredictradiationesophagitisinpatientswithnonsmallcelllungcancer AT tenhakenrandallk amodelcombiningageequivalentuniformdoseandil8maypredictradiationesophagitisinpatientswithnonsmallcelllungcancer AT kongfengming amodelcombiningageequivalentuniformdoseandil8maypredictradiationesophagitisinpatientswithnonsmallcelllungcancer AT wangshulian modelcombiningageequivalentuniformdoseandil8maypredictradiationesophagitisinpatientswithnonsmallcelllungcancer AT campbelljeff modelcombiningageequivalentuniformdoseandil8maypredictradiationesophagitisinpatientswithnonsmallcelllungcancer AT stenmarkmatthewh modelcombiningageequivalentuniformdoseandil8maypredictradiationesophagitisinpatientswithnonsmallcelllungcancer AT stantonpaul modelcombiningageequivalentuniformdoseandil8maypredictradiationesophagitisinpatientswithnonsmallcelllungcancer AT zhaojing modelcombiningageequivalentuniformdoseandil8maypredictradiationesophagitisinpatientswithnonsmallcelllungcancer AT matuszakmartham modelcombiningageequivalentuniformdoseandil8maypredictradiationesophagitisinpatientswithnonsmallcelllungcancer AT tenhakenrandallk modelcombiningageequivalentuniformdoseandil8maypredictradiationesophagitisinpatientswithnonsmallcelllungcancer AT kongfengming modelcombiningageequivalentuniformdoseandil8maypredictradiationesophagitisinpatientswithnonsmallcelllungcancer |