Literature DB >> 24560756

Acute phase response before treatment predicts radiation esophagitis in non-small cell lung cancer.

Chad Tang1, Zhongxing Liao1, Yan Zhuang1, Lawrence B Levy1, Chun Hung2, Xiaodong Li3, Shane P Krafft4, Mary K Martel4, Ritsuko Komaki1, Daniel R Gomez5.   

Abstract

BACKGROUND AND
PURPOSE: Radiation esophagitis (RE) represents an inflammatory reaction to radiation therapy (RT). We hypothesized that aspects of the physiologic acute phase response (APR) predicts RE.
MATERIAL AND METHODS: We retrospectively analyzed 285 patients with non-small cell lung cancer (NSCLC) treated with definitive radiation. The primary analysis was the association of pretreatment lab values reflective of the APR with symptomatic (grade ⩾ 2) RE. Univariate and multivariate odds ratios (ORs) were calculated to test associations of clinical and pretreatment lab values with RE. Optimal cutpoints and multivariable risk stratification groupings were determined via recursive partitioning analysis.
RESULTS: Pretreatment platelet counts were higher and hemoglobin levels lower in patients who developed RE (P<0.05). Based on these two pre-treatment risk factors, an APR score was defined as 0 (no risk factors), 1 (either risk factor), or 2 (both risk factors). APR score was significantly associated with RE in both univariate (OR = 2.3 for each point, 95% confidence interval [CI] 1.5-3.4, P = 0.001) and multivariate (OR = 2.1, 95% CI 1.3-3.4, P = 0.002) analyses.
CONCLUSIONS: The APR score may represent a novel metric to predict RE. However, pending validation in an independent dataset, caution is advised when interpreting these results given their retrospective and thus exploratory nature.
Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Inflammation; Non-small cell lung cancer; Predictive markers; Radiation esophagitis; Radiation therapy

Mesh:

Year:  2014        PMID: 24560756     DOI: 10.1016/j.radonc.2014.01.009

Source DB:  PubMed          Journal:  Radiother Oncol        ISSN: 0167-8140            Impact factor:   6.280


  4 in total

1.  A prospective study comparing the predictions of doctors versus models for treatment outcome of lung cancer patients: a step toward individualized care and shared decision making.

Authors:  Cary Oberije; Georgi Nalbantov; Andre Dekker; Liesbeth Boersma; Jacques Borger; Bart Reymen; Angela van Baardwijk; Rinus Wanders; Dirk De Ruysscher; Ewout Steyerberg; Anne-Marie Dingemans; Philippe Lambin
Journal:  Radiother Oncol       Date:  2014-05-17       Impact factor: 6.280

Review 2.  Advances in dosimetry and biological predictors of radiation-induced esophagitis.

Authors:  Yang Yu; Hui Guan; Yuanli Dong; Ligang Xing; Xiaolin Li
Journal:  Onco Targets Ther       Date:  2016-01-28       Impact factor: 4.147

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

Authors:  Shulian Wang; Jeff Campbell; Matthew H Stenmark; Paul Stanton; Jing Zhao; Martha M Matuszak; Randall K Ten Haken; Feng-Ming Kong
Journal:  Radiother Oncol       Date:  2018-03       Impact factor: 6.280

4.  Predicting Severe Radiation Esophagitis in Patients With Locally Advanced Esophageal Squamous Cell Carcinoma Receiving Definitive Chemoradiotherapy: Construction and Validation of a Model Based in the Clinical and Dosimetric Parameters as Well as Inflammatory Indexes.

Authors:  Yilin Yu; Hongying Zheng; Lingyun Liu; Hui Li; Qunhao Zheng; Zhiping Wang; Yahua Wu; Jiancheng Li
Journal:  Front Oncol       Date:  2021-06-24       Impact factor: 6.244

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.