Dataset Information

Principal component analysis identifies patterns of cytokine expression in non-small cell lung cancer patients undergoing definitive radiation therapy.

ABSTRACT:

Background/purpose

Radiation treatment (RT) stimulates the release of many immunohumoral factors, complicating the identification of clinically significant cytokine expression patterns. This study used principal component analysis (PCA) to analyze cytokines in non-small cell lung cancer (NSCLC) patients undergoing RT and explore differences in changes after hypofractionated stereotactic body radiation therapy (SBRT) and conventionally fractionated RT (CFRT) without or with chemotherapy.

Methods

The dataset included 141 NSCLC patients treated on prospective clinical protocols; PCA was based on the 128 patients who had complete CK values at baseline and during treatment. Patients underwent SBRT (n = 16), CFRT (n = 18), or CFRT (n = 107) with concurrent chemotherapy (ChRT). Levels of 30 cytokines were measured from prospectively collected platelet-poor plasma samples at baseline, during RT, and after RT. PCA was used to study variations in cytokine levels in patients at each time point.

Results

Median patient age was 66, and 22.7% of patients were female. PCA showed that sCD40l, fractalkine/C3, IP10, VEGF, IL-1a, IL-10, and GMCSF were responsible for most variability in baseline cytokine levels. During treatment, sCD40l, IP10, MIP-1b, fractalkine, IFN-r, and VEGF accounted for most changes in cytokine levels. In SBRT patients, the most important players were sCD40l, IP10, and MIP-1b, whereas fractalkine exhibited greater variability in CFRT alone patients. ChRT patients exhibited variability in IFN-? and VEGF in addition to IP10, MIP-1b, and sCD40l.

Conclusions

PCA can identify potentially significant patterns of cytokine expression after fractionated RT. Our PCA showed that inflammatory cytokines dominate post-treatment cytokine profiles, and the changes differ after SBRT versus CFRT, with vs without chemotherapy. Further studies are planned to validate these findings and determine the clinical significance of the cytokine profiles identified by PCA.

SUBMITTER: Ellsworth SG

PROVIDER: S-EPMC5608186 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature

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Publications

Principal component analysis identifies patterns of cytokine expression in non-small cell lung cancer patients undergoing definitive radiation therapy.

Ellsworth Susannah G SG Rabatic Bryan M BM Chen Jie J Zhao Jing J Campbell Jeffrey J Wang Weili W Pi Wenhu W Stanton Paul P Matuszak Martha M Jolly Shruti S Miller Amy A Kong Feng-Ming FM Kong Feng-Ming FM

PloS one 20170921 9

<h4>Background/purpose</h4>Radiation treatment (RT) stimulates the release of many immunohumoral factors, complicating the identification of clinically significant cytokine expression patterns. This study used principal component analysis (PCA) to analyze cytokines in non-small cell lung cancer (NSCLC) patients undergoing RT and explore differences in changes after hypofractionated stereotactic body radiation therapy (SBRT) and conventionally fractionated RT (CFRT) without or with chemotherapy.< ...[more]

PMID: 28934231

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Project description:Radiation therapy effectively kills cancer cells and elicits local effects in the irradiated tissue. The aim of this study was to investigate the kinetics of cytokines in the serum of patients with lung cancer undergoing radiation therapy and to identify associations with metabolic tumor burden as determined by 2-deoxy-2-fluoro-D-glucose (18F-FDG) positron emission tomography (PET).Forty-five patients with advanced non-small cell lung cancer were included in a phase 2 clinical trial and randomized between fractionated thoracic radiation therapy alone or concurrent with an epidermal growth factor receptor inhibitor. Blood was sampled at 4 different time points: prior to treatment, midtherapy, at the end of therapy, and 6 to 8 weeks after the start of treatment. The serum concentrations of 48 cytokines and 9 matrix metalloproteinases were measured with multiplex immunoassays. A subset of patients was examined by 18F-FDG PET/computed tomography before, during, and after radiation therapy. The maximum standardized uptake values (SUVmax) of the primary lung tumor, whole-body metabolic tumor volume, and total lesion glycolysis were calculated, and correlations between the PET parameters and cytokines were investigated.The SUVmax decreased from baseline through midtherapy to posttherapy 18F-FDG PET/computed tomography (P?=?.018). The serum levels of C-C motif chemokine ligand (CCL) 23, CCL24, C-X3-C motif chemokine ligand 1, and interleukin-8 (C-X-C motif ligand [CXCL]8) were significantly correlated to SUVmax, metabolic tumor volume, and total lesion glycolysis before, during, and after radiation therapy. CXCL2 (P?=?.030) and CXCL6 (P?=?.010) decreased after the start of therapy and changed significantly across the sample time points. Serum concentrations of CCL15 (P?=?.031), CXCL2 (P?=?.028), and interleukin-6 (P?=?.007) were positively correlated to the irradiated volume during the second week of treatment.Cytokine serum levels vary and correlate with metabolic tumor burden in patients with advanced non-small cell lung cancer undergoing palliative thoracic radiation therapy.

Project description:PURPOSE:To characterize practice patterns, including temporal trends, in fractionation schedules among patients in the United States undergoing definitive radiation therapy for early-stage glottic cancer and to compare overall survival outcomes between fractionation schedules. METHODS AND MATERIALS:We queried the National Cancer Database for patients with TisN0M0, T1N0M0, or T2N0M0 squamous cell carcinoma of the glottic larynx diagnosed between 2004 and 2012 and undergoing definitive radiation therapy. Dose per fraction was calculated to define cohorts undergoing conventional fractionation (CFxn) and hypofractionation (HFxn). Logistic regression was performed to identify predictors of receiving HFxn, and Cox regression was used to determine predictors of death. One-to-one propensity score matching was then used to compare survival between fractionation schedules. RESULTS:The study included 10,539 patients, with 6576 undergoing CFxn and 3963 undergoing HFxn. Patients with T1 disease comprised a majority of each cohort. Use of HFxn increased significantly over the period studied (P<.001), but even in the final year, nearly one-half of patients continued to receive CFxn. Receipt of HFxn was also independently associated with higher income and facility types other than community cancer programs on logistic regression. On multivariate Cox regression, HFxn was associated with improved survival (hazard ratio [HR] for death, 0.90; 95% confidence interval [CI], 0.83-0.97; P=.008), a finding redemonstrated on univariate Cox regression among a well-matched cohort after propensity score matching (HR, 0.88; 95% CI, 0.80-0.96; P=.003). Subgroup Cox multivariate analysis demonstrated a significant survival advantage with HFxn among patients with T1 disease (HR, 0.90; 95% CI, 0.81-0.99; P=.042) but a nonsignificant benefit among those with Tis (HR, 0.86; 95% CI, 0.57-1.30; P=.472) or T2 (HR, 0.88; 95% CI, 0.76-1.02; P=.099) disease. CONCLUSIONS:Use of HFxn is increasing and is associated with improved survival over CFxn. Our findings support the broadened use of HFxn for patients with early-stage glottic cancer undergoing definitive radiation therapy.

Dataset Information

Principal component analysis identifies patterns of cytokine expression in non-small cell lung cancer patients undergoing definitive radiation therapy.

Background/purpose

Methods

Results

Conclusions

Publications

Principal component analysis identifies patterns of cytokine expression in non-small cell lung cancer patients undergoing definitive radiation therapy.

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