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Cancer Immunology, Immunotherapy : CII logoLink to Cancer Immunology, Immunotherapy : CII
. 2017 Oct 31;67(2):261–269. doi: 10.1007/s00262-017-2083-y

CXCL13 expression is prognostic and predictive for postoperative adjuvant chemotherapy benefit in patients with gastric cancer

Yichou Wei 1,#, Chao Lin 2,#, He Li 2,#, Zhiying Xu 1, Jieti Wang 1, Ruochen Li 2, Hao Liu 2, Heng Zhang 2, Hongyong He 2,, Jiejie Xu 1,
PMCID: PMC11028286  PMID: 29085997

Abstract

Background

Chemokine (C-X-C motif) ligand 13 (CXCL13/BLC/BCA-1) is a cytokine from C-X-C chemokine family, which is selectively chemotactic for B cells. Previous research has demonstrated that high CXCL13 expression is correlated to poor prognosis in various cancers. However, the association between CXCL13 expression and gastric cancer is still unclear.

Methods

Intratumoral CXCL13 expression was evaluated by immunohistochemistry using a semi-quantitative method (modified H-score) in a testing set of 214 and a validation set of 227 randomly selected gastric cancer patients resected in 2008 in one institution. The median value was used as the cut-off point. We performed correlative analysis of CXCL-13 expression with clinicopathological variables, Kaplan–Meier analysis for association with overall survival (OS), and multivariate modeling.

Results

High CXCL13 expression was associated with larger tumor diameter and shorter OS. By multivariate analysis, CXCL13 expression was associated with OS independently from clinicopathological factors. Within the T2–4 stage patients group, low CXCL13 expression was associated with longer survival, especially in the subgroup of patients (57.6%) who received adjuvant chemotherapy.

Conclusions

Intratumoral CXCL13 expression appears as an independent prognostic marker for patients after gastric cancer resection. In addition, CXCL13 expression may serve as a predictive biomarker of response to postoperative adjuvant chemotherapy in these patients.

Keywords: Gastric cancer, CXCL13, Prognosis, Biomarker, Postoperative adjuvant chemotherapy

Introduction

Gastric cancer is the second most common cause of death within cancer-related diseases and the fourth most common malignancy worldwide [1]. Moreover, gastric cancer accounts for roughly 1,000,000 new cases and 628,000 deaths per year [2]. Over 70% of those cases occur in developing countries, with the highest incidence rates in Eastern Asia, particularly in Korea, Japan and China. Because of the mild and atypical symptoms in the early stages of gastric cancer, more than 80% of the patients are diagnosed in advanced stages, causing poor outcomes in most cases [3]. Since gastric cancer is a heterogeneous disease with different molecular phenotypes, it is difficult to predict the outcome. Therefore, new and valuable prognostic biomarkers are in urgent need to improve the current gastric cancer prognosis model.

In the process of tumor development, gastric cancer is closely related with cytokines and signaling pathways [4, 5], which have become a focus in the study of the pathogenesis of gastric cancer in recent years. As a family of small signaling cytokines, chemokines can interact with its receptor and regulate the infiltration and angiogenesis of a variety of malignant cells, thereby activating the host immune response and stimulating tumor cell proliferation [6, 7].

A number of recent studies have demonstrated that chemokine (C-X-C motif) ligand 13 (CXCL13), a B-cell attracting chemokine that is expressed by stromal cells [8], serves as an important factor in the process of tumor proliferation and migration. It has been found that the co-expression of CXCL13 and its receptor chemokine (C-X-C motif) receptor 5 (CXCR5) are remarkably related to the lymph node metastasis of breast cancer [9]. Moreover, CXCL13 has been defined as a predictor for poor prognosis in advanced colorectal cancer [10], prostate cancer [11], hepatocellular carcinoma [12], oral squamous cell carcinoma [13], non-small cell lung carcinoma [1, 14], lymphoma [15] as well as in neuroblastic tumor [16]. Nevertheless, the clinical importance of CXCL13 expression in gastric cancer is seldom reported and needs further examination [1719].

In the present study, we carried out immunostaining analysis to investigate the potential prognostic role of CXCL13 expression in gastric cancer and explored the relationship between CXCL13 expression and clinicopathological characteristics. We also examined the possible correlation between CXCL13 expression and clinical outcomes, particularly with patients receiving postoperative adjuvant chemotherapy.

Materials and methods

Patients and database

The clinicopathological data of 441 gastric cancer patients from Zhongshan Hospital, Fudan University (Shanghai, China) in 2008 were retrospectively analyzed in the present study. All patients were divided randomly to the testing set or the validation set, comprising 214 and 227 patients, respectively. Patients with a history of preoperative chemotherapy or adjuvant radiation therapy were excluded. All patients were followed up until April, 2014. The Clinical Research Ethics Committee of Zhongshan Hospital sanctioned the use of human specimens, and all patients involved in the study signed informed consent. After sufficient preoperative evaluation, 210 patients in testing set and 222 patients in validation set received standard gastrectomy with D2 lymphadenectomy, while the other patients with distant metastasis received palliative resection.

The following clinicopathological variables were collected for each patient: age, gender, tumor size, tumor differentiation, Lauren’s classification, tumor lymph node metastasis stage (TNM) and receiving postoperative adjuvant chemotherapy. The reassessment of each patient’s tumor stage was in accordance with the 7th edition of the UICC (Union for International Cancer Control) and AJCC (American Joint Committee on Cancer) TNM Staging System. Overall survival (OS) was defined as the period of time between the operation date and either the most recent follow-up date or the date of disease-specific death. Patients who died of other causes were excluded. The median follow-up for the testing set was 39 months, and for the validation set was 42 months.

Immunohistochemistry and evaluation

The surgical specimens were formalin-fixed and paraffin-embedded. In the immunostaining of the tissue microarray (TMA), the primary antibody was anti-CXCL13 antibody (1:100 dilution, ab112521, Abcam, Cambridge, MA, USA). The stained sections were observed at 200× magnification by Olympus CDD camera and Nikon eclipse Ti-s microscope, and each image was taken under identical settings. Two independent pathologists, who were blinded to the patients’ outcomes, scored the staining intensity and extent using a semi-quantitative H-score: 3 × percentage of strongly staining cells + 2 × percentage of moderately staining cells + percentage of weakly staining cells, giving a range of 0–300. Median value derived from the testing set and applied to the validation set determined the cut-off point for tumoral CXCL13 high/low-level expression. The cut-off point was set at 40.

Statistical analysis

The statistical analyses were carried out by MedCalc 15.2.2 software (MedCalc, Mariakerke, Belgium). The Fisher’s exact method test, Pearson χ 2 test, and the Cochran–Mantel–Haenszel χ 2 test were applied to compare categorical variables. To assess the relationship between tumoral CXCL13 expression and clinical pathological features, continuous variables were analyzed by the Student’s t test. In both the univariate and multivariate models, Cox proportional hazard models were applied to analyze the continuous variables, and only those with statistically significant were included in the multivariate analyses. Next, OS curves were made using Kaplan–Meier analyses and the log rank test. All statistical tests were conducted at a two-sided significance level of 0.05.

Results

Patient characteristics

Patient characteristics are summarized in Table 1. In this study, there were 441 patients [316 male (71.7%), 125 female (28.3%)] with age ranging from 27 to 90. The average age of patients in the testing set was 59.0 ± 11.6 years old, and the average age of the validation set was 61.1 ± 11.4 years old. Two independent sets were with an overall similar tumour burden. Within the testing and validation set, 57.5% (testing set, n = 123) and 57.7% (validation set, n = 131) patients received postoperative adjuvant chemotherapy, respectively.

Table 1.

Correlation between CXCL13 expression and clinical pathological features in testing set (n = 214) and validation set (n = 227) of patients with gastric cancer

Characteristics Testing set Validation set
CXCL13 expression CXCL13 expression
All (n = 214) Low (n = 100) High (n = 114) P* All (n = 227) Low (n = 102) High (n = 125) P*
Age (years) 0.735 0.110
 Mean ± SD 59.0 ± 11.6 59.1 ± 11.4 58.8 ± 11.8 61.1 ± 11.4 60.8 ± 12.4 61.4 ± 10.6
Gender 0.222 0.684
 Female 63 34 29 62 26 36
 Male 151 66 85 165 76 89
Tumor size (cm) 0.031 0.008
 Mean ± SD 3.78 ± 2.09 3.33 ± 1.81 4.16 ± 2.23 3.77 ± 2.18 3.42 ± 1.85 4.05 ± 2.38
Differentiation 0.607 0.911
 Well 10 6 4 12 5 7
 Moderately 60 26 34 66 31 35
 Poorly 144 68 76 149 66 83
Lauren’s classification 0.251 0.007
 Intestinal 138 69 69 144 75 69
 Diffuse 76 31 45 83 27 56
Gastrectomy 0.093 0.118
 Proximal 28 15 13 37 15 22
 Distal 155 76 79 147 73 74
 Total 31 9 22 43 14 29
Depth of tumor invasion 0.264 0.206
 T1 44 26 18 39 18 21
 T2 23 11 12 40 21 19
 T3 45 21 24 37 11 26
 T4 102 42 60 111 52 59
Lymph node metastasis 0.553 0.846
 N0 82 41 41 88 40 48
 N1 24 13 11 26 10 16
 N2 44 17 27 40 17 23
 N3 64 29 35 73 35 38
Distant metastasis 0.709 0.818
 M0 210 99 111 222 100 122
 M1 4 1 3 5 2 3
pTNM stage 0.278 0.959
 I 54 31 23 59 27 32
 II 48 21 27 46 22 24
 III 108 47 61 117 51 66
 IV 4 1 3 5 2 3
Receiving postoperative adjuvant chemotherapy 0.402 0.922
 No 91 39 52 96 44 52
 Yes 123 61 62 131 58 73

CXCL13 C-X-C motif ligand 13

* Wilcoxon rank-sum test; Chi-square test for all the other analyses

Correlation between CXCL13 expression and clinicopathologic features

As shown in Fig. 1, CXCL13 was predominantly expressed in the tumor stroma. The staining intensity varied greatly in different specimens. High expression of CXCL13 was 53.3% (114 out of 214) and 55.1% (125 out of 227) in the training and validation sets, respectively. High CXCL13 expression was associated with large tumor size (P = 0.031 and 0.008, respectively) in the two independent sets. Additionally, solely in the validation set, CXCL13 expression was correlated with Lauren’s classification (P = 0.007). No other baseline characteristics were observed to be statistically significantly associated with CXCL13 expression level (Table 1).

Fig. 1.

Fig. 1

CXCL13 expression in gastric cancer tissues (×200 optical magnification). Representative immunohistochemical images of low CXCL13 expression (a, b) and high CXCL13 expression (c, d). H-score was calculated by the formula: 3 × percentage of strongly staining cells + 2 × percentage of moderately staining cells + percentage of weakly staining cells, giving a range of 0–300. a H-score = 3 × 0% + 2 × 0% + 1 × 0% = 0; b H-score = 3 × 10% + 2 × 0% + 1 × 10% = 40; c H-score = 3 × 20% + 2 × 10% + 1 × 0% = 80; d H-score = 3 × 40% + 2 × 0% + 1 × 0% = 120

The relationship between CXCL13 expression and clinical outcomes of gastric cancer patients

Kaplan–Meier survival analyses were conducted to evaluate the clinical outcomes according to CXCL13 expression. Patients with high CXCL13 expression were prone to worse OS in both the testing set (P = 0.006, Fig. 2a) and the validation set (P = 0.002, Fig. 2b), when compared to patients with low CXCL13 expression. Furthermore, the stratified analysis demonstrated that in patients with T2–T4 stage tumor, those with low intratumoral CXCL13 expression survived longer compared to those with high CXCL13 expression, in both the testing (P = 0.026, Fig. 2e) and validation sets (P < 0.001, Fig. 2f). For patients with a T1 stage tumor, the difference was not significant (testing set: P = 0.549, Fig. 2c; validation set: P = 0.895, Fig. 2d).

Fig. 2.

Fig. 2

Kaplan–Meier analyses of overall survival in gastric cancer based on CXCL13 expression. Kaplan–Meier analysis for overall survival of patients with gastric cancer in testing set (n = 214) and validation set (n = 227) according to CXCL13 expression in all patients (a, b), patients with T1 stage tumor (c, d) and patients with T2–4 stage tumor (e, f). P-value was calculated by log rank test, P < 0.05 was regarded as statistically significant

CXCL13 expression as independent indicator of gastric cancer prognosis

In univariate Cox regression analysis of OS, CXCL13 expression was demonstrated to be a prognostic factor (P < 0.001). To further examine whether CXCL13 expression is an independent predictor for gastric cancer prognosis, we conducted a multivariate analysis with the parameters depth of tumor invasion, lymph node metastasis, and distant metastasis (Table 2). For both the testing and validation set, the multivariate analysis revealed that CXCL13 expression could be an independent predictor of prognosis in gastric cancer cases. (P = 0.048 and P < 0.001, respectively).

Table 2.

Cox multivariate analysis identified the independent prognostic factors for overall survival in testing and validation sets of patients with gastric cancer

Variables Testing set Validation set
HR (95% CI) P HR (95% CI) P
Depth of invasion 0.037 < 0.001
 T1 1 (reference) 1 (reference)
 T2 + T3 + T4 2.292 (1.057–4.970) 1.154 (1.067–1.247)
Lymph node metastasis < 0.001 < 0.001
 N0 1 (reference) 1 (reference)
 N1 + N2 + N3 2.609 (1.547–4.400) 3.677 (2.198–6.153)
Distant metastasis 0.872 < 0.001
 No 1 (reference) 1 (reference)
 Yes 1.100 (0.348–3.478) 6.383 (2.544–16.016)
CXCL13 0.048 < 0.001
 Low 1 (reference) 1 (reference)
 High 1.486 (1.005–2.197) 2.186 (1.429–3.345)

CXCL13 C-X-C motif ligand 13, HR hazard ratio, CI confidence interval

Association between postoperative adjuvant chemotherapy and CXCL13 expression

Continuing on previous research suggesting that the immune system contributed to the effect of chemotherapy in gastric cancer, we evaluated the benefit of 5-FU (5-fluorouracil) based postoperative adjuvant chemotherapy according to CXCL13 expression. Chi-square test indicated that the proportion of CXCL13 high vs low patient was not statistically different in patients who received vs did not receive postoperative adjuvant chemotherapy (testing group: P = 0.402; validation group: P = 0.922). Since adjuvant chemotherapy were recommended for patients with advanced T stage tumors (pathologically staged T2 or higher) in Asia [20], we further divided the patients into two subgroups: T1 stage disease and T2–4 stage disease. Within both the testing and validation set, it was found that for the T2–4 stage patients who did not receive postoperative adjuvant chemotherapy, CXCL13 expression was not significantly correlated with OS (testing set: P = 0.802, 3-year survival rates: 45.7%, 5-year survival rates: 32.4%, Fig. 3a; validation set: P = 0.142, 3-year survival rates: 42.1%, 5-year survival rates: 38.4%, Fig. 3c). Whereas, in both the testing and validation set, it was found that for T2–4 stage patients who received postoperative adjuvant chemotherapy, low CXCL13 expression indicated better chemotherapy response, and positively correlated with OS (testing set: P = 0.014, 3-year survival rates: 52.9%, 5-year survival rates: 42.4%, Fig. 3b; validation set: P = 0.002, 3-year survival rates: 61.5%, 5-year survival rates: 53.7%, Fig. 3d).

Fig. 3.

Fig. 3

Relationship between CXCL13 expression and benefit from postoperative adjuvant chemotherapy. Among all T2–4 stage tumor patients, those who did not receive postoperative adjuvant chemotherapy showed no significant benefit from low CXCL13 expression in both the testing (a, P = 0.802, 3-year survival rates: 45.7%, 5-year survival rates: 32.4%) and validation set (c, P = 0.142, 3-year survival rates: 42.1%, 5-year survival rates: 38.4%). Whereas, for those received chemotherapy, low CXCL13 expression was positively, significantly correlated with OS in both the testing (b, P = 0.014, 3-year survival rates: 52.9%, 5-year survival rates: 42.4%) and validation set (d, P = 0.002, 3-year survival rates: 61.5%, 5-year survival rates: 53.7%). P-value was calculated by log rank test

Discussion

The results of our multivariate analysis confirmed that CXCL13 could be regarded as an independent, prognostic factor for gastric cancer patients. Patients with higher CXCL13 expression tended to have worse clinical outcomes in survival analyses. It was also found that CXCL13 expression could further stratify gastric cancer patients in T2–4 stage, while it failed to stratify patients with T1 stage cancer. Low expression of CXCL13 predicted better chemotherapy response in T2–4 patients who received postoperative adjuvant chemotherapy. To our knowledge, this is the first paper reporting the association between CXCL13 expression level and clinical outcomes of gastric cancer patients, particularly in those receiving postoperative adjuvant chemotherapy.

CXCL13 is a small cytokine from C-X-C chemokine family, and is selectively chemotactic for B cells. It is also known as a follicular helper T cell marker [21], and is involved in germinal center formation. Moreover, it has been reported that CXCL13 is mainly expressed in the tumor stroma, which is consistent with our study’s findings, and was up-regulated by macrophages [22, 23]. Tumor-associated macrophages (TAMs) were found to be related with poor outcomes in gastric cancer [24], and it was pointed out that TAMs promoted the progression of tumors [25].

In the incipient stage, the host provides nutrition for the tumor and supports tumor development and progression via dispersion. Then, when the tumor reaches the advanced state, this process is not sufficient anymore for the tumor to further develop, and other mechanisms promoting neoangiogenesis and lymphangiogenesis are needed. Previous studies suggest that CXCL13, along with its receptor, CXCR5, plays an important role in the interaction between tumor cells and TAMs [22, 26]. Previous research reported TAMs to have the ability of supporting neoangiogenesis and lymphangiogenesis in gastric cancer, and, thus, to promote tumor cell proliferation and invasion [27]. Considering that CXCL13 is mainly expressed in tumor stroma and up-regulated by macrophages, we hypothesize that its high expression may relate to tumor invasion in this way.

Additionally, it is reported that CXCL13 and its receptor CXCR5 are associated with the expression of Matrix Metalloproteinases (MMPs). As a group of calcium-dependent zinc-containing endopeptidasess, MMPs are known to be involved in cell proliferation, migration and neoangiogenesis [28]. CXCL13 stimulates MMP-9 expression via RANKL–Src (receptor activator of nuclear factor kappa-B ligand–sarcoma) axis in breast cancer cell lines [9]. Expressions of other MMPs, such as MMP-1, MMP-2, MMP-3, MMP-10, MMP-12 and MMP-13 [29], are also increased, indicating that CXCL13 may promote the synthesis of MMPs, and further aggravate the degradation of extracellular matrix, initiate angiogenesis. In the meantime, a large number of malignant tumor cells could be transferred through blood vessels, causing tumor growth and invasion. This may provide a possible explanation for our finding that in more advanced tumors (T2–4 stage tumor), the OS of high CXCL13 expression and low CXCL13 expression subgroups differed significantly.

In the phase III AVAGAST trial, the addition of bevacizumab (Avastin) to chemotherapy failed to improve OS rates in patients with advanced gastric cancer [30]. From these facts, we infer that gastric cancer can promote angiogenesis, besides the VEGF (vascular endothelial growth factor) signal pathway. Being an angiogenesis inhibitor, bevacizumab can reduce the blood supply and form a hypoxia microenvironment causing tumor apoptosis [31]. Ammirante et al. has demonstrated that hypoxia promotes prostate cancer progression by up-regulating myofibroblast-derived CXCL13 expression [32]. Based on this, we hypothesize that under the hypoxia microenvironment, macrophages are recruited by the tumor microenvironment to eliminate tumor necrosis tissue. At the same time, the recruited TAMs, secreting CXCL13, modulate MMPs to degrade the vascular basement membrane, and thereby increase tumor angiogenesis, leading to bevacizumab resistance. This suggests that the combined use of CXCL13-targeted antibody with bevacizumab may reduce the risk of drug resistance and even improve patient clinical outcomes, provided that attention is paid to the CXCL13 expression in tumor tissues.

Postoperative adjuvant chemotherapy has been demonstrated to prolong some gastric cancer patients’ survival periods. However, the side effects of cytotoxic chemotherapy drugs can result in a decline of life quality when the patient is not sensitive to the chemotherapy. Thus, it is crucial to distinguish patients that benefit from chemotherapy from those do not. In the present study, 254 out of 441 patients received 5-FU-based postoperative adjuvant chemotherapy, and the correlation between CXCL13 expression and OS were assessed. As shown in Fig. 3, within patients with T2–4 stage tumors, only those with low CXCL13 expression benefited from postoperative adjuvant chemotherapy. Thus, it appears that low CXCL13 expression indicates better chemotherapy response. It has been reported that CXCL13 expression was closely related to the activity of phosphatidylinositol 3-kinase/protein kinase B (PI3-K/Akt) signaling pathway [29], and it could induce phosphorylation of ERK (extracellular regulated protein kinase), JNK (c-Jun N-terminal kinase) and Akt [33], which subsequently makes CXCL13 a potent activation of Akt. In addition, activation of Akt-mediated signaling pathways could provide cells with a survival signal and help them fight against apoptosis [34]. From this information, we infer that inactivation of Akt expression could effectively increase the drug-induced apoptosis of tumor cells [35], and could cooperate with 5-FU to inhibit tumor cell proliferation as well as to enhance the tumor sensitivity to chemotherapy [36]. Thus, low expression of CXCL13 might be associated with down-regulation of Akt expression in PI3K/Akt signaling pathway and, therefore, enhance the tumor sensitivity to chemotherapy. This might form an explanation for why T2–4 stage gastric cancer patients with low CXCL13 expression could benefit from 5-FU-based postoperative adjuvant chemotherapy.

Conclusions

In brief, our study suggests that increased CXCL13 expression might be regarded as a prognostic factor for the gastric cancer patients. Higher CXCL13 expression is often associated with poorer clinical outcomes. Furthermore, CXCL13 expression could further stratify gastric cancer patients in the T2–4 stage. More importantly, it is promising to explore CXCL13 as a chemotherapeutic-sensitive marker for patients with gastric cancer, in particular for patients with advanced tumor invasion.

Acknowledgements

This study was funded by Grants from National Natural Science Foundation of China (81471621, 81472227, 81501999, 81671628 and 31770851) and Shanghai Sailing Program (17YF1402200). All these study sponsors have no roles in the study design, in the collection, analysis, and interpretation of data.

Abbreviations

Akt

Protein kinase B, PKB

BCA-1

B cell attracting chemokine 1

CXCL13

Chemokine (C-X-C motif) ligand 13

CXCR5

Chemokine (C-X-C motif) receptor 5

IOD

Integrated optical density

MMP

Matrix metalloproteinase

PI3-K

Phosphatidylinositol 3-kinase

TAMs

Tumor-associated macrophages

TMA

Tissue microarray

Author contributions

Y. Wei, C. Lin and H. Li: acquisition of data, analysis and interpretation of data, statistical analysis and drafting of the manuscript. Z. Xu, J. Wang, R. Li, H. Liu and H. Zhang: technical and material support. H. He and J. Xu: study concept and design, analysis and interpretation of data, drafting of the manuscript, obtained funding and study supervision. All authors read and approved the final manuscript.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

Footnotes

Yichou Wei, Chao Lin and He Li contributed equally to this work.

Contributor Information

Hongyong He, Phone: +86 21 15021383022, Email: he.hongyong@zs-hospital.sh.cn.

Jiejie Xu, Phone: +86 21 54237332, Email: jjxufdu@fudan.edu.cn.

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