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Serum CXCL13 levels are associated with lymphoma risk and lymphoma occurrence in primary Sjögren’s syndrome

Abstract

Primary Sjögren’s syndrome (pSS) is an autoimmune disease characterised by an increased risk for non-Hodgkin lymphoma (NHL) development. Ectopic germinal centre (GC) in the salivary gland is associated with increased NHL risk in pSS, and the chemokine CXCL13 is implicated in B-cell migration and GC formation. Serum CXCL13 concentrations were quantified by ELISA in 48 healthy individuals, 273 pSS patients without NHL (pSS-nonL), and 38 pSS patients with NHL (pSS-NHL+) from the United Kingdom Primary Sjögren’s Syndrome Registry cohort. PSS-nonL patients were stratified into low risk (LR), moderate risk (MR) and high risk (HR) groups according to the lymphoma risk score proposed by Fragkioudaki et al. Differences in serum CXCL13 levels among groups were analysed using the Wilcoxon method. Also, changes in serum CXCL13 over a time period of at least 1 year and a median 4 years were assessed for 200 pSS-nonL and 8 pSS-NHL+ patients. In addition, associations of serum CXCL13 with B-cell and inflammatory markers were investigated by correlation analyses and logistic regression. Serum CXCL13 levels were higher in all pSS groups compared to controls (p < 0.0001), and in pSS-NHL+ compared to pSS-nonL patients (p = 0.0204). LR patients had lower CXCL13 levels than MR patients (p < 0.0001) and pSS-NHL+ patients (p = 0.0008). CXCL13 levels remained stable over the study period for all pSS groups. CXCL13 was associated (p < 0.0005) with Immunoglobulin G (IgG), B-cell activating factor, β2 microglobulin, combined free light chains, κ and λ light chains, anti-Ro/SSA, anti-La/SSB, and erythrocyte sedimentation rate. IgG and C3 controlled for age and gender were significantly associated with NHL risk in pSS. Serum CXCL13 levels were elevated in pSS-NHL+ and MR patients compared to LR patients and remained stable over time. Further study is required to investigate the role of CXCL13 in pSS-associated NHL risk.

Introduction

Primary Sjögren’s syndrome (pSS) is a chronic autoimmune disease with a wide clinical spectrum that extends from lacrimal and salivary gland (SG) exocrinopathy to systemic manifestations with an increased risk for B-cell NHL [1,2,3]. NHL is a serious complication in pSS affecting around 5–10% of patients. The relative increased risk compared to the general population is estimated to be 9- to 17-fold [1,2,3,4]. Lymphoma pathogenesis in pSS is a multifactorial process in which chronic antigenic stimulation in genetically predisposed individuals with pSS may trigger polyclonal and later oligoclonal B-cell activation leading to the development of malignant B-cell NHL [5].

One of the most frequently reported histopathological characteristic indicatives of high risk for pSS-associated NHL is the formation of ectopic GC in the SG epithelium [6]. Ectopic GC formation is regulated by cytokines and chemokines such as B-cell activating factor (BAFF), which mediates T-cell activation and B-cell survival, and has been associated with lymphomagenesis [7,8,9].

The chemokine (C-X-C motif) ligand 13 (CXCL13) and its CXC chemokine receptor 5 (CXCR5) play a critical role in the maintenance of ectopic tertiary lymphoid structures, the organisation of B-cell follicles and the migration of B cells into ectopic GC [10, 11]. CXCL13, also known as B-cell chemoattractant (BCA-1), is produced by follicular dendritic cells and GC T follicular helper cells, in secondary lymphoid organs [12, 13]. The important role of the CXCL13–CXCR5 pair in vivo has been shown by the impaired migration of activated B cells into splenic follicles in CXCR5 knockout mice and their failure to form lymph nodes [14, 15]. Moreover, using transgenic mice expressing only CXCR5 in β cells of the pancreatic islets demonstrated that CXCL13 expression was sufficient not only to mediate B-cell recruitment but also to induce lymphoid neogenesis [16]. Furthermore, the development of a two-dimensional model showed that CXCL13/CXCR5 signalling enhances antigen encounter with BCR-triggered B-cell activation by shaping cell dynamics [17].

CXCL13 is found in human blood, plasma and serum and high CXCL13 levels have been associated with pSS and systemic lupus erythematosus (SLE) [18,19,20,21]. A previous study that included patients from the Assessment of Systemic Signs and Evolution of Sjögren’s Syndrome (ASSESS) cohort showed that serum CXCL13 and CCL11 levels were elevated in pSS patients with high EULAR Sjögren’s Syndrome Disease Activity Index (ESSDAI) score, B-cell activation and NHL [19].

The aim of the current study was to investigate the potential of CXCL13 to assess NHL risk in pSS. The establishment of additional easily measured NHL risk biomarkers can contribute to improved patient management and stratification of pSS patients.

Materials and methods

Study participants

Study participants were selected from the United Kingdom Primary Sjögren’s Syndrome Registry (UKPSSR) cohort which includes approximately 700 pSS patients and 400 healthy controls who do not have an autoimmune condition [22]. All pSS patients fulfilled the American-European Consensus Classification Criteria (AECG) for pSS diagnosis and all study participants provided written informed consent to be included in the registry. This study has included the following subject groups: (1) 48 healthy individuals, which was considered a sufficient number of controls for this study, (2) 273 pSS-nonL patients [200 had follow-up (visit 2) cases], and (3) 38 pSS-NHL+ patients (8 had visit 2 cases). The minimum follow-up time limit for the patients was 1 year and the median time, 4 years. Demographics and disease characteristics of the study population are shown in Table 1. All clinical data were collected contemporaneously at the time of recruitment.

Table 1 Demographics and disease characteristics of primary Sjögren’s syndrome patients without and with non-Hodgkin lymphoma at visit 1 and visit 2

Patient stratification into NHL risk groups

PSS-nonL patients were categorised into low, moderate and high NHL risk groups using the risk assessment tool proposed by Fragkioudaki et al. [23]. PSS-NHL+ patients consisted of 38 patients with a history of NHL (Table S1, Supplementary Material 1). The NHL risk score was calculated based on the number of independent risk factors at pSS diagnosis according to Fragkioudaki’s risk assessment tool for NHL development [23]. The NHL risk factors were persistent SG enlargement, lymphadenopathy, Raynaud’s phenomenon, Ro/SSA and/or La/SSB autoantibodies, rheumatoid factor (RF) positivity, monoclonal gammopathy, and C4 hypocomplementemia. Patients with ≤ 2 risk factors are considered low risk (LR), patients with between 3 and 6 risk factors are considered moderate risk (MR) and patients having all 7 risk factors are considered high risk (HR). In our study, there were 129 LR, 143 MR, 38 pSS-NHL+ and only 1 HR patients. This patient developed lymphoma 6 years after visit 1.

Measurement of serum CXCL13 levels

Peripheral blood samples were obtained at visit 1 and visit 2, and serum was extracted and stored at − 80 °C until use. Serum CXCL13 concentrations were quantified using the BLC/CXCL13 human enzyme-linked immunosorbent assay (ELISA) kit according to the manufacturer’s instructions (ThermoFisher Scientific).

Measurement of serum B-cell and inflammatory markers

Anti-Ro/SSA, anti-La/SSB, RF, IgG, immunoglobulin A (IgA), immunoglobulin M (IgM), C3, C4, ESR, white blood cell count (WCC) and C-reactive protein (CRP) were measured by the clinical laboratory of the recruiting hospitals. BAFF, β2 microglobulin (B2M), κ light chain, λ light chain, κ–λ ratio, and combined free light chains (CMBY) were measured by The Binding Site (Birmingham, UK) as previously described [24].

Statistical analysis

Visual checks of the distribution of variables were made and log transformation was performed for positively skewed data. Differences in serum CXCL13 concentrations between risk groups, and differences in CXCL13 between visit 1 and visit 2 patients were analysed using the Kruskal–Wallis test and Wilcoxon signed-rank test, respectively. Correlation analyses were performed to find associations of CXCL13 with B-cell and inflammatory markers, and were expressed as Pearson correlation coefficients (r). Logistic regression analysis was performed to model NHL risk against CXCL13, and other candidate biomarkers. Data are presented as medians and interquartile ranges (IQR) for continuous variables and as numbers or percentages for categorical variables. All statistical tests were performed in JMP statistical software (Version 13).

Results

Serum CXCL13 levels are associated with pSS and pSS-associated NHL risk and occurrence

Serum concentrations of CXCL13 were significantly elevated in all pSS groups compared to healthy controls (p < 0.0001) (see Fig. 1) and in pSS-NHL+ patients compared to pSS-nonL patients (p = 0.0204) (see Supplementary Fig. S2). At visit 1, LR patients had lower serum CXCL13 levels than MR patients (p < 0.0001) and pSS-NHL+ patients (p = 0.0008). No significant difference was found between MR and pSS-NHL+ patients (see Fig. 1).

Fig. 1
figure1

Comparison of serum CXCL13 levels among healthy controls (HC), low risk (LR) pSS, moderate risk (MR) pSS and pSS with non-Hodgkin lymphoma (pSS-NHL+) patients at visit 1. Serum CXCL13 levels were higher in all pSS patients when compared with HC (p < 0.0001). CXCL13 levels were lower in the low risk group when compared with the moderate risk (p < 0.0001) and the pSS-NHL+ group (p = 0.0008) but not significantly different between the pSS-NHL+ and the moderate risk group. Comparisons of CXCL13 concentrations among groups were performed using the Kruskal–Wallis test. The boxes show the median CXCL13 concentration and the quartiles Q1 and Q3. Each dot represents an individual patient. The values beyond the whiskers are outliers. The analysis included all values including these outliers

Serum CXCL13 levels and NHL risk score remained stable between the two visits

We then compared the CXCL13 concentrations in 208 matched paired patient samples with visit 1 and visit 2. We found that serum CXCL13 levels remained stable between the two visits (see Fig. 2). NHL risk score remained unchanged between the two time points. In the LR group, 99% patients remained in the same group, 1% changed to the MR group and none developed NHL. In the MR group, 92% patients remained in the same group, 5.4% changed to the LR group and 2.2% developed NHL.

Fig. 2
figure2

Comparison of serum CXCL13 levels between visit 1 and visit 2 patients with pSS using the Wilcoxon Signed Rank test. No significant difference was found in the serum CXCL13 concentrations between visit 1 and visit 2 patients. Number of matched paired pSS patients: 208. The boxes show the median CXCL13 concentration the quartiles Q1 and Q3. Each dot represents an individual patient. The values beyond the bars are outliers that were included in the analysis. Yellow dot colour: Low risk pSS patients, Orange dot colour: Moderate risk pSS patients. Red dot colour: pSS patients with NHL

CXCL13 is associated with B-cell and inflammatory markers

Correlation analyses were performed investigating the relationship between CXCL13 and other B-cell and inflammatory markers. There were statistically significant associations with BAFF (r = 0.263, p = 0.0002), B2M (r = 0.459, p < 0.0001), CMBY (r = 0.375, p < 0.0001), κ light chain (r = 0.358, p < 0.0001), λ light chain (r = 0.338, p < 0.0001), IgG (r = 0.320, p < 0.0001), and RF (p = 0.0039) (see Table 2). In addition, there was a statistically significant difference in Ro/La status: patients with anti-Ro/SSA and anti-La/SSB positivity had higher CXCL13 levels (p < 0.0001 and p = 0.0003, respectively). The relationship between CXCL13 and anti-Ro/-La positivity survived when total IgG was controlled for. Furthermore, there was a significant association between CXCL13 and ESR (r = 0.300, p < 0.0001).

Table 2 Associations of CXCL13 with serological B-cell and inflammatory markers in primary Sjögren’s syndrome

IgG and C3 are NHL risk factors in pSS

While CXCL13 is significantly associated with NHL risk score, this may arise indirectly as a result of its association with the B-cell and inflammatory markers discussed in “CXCL13 is associated with B cell and inflammatory markers”. Accordingly, we modelled NHL risk as a function of CXCL13 and other candidates using logistic regression. There were sixteen candidate variables for inclusion in the model. To construct this model, we first screened these using univariate logistic regression identifying those candidates most closely associated with NHL risk. NHL risk was significantly associated with CXCL13, CMBY, κ light chain, λ light chain, IgG, IgM, B2M, ESR, and C3. All nine candidates were entered into a multiple logistic regression model along with age and sex, and the remaining candidates were eliminated using a backwards stepwise method minimising the AIC criterion. Just two candidates, IgG and C3, survived backward elimination. Higher IgG levels were associated with higher NHL risk (p < 0.0001) and lower C3 levels with lower NHL risk (p = 0.0041). While the CXCL13 effect was robust to inclusion of either IgG or C3, it was sensitive to the inclusion of both (p = 0.0554). We note that CXCL13 is weakly associated with NHL risk, once IgG and C3 levels are included in the model.

Discussion

This study demonstrates that serum CXCL13 levels are elevated in all pSS groups compared to healthy individuals and are associated with moderate risk for NHL development in pSS. In addition, serum CXCL13 and NHL risk score remain relatively stable over a median 4-year time interval. Serum CXCL13 is also associated with B-cell and inflammatory markers including BAFF, B2M, CMBY, κ and λ light chains, IgG, ESR, RF, Ro/SSA and La/SSB autoantibodies. Moreover, IgG and C3 are associated with NHL risk in pSS.

Several clinical and biological factors have been related with NHL in pSS and used to predict the disease outcome and survival rate of patients [2, 23, 25,26,27]. Clinical factors include persistent SG enlargement, palpable purpura, fatigue, splenomegaly, lymphadenopathy, peripheral neuropathy, glomerulonephritis and high ESSDAI score [1, 2, 23, 25,26,27,28]. Biological risk factors include C4/C3 hypocomplementemia, cryoglobulinaemia, serum monoclonal component, CD4+ T lymphocytopenia, anti-Ro/SSA, anti-La/SSB and RF positivity [2, 23, 25, 28,29,30,31]. The formation of ectopic GC in the SG epithelium is another reported risk factor for pSS-associated NHL development [6]. One of the major chemokines involved in the initiation and maintenance of ectopic GCs is CXCL13. Considering this, the purpose of the present study was to investigate the role of serum CXCL13 as a potential NHL risk biomarker in pSS.

In this study, we found increased CXCL13 concentrations in the serum of pSS patients when compared to healthy individuals. Also, pSS patients with a history of NHL had higher serum CXCL13 levels than those without. Similar findings were presented in a previous study that included patients from the ASSESS cohort [19].

Serum CXCL13 levels were found to be higher in both the MR and pSS-NHL+ groups compared to the LR group, but no difference was found between the MR and pSS-NHL+ groups. CXCL13 could not discriminate between the MR and pSS-NHL+ groups but could distinguish the LR from the MR group which may indicate a role of CXCL13 in the early stages of the pathophysiological process of lymphoma development. Rather than supporting the proliferation or survival of malignant B cells in established NHL, CXCL13 may play a role in autoreactive B-cell generation and expansion in ectopic GC predisposing patients to NHL development. Ectopic GC express activation-induced cytidine deaminase (AID) which supports the class switch recombination (CSR) and somatic hypermutation (SHM) of the Ig genes. Deregulation of CSR and SHM can favour the selection of autoreactive GC B-cell clones. It is shown that AID is invariably expressed in the ectopic GC B cells in the pSS minor SG and in parotid pSS mucosa-associated lymphoid tissue (MALT) [32]. The potential role of CXCL13 in autoreactive B-cell generation is described in a different study where immunohistochemistry and RT-PCR analysis results demonstrated increased CXCL13 transcripts in SS minor SGs in the reactive follicular B-cell component [11].

Overall serum CXCL13 levels remained stable between the two visits over a median of a 4-year period. It would be interesting to measure changes in serum CXCL13 levels over a longer duration as a potential biomarker of disease progression. Also, among pSS-nonL patients at visit 1, three developed NHL at visit 2. One of the patients was in the HR group, whereas the other two were in the MR group. None of the LR patients developed NHL within the follow-up period.

Studies have reported that specific B-cell markers such as monoclonal immunoglobulins, free light chains found in the serum and urine, and increased serum BAFF levels are associated with lymphoma in pSS patients [9, 20]. Based on these studies, we might expect a correlation between CXCL13 levels and B-cell markers. We found that CXCL13 levels were positively correlated with IgG. IgG is known to be highly expressed by the SG in pSS and may contribute to the uncontrolled stimulation of RF positive B cells within GC [33]. CXCL13 levels were also positively correlated with BAFF, B2M, CMBY, κ light chain, λ light chain, anti-Ro/SSA, anti-La/SSB and RF. The observed correlation between CXCL13 and these markers may support the role of CXCL13 in lymphoma. However, the exact pathway is unknown and deserves further investigation.

Finally, we modelled NHL risk as a function of CXCL13 and other candidates using logistic regression. The final model included IgG and C3 controlled for age and sex. CXCL3 was weakly associated with NHL risk in the inclusion of both IgG and C3 but its effect was robust to the inclusion of either IgG or C3. Further study is required to examine the relationship and interactions between C3, IgG and CXCL13.

A key strength of our study is the large number of patient participants included from different centres across the UK, increasing its ecological relevance. However, further studies are needed to confirm the findings using longitudinal studies with longer follow-up and in other populations.

There are some limitations to our study. CXCL13 concentrations were measured in the serum, rather than in SGs, from where most NHL arise. However, previous studies have shown that CXCL13 is not only expressed locally, but also it can be found in the serum and plasma of patients [1934]. In addition, biopsy is an invasive process and not all patients are willing to provide a biopsy for research or for the diagnostic process. Therefore, serum CXCL13 may be more appealing as biomarker than SG CXCL13. A further limitation is that we cannot exclude the possibility that medications used to treat patients with NHL prior to the blood collection for this study may affect serum CXCL13 concentrations. Another limitation is that Fragkioudaki’s risk model has yet to be validated in an independent study. However, although many clinical and biological factors have been described as lymphoma predictors in pSS, there are no widely accepted models for assessing lymphoma risk. Furthermore, based on the data from this study, the incidence of progression to lymphoma among the LR, MR and HR groups was 0%, 3% and 100%, respectively, giving some support to the validity of Fragkioudaki’s scoring system.

In conclusion, this study has demonstrated that serum CXCL13 levels are associated with NHL risk and occurrence in pSS. Further research to explore serum CXCL13 as a potential NHL risk biomarker in pSS is warranted.

References

  1. 1.

    Anaya J, Mcguff H, Banks P, Talal N (1996) Clinicopathological factors relating malignant lymphomawith Sjögren’s syndrome. Semin Arthritis Rheum 25(5):337–346. https://doi.org/10.1016/S0049-0172(96)80019-9

  2. 2.

    Theander E, Henriksson G, Ljungberg O, Mandl T, Manthorpe R, Jacobsson LT (2006) Lymphoma and other malignancies in primary Sjogren’s syndrome: a cohort study on cancer incidence and lymphoma predictors. Ann Rheum Dis 65(6):796–803. https://doi.org/10.1136/ard.2005.041186

  3. 3.

    Solans-Laque R, Lopez-Hernandez A, Bosch-Gil JA, Palacios A, Campillo M, Vilardell Tarres M (2011) Risk, predictors, and clinical characteristics of lymphoma development in primary Sjogren’s syndrome. Semin Arthritis Rheum 41:415–423. https://doi.org/10.1016/j.semarthrit.2011.04.006

  4. 4.

    Smedby K, Hjalgrim H, Askling J, Chang E, Gregersen H, Porwit-MacDonald A et al (2006) Autoimmune and chronic inflammatory disorders and risk of non-Hodgkin lymphoma by subtype. JNCI J Natl Cancer Inst 98(1):51–60. https://doi.org/10.1093/jnci/djj004

  5. 5.

    Tzioufas A, Voulgarelis M (2007) Update on Sjögren’s syndrome autoimmune epithelitis: from classification to increased neoplasias. Best Pract Res Clin Rheumatol 21(6):989–1010. https://doi.org/10.1016/j.berh.2007.09.001

  6. 6.

    Theander E, Vasaitis L, Baecklund E, Nordmark G, Warfvinge G, Liedholm R et al (2011) Lymphoid organisation in labial salivary gland biopsies is a possible predictor for the development of malignant lymphoma in primary Sjogren’s syndrome. Ann Rheum Dis 70(8):1363–1368. https://doi.org/10.1136/ard.2010.144782

  7. 7.

    Sutherland A, Mackay F, Mackay C (2006) Targeting BAFF: Immunomodulation for autoimmune diseases and lymphomas. Pharmacol Ther 112(3):774–786. https://doi.org/10.1016/j.pharmthera.2006.06.002

  8. 8.

    Nezos A, Papageorgiou A, Fragoulis G, Ioakeimidis D, Koutsilieris M, Tzioufas A et al (2014) B-cell activating factor genetic variants in lymphomagenesis associated with primary Sjogren’s syndrome. J Autoimmun 51:89–98. https://doi.org/10.1016/j.jaut.2013.04.005

  9. 9.

    Quartuccio L, Salvin S, Fabris M, Maset M, Pontarini E, Isola M et al (2012) BLyS upregulation in Sjogren’s syndrome associated with lymphoproliferative disorders, higher ESSDAI score and B-cell clonal expansion in the salivary glands. Rheumatology 52(2):276–281. https://doi.org/10.1093/rheumatology/kes180

  10. 10.

    Cupedo T, Mebius RE (2003) Role of chemokines in the development of secondary and tertiary lymphoid tissues. Semin Immunol 15:243–248. https://doi.org/10.1016/j.smim.2003.08.002

  11. 11.

    Barone F, Bombardieri M, Rosado M, Morgan P, Challacombe S, De Vita S et al (2008) CXCL13, CCL21, and CXCL12 expression in salivary glands of patients with Sjogren’s syndrome and MALT lymphoma: association with reactive and malignant areas of lymphoid organization. J Immunol 180(7):5130–5140. https://doi.org/10.4049/jimmunol.180.7.5130

  12. 12.

    Allen CD, Cyster JG (2008) Follicular dendritic cell networks of primary follicles and germinal centers: phenotype and function. Semin Immunol 20(1):14–25. https://doi.org/10.1016/j.smim.2007.12.001

  13. 13.

    Rasheed A-U, Rahn H-P, Sallusto F, Lipp M, Müller G (2006) Follicular B helper T cell activity is confined to CXCR5(hi)ICOS(hi) CD4 T cells and is independent of CD57 expression. Eur J Immunol 36(7):1892–1903. https://doi.org/10.1002/eji.200636136

  14. 14.

    Förster R, Mattis A, Kremmer E, Wolf E, Brem G, Lipp M (1996) A putative chemokine receptor, BLR1, directs B cell migration to defined lymphoid organs and specific anatomic compartments of the spleen. Cell 87(6):1037–1047. https://doi.org/10.1016/S0092-8674(00)81798-5

  15. 15.

    Ansel KM, Ngo VN, Hyman PL, Luther SA, Forster R, Sedgwick JD, Browning JL, Lipp M, Cyster JG (2000) A chemokine-driven feedback loop organizes lymphoid follicles. Nature 406:309–314. https://doi.org/10.1038/35018581

  16. 16.

    Luther S, Lopez T, Bai W, Hanahan D, Cyster J (2000) BLC expression in pancreatic islets causes B cell recruitment and lymphotoxin-dependent lymphoid neogenesis. Immunity 12(5):471–481. https://doi.org/10.1016/S1074-7613(00)80199-5

  17. 17.

    Saez de Guinoa J, Barrio L, Mellado M, Carrasco Y (2011) CXCL13/CXCR5 signaling enhances BCR-triggered B-cell activation by shaping cell dynamics. Blood 118(6):1560–1569. https://doi.org/10.1182/blood-2011-01-332106

  18. 18.

    Fava R, Kennedy S, Wood S, Bolstad A, Bienkowska J, Papandile A et al (2011) Lymphotoxin-beta receptor blockade reduces CXCL13 in lacrimal glands and improves corneal integrity in the NOD model of Sjögren’s syndrome. Arthritis Res Ther 13(6):R182. https://doi.org/10.1186/ar3507

  19. 19.

    Nocturne G, Seror R, Fogel O, Belkhir R, Boudaoud S, Saraux A et al (2015) CXCL13 and CCL11 serum levels and lymphoma and disease activity in primary Sjögren’s syndrome. Arthritis Rheumatol 67(12):3226–3233. https://doi.org/10.1002/art.39315

  20. 20.

    Colafrancesco S, Priori R, Smith C, Minniti A, Iannizzotto V, Pipi E et al (2019) CXCL13 as biomarker for histological involvement in Sjögren’s syndrome. Rheumatology 59(1):165–170. https://doi.org/10.1093/rheumatology/kez255

  21. 21.

    Fang C, Luo T, Lin L (2017) The correlational research among serum CXCL13 levels, circulating plasmablasts and memory B cells in patients with systemic lupus erythematosus. Medicine 96(48):e8675. https://doi.org/10.1097/MD.0000000000008675

  22. 22.

    Ng W, Bowman S, Griffiths B (2010) United Kingdom primary Sjogren’s syndrome registry—a united effort to tackle an orphan rheumatic disease. Rheumatology 50(1):32–39. https://doi.org/10.1093/rheumatology/keq240

  23. 23.

    Fragkioudaki S, Mavragani C, Moutsopoulos H (2016) Predicting the risk for lymphoma development in Sjogren syndrome. Medicine 95(25):e3766. https://doi.org/10.1097/MD.0000000000003766

  24. 24.

    James K, Chipeta C, Parker A, Harding S, Cockell S, Gillespie C et al (2018) B-cell activity markers are associated with different disease activity domains in primary Sjögren’s syndrome. Rheumatology 57(7):1222–1227. https://doi.org/10.1093/rheumatology/key063

  25. 25.

    Skopouli F, Dafni U, Ioannidis J, Moutsopoulos H (2000) Clinical evolution, and morbidity and mortalityof primary Sjögren’s syndrome. Semin Arthritis Rheum 29(5):296–304. https://doi.org/10.1016/S0049-0172(00)80016-5

  26. 26.

    Ioannidis J, Vassiliou V, Moutsopoulos H (2002) Long-term risk of mortality and lymphoproliferative disease and predictive classification of primary Sjögren’s syndrome. Arthritis Rheum 46(3):741–747. https://doi.org/10.1002/art.10221

  27. 27.

    Papageorgiou A, Ziogas D, Mavragani C, Zintzaras E, Tzioufas A, Moutsopoulos H et al (2015) Predicting the outcome of Sjogren’s syndrome-associated non-Hodgkin’s lymphoma patients. PLoS ONE 10(2):e0116189. https://doi.org/10.1371/journal.pone.0116189

  28. 28.

    Kassan S, Thomas T, Moutsopoulos H, Hoover R, Kimberly R, Budman D et al (1978) Increased risk of lymphoma in sicca syndrome. Ann Intern Med 89(6):888. https://doi.org/10.7326/0003-4819-89-6-888

  29. 29.

    Voulgarelis M, Ziakas P, Papageorgiou A, Baimpa E, Tzioufas A, Moutsopoulos H (2012) Prognosis and outcome of non-Hodgkin lymphoma in primary Sjögren syndrome. Medicine 91(1):1–9. https://doi.org/10.1371/journal.pone.0116189

  30. 30.

    Tzioufas A, Kapsogeorgou E, Moutsopoulos H (2012) Pathogenesis of Sjögren’s syndrome: what we know and what we should learn. J Autoimmun 39(1–2):4–8. https://doi.org/10.1016/j.jaut.2012.01.002

  31. 31.

    Quartuccio L, Isola M, Baldini C, Priori R, Bartoloni Bocci E, Carubbi F et al (2014) Biomarkers of lymphoma in Sjögren’s syndrome and evaluation of the lymphoma risk in prelymphomatous conditions: results of a multicenter study. J Autoimmun 51:75–80. https://doi.org/10.1016/j.jaut.2013.10.002

  32. 32.

    Bombardieri M, Barone F, Humby F, Kelly S, McGurk M, Morgan P et al (2007) Activation-induced cytidine deaminase expression in follicular dendritic cell networks and interfollicular large B cells supports functionality of ectopic lymphoid neogenesis in autoimmune sialoadenitis. J Autoimmun 179(7):4929–4938. https://doi.org/10.4049/jimmunol.179.7.4929

  33. 33.

    Martin T, Weber JC, Levallois H, Labouret N, Soley A, Koenig S et al (2001) Salivary gland lymphomas in patients with Sjogren’s syndrome may frequently develop from rheumatoid factor B cells. Arthritis Rheum 43(4):908–916. https://doi.org/10.1002/1529-0131(200004)43:4%3c908:AID-ANR24%3e3.0.CO;2-K

  34. 34.

    Havenar-Daughton C, Lindqvist M, Heit A, Wu J, Reiss S, Kendric K et al (2016) CXCL13 is a plasma biomarker of germinal center activity. Proc Natl Acad Sci 113(10):2702–2707. https://doi.org/10.1073/pnas.1520112113

  35. 35.

    Traianos E, Locke J, Lendrem D et al (2019) FRI0652 serum CXCL13 levels are associated with lymphoma risk and lymphoma occurrence in primary Sjögren’s syndrome. Ann Rheum Dis 78:1023–1024. https://doi.org/10.1136/annrheumdis-2019-eular.4134

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Acknowledgements

The UKPSSR is supported by the Medical Research Council, UK (G0800629 to W-FN, SJB and BG) and the British Sjogren’s Syndrome Association. This study also received infrastructural support from the National Institute of Health Research (NIHR) Newcastle Biomedical Research Centre at Newcastle Hospitals Foundation Trust and Newcastle University.

Author information

Correspondence to Wan-Fai Ng.

Ethics declarations

Conflict of interest

Author Professor Simon Bowman has provided consultancy services in the area of Sjögren’s syndrome for the following companies: Celgene, Eli Lilly, Glenmark, GSK, Medimmune, Novartis, Ono, Pfizer, Takeda, UCB. Author Emmanuella Young Traianos declares that she has no conflict of interest. Author Dr. James Locke declares that he has no conflict of interest. Author Dr. Dennis Lendrem declares that he has no conflict of interest. Author Ben Hargreaves declares that he has no conflict of interest. Author Victoria Macrae declares that she has no conflict of interest. Author Dr. Jessica Rachael Tarn declares that she has no conflict of interest. Author Professor Wan-Fai Ng declares that he has no conflict of interest.

Ethical approval

Research ethics approval was granted by the UK North-West Research Ethics Committee. All procedures involving human participants in this study were performed in accordance with the Newcastle University’s guidelines on the use of humans in research which are based on those established by the HRA’s Research Ethics Service, the 1964 Declaration of Helsinki and its later amendments, and the Human Rights Act (1998).

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Informed consent was obtained from all individual participants included in the study.

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Traianos, E.Y., Locke, J., Lendrem, D. et al. Serum CXCL13 levels are associated with lymphoma risk and lymphoma occurrence in primary Sjögren’s syndrome. Rheumatol Int (2020). https://doi.org/10.1007/s00296-020-04524-5

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Keywords

  • CXCL13
  • Germinal centres
  • non-Hodgkin lymphoma
  • Primary Sjögren’s syndrome