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Risk of Lymphoma and Solid Cancer among Patients with Rheumatoid Arthritis in a Primary Care Setting

  • Christen Lykkegaard Andersen ,

    christenla@gmail.com

    Affiliations Department of Hematology, Roskilde University Hospital, Roskilde, Denmark, The Research Unit for General Practice and Section of General Practice, Department of Public Health, University of Copenhagen, Copenhagen, Denmark

  • Hanne Lindegaard,

    Affiliation Department of Rheumatology, Odense University Hospital, Odense, Denmark

  • Hanne Vestergaard,

    Affiliation Department of Hematology, Odense University Hospital, Odense, Denmark

  • Volkert Dirk Siersma,

    Affiliation The Research Unit for General Practice and Section of General Practice, Department of Public Health, University of Copenhagen, Copenhagen, Denmark

  • Hans Carl Hasselbalch,

    Affiliation Department of Hematology, Roskilde University Hospital, Roskilde, Denmark

  • Niels de Fine Olivarius,

    Affiliation The Research Unit for General Practice and Section of General Practice, Department of Public Health, University of Copenhagen, Copenhagen, Denmark

  • Ole Weis Bjerrum,

    Affiliation Department of Hematology, Copenhagen University Hospital, Copenhagen, Denmark

  • Peter Junker

    Affiliation Department of Rheumatology, Odense University Hospital, Odense, Denmark

Risk of Lymphoma and Solid Cancer among Patients with Rheumatoid Arthritis in a Primary Care Setting

  • Christen Lykkegaard Andersen, 
  • Hanne Lindegaard, 
  • Hanne Vestergaard, 
  • Volkert Dirk Siersma, 
  • Hans Carl Hasselbalch, 
  • Niels de Fine Olivarius, 
  • Ole Weis Bjerrum, 
  • Peter Junker
PLOS
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Abstract

Background

Several studies have demonstrated an association between rheumatoid arthritis (RA) and lymphoproliferative malignancies, but pathogenic mechanisms remain unclear. We investigated 1) the risk of lymphoproliferative malignancies and solid tumors in adults with RA identified in primary care and 2) the possible mediating role of blood eosinophilia in the clonal evolution of cancer in these patients.

Methods

From the Copenhagen Primary Care Differential Count (CopDiff) Database, we identified 356,196 individuals with at least one differential cell count (DIFF) encompassing the eosinophil count between 2000–2007. From these, one DIFF was randomly chosen (the index DIFF). By linking to the Danish National Patient Register, we categorized the selected individuals according to known longstanding (≥3 years) or recent onset (<3 years) RA prior to the index DIFF. In addition, the cohort was stratified according to management in primary or secondary care. From the Danish Cancer Registry we ascertained malignancies within four years following the index DIFF. Using multivariable logistic regression, odds ratios (OR) were calculated and adjusted for sex, age, year, month, eosinophilia, comorbid conditions and C-reactive protein (CRP).

Results

921 patients had recent onset RA and 2,578 had longer disease duration. Seventy three percent of RA patients were managed in primary care. After adjustment for sex, age, year, and month, neither recent onset nor long-standing RA was associated with incident lymphoproliferative malignancies or solid cancers. These risk estimates did not change when eosinophilia, CRP, and comorbidities were included in the models.

Conclusions

In this large cohort of patients with RA of short or long duration recruited from a primary care resource, RA was not associated with an increased risk of lymphoproliferative or solid cancers during 4 years of follow-up, when the models were adjusted for confounders. Blood eosinophilia could not be identified as a mediator of cancer development in the present setting.

Introduction

The association between rheumatoid arthritis (RA) and cancer has been investigated in several mainly hospital-based studies. These have indicated that the overall cancer occurrence in patients with RA is only marginally higher than in healthy individuals, while elevated risk figures have been reported for several specific cancers including leukemia [1], non-melanoma skin cancers [2], and lung cancer [3], [4]. In particular, an excess risk ranging from 50% to 200% of lymphoproliferative malignancies, especially diffuse large B-cell lymphoma, has been consistently reported in previous studies on RA and cancer [5][7]. The relative risks of cancer have been reported to be highest within the first year of follow-up although increased risk figures have been observed after up to 20 years of follow-up [8], [9].

Two major pathways have been suggested to account for the association between RA and malignancy: extrinsic pro-oncogenic effects of disease-modifying antirheumatic drugs (DMARDs) [10], [11]; and intrinsic pro-oncogenic effects related to disease activity [6][8], [12][14]. Recent studies indicate that RA patients with active disease are at increased risk of malignant lymphomas, compared with RA patients with low disease activity or remission [6][8], [12][14]. Thus, the pathways by which active RA impose an increased risk of lymphoma are poorly understood. In this context, the eosinophilic granulocyte is a pertinent candidate. Eosinophilia (≥0.5×109 eosinophils/l peripheral blood) may be induced by infections and inflammation, including inflammatory processes accompanying solid and hematological malignancies [15][17]. Activation of eosinophils may lead to organ damage, irrespective of the cause of the eosinophilia [16], [18], [19]. It has been reported that eosinophilia is a rather common finding among patients in rheumatologic outpatient clinics, with an estimated prevalence of 7.7% [20]. Besides, eosinophilia has been linked to prognosis and severity of extra-articular manifestations in RA [21]. Taken together, these observations support the view that eosinophilia may be associated with cancer risk in RA.

The aim of the present study is twofold: 1) to investigate the risk of lymphoproliferative malignancies and solid tumors in adult RA identified in a primary care setting, and 2) to investigate the possible mediating role of blood eosinophilia in the clonal evolution of cancer in these patients.

Methods

Ethics Statement

The study was approved by The Danish Data Protection Agency (journal no: 2013-54-0507), and did not need approval by an institutional review board or ethical review board according to Danish legislation. Patient information was anonymized and de-identified prior to analysis and no clinical records were used. Patient consent is not mandatory for this type of study in Denmark.

Patients

The Copenhagen General Practitioners' Laboratory (CGPL) (renamed the Elective Laboratory of the Capital Region from 01.01.2013) provides laboratory services to all general practitioners (GPs) in the Copenhagen area, covering approximately 1.2 million inhabitants. CGPL has International Organization for Standardization (ISO) accreditation and has stored all laboratory data since 01.05.2000. The Copenhagen Primary Care Differential Count (CopDiff) Database contains results from all differential cell counts (DIFF) requested by GPs in Copenhagen from 01.05.2000 to 25.01.2010. From each of the 359,950 unique, adult individuals (aged 18 to 80 years) with at least one DIFF in the period 01.01.2001 to 31.12.2007, one DIFF (i.e. the index DIFF) encompassing the eosinophil count was chosen by computer-generated random numbers (n = 356,196), see (Figure 1). The selected individuals were categorized according to prevalent blood eosinophilia (Figure 2). Where available, the level of C-reactive-protein (CRP), categorized as “increased” (≥10 mg/L) vs. “normal” (<10 mg/L), was also obtained (n = 229,511). Furthermore, we recorded whether another DIFF had been done within 6 months before the request (n = 32,475) and whether eosinophilia was also present in this DIFF. We found that our strategy of randomly choosing one DIFF per individual to assess incidences of the specified outcomes was feasible for two reasons. First, it meant that we did not to have to control for individuals that entered the cohort multiple times at different points in time. Second, we sought to minimize surveillance bias which seemed more likely to occur if, for example, we had opted for “the first DIFF” or “the DIFF closest to the outcome of interest” [22]. The period we chose for index DIFF selection was from 01.01.2001, rather than from the beginning of the CopDiff database (01.05.2000), because we wanted to assess whether a possible eosinophilia was longstanding (within 6 months before the index DIFF). Also, since all individuals were to have a fixed 4-year follow up after the index DIFF, we excluded DIFFs after 31.12.2007 (Figure 2).

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Figure 1. Flowchart for the study population.

CGPL, Copenhagen General Practitioners' Laboratory; CopDiff, Copenhagen Primary Care Differential Count Database; CRS, The Danish Civil Registration System; DIFF, differential cell count; GP, general practitioner.

https://doi.org/10.1371/journal.pone.0099388.g001

In November 2013, the CopDiff database was linked to The Danish Cancer Registry (DCR), which contains data on all malignancies in Denmark since 1942 and to which reporting is mandatory [23]; and to The Danish National Patient Register (NPR), which contains information on all contacts with hospitals in Denmark with discharge diagnoses and surgical procedures [24]. The NPR also includes outpatient clinic contacts. To adjust for possible confounding by comorbid conditions, we computed Charlson's Comorbidity Index (CCI) [25] from hospital contacts recorded in the NPR for three years before the index DIFF. Information on occurrence of RA prior to the index DIFF was assessed from hospital contacts in the NPR and based on International Classification of Disease, ICD-8 codes: 712.39 (used from 1977–1993) and ICD-10 codes: M05, M06 (used from 1994-present). RA was categorized as recent (<3 years) or longstanding (≥3 years) according to date of first occurrence (since 1977) prior to the index DIFF. Previously, Pedersen et al reported that RA diagnoses in the NPR based on recordings from hospitals can be utilized for epidemiological purposes if inherent data limitations are considered [26]. Patients were defined as having “primary care managed RA” if they had been referred back to primary care at their most recent contact with a rheumatology department prior to the index DIFF.

Outcomes were defined as the incidences of the following diagnoses recorded in DCR over the four-year period following the index DIFF: 1) lymphoproliferative malignancies defined as ICD-10 codes: C81, C82–C85, and C91; and ICD for Oncology (ICD-O) morphological codes within the range: 9590/3/-9729/3/. Diffuse large B-cell lymphoma defined as ICD-10 code C83.3 and ICD-O morphological codes 96793, 96803, and 96843. Solid cancer defined as: buccal cavity and pharynx (C00-C14; C462), digestive organs (C15–C26), respiratory system including thoracic organs (C30–39; C450), bones, joints and articular cartilage (C40–C41), skin (C43–C44; C460), mesothelium and connective tissue (C451–C459; C461; C463; C467; C468; C469; C47–C49; B210), breast (C50), female genital organs (C51–C58), male genital organs (C60–C63), urinary tract (C64–C68; D090–D091; D301–D309; D411–D419), eye and central nervous system (C69–C72; C751–C753; D32–D33; D352–D354; D42–D43; D443–D445), and endocrine glands (C73–C74; C750; C754–C759).

Statistical analysis

In order to pursue our first aim of investigating the risk of lymphoproliferative malignancies and solid tumors in adults with identified RA, we used multivariable logistic regression to compute odds ratios (ORs) with 95% confidence intervals (CIs) for the four-year incidence of lymphoproliferative malignancies and solid cancers following the index DIFF. The ORs were reported without any adjustment, and again after adjusting for potential confounders (sex, age [quadratic], year, and month of DIFF sampling). Regarding our second aim, to investigate the possible mediating role of blood eosinophilia in the clonal evolution of cancer in RA patients, we used the same model with potential confounders, but adjusted for candidate mediators of disease (eosinophilia, competing comorbid conditions, and inflammation) in a stepwise fashion in order to analyze the impact of the mediators sequentially. An overview of the variables included in the analyses is seen in Figure 3. Individuals who had already been diagnosed with a cancer (recorded in the DCR since 1977) were excluded from risk analyses. To account for multiple statistical testing, P-values less than 0.0033 were regarded as significant, as this controls the false discovery rate at 5% using the Benjamini-Hochberg method [27]. All analyses and calculations were performed with SAS version 9.2 (SAS Institute Inc., Cary, NC, USA).

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Figure 3. Flowchart illustrating the background for analytical approaches.

https://doi.org/10.1371/journal.pone.0099388.g003

Results

The mean age (SD) of the entire study population was 48.3 years (16.7) with a female:male ratio of 1.38 (208,691/151,259); see (Table 1). Since 1977 and before the index DIFF, 1,167 patients (0.3%) had been diagnosed with a lymphoproliferative cancer and 22,541 (6.3%) had experienced a solid cancer. A total of 14.406 patients (4.0%) had eosinophilia.

Of 359,950 individuals, 3,499 (1.0%) had been diagnosed with RA according to the NPR. Of these, 921 were diagnosed during the three years prior to the index DIFF (recent onset), and 2,578 were diagnosed earlier than this (long-standing RA); see (Table 1). The mean age of patients with recent onset and longstanding RA was 56.9 and 60.2 years respectively, with a female:male ratio of 3.15 and 2.95. Seventy-three percent of RA patients were managed in primary care at the time of the index DIFF blood sampling. In the subsequent four-year period, fourteen RA patients developed lymphoproliferative cancer and a solid cancer was diagnosed in 241 RA patients (Table 1). The overall incidences of lymphoproliferative cancer and solid cancers over the four-year period following the index count were 61 and 1,078 per 100,000 person-years, respectively. Additional baseline subject characteristics are presented in Table 1.

In unadjusted analyses, patients with longstanding RA had an increased risk for lymphoproliferative cancer (OR [95% CI] = 1.92 [1.08–3.39]) and solid cancer (1.92 [1.65–2.22]), while the corresponding risk estimates were close to unity among patients with recent onset RA (Table 2). When adjusting for demographic characteristics, neutral ORs for lymphoproliferative or solid cancer were also found for patients with longstanding RA (1.31 [0.74–2.33] and 1.10 [0.94–1.28], respectively). Adjustment for eosinophilia, CRP and comorbidities did not alter any of the risk estimates. When performing subgroup analysis for diffuse large B-cell lymphoma, and including confounders and mediators in the models, we did not observe any association with RA (ORs of 1.41 [0.44–4.45] and 1.88 [0.25–13.96] for longstanding and recent onset RA, respectively). These estimates did not change when excluding confounders and mediators: ORs were 2.17 (0.69-6.81) and 2.03 (0.28–14.49) for longstanding and recent onset RA, respectively.

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Table 2. The association between longstanding or recent onset rheumatoid arthritis and 4-year incidence of cancer.

https://doi.org/10.1371/journal.pone.0099388.t002

Discussion

In this study based on patients in the CopDiff database, RA of recent or longstanding duration was not associated with an increased risk of lymphoproliferative malignancies or solid cancer within a 4-year time frame. Adjusting for the anticipated mediators, e.g. eosinophilia, inflammation, and comorbidities yielded similar results. While absence of an association with most solid cancers accords with previous results, the majority of earlier studies reported an excess risk of lymphoproliferative malignancies among RA patients [7][9], [12], [28][30]. However, the patients included in these studies were recruited on the basis of hospital contacts [4], [8], [30] or from RA registers [9], [12], [28], [29]. Data from RA registers in particular offer detailed patient data of high quality concerning RA, its course, complications, and comorbidities. Thus, studies based on either of these resources are in danger of reporting associations between RA and malignancies due to further examinations derived from increased awareness of the condition [22]. The CopDiff population was sampled continuously without any restrictions as to why the DIFF was requested by the GP which, together with the use of computer-generated random selection of index DIFFs, diminishes surveillance bias. Furthermore, the majority of RA patients in this study were managed in primary care. In Denmark, biological and complex non-biological therapies are offered exclusively in secondary care. Therefore, the majority of patients in the present cohort can be assumed to have mild disease.

The study has limitations. First, the CopDiff database is derived from a population which may present with elevated white blood cell counts and more background morbidity than the general population. The use of logistic regression analysis on the 4-year incidence, however, ensures that the measures of excess risk (OR) can be interpreted independently of the frequency of the cancers in the study, and the OR can therefore be considered to be a valid estimate of excess risk in the general population as well [31]. Second, the follow-up period of only 4 years was chosen in order to optimize the ability to link RA with incident cancer. Thus, we cannot exclude the view that some RA-related malignancies appeared beyond this time frame due to the latency period for cancer development. Third, information about drug treatment was not available. To our knowledge, only one study has found an association between the use of a specific group of antirheumatic drugs, the TNF-inhibitors, and cancer [10], while all other studies have failed to confirm these results [32], [33]. Finally, we did not have access to information on body mass index, smoking, alcohol consumption, exercise patterns, or family history of disease. Smoking is a well-recognized risk factor for the development of RA and lung cancer, and the prevalence of smoking among people with RA is relatively high [3]. However, these risk factors have not been clearly linked to lymphoproliferative malignancies [34], [35].

Particular strengths of this study include the fact that all malignant diagnoses were derived from the DCR which was established in 1942 and to which reporting is mandatory. The validity of the DCR is optimized through regular quality control routines applied in daily data production with manual coding and data validation. An incidence of solid cancers of 1.078 per 100.000 person-years also compares with the national incidence of 1.205 per 100.000 person-years [36]. This suggests that the CopDiff database participants do not differ significantly from the general population with respect to cancer incidence. In addition, we observed age and gender distributions among RA patients which compare well with figures reported from Nordic countries, thereby adding to the validity of the study [37], [38].

In conclusion, based on this large population of individuals identified in a primary care setting, neither early nor longstanding RA was associated with an increased risk of lymphoproliferative or solid cancers within a 4-year time frame. Patients with RA managed in the Danish primary health care system, generally have mild disease which might explain the absence of an association with lymphoproliferative malignancies reported previously among RA patients in secondary care. Blood eosinophilia could not be identified as a mediator of cancer development in the present setting.

Acknowledgments

The authors would also like to express their gratitude to Willy Karlslund, The Research Unit for General Practice in Copenhagen, Denmark for skillful technical assistance.

Author Contributions

Conceived and designed the experiments: CLA NdFO OWB PJ. Performed the experiments: CLA VDS. Analyzed the data: CLA HL HV VDS HCH NdFO OWB PJ. Wrote the paper: CLA HL HV VDS HCH NdFO OWB PJ. Authors who gave final approval of the version to be published: CLA HL HV VDS HCH NdFO OWB PJ.

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