Advertisement
Journal of Clinical Oncology  
Search for:
Limit by:
  Browse by Subject or Issue
Home Search or Browse JCO My JCO Subscriptions Customer Service Site Map

Journal of Clinical Oncology, Vol 23, No 34 (December 1), 2005: pp. 8748-8756
© 2005 American Society of Clinical Oncology.
DOI: 10.1200/JCO.2005.01.7145

This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Purchase Article
Right arrow View Shopping Cart
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a colleague
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Save to my personal folders
Right arrow Download to citation manager
Right arrowRights & Permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Arpin, D.
Right arrow Articles by Carrie, C.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Arpin, D.
Right arrow Articles by Carrie, C.
Social Bookmarking
 Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Facebook   Add to Reddit   Add to Technorati   Add to Twitter  
What's this?

Early Variations of Circulating Interleukin-6 and Interleukin-10 Levels During Thoracic Radiotherapy Are Predictive for Radiation Pneumonitis

Dominique Arpin, David Perol, Jean-Yves Blay, Lionel Falchero, Line Claude, Sylvie Vuillermoz-Blas, Isabelle Martel-Lafay, Chantal Ginestet, Laurent Alberti, Dimitri Nosov, Bénédicte Etienne-Mastroianni, Vincent Cottin, Maurice Perol, Jean-Claude Guerin, Jean-François Cordier, Christian Carrie

From the Department of Pneumology, Hôpital de la Croix Rousse; Departments of Public Health (Department of Public Health—Biostatistics Unit) and Radiation Oncology and Cytokines and Cancer Research Unit Institut National de la Santé et de la Recherche Médicale U.590, Centre Léon Bérard; Department of Pneumology, Hôpital St Joseph; and Department of Pneumology, Hôpital Louis Pradel, Lyon; Department of Pneumology, Hôpital de Villefranche sur Saône, Villefranche sur Saône, France; and Blokhin Cancer Research Center, Moscow, Russia

Address reprint requests to Dominique Arpin, MD, Hôpital de la Croix Rousse, 103 Grande Rue de la Croix Rousse, 69317 Lyon Cedex 04, France; e-mail: dominique.arpin{at}chu-lyon.fr


    ABSTRACT
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 Authors' Disclosures of...
 REFERENCES
 
PURPOSE: To investigate variations of circulating serum levels of interleukin-6 (IL-6), tumor necrosis factor alpha (TNF{alpha}), and interleukin-10 (IL-10) during three-dimensional conformal radiation therapy (3D-CRT) in patients with non–small-cell lung cancer and correlate these variations with the occurrence of radiation pneumonitis.

PATIENTS AND METHODS: Ninety-six patients receiving 3D-CRT for stage I to III disease were evaluated prospectively. Circulating cytokine levels were determined before, every 2 weeks during, and at the end of treatment. Radiation pneumonitis was evaluated prospectively between 6 and 8 weeks after 3D-CRT. The predictive value of clinical, dosimetric, and biologic (cytokine levels) factors was evaluated both in univariate and multivariate analyses.

RESULTS: Forty patients (44%) experienced score 1 or more radiation pneumonitis. No association was found between baseline cytokine levels and the risk of radiation pneumonitis. In the whole population, mean levels of TNF{alpha}, IL-6, and IL-10 remained stable during radiotherapy. IL-6 levels were significantly higher (P = .047) during 3D-CRT in patients with radiation pneumonitis. In the multivariate analysis, covariations of IL-6 and IL-10 levels during the first 2 weeks of 3D-CRT were evidenced as independently predictive of radiation pneumonitis in this series (P = .011).

CONCLUSION: Early variations of circulating IL-6 and IL-10 levels during 3D-CRT are significantly associated with the risk of radiation pneumonitis. Variations of circulating IL-6 and IL-10 levels during 3D-CRT may serve as independent predictive factors for this complication.


    INTRODUCTION
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 Authors' Disclosures of...
 REFERENCES
 
Non–small-cell lung cancer (NSCLC) is the most common cancer in developed countries.1 Approximately 30% of lung cancer patients present at diagnosis without distant metastases, but with locally advanced or medically inoperable disease. For these patients, conventional (60 Gy over 6 weeks) thoracic radiation therapy (RT) has been the treatment of choice in the past, despite a local control of less than 20% and a 5-year survival rate in the range of 5% to 10%.2 Increased radiation doses,3 or adjunction of concomitant chemotherapy to RT,4 have produced a significant improvement of local control, although this is not always translated into survival gain for the patients because of a parallel increase of locoregional toxicity.5

Radiation pneumonitis (RP), which represents the acute expression of radio-induced lung damage, is one of these limiting toxicities. The symptoms of RP, especially dyspnea, are frequently out of proportion with the irradiated lung volume; resolution occurs spontaneously or after corticosteroid treatment in the majority of patients.6 However, 8% to 13% of NSCLC patients develop severe toxicity,6 and approximately 1.6% die from RP after thoracic radiotherapy.7

At the cellular level, RP is characterized by the infiltration of inflammatory cells into the pulmonary interstitium and alveolar spaces.8 Although the pathogenesis of RP remains unclear, this process may involve active interactions between cellular and humoral factors including immune and parenchymal cells, chemokines, and adhesion molecules. Research in radiation pulmonary injury has supported the involvement of cytokine factors in the development of RP.9 Animal data have shown an early overproduction of both pro-inflammatory (interleukin-1 [IL-1], tumor necrosis factor alpha [TNF{alpha}]) and pro-fibrogenic (transforming growth factor beta 1 [TGFß1]) cytokines during radiotherapy and have suggested a role of the sustained production of these cytokines in the development of acute and late pulmonary toxicities.9 In humans, some clinical reports have shown changes in the plasma concentration of TGFß110,11 and IL-612,13 during RT and suggested that these variations could identify patients at risk of RP.

The risk of developing RP after thoracic RT has been essentially based on measurements of dosimetric parameters (ie, total dose, dose per fraction, and volume of normal tissue irradiated). In NSCLC patients treated with three-dimensional conformal radiation therapy (3D-CRT), specific dose-volume histogram (DVH) parameters have been previously reported to be risk factors for RP. In particular, the mean lung dose (MLD)14,15 and the percentage of irradiated lung volume exceeding 20 Gy (V20) and 30 Gy (V30) have been identified as useful parameters to predict the risk of RP.15-19 However, none of these parameters can predict RP with absolute reliability. A recent review by Rodrigues et al20 has reported a high percentage of false-negative (ie, predicting low risk of RP whereas patient actually developed RP) rates for volume-dose thresholds and MLD among published studies. Therefore, there is a need to develop additional predictive tools that will help identify patients at risk for RP after 3D-CRT; the measurement of changes in cytokine levels during 3D-CRT may be useful in this setting.

In 1996, we initiated a large prospective study in 96 consecutive NSCLC patients treated with 3D-CRT to identify factors that might differentiate patients at high and low risk for RP. Results of this study showing that age ≥ 60 years, V20, V30, and MLD were predictive of RP in this population have been recently published.19 We present here additional data concerning the kinetic profile of pro-inflammatory (IL-6, TNF{alpha}) and anti-inflammatory (IL-10) cytokines before and during 3D-CRT in these patients, and we analyze the correlations between variations of these cytokine levels before and during 3D-CRT and the risk of developing radiation pneumonitis.


    PATIENTS AND METHODS
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 Authors' Disclosures of...
 REFERENCES
 
Patient Eligibility
From November 1996 to September 2000, 96 consecutive patients were enrolled onto this prospective study. Patients of older than 18 years of age with localized histologically or cytologically confirmed NSCLC, life expectancy more than 6 months, Karnofsky performance status ≥ 80, and good pulmonary function tests (PFTs; ratio of forced expiratory volume at 1 second on vital capacity ≥ 50%, ratio of diffusion capacity for carbon monoxide on alveolar volume ≥ 50%) were eligible. PFTs were performed immediately before 3D-CRT in the event of surgery or 28 days before 3D-CRT if surgery was not performed. Voluntary, written informed consent was obtained before registration from all patients. The protocol procedures were approved by an independent protocol review committee and an ethical committee.

Treatment Description
The modality of 3D-CRT has been previously discussed.18,19 Briefly, patients received conventional fractionated RT (2 Gy per fraction, 5 days per week). The total irradiation dose ranged from 46 to 72 Gy, with a median of 66 Gy. Target volumes (ie, gross tumor volume [GTV], clinical target volumes 1 and 2) were defined using the International Commission on Radiation Units and Measurements (ICRU) -50 report.21 The structures of interest, such as GTV, clinical target volumes, and normal structures, were contoured on multiple computed tomography pictures. Lungs were automatically contoured, excluding the GTV. Doses were calculated taking into account the tissue density heterogeneity, and DVHs of the lungs (considered as combined-paired organ) were calculated based on computed tomography–defined lung volumes. Total MLD, V20, and V30 were calculated from lung DVHs. The total MLD was calculated as follows: MLD = [(right lung volume x mean lung dose to right lung) + (left lung volume x mean lung dose to left lung)]/(left lung volume + right lung volume). 3D-CRT was performed using previously published DVH thresholds parameters, V20 and V30, corresponding to irradiated lung volume receiving more than 20 and 30 Gy, respectively.15,16

Evaluation of RP
The occurrence and severity of RP were prospectively determined 6 to 8 weeks and 6 months after the end of 3D-CRT using a scale derived from the Lent-Soma scale defined by the Radiation Therapy Oncology Group (RTOG) and the European Organisation for Research and Treatment of Cancer.22 Management items of the Lent-Soma classification22 were not considered in this study because, in France, corticosteroids are given early in the course of the disease, including for the treatment of score 2 RP, which might have artificially increased the rate of score 3 RP.

Thus RP was scored here from clinical symptoms, radiologic abnormalities, and loss of pulmonary function. This evaluation included three subjective scales (cough, dyspnea, and thoracic pain) and two objective scales (chest x-ray read by an independent committee of experts and PFTs [reduction of vital capacity and/or diffusion capacity for carbon monoxide on alveolar volume]). All single-scale measures ranged in score from 0 to 4. The final scoring was equal to the average of the five scores. For example, if one patient was scored as cough grade 1, dyspnea grade 1, thoracic pain grade 0, chest x-ray grade 2, PFTs grade 1, then the final score was (1 + 1 + 0 + 2 + 1)/5 = 1. RP was defined as the development of pulmonary toxicity of score ≥ 1.

Circulating Cytokines Analysis
IL-6, IL-10, and TNF{alpha} serum levels were determined before 3D-CRT (baseline), then every 2 weeks during 3D-CRT until the sixth week of treatment (ie, four serum samples). As previously described,23 the sera of the patients were collected and immediately stored at 4°C, then quickly centrifuged at 1,000 x g at 4°C for 10 minutes, and then stored frozen at –80°C after fractionation in 400 µL. IL-6, IL-10, and TNF{alpha} concentrations in the serum were measured using a specific enzyme immunoassay kit from Immunotech (Marseille, France), with a limit of detection of 3 pg/mL for IL-6 and 5 pg/mL for IL-10 and TNF{alpha}. Both assays use the quantitative sandwich enzyme immunoassay technique. All serum level determinations were performed in duplicate.

Statistical Analysis
Analyses were performed using SPSS version 11.5 (SPSS Inc, Chicago, IL). Differences between baseline cytokine levels in patients with and without RP were tested using the nonparametric Mann-Whitney’s exact test to allow for abnormal distributions. Analysis of variance for repeated measures was used to study associations between cytokine levels during 3D-CRT and the time factor, occurrence of RP, and time to RP. The univariate analysis of clinical and dosimetric factors predictive of RP was previously discussed.19 Briefly, standard statistical analysis methods were used to assess correlations between occurrence of RP and potential prognostic features in the univariate analysis; Pearson’s {chi}2 test or Fisher’s exact test were used for categoric variables, and Student’s t test for quantitative variables, as appropriate. In the multivariate analysis, a significant relationship with occurrence of RP (P ≤ .15) was used as the criterion for including a variable in a stepwise logistic regression procedure. In the stepwise procedure, a .15 significance level for entering and removing explanatory variables (clinical, dosimetric, changes in cytokine levels) was used to determine the independent risk factors for RP. The final model was chosen on the basis of those variables for which P ≤ .05. A two-way significance level of 5% was considered to be statistically significant in all analyses.


    RESULTS
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 Authors' Disclosures of...
 REFERENCES
 
Patient Characteristics
The characteristics of the patients are listed in Table 1. Of the 96 patients enrolled, six patients could not be evaluated for RP at 6 to 8 weeks after 3D-CRT. Two patients died before evaluation because of cancer progression, and four PFTs were not performed. Previous surgery was performed in 49 patients (51%). Sixty-three patients (66%) had previously received one line of chemotherapy. Eleven patients (11%) had received two lines, and none had received more than two lines of chemotherapy before RT. Finally, 24 (25%) of the 96 patients received a cisplatin-based regimen during RT.


View this table:
[in this window]
[in a new window]
 
Table 1. Patient Characteristics

 
Toxicity of 3D-CRT
RP at 6 to 8 weeks is shown in Table 2. At 6 to 8 weeks, RP score 1 or more occurred in 40 (44%) of the 90 patients evaluated, including seven patients (8%) with severe RP (score ≥ 2). Toxicity data were prospectively re-evaluated at 6 months. Ten of the 40 patients were lost to follow-up or had died early, and 22 patients (73%) experienced score ≥ 1 toxicity. Of the 33 patients with RP score 1 at 6 to 8 weeks, eight patients were lost to follow-up, 15 patients had RP score 1, and three patients had RP score 2. Finally, seven patients had improvement of RP.


View this table:
[in this window]
[in a new window]
 
Table 2. Scoring of the 90 Patients Evaluated for Radiotherapy-Related Pneumonitis at 6 to 8 Weeks

 
Profile of Cytokines at Baseline and RP
Cytokine levels at baseline and during 3D-CRT are shown in Figure 1. At baseline, median IL-6, IL-10, and TNF{alpha} levels were 0.1 pg/mL (range, 0.1 to 479 pg/mL), 8 pg/mL (range, 0.1 to 194 pg/mL), and 10 pg/mL (range, 0.1 to 459 pg/mL), respectively. None of the cytokine baseline levels were significantly associated with the occurrence of RP (Table 3).



View larger version (11K):
[in this window]
[in a new window]
 
Fig 1. Cytokine distribution at baseline and during three-dimensional conformal radiation therapy. (A) interleukin (IL)-6; (B) IL-10; (C) tumor necrosis factor alpha (TNF{alpha}). Central boxes represent 50% of the distribution of the values (inter-quartile range). The upper edge of a box indicates the 75th percentile, and the lower edge represents the 25th percentile. Central horizontal lines represent the median. The small circles represent distant values (ie, beyond 1.5 times the interquartile range).

 

View this table:
[in this window]
[in a new window]
 
Table 3. Comparison of Cytokine Levels at Baseline in Patients With and Without Radiation Pneumonitis at 6 to 8 Weeks

 
Profile of Cytokines During RT and RP
Serum cytokine levels did not vary significantly across the treatment period (data not shown). The analysis of variance showed that the occurrence of RP was significantly correlated with the variation of IL-6 levels during 3D-CRT (P = .047) but not with the variations of IL-10 (P = .19) and TNF{alpha} (P = .45). The difference between the patients who developed RP and those who did not was higher at 2 weeks of treatment, with a peak of IL-6 in patients with RP (Fig 2), and reached statistical significance (P = .025) in terms of relative change from baseline (ie, [IL-6 at 2 weeks –baseline IL-6]/baseline IL-6; Table 4). The chronologic changes in serial IL-10 levels showed a marked but nonstatistically significant (P = .33) increase of IL-10 levels in patients without RP during the first 2 weeks of 3D-CRT (Fig 3). Because IL-6 and IL-10 circulating levels showed opposite changes in RP and non-RP patients during the first 2 weeks of 3D-CRT, we used the categoric counterparts of relative changes in IL-6 and IL-10 levels to assign each patient to one of three groups: those with increased (relative change > 0) IL-6 and decreased (relative change ≤ 0) IL-10 levels (group 1), those with decreased IL-6 and increased IL-10 levels (group 2), and those with increased or decreased levels of both cytokines (group 0). The rates of occurrence of RP were 39%, 73%, and 18% in group 0 (43 patients), group 1 (15 patients), and group 2 (17 patients), respectively (Table 5).



View larger version (10K):
[in this window]
[in a new window]
 
Fig 2. Variations of interleukin-6 (IL-6) at baseline and during three-dimensional conformal radiation therapy (3D-CRT) for patients who did (n = 27) or did not (n = 40) develop radiation pneumonitis (RP) 6 to 8 weeks after 3D-CRT. The solid line with circles represents IL-6 levels (mean values) in patients with RP (score ≥ 1). The line with squares represents IL-6 levels (mean values) in patients with no RP (score 0). Error bars represent SEs of the means.

 

View this table:
[in this window]
[in a new window]
 
Table 4. Comparison of Patterns of Change in Interleukin Levels Between Baseline and 2 Weeks of Treatment in Patients With and Without Radiation Pneumonitis at 6 to 8 Weeks

 


View larger version (10K):
[in this window]
[in a new window]
 
Fig 3. Variations of interleukin-10 (IL-10) at baseline and during three-dimensional conformal radiation therapy (3D-CRT) for patients who did (n = 27) or did not (n = 40) develop radiation pneumonitis (RP) 6 to 8 weeks after 3D-CRT. The solid line with circles represents IL-10 levels (mean values) in patients with RP (score ≥ 1). The line with squares represents IL-10 levels (mean values) in patients with no RP (score 0). Error bars represent SEs of the means.

 

View this table:
[in this window]
[in a new window]
 
Table 5. Comparison of Covariations in the Relative Changes of IL-6 and IL-10 Levels During the First 2 Weeks of 3D-CRT in Patients With and Without Radiation Pneumonitis at 6 to 8 Weeks

 
Clinical, Functional, and Dosimetric Factors Predictive for RP at 6 to 8 Weeks
The results concerning the predictive impact of clinical and dosimetric factors have been previously described19 (Table 6). In the univariate analysis, none of the clinical or functional factors (PFTs) were statistically significantly associated with the occurrence of RP, except age at the time of inclusion (P = .009). The analysis of previously defined irradiated lung volume thresholds showed that more than 18%, 13%, and 10% of lung volume irradiated to 20, 30, and 40 Gy, respectively, were statistically significant thresholds predictive for predicting RP (P = .03). MLD was also significantly associated with RP in the univariate analysis (P = .009).


View this table:
[in this window]
[in a new window]
 
Table 6. Univariate Analysis of Risk Factors of Radiation Pneumonitis: Clinical, Dosimetric, and Functional Factors

 
Multivariate Analysis
The five variables included in the multivariate analysis were age, previous surgery, MLD, and covariations of IL-6 and IL-10 levels. Two different parameters were evidenced as independent prognostic factors for RP in this series, notably covariations of IL-6 and IL-10 levels (P = .011; Table 7). Elevated IL-6 levels associated with decreased IL-10 levels during the first 2 weeks of 3D-CRT (group 1) were linked with a greater than four-fold possibility of RP at 6 to 8 weeks, whereas decreased IL-6 levels with elevated IL-10 levels (group 2) reduced the risk for RP by more than four-fold at the same period. MLD was found to be an independent prognostic factor for RP at 6 to 8 weeks (P = .017).


View this table:
[in this window]
[in a new window]
 
Table 7. Results of the Multivariate Analysis of Risk Factors for Radiation Pneumonitis at 6 to 8 Weeks

 
The same analysis repeated at 6 months failed to show any statistically significant correlation between early variations of IL-6 and IL-10 levels and the risk for RP at 6 months (data not shown). In contrast, in the same period, MLD was again found to be an independent prognostic factor for RP.


    DISCUSSION
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 Authors' Disclosures of...
 REFERENCES
 
In this article, we report a high incidence (44%) of RP in NSCLC patients treated with 3D-CRT. Although the incidence of RP has been the subject of numerous reports, rates vary significantly between studies. The lack of consensus on uniform criteria for defining RP makes it difficult to compare the incidence and severity of RP across studies and may explain the high variability of RP incidence observed by Mosvas et al in their review.6 For instance, some authors have used their own scoring system16,24 and others have used the Southwest Oncology Group classification14,25 in which grade 2 toxicity is defined as a need for corticosteroid therapy, whereas the same grade is defined as mild or moderate symptoms without corticosteroid requirement in the RTOG classification.3 In this study, we used a classification derived from the Lent-Soma (Late Effect on Normal Tissues—Subjective, Objective, Management, and Analytic) scale, defined by both the RTOG and the European Organisation for Research and Treatment of Cancer.22 This classification is based not only on subjective (clinical) evaluation of RP but also on objective measurements of loss of pulmonary function and radiologic changes and probably allows a more precise and reproducible evaluation of the incidence and severity of RP than clinical-based scoring systems. In our study, the large majority (82%) of RP patients had score 1 toxicity, whereas 6% had score 2, 1.1% had score 3, and no patient had score 4 toxicity. The high rate of RP observed in our study is thus mainly due to score 1 toxicity. Actually, our results compare favorably with other prospective studies in which a range of 7% to 10% of grade 2 toxicity was observed after 3D-CRT, using various scoring scales.14,16,25

In many publications regarding predictive factors for pulmonary toxicity, RP is defined essentially using clinical symptoms11,16,26 or is only considered as relevant if the score of toxicity is grade 2 or higher.14 These methods consequently do not consider score 1 toxicities, which probably represent the large majority of events observed after 3D-CRT, as demonstrated in our study. Although they are only slight complications with minimal clinical expression, patients with these score 1 toxicities nonetheless experience genuine toxic events in comparison with patients who do not develop any clinically, radiologically, or functionally measurable acute radio-induced reaction. Moreover, as demonstrated in this study, a majority of patients with RP score 1 at 6 to 8 weeks also experienced score ≥ 1 toxicity at 6 months. The main objective of our study was to investigate variations of circulating cytokines during 3D-CRT and to correlate these variations with the risk of developing RP, whatever its intensity. From this pathogenic point of view, and as a patient can develop a genuine RP without marked clinical signs, it was decided to consider the whole spectrum of expression of RP, including score 1 toxicity, according to the criteria defined above.

To our knowledge, this is one of the largest prospective studies investigating circulating cytokines before and during 3D-CRT in a population of patients treated for NSCLC in the same institution. No statistically significant correlation was found between baseline levels of cytokines before RT and the risk for developing RP. Concerning pro-inflammatory cytokines, Chen et al13 reported no correlation between baseline TNF{alpha} and the incidence of RP. However, they also reported that baseline IL-6 was increased in patients who did develop grade 1 and 2 RP according to the National Cancer Institute common toxicity criteria. A similar trend was observed in the present study for baseline IL-6 in patients who did and those who did not develop RP (15.7 pg/mL v 7.6 pg/mL, respectively), but the difference did not reach statistical significance (P = .56). However, the scoring methods, the type of enzyme-linked immunosorbent assay test used, and the characteristics of the populations (87% of the 25 patients included had gross disease at the time of irradiation in Chen’s study) were different between the two studies, thus providing a potential explanation for this discrepancy. Elevations of IL-6 and IL-10 circulating levels have also previously been described in patients with NSCLC and were related to tumor cell or stromal cell production. IL-6 levels are significantly more elevated in the bronchoalveolar lavage (BAL) fluid of patients with NSCLC than in patients with nonmalignant disease,27 and elevated IL-10 plasma concentrations have been found in NSCLC patients and were correlated with reduced survival.28 Taken together, these observations suggest that cytokine levels before RT are a nonspecific process that may be influenced by many parameters, including pre-RT treatments, tumor and/or stromal cell production, or host-associated disease.

Although circulating IL-6 and IL-10 levels remained stable in the whole population during 3D-CRT, their circulating levels showed a statistically significant opposite evolution between RP and non-RP patients included in our study. IL-6 levels remained significantly elevated throughout the treatment in RP patients in comparison with non-RP patients, with a significant peak elevation at 2 weeks of treatment. IL-6 is a multifunctional cytokine involved in the regulation of immunologic and inflammatory response.29 In the lung parenchyma, IL-6 is synthesized by a large variety of cells, including alveolar macrophages, type 2 pneumocytes, T lymphocytes, and fibroblasts.30-32 Recently, IL-6 concentration has been reported to be elevated in the BAL fluid of patients treated with thoracic RT for NSCLC.33 Of note, this increase was only observed in irradiated areas, strongly suggesting a specific inducing role of ionizing RT in this local overproduction. Elevated circulating IL-6 levels during RT have also been recently correlated with an increased risk of developing RP in a preliminary study12 that reported higher IL-6 levels in the group of RP patients throughout the treatment. The present observation made from a larger cohort of patients treated by 3D-CRT confirms these results and further suggests that the maximal intensity of overproduction occurs in the first weeks of treatment.

IL-10 is an anti-inflammatory cytokine produced by monocytes and macrophages. One of its main functions is to downregulate inflammation by blocking the production of pro-inflammatory cytokines, such as IL-6, and reducing the function of antigen-presenting cells.34,35 In our study, IL-10 levels remained low in RP patients throughout the treatment, whereas a consistent elevation of circulating IL-10 was observed at 2 weeks in non-RP patients. The lack of statistical difference between RP and non-RP groups, despite the magnitude of the difference between mean IL-10 levels at 2 weeks in RP and non-RP patients (56.9 pg/mL v 409.0 pg/mL), may be due to the wide dispersion of IL-10 values observed in RP and non-RP patients. This variation of IL-10 production may indeed reflect differences in the IL-10 producing capacity of each individual related to IL-10 gene promoter differences, as recently reported in non-Hodgkin’s lymphomas.36

Because cytokines mutually regulate their production with synergistic or antagonistic biologic effects, the role of each given cytokine must be considered in this complex interactive network. In our study, the opposite evolution of circulating IL-6 and IL-10 levels during the first 2 weeks of 3D-CRT was significantly associated with the risk of subsequent RP and seemed to be an independent predictive factor for early radio-induced toxicity in multivariate analysis. To our knowledge, this is the first observation that early variations of biologic markers during thoracic RT are an independent predictive factor for RP. This indicates that such variations could be an additional predictive tool to be used in association with dosimetric parameters such as MLD, V20, or V30 for a more precise evaluation of the risk of early radio-induced toxicity. Furthermore, these results also suggest that the balance between pro-inflammatory and anti-inflammatory cytokine secretions during the first weeks of irradiation may be involved in the pathogenesis of RP.

RP is a frequent complication of lung RT for which the biologic mechanisms remain unclear. However, several lines of evidence suggest that RP could represent the clinical expression of a bilateral lymphocytic alveolitis, reflecting the inflammatory and immune response of the lung tissue damaged by ionizing radiation, similar to that seen in farmer’s lung disease or pigeon breeders’ disease.37-39 Indeed, bilateral lymphocytic alveolitis seems to be a common process after strictly unilateral thoracic irradiation. In 1995, Morgan et al, using both BAL and gallium lung scan, observed that 75% of women irradiated for breast cancer had a bilateral lymphocytic alveolitis with CD4+ lymphocyte infiltration 1 month after the end of RT.37 These findings were confirmed later by others38 in a larger population of women treated for breast cancer, with 85% of the patients presenting a bilateral lymphocytic alveolitis in BAL after strictly unilateral thoracic irradiation, even if they were asymptomatic. Like other immune and inflammatory processes, this alveolitis may be regulated by direct cell-cell interaction and indirect cell-cell communication by production of cytokines. Interestingly, Yoshida et al40 demonstrated in 1995 that the overexpression of IL-6 and IL-6 receptor by in vivo transfection in Wistar rats can experimentally induce profound lymphocytic alveolitis without marked fibrosis, although the overexpression of TGFß1 by the same method is associated with fibrosis with minimal associated alveolitis. These experimental data suggest that IL-6 overproduction is relevant to alveolitis but not to fibrosis. Moreover, recent human data have shown a positive link between IL-6 level in BAL and the number of lymphocytes in BAL fluids in patients with idiopathic nonspecific interstitial pneumonia and with usual interstitial pneumonia.41 Taken together, these results support the active involvement of IL-6 as one of the causes of lymphocytic alveolitis both in experimental models and in human lung disease. Concerning RP, which is thought to be a lymphocytic alveolitis, the occurrence of a significant peak of IL-6 in the first weeks of treatment in patients with subsequent RP is in accordance with this hypothesis. Because the opposite evolution of IL-6 and IL-10 levels during the first 2 weeks of 3D-CRT were significantly related to the occurrence of RP in our study, this also suggests that a defect in IL-10 anti-inflammatory response is likely to contribute to this phenomenon.

In conclusion, the present study reports a significant correlation between the variations of circulating IL-6 and IL-10 levels in the first weeks of 3D-CRT and the risk of RP in patients with NSCLC. Further studies with particular attention to low RP grades are needed for confirmation. If confirmed, these results should give rise to novel and specific prevention strategies for RP.


    Authors' Disclosures of Potential Conflicts of Interest
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 Authors' Disclosures of...
 REFERENCES
 
The authors indicated no potential conflicts of interest.


    Acknowledgment
 
We thank Marie-Dominique Reynaud for editorial help.


    NOTES
 
Supported by grants from the French Ministry of Health (PHRC No. 2701), La Ligue Contre le Cancer de l'Ain (France), and La Ligue Contre le Cancer du Rhône (France), and European Society of Medical Oncology.

Presented in part at the 40th Annual Meeting of the American Society of Clinical Oncology, June 5-8, 2004, New Orleans, LA.

D.A., D.P., J.-Y.B., and C.C. contributed equally to this work.

Authors' disclosures of potential conflicts of interest are found at the end of this article.


    REFERENCES
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 Authors' Disclosures of...
 REFERENCES
 
1. Parkin DM: Global cancer statistics in the year 2000. Lancet Oncol 2:533-543, 2001[CrossRef][Medline]

2. Le Chevallier T, Arriagada R, Quoix E, et al: Radiotherapy alone versus combined chemotherapy and radiotherapy in unresectable non-small cell lung cancer: First analysis of a randomized trial in 353 patients. J Natl Cancer Inst 83:417-423, 1991[Abstract/Free Full Text]

3. Cox J, Azarnia N, Byhardt J, et al: A randomized I/II trial of hyperfractionated radiation therapy with total doses of 60.0 Gy to 79.2 Gy: Possible survival benefit with >69.6 Gy in favorable patients with Radiation Therapy Oncology Group stage III non-small-cell lung carcinoma—Report of Radiation Therapy Oncology Group 83-11. J Clin Oncol 8:1543-1555, 1990[Abstract]

4. Furuse K, Fukuoka M, Kawahara M, et al: Phase III study of concurrent versus sequential thoracic radiotherapy in combination with mitomycin, vindesine, and cisplatin in unresectable stage III non-small-cell lung cancer. J Clin Oncol 17:2692-2699, 1999[Abstract/Free Full Text]

5. Onishi H, Kuriyama K, Yamaguchi, et al: Concurrent two-dimensional radiotherapy and weekly docetaxel in the treatment of stage III non-small-cell lung cancer: A good local response but no good survival due to radiation pneumonitis. Lung Cancer 40:79-84, 2003[CrossRef][Medline]

6. Mosvas B, Raffin TA, Epstein AH, et al: Pulmonary radiation injury. Chest 111:1061-1076, 1997[Free Full Text]

7. Ohe Y, Yamamoto S, Suzuki K, et al: Risk factors of treatment-related death in chemotherapy and thoracic radiotherapy for lung cancer. Eur J Cancer 37:54-63, 2001

8. Trott KM, Herrmann T, Kasper M: Target cells in radiation pneumopathy. Int J Radiat Oncol Biol Phys 58:463-469, 2004[CrossRef][Medline]

9. Rubin P, Johnston CJ, Williams JP, et al: A perpetual cascade of cytokines postirradiation leads to pulmonary fibrosis. Int J Radiat Oncol Biol Phys 33:99-109, 1995[CrossRef][Medline]

10. Anscher MS, Kong FM, Marks LB, et al: Changes in plasma transforming growth factor beta during radiotherapy and the risk of symptomatic radiation-induced pneumonitis. Int J Radiat Oncol Biol Phys 37:253-258, 1997[CrossRef][Medline]

11. Anscher MS, Kong FM, Andrews K, et al: Plasma transforming growth factor beta 1 as a predictor of radiation pneumonitis. Int J Radiat Oncol Biol Phys 41:1029-1035, 1998[CrossRef][Medline]

12. Chen Y, Williams J, Ding I, et al: Radiation pneumonitis and early circulatory cytokines markers. Semin Radiat Oncol 12:26-33, 2002[CrossRef][Medline]

13. Chen Y, Rubin P, Williams J, et al: Circulating IL-6 as a predictor of radiation pneumonitis. Int J Radiat Oncol Biol Phys 49:641-646, 2001[CrossRef][Medline]

14. Kwa SL, Lebesque JV, Theuws JC, et al: Radiation pneumonitis as a function of mean lung dose: An analysis of pooled data of 540 patients. Int J Radiat Oncol Biol Phys 42:1-9, 1998[Medline]

15. Graham MV, Purdy JA, Emami B, et al: Clinical dose-volume histogram analysis for pneumonitis after 3D treatment for non-small cell lung cancer (NSCLC). Int J Radiat Oncol Biol Phys 45:323-329, 1999[Medline]

16. Hernando ML, Marks LB, Bentel GC, et al: Radiation-induced pulmonary toxicity: A dose volume histogram analysis in 201 patients with lung cancer. Int J Radiat Oncol Biol Phys 51:650-659, 2001[CrossRef][Medline]

17. Rancati T, Ceresoli GL, Gagliardi G, et al: Factors predicting radiation pneumonitis in lung cancer patients: A retrospective study. Radiother Oncol 67:275-283, 2003[CrossRef][Medline]

18. Sunyach MP, Falchero L, Pommier P, et al: Prospective evaluation of early lung toxicity following three-dimensional conformal radiation therapy in non-small-cell lung cancer: Preliminary results. Int J Radiat Oncol Biol Phys 48:459-463, 2000[CrossRef][Medline]

19. Claude L, Perol D, Ginestet C, et al: A prospective study on radiation pneumonitis following conformal radiation therapy in non-small-cell lung cancer: Clinical and dosimetric factors analysis. Radiother Oncol 71:175-181, 2004[CrossRef][Medline]

20. Rodrigues G, Lock M, D'Souza D, et al: Prediction of radiation pneumonitis by dose-volume histogram parameters in lung cancer: A systematic review. Radiother Oncol 71:127-138, 2004[CrossRef][Medline]

21. ICRU-50: Prescribing, Recording, Reporting, Photon Beam Therapy. Washington, DC, International Commission on Radiation Units and Measurements, 1994

22. LENT SOMA Tables. Radiother Oncol 35:17-60, 1995[CrossRef][Medline]

23. Negrier S, Perol D, Menetrier-Caux C, et al: Interleukin-6, interleukin-10, and vascular endothelial growth factor in metastatic renal cell carcinoma: Prognostic value of interleukin-6. J Clin Oncol 22:2371-2378, 2004[Abstract/Free Full Text]

24. Koga K, Kusumoto S, Watanabe K, et al: Age factor relevant to the development of radiation pneumonitis in radiotherapy of lung cancer. Int J Radiat Oncol Biol Phys 14:367-371, 1988[Medline]

25. Martel MK, Ten Haken RK, Hazuka MB, et al: Dose-volume histogram and 3-D treatment planning evaluation of patients with pneumonitis. Int J Radiat Oncol Biol Phys 28:575-581, 1994[Medline]

26. Monson JM, Stark P, Reily JJ, et al: Clinical radiation pneumonitis and radiographic changes after thoracic radiation therapy for lung carcinoma. Cancer 82:842-850, 1998[CrossRef][Medline]

27. Matanic D, Beg-Zec Z, Stojanovic D, et al: Cytokines in patients with lung cancer. Scand J Immunol 57:173-178, 2003[CrossRef][Medline]

28. Neuner A, Schindel M, Wildenberg U, et al: Cytokine secretion: Clinical relevance of immunosuppression in non-small cell lung cancer. Lung Cancer 34:S79-S82, 2001 (suppl 2)

29. Kaplanski G, Marin V, Montero-Julian F, et al: IL-6: A regulator of the transition from neutrophil to monocyte recruitment during inflammation. Trends Immunol 24:25-29, 2003[CrossRef][Medline]

30. Kelley J: Cytokines of the lung. Am Rev Respir Dis 141:765-788, 1990[Medline]

31. Crestani B, Cornillet P, Dehoux M, et al: Alveolar type II epithelial cells produce interleukine-6 in vivo and in vitro: Regulation by alveolar macrophage secretory products. J Clin Invest 94:731-740, 1994

32. Elias JA, Lentz V, Cummings P: Transforming growth factor beta regulation of IL-6 production by unstimulated and IL-1 stimulated human fibroblasts. J Immunol 146:3437-3443, 1991[Abstract]

33. Barthelemy-Brichant N, Bosquee L, Cataldo D, et al: Increased IL-6 and TGF-beta 1 concentrations in bronchoalveolar lavage fluid associated with thoracic radiotherapy. Int J Radiat Oncol Biol Phys 58:758-767, 2004[CrossRef][Medline]

34. Mocellin S, Panelli M, Wang E, et al: The dual role of IL-10. Trends Immunol 24:36-42, 2003[CrossRef][Medline]

35. Conti P, Kempuraj D, Di Gioacchino M, et al: IL-10, an inflammatory/inhibitory cytokine, but not always. Immunol Lett 86:123-129, 2003[CrossRef][Medline]

36. Lech-Meranda E, Baseggio L, Bienvenu J, et al: Interleukin-10 gene promoter polymorphisms influence the clinical outcome of diffuse large B-cell lymphoma. Blood 103:3529-3534, 2004[Abstract/Free Full Text]

37. Morgan GW, Breit SN: Radiation and the lung: A reevaluation of the mechanisms mediating pulmonary injury. Int J Radiat Oncol Biol Phys 31:361-369, 1995[CrossRef][Medline]

38. Martin C, Romero S, Sanchez-Paya J, et al: Bilateral lymphocytic alveolitis: A common reaction after unilateral thoracic irradiation. Eur Respir J 13:727-732, 1999[Abstract]

39. Abratt RP, Morgan GW: Lung toxicity following chest irradiation in patients with lung cancer. Lung Cancer 35:103-109, 2002[CrossRef][Medline]

40. Yoshida M, Sakuma J, Hayashi S, et al: A histologically distinctive interstitial pneumonia induced by overexpression of the interleukin 6, transforming growth factor beta 1, or platelet-derived growth factor B gene. Proc Natl Acad Sci U S A 92:9570-9574, 1995[Abstract/Free Full Text]

41. Park CS, Chung SW, Ki SY, et al: Increased levels of interleukin-6 are associated with lymphocytosis in bronchoalveolar lavage fluids of idiopathic non specific interstitial pneumonia. Am J Respir Crit Care Med 162:1162-1168, 2000[Abstract/Free Full Text]

Submitted February 23, 2005; accepted August 29, 2005.


Add to CiteULike CiteULike   Add to Complore Complore   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Facebook Facebook   Add to Reddit Reddit   Add to Technorati Technorati   Add to Twitter Twitter    What's this?


This article has been cited by other articles:


Home page
Clin. Cancer Res.Home page
J. E. Bower, P. A. Ganz, M. L. Tao, W. Hu, T. R. Belin, S. Sepah, S. Cole, and N. Aziz
Inflammatory Biomarkers and Fatigue during Radiation Therapy for Breast and Prostate Cancer
Clin. Cancer Res., September 1, 2009; 15(17): 5534 - 5540.
[Abstract] [Full Text] [PDF]


This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Purchase Article
Right arrow View Shopping Cart
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a colleague
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Save to my personal folders
Right arrow Download to citation manager
Right arrowRights & Permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Arpin, D.
Right arrow Articles by Carrie, C.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Arpin, D.
Right arrow Articles by Carrie, C.
Social Bookmarking
 Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Facebook   Add to Reddit   Add to Technorati   Add to Twitter  
What's this?

About
JCO
 Editorial
Roster
 Advertising
Information
 Librarians &
Institutions
 Rights &
Permissions
 PDA Services

Copyright © 2005 by the American Society of Clinical Oncology, Online ISSN: 1527-7755. Print ISSN: 0732-183X
Terms and Conditions of Use
  HighWire Press HighWire Press™ assists in the publication of JCO Online