Open Access

Assessment and prognostic significance of a serum cytokine panel in diffuse large B‑cell lymphoma

  • Authors:
    • Shufang Xie
    • Lifen Zhu
    • Lei Wang
    • Shibing Wang
    • Xiangmin Tong
    • Wanmao Ni
  • View Affiliations

  • Published online on: March 28, 2024     https://doi.org/10.3892/ol.2024.14370
  • Article Number: 237
  • Copyright: © Xie et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

The objective of the present study was to assess the levels of circulating cytokines in patients with diffuse large B‑cell lymphoma (DLBCL), and to examine the associations between the cytokine levels, clinicopathological manifestations and patient prognosis. The study enrolled 49 patients with DLBCL, 11 patients with chronic lymphocytic leukemia/small lymphocytic lymphoma and 67 healthy controls from Zhejiang Provincial People's Hospital (Hangzhou, China) between January 2017 and January 2020. The serum levels of interleukin (IL)‑2, IL‑4, IL‑6, IL‑10, IL‑17, tumor necrosis factor (TNF)‑α and interferon (IFN)‑γ were measured using flow cytometry. The IL‑6, IL‑10 and IFN‑γ levels were significantly raised in patients with DLBCL compared with those in the healthy controls (P<0.05). The levels of IL‑10 were significantly higher in patients with raised levels of circulating lactate dehydrogenase (P<0.05), while increases in both IL‑6 and IL‑10 were associated with raised C‑reactive protein (CRP) levels, with IL‑6 levels positively associated with those of serum CRP (P<0.01; r=0.66). Additionally, International Prognostic Index (IPI) risk stratification of patients with DLBCL was strongly associated with circulating IL‑6 and IL‑10 levels. Raised IL‑6, IL‑10 and TNF‑α levels were linked with worse short‑term treatment efficacies (P<0.05). Moreover, the accuracy of the model predicting short‑term treatment response in patients with DLBCL, obtained using the support vector machine algorithm, was 81.63%. It was also found that raised serum IL‑6 and IL‑10 levels, together with reduced levels of IL‑17, were associated with survival of <1 year in patients with DLBCL (P<0.05), although no significant link was found between cytokine levels and long‑term overall survival. In conclusion, the serum levels of IL‑6, IL‑10, IL‑17, TNF‑α and IFN‑γ can potentially serve as biological indicators of DLBCL tumor immune status, and combined application with the IPI score can be a robust prognostic indicator in patients with DLBCL.

Introduction

DLBCL is a mature B-cell malignancy that is frequently found among adults with non-Hodgkin's lymphoma (NHL) (1). In China, DLBCL accounts for 40.1% of all NHL cases, and it has attracted increasing attention due to its high morbidity and mortality rates. At present, the pathogenesis of DLBCL is unclear, although several studies have indicated a close association with inflammation-triggered immune dysfunction, a condition mediated by cytokines (2,3). The rituximab, cyclophosphamide, Adriamycin, vincristine and prednisone (R-CHOP) regimen is the current first-line treatment for DLBCL, and it produces satisfactory remission rates in most patients. However, 30–40% of patients either fail to respond to R-CHOP or relapse within the first months of treatment (4,5). These differences in response and prognosis indicate the importance of establishing an accurate method for patient stratification. The role of immune escape in disease development is not adequately reflected by the International Prognostic Index (IPI) score, which is now the gold standard for the prognostic assessment of patients with DLBCL. Moreover, the accuracy of the IPI tends to be low for the standard treatment, even when the treatment includes rituximab (6). Thus, it is essential to identify novel biomarkers to improve the accuracy of the IPI scoring system. It has been found that the levels of certain cytokines are strongly correlated with the onset, severity and prognosis of DLBCL (79), although there is limited information on this topic in patients with DLBCL in China. Thus, in view of the differences observed between domestic and foreign environments, patient pathogenic factors and high DLBCL heterogeneity, the present study examined the cytokine profiles of Chinese patients with DLBCL using flow cytometry. These findings will provide new ideas for the prognostic analysis and clinical treatment of DLBCL worldwide.

Materials and methods

General information

The study enrolled 60 patients with pathologically confirmed B-cell NHL (B-NHL) (38 men and 22 women; age range, 36–91 years; median age, 65 years) who were treated at Zhejiang Provincial People's Hospital (Hangzhou, China) between January 2017 and January 2020. The diagnostic criteria were in accordance with the reported literature (10). Among the selected participants were 11 with chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL/SLL), 49 with primary DLBCL and 21 patients with DLBCL in remission after treatment. Patients with dry syndrome or other diseases involving the immune system that affect cytokine levels, severe infections, a second malignant haematological disease, severe target organ damage with a survival rate of <1 year, other neoplasms, diabetes or other metabolic diseases were excluded. The control cohort consisted of 67 healthy volunteers. The four groups were comparable in terms of sex and age. The final follow-up was conducted in January 2021, the minimum follow-up period was 12 months and the follow-up was terminated at the death of the patient. Written informed consent was obtained from all patients for participation in this study.

Sub-cohort of patients with DLBCL

General clinical information was collected for all patients. This included LDH and CRP levels, bone marrow aspiration and biopsy results, and ultrasonography and imaging results, such as radiographs, computed tomography (CT) or positron emission tomography-CT scans. During the analysis, CRP was found to be a more sensitive indicator, and the correlation between the elevation of this indicator and other cytokines showed a phase correlation, so it was divided into four groups with different degrees of elevation: Group 0, 0–10 mg/l CRP; group 1, 10–50 mg/l CRP; group 2, 50–100 mg/l CRP; and group 3, >100 mg/l CRP. Patients also received an IPI score based on five factors, including age, behavioral status, Ann Arbor stage (11), LDH expression level and number of invaded sites of extranodal lesions. The IPI score can be used to classify patients into four different risk groups: A score of 0/1 for low risk; 2 for low to medium risk; 3 for medium to high risk; and 4/5 for high risk.

The 49 patients with DLBCL were treated with the R-CHOP regimen over a 21-day treatment period. The R-CHOP chemotherapy regimen is as follows: i) Rituximab, the dosage of which is usually determined according to 365 mg/m2 body surface area, and is administered intravenously on day 1, during which time the patient should be observed for possible side effects such as allergic reactions, and it is best to monitor the patient using automatic ECG monitoring. ii) Cyclophosphamide, the dosage of which is calculated according to 750 mg/m2 body surface area, and is administered intravenously on day 2. iii) Vincristine, the dosage of which is calculated according to 1.4 mg/m2 body surface area, and is administered intravenously on day 2. iv) Adriamycin, the dosage of which is calculated according to 50 mg/m2 body surface area, and is also administered intravenously on day 2. v) Prednisone, which is usually administered orally at 100 mg once a day, from day 2 to day 6, for a chemotherapy cycle of 21 days, where the dose is given for the first 6 days, and the time after that is the inter-chemotherapy period, when side effects are observed and managed. The above body surface area is generally calculated according to a formula based on the patient's height and weight. All patients received three courses, after which an efficacy evaluation was conducted according to the NCCN Clinical Practice Guidelines in Oncology for B-Cell Lymphomas (12). Patients with complete and partial remission were included in the cohort of effectively treated patients (n=21), while those showing disease progression and no remission formed the ineffectively treated cohort (n=28).

Overall, long-term follow-up data were available for 39 patients with DLBCL, while the remaining patients were lost to follow-up. In addition, 16 patients died during the first year after treatment, while 23 patients survived for 1 year or more. These patients were included in the deceased and survived cohorts, respectively (Fig. S1). For survival curves, the reference ranges of cytokines were consistent with those reported by the Department of Pathology of Zhejiang Provincial People's Hospital. The IL-6 cut-off value was 5.00 pg/ml, the IL-10 cut-off value was 5.00 pg/ml and the IL-17 cut-off value was 3.00 pg/ml.

Cytokine assays

Cytokine levels were measured in the sera of all participants before treatment using a Beckman Navios flow cytometer (cat. no. B47905; Beckman Coulter, Inc.) and a Th1/Th2/Th17 Cytometric Bead Array cytokine kit (cat. no. 560484; BD Biosciences), according to the manufacturer's protocols. Fasting venous blood (5 ml) was collected from the arm of all subjects. The blood samples were allowed to stand for 2 h at room temperature and then centrifuged at 1,000 × g for 5 min at 4°C. The sera were stored at 4°C. The measurement of IL-2, IL-4, IL-6, IL-10, IL-17, TNF-α and IFN-γ levels was completed within 24 h. The software used for data analysis was FCAP Array™ version 3.0.1 from BD Biosciences.

Statistical analysis

All data were analyzed using SPSS 20.0 (IBM Corp.). Cytokine levels between two groups were compared utilizing the Mann-Whitney U test. Differences in cytokine levels among multiple groups were assessed through the Kruskal-Wallis test. The post hoc analysis used was the Bonferroni test. Two-tailed Spearman correlations were used to assess associations between cytokine levels and CRP levels and IPI scores. P<0.05 were considered to indicate a statistically significant difference.

Generation of the prediction model

The support vector machine (SVM) algorithm was used to construct a model for prognosis prediction for patients with DLBCL (13). This was generated using the results of the cytokine analysis, as determined by flow cytometry. The data on cytokine levels were then separated into two categories, namely, 80% for training and 20% for validation. Using the e1071 package with the random number set to 123, optimization of the penalty coefficient C was conducted via tune.svm (14). The optimization range was between 0.005–1, the optimization step was 0.005, and γ was set to 1. The optimal SVM model was derived with a C-classification, radial SVM kernel and an optimal C of 0.895.

Results

Expression profiles of seven cytokines in patients with primary DLBCL and primary CLL/SLL, and normal control volunteers

The IL-6 (P<0.001) and IL-10 (P<0.01) levels were significantly raised in patients with primary DLBCL compared with those in the controls (Table I). Meanwhile, although the TNF-α, IFN-γ and IL-17 levels were increased slightly in primary DLBCL patients, they did not reach significance. No changes were seen in the levels of IL-2 and IL-4 between the two cohorts (P>0.05; Table I; Fig. S2) nor were there significant differences in cytokine levels between patients with primary CLL/SLL and healthy controls (P>0.05; Table I), suggesting that altered serum cytokine levels are specific to the early diagnosis of DLBCL. Representative flow cytometry plots of two patients are presented in Fig. S3A, where it can be seen that both patients had relatively elevated IL-6 and IL-10 in their test results.

Table I.

Expression of seven cytokines in the primary DLBCL, primary CLL/SLL and healthy control groups.

Table I.

Expression of seven cytokines in the primary DLBCL, primary CLL/SLL and healthy control groups.

GroupsIL-2, ng/lIL-4, ng/lIL-6, ng/lIL-10, ng/lTNF-α, ng/lIFN-γ, ng/lIL-17, ng/l
Healthy1.131.492.452.352.102.352.30
control(0.90, 1.94)(1.22, 2.09)(1.10, 2.98)(1.34, 3.15)(1.03, 2.09)(1.35, 3.01)(1.30, 2.77)
Initial1.071.311.692.481.031.631.42
CLL/ SLL group(0.85, 1.25)(0.78, 1.88)(1.00, 4.02)(1.18, 4.40)(0.72, 2.15)(1.15, 2.13)(0.72, 1.53)
Initial1.161.4535.8225.042.152.651.91
DLBCL group(0.66, 2.37)(0.92, 2.27)(10.49, 104.0)(6.85, 150.43)(1.76, 4.08)(1.61, 4.64)(0.63, 2.66)
Z-value0.377a0.897b0.556a0.897b8.177a0.330b7.258a0.136b0.017a1.393b2.211a1.945b0.942a2.061b
P-value0.706a0.369b0.578a0.370b <0.001a0.741b0.000a0.892b0.987a0.164b0.027a0.052b0.346a0.159b

{ label (or @symbol) needed for fn[@id='tfn1-ol-27-5-14370'] } Data are presented as median (Q1,Q3).

a Z- and P-values for the comparison between the initial DLBCL group and healthy controls;

b Z- and P-values for the comparison between the initial CLL group and healthy controls. IL, interleukin; TNF-α, tumor necrosis factor-α; IFN-γ, interferon-γ; DLBCL, diffuse large B-cell lymphoma; CLL/SLL, chronic lymphocytic leukemia/small lymphocytic lymphoma.

Cytokine expression in patients with DLBCL in sustained remission after treatment

Apart from a rise in the serum IL-6 levels (P<0.05), no significant differences were observed between serum cytokine levels in the 21 patients with DLBCL who achieved sustained remission following standard treatment and healthy controls during the same period (P>0.05; Table II). This suggested a close association between cytokine production and disease progression in patients with DLBCL.

Table II.

Expression of seven cytokines in patients with DLBCL in sustained remission.

Table II.

Expression of seven cytokines in patients with DLBCL in sustained remission.

GroupsIL-2, ng/lIL-4, ng/lIL-6, ng/lIL-10, ng/lTNF-α, ng/lIFN-γ, ng/lIL-17, ng/l
Control1.131.492.452.352.102.352.30
(0.90, 1.94)(1.22, 2.09)(1.10, 2.98)(1.34, 3.15)(1.03, 2.09)(1.35, 3.01)(1.30, 2.77)
DLBCL in sustained1.191.543.293.442.152.472.07
remission(0.88, 2.19)(1.06, 2.23)(2.07, 20.32)(2.20, 10.26)(0.91, 2.96)(1.47, 3.53)(0.83, 2.77)
Z-value0.2420.2472.5051.2670.7500.0240.437
P-value0.8090.8050.0120.2050.4530.9810.662

[i] Data are presented as median (Q1,Q3). IL, interleukin; TNF-α, tumor necrosis factor-α; IFN-γ, interferon-γ; DLBCL, diffuse large B-cell lymphoma.

Association between serum cytokine levels and clinicopathological features in patients with DLBCL at first presentation

Elevated LDH expression at the first presentation was found to be closely associated with prevalence. Patients with increased levels of serum LDH had considerably higher IL-10 values than those with normal LDH (Z=2.368 and Z=3.143; P=0.018 and P=0.002, respectively), although the levels of the remaining cytokines showed no significant differences (P>0.05; Fig. 1). It was also observed that raised CRP was associated with markedly higher IL-6 and IL-10 levels, compared with patients with normal CRP, with significance shown for 10–50 and 50–100 mg/l for IL-6, and for 10–50 mg/l for IL-10 (P<0.05; Fig. 2A-E). Moreover, the degree of increase in IL-6 was positively correlated with the serum CRP (P<0.001, r=0.662; Fig. 2F). By contrast, the levels of IFN-γ only increased in patients with CRP >100 mg/l, respectively (P<0.05; Table SI). There were 12 patients with missing CRP data; therefore, CRP data for 37 patients are counted here.

Associations between serum cytokine profiles and IPI scores in patients with DLBCL at first presentation

Fig. 3A-G shows the distribution of IPI scores in the 48 patients with DLBCL; 1 patient had an IPI score of 1 and its data were therefore not included. There were significant differences in serum IL-6 and IL-10 levels between sub-cohorts of patients with different IPI scores compared with those with an IPI score of 2 (IL-6: H=11.214, P=0.011; IL-10: H=15.203, P=0.002). Levels of both IL-6 and IL-10 were increased in patients with IPI scores of 4 (P<0.05; Table SII), and there was a positive correlation between the IPI score and serum IL-6 and IL-10 levels (IL-6: P=0.007, r=0.380; IL-10: P=0.002, r=0.438; Fig. 3I). Moreover, although differences in TNF-α between the two cohorts did not reach statistical significance (H=3,474, P=0.324), levels were higher in patients with IPI scores of ≥3, relative to those with IPI scores of 2 (Fig. 3E).

Predictive model of short-term treatment response in patients with DLBCL using the SVM analysis of cytokines

The 49 patients with primary DLBCL included 21 that responded to treatment and were effectively treated, and 28 that did not and were ineffectively treated. Analysis showed that compared with the effectively treated patients, those that were ineffectively treated had significantly higher levels of IL-6 and IL-10 (both P<0.01), as well as TNF-α (P<0.05) (Table III). However, IFN-γ did not differ significantly between the two groups, despite an observed increase in ineffectively treated patients (Fig. 4).

Table III.

Serum cytokines in patients with diffuse large B-cell lymphoma in the effective and ineffective groups of short-term treatment.

Table III.

Serum cytokines in patients with diffuse large B-cell lymphoma in the effective and ineffective groups of short-term treatment.

GroupsIL-2, ng/lIL-4, ng/lIL-6, ng/lIL-10, ng/lTNF-α, ng/lIFN-γ, ng/lIL-17, ng/l
Ineffective group1.221.3987.4359.312.843.62.09
(0.67, 2.40)(0.90, 2.44)(33.53, 232.49)(18.79, 230.51)(0.88, 4.68)(2.36, 4.68)(0.31, 3.34)
Effective group0.981.2910.478.731.622,451.35
(0,76, 2,02)(0.76, 2.02)(5.09, 25.32)(2.94, 25.04)(0.72, 2.29)(1.44, 3.04)(0.75, 3.34)
Z-value1.3840.7784.3033.3742.2931.2830.667
P-value0.1660.437<0.0010.0010.0220.2000.505

[i] Data are presented as median (Q1,Q3). IL, interleukin; TNF-α, tumor necrosis factor-α; IFN-γ, interferon-γ.

The data on cytokine levels were then separated into two categories, namely, 80% for training and 20% for validation. Using the e1071 package with the random number set to 123, optimization of the penalty coefficient C was conducted via tune.svm. The optimization range was between 0.005–1, the optimization step was 0.005, and gamma was set to 1. The optimal SVM model was derived with a C-classification, radial SVM kernel and an optimal C of 0.895. Using this optimal SVM model, the prediction test group accuracy was 78.57% (Fig. S3B), and the area under the ROC curve was 0.73 (Fig. 5).

Association between overall survival and serum cytokine levels in patients with DLBCL

Of the 39 patients with DLBCL who had long-term follow-up data, 16 died (deceased cohort) and 23 survived (survived cohort) during the 12 months of follow-up. The deceased patients showed higher serum IL-6 and IL-10 levels, while the patients who survived had higher IL-17 levels (P<0.05); no significant changes were seen in the remaining cytokines (P>0.05) (Table IV). Notably, based on the survival plots, only IL-6 was not significantly associated with survival prognosis in patients with DLBCL (P>0.05) (Fig. 6).

Table IV.

Differences in serum cytokines between patients with diffuse large B-cell lymphoma in the clinical deceased and survival groups.

Table IV.

Differences in serum cytokines between patients with diffuse large B-cell lymphoma in the clinical deceased and survival groups.

GroupsIL-2, ng/lIL-4, ng/lIL-6, ng/lIL-10, ng/lTNF-α, ng/lIFN-γ, ng/lIL-17, ng/l
Deceased group1.191.3378.0560.512.83.511.47
(0.75, 2.29)(0.73, 2.27)(20.73, 186.11)(10.05, 327.34)(0.82, 4.17)(1.80, 4.65)(0.72, 2.65)
Survival group0.961.4823.815.882.012.072.75
(0.12, 1.47)(0.93, 2.57)(23.81, 66.18)(5.88, 27.52)(0.63, 2.31)(1.39, 2.64)(1.37, 3.53)
Z-value1.6990.4852.0562.8271.3711.5712.142
P-value0.0890.6270.040.0050.170.1160.037

[i] Data are presented as median (Q1,Q3). IL, interleukin; TNF-α, tumor necrosis factor-α; IFN-γ, interferon-γ.

Discussion

As a particularly aggressive form of NHL, DLBCL has higher morbidity and mortality rates than other NHL subtypes (15). Thus, it is imperative to identify novel indicators that can assist in the early diagnosis and prognostic assessment of DLBCL patients. Recently, the measurement of cytokine levels and the expression of their associated receptors has become an essential component of basic and clinical immunology research, as serum cytokine levels have been shown to be important in the early diagnosis of disease and the prediction of prognosis, and even in assessing the efficacies of antitumor drugs and formulating individualized treatment plans (16). In the present study, the serum levels of cytokines were measured in patients with DLBCL using flow cytometry to provide novel ideas for the early diagnosis, clinical treatment and prognostic analysis of DLBCL.

In recent decades, in the process of exploring new methods for the diagnosis and treatment of B-NHL, particularly DLBCL, the number of studies on IL-6, IL-10, TNF-α and IFN-γ has gradually increased. IL-6 is a potent cytokine that promotes the growth and differentiation of B lymphocytes, and is an essential component of the lymphoma microenvironment; it also induces angiogenesis in tumors, disrupts adhesion between tumor cells, and strongly counteracts antitumor actions in the body, thereby promoting the growth and proliferation of tumor cells, while inhibiting apoptosis, initiating a vicious cycle (17,18). Although IL-10 is known to possess antitumor effects mediated by CD8+ T-cell responses, in the presence of CD19+ tumor cells, IL-10 can potentially serve as a growth factor for tumorigenic B lymphocytes, and promote the immune escape of tumor cells (19,20). IL-10 also inhibits apoptosis through the upregulation of Bcl-2 expression, thus promoting tumorigenesis (21). TNF-α is one of the first cytokines released during inflammation, and it is critical for the initiation of the cytokine cascade. Elevated expression of TNF-α and its associated receptors [soluble TNF-receptor 1 (sTNF-R1) and sTNF-R2] has been linked with reduced overall survival in numerous tumors, including breast and stomach cancer (2225). However, the role of TNF-α in DLBCL remains unclear. IFN-γ has classical antitumor effects, but these may change in the tumor microenvironment. Some studies have demonstrated that IFN-γ significantly enhances oncogenic activity via B invasive lymphoma protein 1/ADP ribose convertase 9 in patients with high-risk DLBCL (26). The role of IL-17, a characteristic Th17 cell-secreted cytokine in tumors, remains controversial. It was previously found that in B-NHL, increased levels of transforming growth factor β inhibited Th17 cell differentiation while promoting the differentiation of regulatory T cells, reducing the antitumor activity and thus enabling tumor immune escape (27).

The levels of IL-6, IL-10 and IFN-γ were significantly higher in patients with DLBCL compared with those in healthy controls in the present study. Significantly increased levels of TNF-α were also observed, confirming the association between aberrant cytokine expression and DLBCL occurrence. No significant differences were observed in these cytokines when comparing between the patients with CLL/SLL and the healthy controls. Although some prior studies reported that serum IL-6 and IL-10 levels remained high in patients with CLL/SLL, these results were primarily associated with certain high-grade patients (28). The present study found that serum cytokine levels have limited diagnostic significance for the inert B-cell lymphoma represented by CLL, while showing specificity for DLBCL. Additionally, in patients with DLBCL, the levels of most cytokines such as OL-10 and IL-17, with the exception of IL-6, often returned to normal on remission of the disease. This suggested that cytokines are significantly associated with disease progression, suggesting a potential treatment strategy for patients with DLBCL. Furthermore, elevated LDH and CRP were associated with prevalence rate in patients with DLBCL, and it was found that patients with increased serum CRP or LDH levels also had higher levels of IL-6 and IL-10, and that the increased production of these factors was positively associated with serum CRP. This was consistent with the report by Nacinovic-Duletic et al (29). Furthermore, there was a strong correlation between the IPI risk stratification and circulating IL-6 and IL-10 levels in the patients with DLBCL. IL-10 was significantly higher in patients with low-risk IPI scores, relative to those with high-risk scores, and the difference was greater with higher scores. This is in agreement with the findings reported by Aydin et al (30); however, the assay used in the present study is simpler and more efficient than the ELISA method that was used by this study. In terms of treatment efficacy, it was found that elevated IL-6, IL-10 and TNF-α levels were often predictive of poor treatment effectiveness, consistent with the findings reported by Dlouhy et al (7). In addition, several studies have reported the roles of single cytokines or combinations of a few cytokines in NHL (3135) while the present study included a more complete range of cytokines and a more detailed analysis of the various correlations with the disease. The present study further tested cytokines using the SVM algorithm, and the accuracy of the optimal SVM model for the prediction of short-term treatment efficacies in patients with DLBCL was 81.63%. These findings suggest that cytokines are important indicators of the DLBCL treatment response.

Analysis of long-term follow-up data showed that, in comparison with DLBCL patients who survived, those who died within 1 year of treatment had elevated levels of IL-6, IL-10 and IL-17. However, analysis of the survival curves showed that IL-6 levels did not correlate with overall survival in patients with DLBCL. This suggests that there are some limits to the use of serum cytokine levels for predicting the long-term prognosis of patients with DLBCL.

In conclusion, serum IL-6, IL-10, IL-17, TNF-α and IFN-γ levels can serve as prognostic indicators for the assessment of tumor immune status in DLBCL. Moreover, in combination with the IPI score, they can be important indicators of DLBCL prognosis, and may also provide a basis for the precise treatment and direction of novel and efficacious targeted therapies.

Supplementary Material

Supporting Data
Supporting Data

Acknowledgements

Not applicable.

Funding

This study was supported by the Foundation of Science Technology Department of Zhejiang Province (grant no. LGF22H080012) and the Zhejiang Provincial Medical Technology Plan Project (grant nos. 2022KY505 and 2020KY052).

Availability of data and materials

The data generated in the present study may be requested from the corresponding author.

Authors' contributions

SX, LZ and LW collected and analyzed the data, drew figures and tables, and contributed in writing the manuscript. SW, LZ and SX performed the statistical analysis. XT procured the funding for this study. XT, WN, SW participated in the design of the study, gave administrative or logistical support for this study, and reviewed drafts of the paper. All the authors agreed with the conclusions of this study. All authors have read and approved the final manuscript. SX and WN confirm the authenticity of all the raw data.

Ethics approval and consent to participate

This study was approved by the Ethics Committee of the Zhejiang Provincial People's Hospital (approval no. 2021QT150). Written informed consent was obtained from all patients for participation in this study.

Patient consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

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May-2024
Volume 27 Issue 5

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Spandidos Publications style
Xie S, Zhu L, Wang L, Wang S, Tong X and Ni W: Assessment and prognostic significance of a serum cytokine panel in diffuse large B‑cell lymphoma. Oncol Lett 27: 237, 2024
APA
Xie, S., Zhu, L., Wang, L., Wang, S., Tong, X., & Ni, W. (2024). Assessment and prognostic significance of a serum cytokine panel in diffuse large B‑cell lymphoma. Oncology Letters, 27, 237. https://doi.org/10.3892/ol.2024.14370
MLA
Xie, S., Zhu, L., Wang, L., Wang, S., Tong, X., Ni, W."Assessment and prognostic significance of a serum cytokine panel in diffuse large B‑cell lymphoma". Oncology Letters 27.5 (2024): 237.
Chicago
Xie, S., Zhu, L., Wang, L., Wang, S., Tong, X., Ni, W."Assessment and prognostic significance of a serum cytokine panel in diffuse large B‑cell lymphoma". Oncology Letters 27, no. 5 (2024): 237. https://doi.org/10.3892/ol.2024.14370