Lipopolysaccharide‑binding protein is efficient in biodosimetry during radiotherapy of lung cancer

  • Authors:
    • Justyna Chalubinska‑Fendler
    • Wojciech Fendler
    • Michal Spych
    • Krystyna Wyka
    • Jolanta Luniewska‑Bury
    • Jacek Fijuth
  • View Affiliations

  • Published online on: August 8, 2016     https://doi.org/10.3892/br.2016.739
  • Pages: 450-454
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Abstract

The aim of the present study was to determine if the serum levels of early markers of inflammation, such as interleukin‑6 (IL‑6), tumor necrosis factor‑α (TNF‑α), C‑reactive protein (CRP), and lipopolysaccharide‑binding protein (LBP) were correlated with the radiation dose received by the pulmonary and mediastinal structures of patients with non‑small cell lung cancer (NSCLC). This pilot study included 26 patients with NSCLC who received total radiation doses ranging from 54 to 74 Gy (2.0 Gy/fraction). Cytokines were measured at baseline by enzyme‑linked immunosorbant assay, and following administration of total doses of 20 and 40 Gy. A control group of 26 participants was sampled for comparisons with patient baseline cytokine levels. Only data from the 40‑Gy cytokine blood levels of patients with NSCLC were identified to be correlated with histograms of the parameters of each patient's radiotherapy protocol. The IL‑6, TNF‑α and CRP median baseline levels of the patients with NSCLC were significantly higher than those of the controls (all P≤0.01). No differences were observed between the LBP levels of the patients and controls [median, 36.34 (25‑75%; 31.35‑39.27) vs. 36.92 (30.20‑44.05) µg/ml, respectively; P=0.42]. No significant differences in the levels of the four cytokines between baseline, and at 20 and 40 Gy were observed [IL‑6 (P=0.19); TNF‑α (P=0.68); CRP (P=0.44) and LBP (P=0.29)]. LBP was significantly and positively correlated with the mean radiation dose to the lung (r=0.409; P=0.038), and showed a positive correlation with the percentage of lung volume exposed to at least 20 Gy of the planned radiation dose (r=0.3536; P=0.0764). CRP levels were positively correlated with the mean radiation dose to the esophagus (r=0.404; P=0.041); however, IL‑6, TNF‑α and CRP were not significantly associated with other lung dosimetry parameters. Thus, LBP levels were correlated with radiation exposure of pulmonary tissues, and LBP may be a marker that warrants further investigation on radiotoxicity in NSCLC patients.

Introduction

Radiation-induced pulmonary toxicity (RILT) is the most common pulmonary complication in lung cancer patients receiving external beam radiotherapy. Clinical signs and symptoms of RILT occur in 5–20% of irradiated patients (1). However, the prevalence may be underestimated as, following chest radiotherapy (RTx), ≤40% of patients demonstrate changes on diagnostic imaging, while certain patients are asymptomatic (2,3). The introduction of standardized lung dose volume constraints has led to a reduced incidence of radiation-induced pulmonary injuries, such as fibrosis and pulmonary insufficiency (4,5); however, the two complications have not been completely eliminated (6,7).

Irradiated lung tissues manifesting acute adverse reactions, such as RILT demonstrate enhanced production of inflammatory mediators (8). Therefore, the changes in cytokine concentrations during RTx may be predictive of lung toxicity and may, ultimately, lead to safer radiotherapy. Studies on biomarkers in lung cancer have been focused on the risk of developing lung cancer (9). Previous studies have demonstrated that assessments of cytokines, such as tumor growth factor-β (TGF-β1), interleukin-6 (IL-6) (3,10), eotaxin, and monocyte chemoattractant protein-1 (8) have considerable clinical utility for predicting RILT and/or survival (11,12). The majority of studies focused on biomarker levels prior to or following completion of RTx. Recent results suggest that serum concentrations of biomarkers from samples taken during the course of RTx may increase and correlate with exacerbation of RILT, thus enabling real-time risk assessment, prediction of fibrosis, and faster implementation of therapeutic interventions (13,14).

Materials and methods

Patient recruitment

The current study was approved by the Bioethics Committee of the Medical University of Łódź (Łódź, Poland). All participants provided written informed consent for participation in the study. A total number of 26 patients (16 males and 10 females) who were treated between January, 2014 and July, 2015 for non-small cell lung cancer (NSCLC) clinical stages IIA-IIIB, according to the American Joint Committee on Cancer Staging Manual, 7th Edition (15) by sequential chemoradiotherapy or radiotherapy in a postsurgical setting following adjuvant chemotherapy were recruited for participation in this study. Blood samples (5 ml) were taken from the participants at three time points during treatment for biomarker measurement, as follows: At baseline, prior to commencing radiotherapy; after a total of 20 Gy; after a total of 40 Gy. The samples after 20 and 40 Gy were collected just before the patient received the planned fraction. All blood samples were collected, stored in 4°C for clotting, then centrifuged at 1,500 × g (MPW-56; MPW Med Instruments, Warsaw, Poland) and stored at −80°C until analysis.

Exclusion criteria

Patients were excluded according to the following criteria: Chronic cardiac insufficiency (class III/IV, according to the New York Heart Association classification system); severe renal insufficiency (stage IV, according to The Renal Association; glomerular filtration rate, <30 ml/1.73m2/min); advanced stage of other pulmonary disease (chronic obstructive pulmonary disease stage IV according to the Global Initiative for Chronic Obstructive Lung Disease (16) classification or Asthma IV according to the Global Initiative for Asthma 2011 guidelines (17); or advanced liver insufficiency (Child-Pugh classification C and D). Patients that had been treated by stereotactic RTx and those with superior sulcus tumors or giant cell tumors were not included in the current study.

Recruitment scheme

Patients enrolled in the study underwent standard treatment according to National Comprehensive Cancer Network (NCCN) guidelines (18). Target volumes were delineated according to the International Commission of Radiation Units and Measurements Reports 62 and 83 (19). The total radiation doses delivered to clinical target volumes ranged between 54 and 74 Gy, at photon energies of 6 MV, or a mix of 6 and 15 MV, using linear accelerators (Clinac®iX; Varian Medical Systems, Inc., Palo Alto, CA, USA). Treatment volume planning was performed based on three-dimensional conformal techniques, using computed tomography to delineate targets and organs at risk, and to plan the dose delivery. Dose-volume constraints for organs at risk were based on NCCN limitations. Every study patient was examined once weekly for pulmonary signs (a dry cough, fever and dyspnea) and symptoms suggestive of RILT. Healthy, age- and gender-matched participants were recruited (n=26) for the control group.

Blood sample collection

Blood samples from the controls were assayed for cytokine levels and the results were compared with the baseline cytokine levels of the study patients. The following enzyme-linked immunosorbent assays were used to determine protein concentrations: Tumor necrosis factor-α (TNF-α; DTA00C kit; R&D Systems, Inc., Minneapolis, MN, USA), IL-6 (D6050 kit; R&D Systems, Inc.), lipopolysaccharide-binding protein (LBP; KA0448 kit; Abnova (Taiwan) Corporation, Taipei, Taiwan), and C-reactive protein (CRP; RD191006200R kit; BioVendor R&D, Brno, Czech Republic), following the manufacturers' instructions.

Statistical analysis

Student's t-test was used to perform univariate comparisons of log10-transformed values. The Pearson product-moment correlation coefficients were determined to assess the strength of the linear relationship between two variables. Repeated-measures analysis of variance was used to evaluate temporal changes in cytokine levels. The sample size of the study was determined based on 80% statistical power for detecting effects equal to ≥66% of 1 standard deviation, with a predetermined type 1 error probability of 0.05. An additional 10% of the calculated sample size of patients (n=22) was recruited to account for missing data or technical errors, and an additional 10% for dropouts due to the increased risk of mortality during radiotherapy. P<0.05 was considered to indicate a statistically significant difference.

Results

Basic statistics and matched-pair analysis

A total 26 patients (16 males and 10 females), with a mean age of 64.7±6.6 years were included in the study cohort. The control group consisted of 17 males and 9 females, with a mean age of 61.3±5.3 years. There were no differences in gender (P=1.00) and age (P=0.1031) between the patients with NSCLC and the control subjects. Table I demonstrates that at baseline, there were significant differences in three of the four cytokines between the patients with cancer and the control subjects. The only difference that was not significant was in the LBP values. This result indicates that LBP is not upregulated by the ongoing generalized inflammatory reaction against the tumor. During radiotherapy, none of the cytokine levels were significantly associated with the total dose administered at the time of cytokine assessment (Table I). At all time points, the IL-6, CRP, and TNF-α levels remained markedly above the control levels; the LBP levels remained stable and similar to the control level.

Table I.

Serum concentrations of inflammatory markers in the control participants and the patients with NSCLC at baseline and during radiotherapy.a

Table I.

Serum concentrations of inflammatory markers in the control participants and the patients with NSCLC at baseline and during radiotherapy.a

Baseline serum concentrationsRadiotherapy serum concentrationsP-value



MarkerPatients with NSCLCControlsP-value20 Gy40 GyRepeated measures analysis of varianceLinear trend
IL-6 (pg/ml)4.34 (2.77–8.67)1.51 (0.99–2.59)<0.00016.07 (3.15–7.43)5.47 (2.90–8.67)0.18980.1270
TNF-α (pg/ml)17.20 (15.50–20.81)5.66 (4.57–14.81)<0.000117.53 (15.50–19.51)17.20 (14.14–20.80)0.68310.5156
CRP (µg/ml)116.08 (33.3–179.73)36.63 (11.95–90.67)   0.0124121.14 (67.44–239.47)118.87 (44.04–266.70)0.44420.4023
LBP (µg/ml)36.34 (31.35–39.27)36.92 (30.20–44.05)   0.421935.96 (33.91–40.53)37.62 (34.11–41.03)0.28760.1656

a Values are presented as medians with interquartile ranges (25–75%). NSCLC, non-small cell lung cancer; IL-6, interleukin-6; TNF-α, tumor necrosis factor α; CRP, C-reactive protein; LBP, lipopolysaccharide-binding protein. The P-value of the linear trend was tested under the assumption of a linear decrease/increase across the three time points.

Comparisons between dosimetric factors and serum cytokine levels

Having established that the levels of inflammatory markers do not change significantly throughout radiotherapy, the correlation coefficients of their levels in association with the dosimetric parameters measured at the 40-Gy dose point were determined (Table II). The LBP level was significantly positively correlated with the mean lung radiation dose (MLD) (r=0.409; P=0.038; Fig. 1A) and there was borderline, but statistically insignificant correlation with V20 (r=0.3536; P=0.076; Fig. 1B). The CRP level correlated positively with the MLD to the esophagus (r=0.404; P=0.041; Fig. 1C). Only three study patients developed RILT more severe than grade 1 on the Radiation Therapy Oncology Group (RTOG) scale (20); therefore, assessments of inflammatory markers in association with RILT were not possible in the present study.

Table II.

Correlation analysis: Dosimetric parameters of radiotherapy administered to the study patients correlated with cytokine levels measured at the 40-Gy time point.

Table II.

Correlation analysis: Dosimetric parameters of radiotherapy administered to the study patients correlated with cytokine levels measured at the 40-Gy time point.

ParameterLung: V5 (%)Lung: V20 (%)Mean lung dose (Gy)Mean esophagus dose (Gy)GTV (cm3)CTV (cm3)PTV (cm3)
Median (25–75%)57.5526.2114.8823.1316.46124.35294.00
(49.13–60.53)(20.52–28.80)(12.95–16.88)(18.09–28.25)(0.00–31.42)(81.90–213.00)(216.00–464.40)
Correlation with inflammatory marker [P-value]
  IL-6 (pg/ml) log10r=0.082 [P=0.688]r=0.123 [P=0.546]r=0.071 [P=0.730]r=−0.040 [P=0.830]r=−0.210 [P=0.306]r=0.045 [P=0.825]r=0.088 [P=0.668]
  TNF-α (pg/ml) log10r=0.194 [P=0.342]r=0.123 [P=0.549]r=0.044 [P=0.830]r=0.087 [P=0.671]r=−0.200 [P=0.320]r=0.017 [P=0.933]r=0.093 [P=0.651]
  LBP (µg/ml) log10r=0.285 [P=0.158]r=0.353 [P=0.076]r=0.409 [P=0.038]r=−0.02 [P=0.892]r=−0.010 [P=0.953]r=0.141 [P=0.491]r=0.134 [P=0.511]
  CRP (µg/ml) log10r=0.073 [P=0.722]r=0.225 [P=0.267]r=0.206 [P=0.311]r=0.404 [P=0.041]r=0.211 [P=0.309]r=0.300 [P=0.136]r=0.263 [P=0.193]

[i] V5 and V20, percentage of total volume of lung tissue exposed to ≥5 or 20 Gy, respectively; GTV, gross tumor volume; CTV, clinical target volume; PTV, planned target volume; IL, interleukin; TNF-α, tumor necrosis factor α; CRP, C-reactive protein; LBP, lipopolysaccharide-binding protein. Bold values represent statistically significant correlations.

Discussion

The median LBP level was identified to be positively correlated with the radiation dose to the pulmonary tissue, which suggests that LBP assessments may warrant further investigations on radiotoxicity in NSCLC patients. An increased level of CRP seems to be associated with radiotoxicity to the esophagus, although cancer patients with elevated serum CRP levels prior to receiving radiotherapy hinder its utility for biodosimetry.

LBP belongs to the tubular lipid-binding protein family. It is produced by lung parenchyma, hepatocytes (21) and salivary glands (22). An increased LBP level was shown to be associated with worse outcomes of patients with infectious pneumonitis (23). In patients undergoing radiotherapy for NSCLC, the pretreatment levels of LBP were not correlated with outcome, although that study did not investigate the impact of RTx on LBP levels (12). However, in the current study serum LBP levels were observed to increase with V20 and MLD dosimetric parameters, although these parameters were well within the dose constraints described in the NCCN guidelines (16). This finding may be attributed to a localized inflammatory process in the lungs that may not be obvious, with radiation as the trigger. It is hypothesized that the increase in LBP is regulated via IL-6 secretion. However, as blood samples were collected just before the patient underwent the daily RTx fraction, the serum levels of IL-6 may have already dropped, accounting for measured IL-6 concentrations that were not significantly increased (24).

The next stage of the current study, which will be conducted when the study cohort increases to a final size of 52 participants and when there is a 3-year follow-up, whether the serum level of LBP measured during RTx is correlated with clinical toxicity and late adverse effects will be evaluated. This analysis could not be performed in this pilot study as only a few patients presented with RILT during treatment.

Previous studies reported that the levels of IL-6 and TNF-α cytokines were correlated with RILT. The RTOG 91–03 study (10) reported finding these correlations after an acquired total dose of 10 or 20 Gy. IL-6 was also found to be elevated before RTx and in patients with late manifestations of RILT (8). The predominant problem with IL-6 as a biomarker may be that it is a pleiotropic cytokine, which regulates many inflammatory processes, including induction of the acute phase reaction to injuries and infections. Therefore, IL-6 is a sensitive, but non-specific marker of the inflammatory process and potentially accounted for the significantly elevated pre-RTx levels of IL-6, as well as those of TNF-α and CRP in the study patients with NSCLC, compared to the control participants.

There were certain limitations of the present study. The patients enrolled in this study were eligible for either sequential chemoradiotherapy or adjuvant RTx. Although the current standard of radical treatment for locally advanced NSCLC is concurrent chemoradiotherapy (25), ~60% of patients are deemed ineligible (26). The selection criteria of the present study may have led to bias, because the study patients were limited to those who underwent sequential chemotherapy or adjuvant RTx. However, as a result of our selection criteria, the effects of chemotherapy on the early inflammatory response were avoided. The absence of a temporal trend in LBP levels during RTx (P=0.167) suggest that the significant correlation of LBP with MLD was not due to disease progression or the initial disease stage, but rather was associated with the actual radiation dose delivered to pulmonary tissue in a specific volume.

In conclusion, the present study found that LBP levels are associated with the radiation dose delivered to the pulmonary tissue and may have the potential to be markers of RILT. A larger study group and longer follow-up time are required to establish whether the observed differences have clinical implications.

Acknowledgements

The present study was funded by the National Science Center (grant no. 2012/05/N/NZ5/02621) and the INTER program of the FNP (grant no. 127/UD/SKILLS/2015).

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Chalubinska‑Fendler J, Fendler W, Spych M, Wyka K, Luniewska‑Bury J and Fijuth J: Lipopolysaccharide‑binding protein is efficient in biodosimetry during radiotherapy of lung cancer. Biomed Rep 5: 450-454, 2016
APA
Chalubinska‑Fendler, J., Fendler, W., Spych, M., Wyka, K., Luniewska‑Bury, J., & Fijuth, J. (2016). Lipopolysaccharide‑binding protein is efficient in biodosimetry during radiotherapy of lung cancer. Biomedical Reports, 5, 450-454. https://doi.org/10.3892/br.2016.739
MLA
Chalubinska‑Fendler, J., Fendler, W., Spych, M., Wyka, K., Luniewska‑Bury, J., Fijuth, J."Lipopolysaccharide‑binding protein is efficient in biodosimetry during radiotherapy of lung cancer". Biomedical Reports 5.4 (2016): 450-454.
Chicago
Chalubinska‑Fendler, J., Fendler, W., Spych, M., Wyka, K., Luniewska‑Bury, J., Fijuth, J."Lipopolysaccharide‑binding protein is efficient in biodosimetry during radiotherapy of lung cancer". Biomedical Reports 5, no. 4 (2016): 450-454. https://doi.org/10.3892/br.2016.739