Changes in the plasma levels of cytokines/chemokines for predicting the response to chemoradiation therapy in rectal cancer patients
- Authors:
- Published online on: November 19, 2013 https://doi.org/10.3892/or.2013.2857
- Pages: 463-471
Abstract
Introduction
Surgical resection is one of the most reliable treatment modalities for rectal cancer (RC), which is one of the commonest malignancies in the world. At present, concurrent chemoradiation therapy (CRT) is the standard treatment modality, which, when administered preoperatively, is useful for tumor downstaging, for increasing the curative resection rate, and for decreasing the local recurrence rate (1–3). There is, however, inter-individual variability in the response to CRT, thus, in order to avoid its indication for those who will not benefit from it, it is desirable to identify the individuals who are less sensitive to CRT. However, at present, no effective markers of the response to CRT have been reported.
The response to CRT depends not only on the direct injury of cancer cells by chemotherapeutic agents and/or the radiation, but also on the tumor antigen-specific T-cell responses elicited by the injured cancer cells. It is well-known that the biological behavior of cancer cells, or the tumor microenvironment, which includes inflammatory cells and cytokines, might determine, or at least influence, the response to therapy (4–6).
The immune system is divided into innate and adaptive, which extensively interact (crosstalk) with each other. The innate response includes several cellular effectors, such as natural killer (NK) cells, macrophages, dendritic cells (DCs), and plays an important role as the first line of defense. Adaptive immunity is a more specific response, which is mediated by antibodies and helper [CD4(+)] and cytotoxic [CD8(+)] T-cells. Both innate and adaptive immune responses play an important role in antitumor immunity. Recently, the existence of cells with suppressive effects on the immune system, namely regulatory T-cells (Tregs) and myeloid-derived suppressor cells (MDSCs), which play important roles in the escape of cancer cells from the host immune response, thus contributing to the development and progression of cancer, has been reported (7,8). Therefore, the balance between the antitumor effector cells and the immunosuppressive cells is important in determining the response to therapy.
Generally, cancer cells and immune cells interact with each other through direct cell-cell contact or by production of soluble factors, such as cytokines. Cancer cells are known as an important source of inflammatory cytokines/growth factors, and the production of different cytokines in the tumor microenvironment determines cancer behavior. Alternatively, cytokines can be produced by effector cells that promote antitumor immunity, inhibiting tumor development and progression. By contrast, cytokines that promote tumor growth, attenuate apoptosis and facilitate invasion and metastasis can be produced by host immune cells (6,9–11). An endocrine loop between cancer cells, effector and suppressor cells, cross-linked by tumor-derived soluble factors, such as transforming growth factor-β (TGF-β) and interleukin (IL)-10, can generate a potent immunoinhibitory effect on the antitumor immune response, promoting cancer cell survival and proliferation. Thus, this complex interaction between cancer cells and the host immune system, involving production of cytokines, may play an important role in the response to CRT.
In a recent report (Tada et al, unpublished data), we investigated the predictive value of host immune cells, especially lymphocyte subsets, in the response of RC to CRT, and found that the pre-CRT counts of T-lymphocytes and helper T-lymphocytes significantly correlated with the response to CRT.
In the present study, we aimed to investigate the concentrations of various cytokines in the plasma of RC patients receiving CRT, and their correlation with the response to therapy, in an attempt to find potential predictive markers of the response to CRT, which would help the selection of those patients who would or would not benefit from receiving therapy, and to understand the complex interaction between cancer cells and the tumor microenvironment, mediated by various cytokines.
Materials and methods
Patients
The study protocol was approved by the local ethics committee, and written informed consent was obtained from all patients. The studied population included 35 consecutive patients with primary RC of clinical stage T3-4 and M0, receiving treatment at the Department of Surgical Oncology, the University of Tokyo Hospital, in the period between January 2010 and August 2012.
The enrolled patients received a total dose of 50 Gy of radiation and concomitant 5-FU-based chemotherapy, followed by standardized curative resection, applied in an interval of 6–8 weeks. Peripheral venous blood samples were obtained before neoadjuvant CRT and 4–6 weeks following completion of CRT, prior to surgery.
Flow cytometry
Peripheral blood cells (PBS) were analyzed on the FACSCalibur flow cytometer using the Multiset software package, and the collected data were analyzed using the CellQuest software (all from BD Biosciences, San Jose, CA, USA).
A combination of fluorescein isothiocyanate (FITC) and phycoerythrin (PE)-conjugated monocolonal antibody (BD Biosciences) was used to identify the lymphocyte subsets and the MDSCs, as follows: CD3(+)/CD19(−) for the T-lymphocytes, CD3(−)/CD19(+) for the B-lymphocytes, CD3(−)/CD56(+) for the NK cells, and CD33(+)/HLA(−)DR(−) for MDSCs (Table I).
Biochemical determination
The serum samples were clarified by spinning at 3,000 rpm for 10 min at 20–25°C, and immediately stored at −40°C prior to biochemical analyses. The serum concentration of IL-2, IL-4, IL-6, IL-10, interferon (IFN)-γ, tumor necrosis factor (TNF)-α, monocyte-chemoattractant protein (MCP)-1, chemokine ligand-5 [(CCL-5, previously known as regulated on activation normal T-cell expressed and secreted (RANTES)], tumor necrosis factor-related apoptosis inducing ligand (TRAIL) and soluble CD40-ligand (sCD40L) was measured using a Procarta polystyrene bead-based multiplex immunoassay (Affymetrix, Inc., Santa Clara, CA, USA) on the Luminex instrument and the data were analyzed using the Luminex IS2.2/2.3 software.
Histological study
All the resected specimens were histologically examined, and the findings were recorded in accordance with the TMN classification. The histological regression of the primary rectal lesions in response to CRT was evaluated by pathologists, and classified as high or low, based on the amount of residual cancer, according to the Japanese Classification of Colorectal Carcinoma: cases in which more than two-thirds of the cancer had degraded, necrotized, or disappeared were classified as high histological regression (High-R), and those with less than two-third reduction were classified as low histological regression (Low-R).
Statistical Analysis
The analyses of the associations between the serum concentration of cytokines and the clinicopathological variables were carried out using the Mann-Witney U test. The difference in the serum pre- and post-CRT concentration of cytokines was calculated using the Wilcoxon matched paired t-test. All analyses were performed with JMP 9.0 software, and a P-value <0.05 was considered to indicate a statistically significant difference.
Results
The clinicopathological features of the patients are provided in Table II. Among them, 23 (65.7%) were male and 12 (34.3%)female. The median age was 62 (range 43–85) years. According to the pathological response to CRT, the patients were divided into two groups, i.e., low response (Low-R) (18 cases, 51.4%) and high response (High-R) (17 cases, 48.6%), and the four cases of pathological complete response (CR) were included in the High-R.
First, the correlation between the pre-/post-CRT cytokine levels and clinicopathological factors of the patients was evaluated. A significant correlation between pre-CRT levels of sCD40L and the depth of invasion and the venous invasion was observed (Table III), but the correlation was not found in the post-CRT. Cases of T0-2, i.e., those with remarkable dowsizing of T factor, showed significantly higher concentrations of pre-CRT sCD40L compared to those without (T3–4), and cases without venous invasion had higher levels of sCD40L than those without. Similarly, post-CRT levels of CCL-5 significantly correlated with the depth of tumor invasion and with venous invasion, with higher levels found in the ypT3-4 cases compared to ypT0-2 ones, and in those with venous invasion compared to those without (Table III).
Next, the plasma levels of various cytokines were compared between pre- and post-CRT samples, and a significant decrease in the level of sCD40L was observed in post-CRT compared to pre-CRT (Fig. 1). The levels of IL-6 showed a tendency to increase in post-CRT samples, but this result was not statistically significant. There were no significant differences between the pre- and post-CRT concentrations of the other cytokines tested, namely IL-2, IL-4, IL-10, IFN-γ, TNF-α, MCP-1, CCL-5 and TRAIL. Next, the pre- and post-CRT levels of the plasma cytokines were analyzed according to the pathological response to CRT, i.e., High-R and Low-R. A significant difference between High-R and Low-R was observed in the post-CRT levels of IL-6 and TNF-α, both being higher in Low-R compared to High-R. None of the pre-CRT cytokine levels correlated with the pathological response to CRT (Table IV). Next, we compared the pre- and post-CRT concentration of the plasma cytokines in High-R and Low-R. The mean post-CRT levels of sCD40L and CCL-5 were significantly lower compared to the pre-CRT ones in the High-R, but not in the Low-R (Fig. 2). In addition, post-CRT platelet counts were significantly decreased compared to the pre-CRT values in both High-R and Low-R, while the difference was more evident in the High-R. By contrast, the post-CRT level of IL-6 was significantly higher compared to the pre-CRT one in the Low-R, but not in the High-R. No significant differences were observed between the pre- and post-CRT concentrations in samples of different pathological response to CRT for the rest of the cytokines.
Since it is well-known that most sCD40L and CCL-5 are produced by platelets and T-lymphocytes, next, we analyzed the correlation between platelet counts and the plasma levels of sCD40L and CCL-5, pre- and post-CRT, according to the response to CRT. Notably, we found that the pre-CRT sCD40L significantly correlated with platelet counts only in pre-CRT samples of High-R, but not in Low-R (Fig. 3A). No such correlation was found between the post-CRT levels of CD40L and the platelet counts in either group (Fig. 3B). In addition, no correlation was found between the plasma levels of CCL-5 and platelet counts, either pre- or post-CRT, in either High-R or Low-R. As expected, a tendency for a negative correlation between pre-CRT sCD40L and CCL-5 levels was observed only in the High-R (R=−0.36, P=0.15), but not in the Low-R (R=0.02). Also, no correlation was observed between post-CRT levels of sCD40L and CCL5 in either High-R or Low-R (data not shown).
Next, the involvement of the immune cells in the response to therapy was evaluated in High-R and Low-R. The pre-CRT T-lymphocyte counts in High-R were significantly higher than those in Low-R (Table V), whereas in the post CRT samples, no difference between Low-R and High-R was observed. However, no correlation was found between CD3(+) T-cell counts and sCD40L in either pre- or post-CRT, in either High-R or Low-R. Moreover, there was no correlation between the pre-CRT CCL-5 level and CD3(+) T-cell counts, in either High-R or Low-R (data not shown). The post-CRT CCL-5 level, however, showed a negative, but not significant, correlation with CD3(+) T-cell counts in the High-R (R=−0.37, P=0.14), whereas a positive, but not significant, correlation was observed in the Low-R (R=0.33, P=0.18) (data not shown).
To evaluate the hypothesis that sCD40L plays an immunosuppressive role, we analyzed the percentage of MDSCs in peripheral blood. No significant change in the percentage of MDSCs was observed post-CRT (P=0.26), compared to pre-CRT, and also no differences between Low-R and High-R were observed (pre-CRT, P=0.31; post-CRT, P=0.91) (Table V). In addition, no correlation between the percentage of MDSCs and the concentration of sCD40L was found.
Discussion
It was previously believed that the antitumor effects of CRT were almost completely dependent on the direct injury of tumor cells by anticancer agents and/or irradiation, but recently, it was confirmed that the immune system further contributes to the antitumor effects of CRT (12).
Exposure to irradiation leads to an inflammatory response that is highly heterogeneous, but only few reports have analyzed the relevant mechanism, especially related to changes in cytokines and inflammatory cells. Both the innate and the adaptive immune responses are orchestrated by cytokines, which establish the most efficient machinery for preventing cancer growth and progression. By contrast, a number of cytokines might have inhibitory effects on this machinery, leading to the promotion of tumor growth (6,9–11).
To date, numerous studies have been conducted to evaluate the prognostic factors of RC patients receiving CRT, but only few reports have focused on the plasma cytokines, such as IL-6, TGF-β, IL-10 and sCD40L, and the reported findings on their correlation with the response to CRT have been ambiguous (4,13–15). In prostate cancer patients receiving radiotherapy, increased levels of IL-6, but not IL-2, IL-4, or TNF-α, 15 days following radiotherapy (RT), were found to correlate with a marked decrease in PSA level (16). Other cytokines, such as IL-1 and TGF-β, have also been reported to be affected by RT in prostate cancer patients. Therefore, it is possible that levels of some cytokines in patient plasma might correlate with the effects of CRT and, thus, may be useful for the prediction of the response to therapy.
First, we analyzed the correlation between the plasma levels of various cytokines and the clinicopathological features of RC patients treated with CRT and surgery. We observed a significant correlation between the pre-CRT plasma levels of sCD40L and the depth of tumor invasion and venous invasion, with sCD40L levels being significantly increased in cases of downsizing of the primary tumor (ypT0-2) compared to locally advanced tumors (ypT3-4) following CRT. Moreover, the pre-CRT sCD40L level was significantly higher in cases without venous invasion compared to those with venous invasion. In addition, the post-CRT level of sCD40L was significantly higher in the group without lymphatic invasion, compared to the group with lymphatic invasion. By contrast, the post-CRT level of CCL-5 was significantly higher in locally advanced tumors (ypT3-4) compared to cases of downsizing of the primary tumor (ypT0-2), and also significantly higher in those cases with venous invasion, compared to the cases without. Thus, it appears that an increased level of CCL-5 following CRT is associated with a poor response to therapy, while a higher pre-CRT level of sCD40L is associated with downsizing of the primary tumor.
Next, we analyzed the correlation of the plasma levels of cytokines and the pathological response to therapy, and found a significant decrease in the plasma levels of sCD40L in post-CRT compared to pre-CRT samples, but when High-R and Low-R groups were analyzed separately, a significant reduction in sCD40L following CRT was observed only in High-R. By contrast, although without statistical significance, the post-CRT level of IL-6 was higher than the pre-CRT one. When changes in IL-6 were analyzed in the High-R and Low-R groups separately, the significant increase was observed in the Low-R, but not in the High-R. By contrast, a significant decrease in the level of CCL-5 following CRT was observed in the High-R, but not in the Low-R. The other cytokines analyzed, namely IL-2, −4, −10, INF-γ, TNF-α, TRAIL, MCP-1 and CCL-5 were not affected by CRT.
Since platelets and activated T-lymphocytes are known to express surface CD40L and to generate a soluble fragment of CD40L (17,18), we investigated whether platelet counts were affected by CRT, and observed that platelets were significantly reduced in both High-R and Low-R, but the difference was more evident in the High-R. Similarly, a significant reduction in the levels of sCD40L and CCL-5 following CRT was observed, but only in the High-R. Thus, it seems that the significant reduction in sCD40L and CCL-5 following CRT is associated with a favorable response to therapy. It is possible that changes in these cytokines merely reflect changes in the platelet counts. However, the significant correlation between pre-CRT sCD40L and platelet counts was observed only in High-R, and in this group, a negative correlation between pre-CRT CCL-5 and platelet counts was found, potentially leading to a negative correlation between pre-CRT sCD40L and CCL-5. Thus, it may be speculated that, although both cytokines are significantly reduced following CRT in High-R, they have antagonistic effects in the response to CRT. Further corroborating this hypothesis is our finding that the higher pre-CRT level of sCD40L was associated with tumor downstaging folllowing CRT and with absence of venous invasion, whereas higher post-CRT CCL-5 was associated with locally more advanced tumors and the presence of venous invasion.
In our previous study (Tada et al, unpublished data), we demonstrated that, compared to pre-CRT, the post-CRT numbers of T- and B-lymphocytes were significantly decreased, and the patients with a favorable response (High-R) had a higher number of pre-CRT T-lymphocytes than those with a poor response (Low-R group) (P<0.01). In the present study however, we were unable to demonstrate a clear association between the investigated cytokines and the immune cells. Recently, in addition to the antitumor immunity-inducing effect, the immunosuppressive effect of the CD40-CD40L costimulator pathway, possibly via stimulation of MDSCs, was reported (19,20). More recently, tumor-infiltrating monocytic MDSCs have been shown to secrete CCL-5, recruiting Tregs, which favor tumor growth in mice (21). In non-small cell lung cancer patients treated with EGFR-TKIs, low levels of CCL-5 at diagnosis were reported to be significantly associated with long-term survival (22). In our series, however, we did not find any correlation between sCD40L in plasma and the populations of MDSCs [CD33(+)HLA(−)DR(−)], either pre- or post-CRT, in either High-R or Low-R. However, a tendency for a negative correlation between post-CRT levels of CCL-5 and CD3(+) T-cell counts was observed in the High-R, whereas a tendency for a positive correlation was observed in the Low-R. Thus, it is tempting to speculate that Tregs, characterized as CD4(+)/CD25(+)/FoxP3(+), are involved in the poor response of Low-R, possibly by recruiting Tregs. CD4(+) cells are part of CD3(+) cells, which showed a tendency for a positive correlation with CCL-5, and this cytokine is reported to be associated with progression and metastasis (23–26) and with poor response to therapy in various tumor types (27,28). In addition, the negative correlation between CCL-5 and CD3(+) T-cells in the High-R strengthens our hypothesis. Unfortunately, in this study, we did not investigate Tregs, and this is the topic of a future study.
The reason why post-CRT sCD40L levels are significantly reduced in High-R is not known, but it is known that, in addition to the immunomodulatory effects, the CD40 signaling pathway also plays an important role in proliferation, differentiation and apoptosis of cancer cells. Many tumor cells also express CD40 (29–32), and evidence suggests that ligation of CD40 might promote either cell proliferation or apoptosis, depending on the intensity of CD40L signaling (33,34). Although we did not investigate the expression of CD40 in cancer cells, it can be speculated that sCD40L may induce antitumor effects, either through binding to immune cells, stimulating an antitumor immunity, or through the direct binding to cancer cells, inducing their apoptotic cell death; in both situations, sCD40L levels are reduced by consumption.
In addition, in our series, we found higher levels of post-CRT IL-6 and TNF-α in the Low-R compared to the High-R, which suggests that these cytokines might serve as indicators of a poor response to CRT. Also, when comparing pre- and post-CRT levels of these cytokines, a significant increase in post-CRT IL-6 was observed in the Low-R, corroborating this hypothesis. IL-6 levels were also reported to be associated with poor prognosis in various types of cancer, including pancreatic, breast, ovarian and esophageal (15,35), and increased levels of TNF-α have been shown to correlate with poor prognosis in colorectal cancer patients (36,37). IL-6 has been shown to be associated with tumor stage, metastasis and survival of colorectal cancer patients (13–15,35). Furthermore, increased levels of serum IL-6 during CRT have been reported, but no association with the response rate has been demonstrated (4). In our series, 3 cases in the Low-R showed a significant elevation in IL-6 following CRT, which resulted in a significant increase in the post-CRT levels compared to the pre-CRT ones in this group of patients. On the other hand, the IL-6 levels did not change following CRT in the High-R. From these data, we hypothesize that IL-6, as well as TNF-α, reflect the inflammatory damage caused by CRT, which might impair antitumor immunity. Thus, IL-6 and TNF-α might be useful markers of a poor response to CRT, but since only the post-CRT, but not the pre-CRT levels, correlated with the response to treatment, their use as predictive markers prior to therapy is uncertain.
In a recent report, we demonstrated that the pre-CRT platelet counts correlated with the response of CRT and the local recurrence-free survival in RC patients (38). When patients were divided into thrombocytotic (defined as platelet count >36.5 × 10,000/μl) and those with platelet counts within the normal range, those with thrombocytosis had a poor response to CRT (38). In the present series, only two patients were thrombocytotic according to this classification, and one case classified as High-R and the other as Low-R. Interestingly, we observed that the platelet counts were significantly affected by CRT in both High-R and Low-R, but the difference was more evident in the High-R. This result might merely reflect the association of thrombocytosis with a poor response to CRT, but considering that platelets are the major source of both sCD40L and CCL-5, it is highly probable that platelets play an important role in the complex interaction between cytokines and the immune system, by eliciting antitumor immunity. Considering all these data, it is tempting to speculate that patients in a better immunological condition prior to treatment, including higher blood platelet counts, are able to induce more effective antitumor immunity, and sCD40L might contribute to the antitumor effects, whereas CCL-5 might inhibit it. Whether platelets and immune cells preferentially produce either sCD40L or CCL-5 might determine the fate of cancer cells.
In conclusion, our results suggest that the complex interaction among the immune system, platelets and tumor cells, mediated through various cytokines/chemokines, determines the response of RC patients to CRT. The analysis of the immunological condition of the patient prior to treatment, including immune cells and platelets, might help predicting the response to treatment, and the pre-/post-CRT measurement of sCD40L, CCL-5, TNF-α and IL-6 may also be useful, particularly in deciding on the need of additional therapy. Since the number of cases included in this study was relatively small, a more large-scale prospective study will be necessary to confirm the present findings, and to clarify this complex association between the immune system, platelets and cancer cells, cross-linked through various cytokines/chemokines. By understanding the role of these molecules in regulating the response to CRT, new approaches for the improvement of treatment might be proposed.
Acknowledgements
The authors thank Ms. Mika Matsuhashi, Mr. Yutaka Nagura and Ms. Junko Iino from the Department of Transfusion Medicine (University of Tokyo) for their kind advice and technical assistance.
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