Clinical Research Papers:

Predictable biomarkers of developing lymphoma in patients with Sjögren syndrome: a nationwide population-based cohort study

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Oncotarget. 2017; 8:50098-50108. https://doi.org/10.18632/oncotarget.15100

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Yu-Hsiang Chiu, Chi-Hsiang Chung, Kuen-Tze Lin, Chin-Sheng Lin, Jia-Hong Chen, Hsiang-Cheng Chen, Ren-Yeong Huang, Chi-Tsung Wu, Feng-Cheng Liu and Wu-Chien Chien _


Yu-Hsiang Chiu1, Chi-Hsiang Chung2, Kuen-Tze Lin3, Chin-Sheng Lin4, Jia-Hong Chen5, Hsiang-Cheng Chen1, Ren-Yeong Huang6, Chi-Tsung Wu7, Feng-Cheng Liu1 and Wu-Chien Chien2,8

1 Department of Internal Medicine, Division of Rheumatology/Immunology/Allergies, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan

2 School of Public Health, National Defense Medical Center, Taipei, Taiwan

3 Department of Radiation Oncology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan

4 Department of Internal Medicine, Division of Cardiology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan

5 Department of Internal Medicine, Division of Hematology/Oncology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan

6 Department of Periodontology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan

7 Department of Oral and Maxillofacial Surgery, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan

8 Department of Medical Research, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan

Correspondence to:

Wu-Chien Chien, email:

Feng-Cheng Liu, email:

Keywords: Sjögren syndrome, non-Hodgkin’s lymphoma, diffuse large B-cell lymphoma, immunosuppressive agents, lip biopsy

Received: August 04, 2016 Accepted: January 23, 2017 Published: February 04, 2017


Sjögren syndrome (SS) is commonly known to be correlated with lymphoma. This study included 16,396 individuals in the SS cohort and 65,584 individuals in the non-SS cohort, all of whom were enrolled in the Taiwan National Health Insurance database between 2000 and 2010. We evaluated the risk factors of non-Hodgkin’s lymphoma (NHL) in the primary SS cohort by applying a Cox multivariable proportional-hazards model. We increased the correlation of patients with SS and NHL, with an adjusted HR of 4.314 (95% CI 2.784 – 6.685). Of the 16,396 SS patients, 66 individuals had salivary gland slices without NHL development, while the other 16,330 individuals that did not have salivary gland slices revealed 30 individuals that developed NHL. Of the 16,396 SS patients, 128 individuals underwent immunomodulator agent therapy (including hydroxychloroquine, azathioprine, cyclosporine, methotrexate, and rituximab) without NHL development. None of the 30 individuals that developed NHL from SS received immunomodulator agents. We found that patients with SS were at an increased risk of developing NHL, with the most common NHL subgroup being diffused large B-cell lymphoma. SS patients who were candidates for salivary gland slices or immunomodulator agents were associated with a lower risk of developing lymphoma over time. We recommend that patients at a higher risk upon diagnosis of SS receive close follow-up and aggressive treatment.


Sjögren syndrome (SS) is an autoimmune disease that involves the exocrine glands and epithelia inflammation with lymphocyte infiltration, particularly in salivary and lacrimal glands, which results in inflammatory cytokines, while the activation of B lymphocytes results in autoantibody production. The most common cause of mortality in SS patients is cardiovascular disease, followed by malignancies and infections [1]. Hematologic malignancy is the most fatal complication experienced by SS patients, with an eight-fold risk of mortality when compared to normal population [2, 3]. Non-Hodgkin’s lymphoma (NHL) occurs in approximately 2.7 - 9.8% of SS patients, with a greater risk than the normal population (Table 1); such patients are also at an increased risk for other autoimmune diseases [4-24]. The B-cell type was mostly seen as mucosa-associated lymphoid tissue lymphoma, nodal marginal zone lymphoma, and diffuse large B-cell lymphoma [5, 9, 21, 25].

Currently, both clinical and laboratory features have been associated with increasing risks of developing NHL from SS; such features include major salivary gland enlargement, splenomegaly, lymphadenopathy, purpura, low complement level, especially C4, monoclonal gammopathy, cryoglobulinemia, neutropenia, and lymphopenia upon diagnosis of SS [2, 16, 21, 25-31]. In 2002, the American-European consensus group (AECG) revised the classification criteria of SS [32]. The six criteria groups are classified as two groups of clinical symptoms (ocular and oral symptoms) and four groups of objective findings (ocular signs, histopathology, salivary gland objective diagnostic tests, and autoantibodies). A diagnosis is made when four (must include histopathology or serology) of the six criteria or three of the four objective findings are met. Of these criteria, histopathology from lip biopsies of minor salivary glands was the most invasive procedure. Seronegative patients, those with negative results on anti-Ro/SSA or anti-La/SSB antibodies, or those with clinical symptoms and signs are candidates for lip biopsy to meet the criteria. SS is associated with B-cell dysfunction, with a higher incidence and higher serum levels of the B-cell activating factor [33, 34].

The purposes of this study are to provide an overview of the risk of NHL and its subtypes in SS patients and to recognize the related risk factors and correlations with other preexisting comorbidities, such as diabetes, hypertension, depression, stroke, dementia, or chronic kidney disease. We hypothesized that reduced B lymphocyte activity, including seronegative SS (negative on anti-Ro and anti-La), and patients that received immunomodulator agents, could reduce the subsequent risk of lymphoma. We also attempted to identify whether the risk was reduced in SS patients by studying candidates from lip biopsy who were found to be seronegative upon their diagnosis of SS.

Table 1: Previous study of Sjögren's syndrome related to lymphoma.



Study design

The relation of lymphoma to Sjögren’s syndrome

Reference (First Author)



Cohort of 38 patients with Sjögren's syndrome

10.5 % (4/38) developed lymphoma

Talal, N.



Cohort of 136 women with sicca syndrome

5.1 % (7/136) developed non-Hodgkin’s lymphoma

Kassan, S. S.



Cohort of 120 patients with primary Sjögren's syndrome

6.7 % (8/120) developed non-Hodgkin’s lymphoma

Pavlidis, N. A.



Cohort of 103 patients with primary Sjögren's syndrome from 1986 to 1991

6.8 % (7/103) developed lymphoma

Tzioufas, A. G.



Cohort of 676 patients with primary Sjögren's syndrome, 709 with secondary Sjögren's syndrome

The standardized incidence ratio of non-Hodgkin's lymphoma was 8.7 for primary Sjögren's syndrome and 4.5 for secondary Sjögren's syndrome.

Kauppi, M.



Sjögren's syndrome detected among 33 newly diagnosed untreated patients with non-Hodgkin's lymphoma

6 % (2/33) detected Sjögren's syndrome, both were male with lung and stomach non-Hodgkin's lymphoma

Andonopoulos, A. P.



Cohort of 331 patients with Sjögren's syndrome

2.7 % (9/331) developed non-Hodgkin’s lymphoma

Valesini, G.



Cohort of 100 patients with primary Sjögren's syndrome

3 % (3/100) developed non-Hodgkin’s lymphoma, 2 were parotid, and 1 was retroperitoneal

Davidson, B. K.



Cohort of 261 patients with primary Sjögren's syndrome

3.4 % (9/261) developed lymphoma

Skopouli, F. N.



Cohort of 111 patients with primary Sjögren's syndrome diagnosed in 1977-1992

2.7 % (3/111) developed non-Hodgkin’s lymphoma, with standardized incidence ratio 13

Pertovaara, M.



Meta-analysis 5 cohort

2.3 % (30/1323) developed lymphoma, the standardized incidence rate was 18.8

Zintzaras, E.



Retrospective evaluation 112 patients with primary Sjögren's syndrome

9.8 % (11/112) developed lymphoma (either before or after development of pSS),

Lazarus, M. N.



Population-based case-control study, 3055 NHL patients and 3187 matched control

Primary Sjögren syndrome had an odds ratio of 6.1 in non-Hodgkin’s lymphoma, subtype mentioned in article

Smedby, K. E.



Pooled analysis of individual data from 8 case-control studies that reported history of Sjögren's syndrome in patients with non-Hodgkin’s lymphoma,

0.6 % (52/8178) of patients with non-Hodgkin’s lymphoma had a history of Sjögren's syndrome, 0.3 % (23/8176) had primary Sjögren's syndrome

Ekstrom Smedby, K.



Cohort of 536 patients with primary Sjögren's syndrome from 1981 to 2008

7.4 % (40/536) developed lymphoma, subtype mentioned in article

Baimpa, E.



Cohort of 445 patients with primary Sjögren's syndrome from 1985 to 2009

4 % (18/445) developed lymphoma

Martel, C.



Cohort of 244 patients with primary Sjögren's syndrome

4.5 % (11/244) developed non-Hodgkin’s lymphoma, subtype mentioned in article

Solans-Laque, R.



Cohort of 175 patients with primary Sjogren's syndrome and with a median onset of 7 years following

4% (7/175) developed non-Hodgkin’s lymphoma

Theander, E.



Cohort of 584 patients with Sjogren's syndrome from 1980 to 2010

The prevalence was 3.6%

(6/163) in 1995, 4.3% (17/399) in 2000, and 7.5% (40/536) in 2008, subtype mentioned in article

Voulgarelis, M.



Cohort of 7852 patients with primary Sjogren's syndrome from 2000 to 2008

Standardized incidence ratio of 7.08 in female patients compared with the general population

Weng, M. Y.



Retrospective evaluation 1115 patients with primary Sjogren's syndrome

4.5 % (50/1115) developed non-Hodgkin’s lymphoma

Baldini, C.

materials and Methods

Data source

The National Health Insurance (NHI) program has been the single payer providing comprehensive medical care for all people in Taiwan since March 1, 1995. As of June 2015, 23,644,464 people were enrolled in NHI through 817,902 insurance registration organizations [35]. The National Health Insurance Research Database (NHIRD) consists of the claims records from Taiwan’s universal NHI program, which was established by the National Health Research Institute (NHRI). All personal identification information is encrypted prior to the data being released for research purposes in order to protect patient privacy. The NHIRD has been described in detail in previous studies [36, 37].

In this study, we used a NHIRD subset that contained healthcare data, including files from the Longitudinal Health Insurance Database (LHID) with disease histories of outpatients. Between 1997 and 2010, 980,157 people were insured and were then used as the database pool. The diagnoses and procedures recorded in the NHIRD are coded according to the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM). This study was approved by the Institutional Review Board of Tri-Service General Hospital and National Defense Medical Center in Taiwan (B-104-21).

Sampled patients

We conducted a population-based retrospective cohort study to determine the relationship between SS and the risk of developing NHL. Patients newly diagnosed with primary SS (ICD-9-CM code 710.2) between 2000 and 2010 were identified in the LHID (Figure 1). The SS diagnosis was based on ICD-9-CM codes, which were judged and determined by related specialists and physicians according to the standard clinical/laboratory/pathology criteria of the American-European Consensus Group [32]. The index date represents the date on which a patient was first diagnosed with SS. We excluded any patients with a history of NHL (ICD-9-CM code 200.0-200.7, 202.0-202.2, 202.7) prior to follow-up, had incomplete information with regard to gender, or were younger than 20 years old. For the non-SS cohort, we randomly chose patients without any history of SS from the LHID and frequency-matched them with the SS patients using a 4:1 ratio based on gender, age within an interval of five years, and the year of the index date. The exclusion criteria for the non-SS cohort were the same as the SS cohort.

The flowchart of study sample selection from Taiwan’s National Health Insurance Research Database.

Figure 1: The flowchart of study sample selection from Taiwan’s National Health Insurance Research Database.

Outcome, comorbidities, and medications

The patients were followed-up from the index date until a diagnosis of NHL, withdrawal from the NHI program, or December 31, 2010. Preexisting comorbidities, such as diabetes (ICD-9-CM 250), hypertension (ICD-9-CM 401- 405), depression (ICD-9-CM 296.2, 296.3, 296.82, 300.4, and 311), stroke (ICD-9-CM 430-438), dementia (ICD-9-CM 290, 294.1, 331.0), and chronic kidney disease (ICD-9-CM 585), were also analyzed. Furthermore, we performed analysis on the subgroup that had salivary gland slices (NHI code 92021B) or were not in the SS group. Patients in the SS group that received immunomodulator agents (including hydroxychloroquine (NHI code AC42899100, AB50142100, AC48605100, AC49303100, AC55894100, AC55925100, AC58809100, BC22376100), azathioprine (NHI code BC09147100, AC45781100, AC49283100, BC22229100, BC25754100), cyclosporine (NHI code BC13027148, BC21188100, BC21189100, AC50140100, BC13049209, C242064CR), methotrexate (NHI code BC22726100, A025520100, BC16194100, BC18876221, BC18876229, BC18876248, BC18878221, BC21696212, BC21713229, BC22132229), and rituximab (NHI code KC00928248, KC00928229)) or not before being diagnosed with NHL were also analyzed.

Statistical analysis

Using the Chi-square/Fisher exact test, we compared the distributions of categorical characteristics and baseline comorbidities between the SS group and non-SS control group. Differences in continuous variables between the cohorts were tested using the Student t-test. The cumulative incidence of NHL and the subtypes between the SS and non-SS cohorts was assessed using the Kaplan-Meier method, and the log-rank test was applied to compare the two cohorts. The incidence densities (per 105 person-years) of NHL were calculated in both cohorts, and the hazard ratios (HR) categorized by gender, age, and such comorbidities as diabetes, hypertension, depression, stroke, dementia, and chronic kidney disease were calculated using Cox proportional-hazards regression models. All analyses were conducted using SAS Version 9.3 (SAS Institute Inc., Cary, NC), with the significance level set at 0.05 in two-tailed tests.


Patient demographics

The SS group consisted of 16,396 individuals, and the non-SS group consisted of 65,584 individuals. The age distributions of the cohorts were 50.19±16.44 and 49.82±16.62 (Table 2), respectively. Women constituted 73.78% of the patients with SS. Diabetes, hypertension, and stroke were more prevalent in the non-SS group. The comorbidities, including diabetes, hypertension, depression, stroke, dementia, and chronic kidney disease, as well as age and gender, are all adjusted in Cox regression (Table 3). The Kaplan-Meier for cumulative incidence of NHL was 0.04% higher in the SS cohort than in the non-SS cohort with P = 0.001 (Figure 2). The mean durations until the development of NHL in the SS and non-SS cohorts were 4.54 (SD = 3.99, 0.01 to 10.97) and 6.27 (SD = 2.88, 0.27 to 10.96) years, respectively.

Table 2: Characteristics of patients with and without Sjögren’s syndrome.

Sjögren's syndrome

With (Case)

Without (Control)
















Age (years) (mean±SD)



































Chronic kidney disease






Kaplan-Meier for cumulative incidence of non-Hodgkin&#x2019;s lymphoma among patients aged 20 and over stratified by Sj&ouml;gren&#x2019;s syndrome using the log-rank test.

Figure 2: Kaplan-Meier for cumulative incidence of non-Hodgkin’s lymphoma among patients aged 20 and over stratified by Sjögren’s syndrome using the log-rank test.

Risk estimation

In this study, age and SS are the two independent risk factors of NHL. The risk of NHL increases with an adjusted HR of 1.022 (95% CI 1.010 - 1.033) by year of age. Among the SS cohort and the non-SS cohort, 30 and 92 patients, respectively, developed NHL, with the incidence rates being 43.42 per 100,000 Person-years and 13.54 per 100,000 Person-years, resulting in an adjusted HR of 4.314 (95% CI 2.784 - 6.685). The incidence rates of B-cell NHL (ICD-9-CM 200.0 - 200.5, 200.7, 202.0, 202.2) in the SS and non-SS groups were 40.53 and 11.62 per 100,000 Person-years, respectively, with an adjusted HR of 9.87 (95% CI 3.764 - 18.757). The incidence rates of T-cell NHL (ICD-9-CM 200.6, 202.1, 202.2, 202.7) in the SS and non-SS groups were 2.89 and 1.91 per 100,000 Person-years, respectively, with an adjusted HR of 3.675 (95% CI 1.045 - 5.724). The highest risk was diffused large B-cell lymphoma, with the incidence rates in the SS and non-SS groups being 13.03 and 0.29 per 100,000 Person-years, respectively, with an adjusted HR of 45.670 (95% CI 2.034 - 110.018) (Table 4).

Table 3: Multivariable Analysis for non-Hodgkin’s lymphoma at the end of follow-up by using Cox regression.


Crude HR

95% CI


Adjusted HR

95% CI


Sjögren's syndrome


2.749- 6.625



2.784 -6.685


Gender (Male)


0.731 -1.626



0.697 -1.556


Age (years)


1.005 -1.027



1.010 -1.033




0.470 -2.162



0.570 -2.771




0.223 -1.026



0.186 -1.009




0.046 -2.338



0.044 -2.276


Abbreviations:  HR= hazard ratio, CI = confidence interval, Adjusted HR: Adjusted variables including Sjögren’s syndrome, gender, age, diabetes, hypertension, depression, stroke, dementia, and chronic kidney disease.

Sensitivity analysis

In the SS group of 16,396 individuals, 66 individuals had salivary gland slices without NHL development; meanwhile, of the 16,330 individuals that did not have salivary gland slices, 30 individuals developed NHL. Of the SS group, 128 individuals received immunomodulator agent therapy without NHL development. All 30 individuals that developed NHL were in the group of SS patients that had not received immunomodulator agents.

Finally, we conducted sensitivity analyses to assess the relationships between SS and the risk of developing NHL at different follow-up durations (Table 5). Our findings indicate that, compared to the control cohort, the SS cohort was correlated with a significantly higher risk of developing NHL as the follow-up duration increased. The adjusted HRs were 3.456 (95% CI = 2.189 - 4.765) for follow-up periods less than one year, 4.325 (95% CI = 2.886 - 6.097) for follow-up periods between one and two years, and 5.979 (95% CI = 2.912 - 8.774) for follow-up periods of more than two years.

Table 4: Factors of non-Hodgkin’s lymphoma at the end of the follow-up period stratified by Cox regression.

Sjögren's syndrome

Non- Sjögren's syndrome


Adjusted HR (95% CI)


Non-Hodgkin’s lymphoma















4.314 (2.784 – 6.865)


B-cell type








9.870 (3.764 – 18.757)


Diffused large B-cell lymphoma








45.670 (2.034 – 110.018)


T-cell type








3.675 (1.045 – 5.724)


Abbreviations:  PYs = Person-years; Ratio = Rate in cases ÷ Rate in controls; Adjusted HR = Adjusted Hazard ratio: Adjusted for all the variables of gender, age, and comorbidities, including diabetes, hypertension, depression, stroke, dementia, and chronic kidney disease; CI = confidence interval.

Table 5: Durations from diagnosis of Sjögren's syndrome to development of non-Hodgkin’s lymphoma.

Sjögren's syndrome

Non- Sjögren's syndrome

Adjusted HR



Follow-up durations



Rate (per 105 PYs)



Rate (per 105 PYs)









2.784 - 6.685










2.189 - 4.765


≧1, <2








2.886 - 6.097










2.912 - 8.774


Abbreviations:  PYs = Person-years; Ratio = Rate in cases ÷ Rate in controls; Adjusted HR = Adjusted Hazard ratio: Adjusted for all the variables of gender, age, and comorbidities, including diabetes, hypertension, depression, stroke, dementia, and chronic kidney disease; CI = confidence interval.


In this study, we investigated the occurrence of NHL among SS patients in Taiwan in a nationwide population database with complete follow-up assessment. Age and SS are independent risk factors of NHL. We found NHL risk to increase 2.2% per year of age. We found SS to be correlated with NHL, with a 4.3-fold increased risk of NHL than the normal population during the follow-up period. NHL subgroup analysis revealed a higher incidence of B-cell NHL than T-cell NHL, with the risk of both being significantly increased in the SS than non-SS groups. NHL subgroup analysis revealed that patients with diffused large B-cell lymphoma have a higher risk (HR = 45.67; 95% CI, 2.034 - 110.018) than the normal population. For the NHIRD collected through ICD-9-CM, the diagnostic term differed from the current World Health Organization (WHO) classification of hematopoietic and lymphoid tumors [38]. We summarized the classification into B-cell type (ICD-9-CM 200.0 - 200.5, 200.7, 202.0, 202.2) and T-cell type (ICD-9-CM 200.6, 202.1, 202.2, 202.7) and then found that diffused large B-cell lymphoma had a higher risk in the SS group compared to non-SS patients with adjusted HR 45.67. These findings agree with previous cohort studies, with diffuse large B-cell lymphoma, mucosa-associated lymphoid tissue lymphoma, and nodal marginal zone lymphoma being the most prevalent [5, 7, 9, 15, 21, 25]. These results may be associated with increased B-cell activity in SS patients.

The multi-step process between SS and lymphoma is still unclear. SS is considered to be strongly associated with B-cell dysregulation [39]. The B-cell is differentiated from hematopoietic stem cells in the bone marrow and then migrates through the blood to the secondary lymphoid organs for maturation. During the differentiation process, the immature B cells undergo positive selection and negative selection, in which B-cell receptors (BCR) have an important role [40]. Such transcription factors as Ikaros, PU.1, E2A, early B cell factor, and Pax5 all promote B cell commitment and differentiation [41]. In general, autoreactive B cells go through clonal deletion, receptor editing, anergy, or ignorance during negative selection [42]. The DNA binding transcription factor, such as the nuclear factor kappa binding molecule (NFκB), promotes the expression of different gene sets and induces immunogenic proliferation and antibody production, while the nuclear factor of activated T cells (NFATc) are instrumental to inhibiting genes [42]. Most mature B cells respond to T-cell dependent foreign antigens on follicular dendritic cells at lymph nodes and the spleen and then differentiate into plasma cells or enter the germinal center (GC) [43]. Meanwhile, CD-5 positive B cells, Marginal zone B cells, and GC B cells are differentiated into plasma cells through adaptive immunity and contribute to the pool of circulating natural antibodies [44].

The B-cell activating factor (BAFF), also called the B-lymphocyte stimulator (BLyS), is a part of the TNF-family and promotes the maturation of transitional B cells into the B cell [45]. BAFF and BAFF receptor (BAFF-R) signaling is also required for survival in marginal zones and follicular B cells [46]. One animal study using mice proved that the autoantigen binding B cells increased dependence on BAFF for survival [47]. In humans, BAFF-R is expressed on almost all B cells, except for bone marrow plasma cells and a small subset of resting T cells [48, 49]. BAFF-R interacts with BCR in the regulation of deletion, anergy, and the survival of B cells through PI3K signaling pathways, NFκB pathways, modulating the transcription factor Pax5, and inhibiting additively apoptotic pathways [48, 50-52]. These interactions can play an important role in lymphoma progression.

Seronegative SS patients have less hyperactive B cells, including hypergammaglobulinemia, and less positivity on antinuclear antibodies (ANA) and rheumatoid factor (RF) [53]. Regarding the subgroup analysis of SS patients, we found that candidates that underwent lip biopsies are mostly seronegative SS, thus fulfilling the 2002 AECG criteria. Whether the immunomodulator is related to the risk of lymphoma remains a controversial issue [54, 55]. In the analysis of the British Society for Rheumatology Biologics Register - Rheumatoid Arthritis between 2001-2009, an increasing risk of lymphoma was not found in patients with rheumatoid arthritis who received anti-tumor necrosis factor therapy [56].

Although the subset is small, no SS patients that had salivary gland slices or immunomodulator developed NHL during the follow-up period in our cohort study for sensitivity analysis. We can hypothesize that SS patients who require salivary gland slices or received immunomodulator agents are correlated with a lower risk of lymphoma than other SS patients. This topic requires further investigation in the future.

Our study enrolled a large sample size from the nationwide population-based cohort, which enhances the statistical power of this study. The nationwide database used has a very high coverage rate, so almost all the patients’ follow-up data are available. The population-based data represent Taiwan’s general population.

As a retrospective cohort study, this study has lower statistical quality. Bias from unknown confounders may have affected our results, and a well-designed randomized prospective control study is still necessary to help establish a causal relationship. The current investigation was limited since NHIRD only provided age, gender, time of event, diagnosis, and management. The NHIRD does not provide such information as patients’ subjective or objective history, physical examinations, primary lab data, or imaging. Since the NHIRD was collected through ICD-9-CM, differences between the clinically used WHO classification and ICD-9-CM may have resulted in bias. We summarized the classification into B cell NHL (ICD-9-CM 200.0 - 200.5, 200.7, 202.0, 202.2) and T cell NHL (ICD-9-CM 200.6, 202.1, 202.2, 202.7). Lymphoma was found from clinical symptoms of mass lesion and the pathology from biopsy. A malignancy screen was not routinely performed on all patients. If the patient was not aware of the symptoms or the patient did not seek medical assistance from a registered NHI clinic, the diagnosis of malignancy, including lymphoma, would be underestimated. NHL seems to occur in a very small number of patients (30/16396 cases and 92/65,584 controls). While the HR of 4.314 was found to be statistically significant, the clinical relevance at such a low incidence needs to be carefully interpreted. We used salivary gland slices to represent that seronegative patients may have a selection bias. The population of SS patients may also have been underestimated since the initial symptoms may not have been serious enough for the patient to consult a doctor. AECG updated its criteria in 2012, at which point it reduced items [57]. Two out of three criteria were required to be considered serology positive (anti-Ro, anti-La, or a combination of rheumatoid factor and ANA ≥1:320); Ocular staining score ≥ 3; and labial salivary gland biopsies with lymphocytic focus score ≥ 1 focus/4mm2 [57]. These updated criteria better highlight the importance of biopsy and serology.


Sjögren syndrome increases the risk of NHL, particularly in B-cell NHL especially diffused large B-cell lymphoma. The anti-Ro/La negative Sjögren syndrome patients that had salivary gland slices were found to have less risk of developing lymphoma. The issue of prescribing immunomodulator agent to patients with SS who do not have extraoral and extraglandular manifestations is controversial. The clinical practice guidelines from Sjögren’s Syndrome Foundation suggested that hydroxychloroquine is the first line therapy for patients with musculoskeletal pain [58]. Aggressively managing Sjögren syndrome disease activity may potentially decrease the risk of lymphoma over time. We recommend that patients at a higher risk upon diagnosis of SS have close follow-up and aggressive treatment.


This work was supported by National Defense Medical Center and Tri-Service General Hospital (TSGH-C106-002 and TSGH-C106-152) and the Ministry of Science and Technology (MOST105-2314-B-016-052). The authors thank the Cancer Registry Group of Tri-Service General Hospital for the clinical data support. FC Liu and WC Chien contributed equally to this work.


The authors declare no conflict of interest.


All authors had equal access to the data and a similar role in writing this manuscript.


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