Associations of Circulating Cytokines and Chemokines With Cancer Mortality in Men With Rheumatoid Arthritis

Identification of potential hub genes and biological mechanism in rheumatoid arthritis and non-small cell lung cancer via integrated bioinformatics analysis

BACKGROUND

Although there is evidence of the association between RA and NSCLC, little is known about their interaction mechanisms. The aim of this study is to identify potential hub genes and biological mechanism in RA and NSCLC via integrated bioinformatics analysis.

METHODS

The gene expression datasets of RA and NSCLC were downloaded to discover and validate hub genes. After identifying DEGs, we performed enrichment analysis, PPI network construction and module analysis, selection and validation of hub genes. Moreover, we selected the hub gene PTPRC for expression and prognosis analysis, immune analysis, mutation and methylation analysis in NSCLC. Finally, we performed real-time PCR, colony formation assay, wound healing assay, transwell invasion assay, sphere formation assay and western blotting to validate the role of PTPRC in A549 cells.

RESULTS

We obtained 320 DEGs for subsequent analysis. Enrichment results showed that the DEGs were mainly involved in Th1, Th2 and Th17 cell differentiation. In addition, four hub genes, BIRC5, PTPRC, PLEK, and FYN, were identified after selection and validation. These hub genes were subsequently shown to be closely associated with immune cells and related pathways. In NSCLC, PTPRC was downregulated, positively correlated with immune infiltration and immune cells. Experiments showed that PTPRC could promote the proliferation, migration and invasion, and the ability to form spheroids of A549 cells. In addition, PTPRC could regulate the increased expression of CD45, β-catenin, c-Myc and LEF1 proteins.

CONCLUSIONS

This study explored the hub genes and related mechanisms of RA and NSCLC, demonstrated the central role of the inflammatory response and the adaptive immune system, and identified PTPRC as an immune-related biomarker and potential therapeutic target for RA and NSCLC patients. In addition, PTPRC can significantly promote the proliferation, migration and invasion of A549 cells, and its mechanism may be to promote the EMT process by regulating the Wnt signaling pathway and promote cell stemness, which in turn has a promoting effect on A549 cells.

Systemic immune-inflammation index predicts survival in patients with resected lung invasive mucinous adenocarcinoma

BACKGROUND

The prognostic-related factors of lung invasive mucinous adenocarcinoma(IMA) are unclear because of its rarity. Various inflammation-based biomarkers were reported to predict the survival of malignant diseases. This study aims to explore the prognostic significance of the systemic immune-inflammation index(SII), which is calculated using absolute platelet, neutrophil, and lymphocyte counts, among patients with invasive mucinous adenocarcinoma.

METHODS

From January 2015 to December 2019, 106 patients were identified as having IMA accepted radical resection and enrolled in the retrospective study. We analyzed the overall survival and disease-free survival using the Kaplan-Meier method and log-rank test. Receiver operating characteristic curve was used to find the optimal SII cut-off values for survival. A Cox regression model was carried out for multivariable analyses.

RESULTS

The study cohort included 53 men and 53 women, with a mean age of 60 years (range 29 to 78 years, median 61 years). The median SII measured before surgery was 378.47 (range: 79.87-1701.97). ROC analyses revealed that the optimal cut-off values of SII was 379.43 for predicting both OS and DFS. An elevated SII (≥379.43) was observed in 52 patients (49.1 %), and was associated with younger age (P = 0.02), advanced T staging (P = 0.042), lymph node metastasis (P = 0.018) and pneumonic-type IMA (P = 0.018). Multivariable analysis showed that SII and pneumonic-type IMA were independent prognostic predictors of OS and DFS in radically resected IMA patients (P < 0.05).

CONCLUSION

High SII is correlated with worse outcome and can be a novel prognostic biomarker for IMA patients accepted radical surgery.

Risk of Prostate Cancer in US Veterans With Rheumatoid Arthritis

OBJECTIVE

Patients with rheumatoid arthritis (RA) have an increased risk of select cancers, including lymphoma and lung cancer. Whether RA influences prostate cancer risk is uncertain. We aimed to determine the risk of prostate cancer in patients with RA compared to patients without RA in the Veterans Health Administration (VA).

METHODS

We performed a matched (up to 1:5) cohort study of male patients with and without RA in the VA from 2000 to 2018. RA status, as well as covariates, were obtained from national VA databases. Prostate cancer was identified through linked VA cancer databases and the National Death Index. Multivariable Cox models compared prostate cancer risk between patients with RA and patients without RA, including models that accounted for retention in the VA system.

RESULTS

We included 56,514 veterans with RA and 227,284 veterans without RA. During 2,337,104 patient-years of follow-up, 6,550 prostate cancers occurred. Prostate cancer incidence (per 1,000 patient-years) was 3.50 (95% confidence interval [95% CI] 3.32-3.69) in patients with RA and 2.66 (95% CI 2.58-2.73) in patients without RA. After accounting for confounders and censoring for attrition of VA health care, RA was modestly associated with a higher prostate cancer risk (adjusted HR [HRadj ] 1.12 [95% CI 1.04-1.20]). There was no association between RA and prostate cancer mortality (HRadj 0.92 [95% CI 0.73-1.16]).

CONCLUSION

RA was associated with a modestly increased risk of prostate cancer, but not prostate cancer mortality, after accounting for relevant confounders and several potential sources of bias. However, even minimal unmeasured confounding could explain these findings.

Classification of long-term condition patterns in rheumatoid arthritis and associations with adverse health events: a UK Biobank cohort study

PURPOSE

We aimed to classify individuals with RA and ≥2 additional long-term conditions (LTCs) and describe the association between different LTC classes, number of LTCs and adverse health outcomes.

METHODS

We used UK Biobank participants who reported RA (n=5,625) and employed latent class analysis (LCA) to create classes of LTC combinations for those with ≥2 additional LTCs. Cox-proportional hazard and negative binomial regression were used to compare the risk of all-cause mortality, major adverse cardiac events (MACE), and number of emergency hospitalisations over an 11-year follow-up across the different LTC classes and in those with RA plus one additional LTC. Persons with RA without LTCs were the reference group. Analyses were adjusted for demographic characteristics, smoking, BMI, alcohol consumption and physical activity.

RESULTS

A total of 2,566 (46%) participants reported ≥2 LTCs in addition to RA. This involved 1,138 distinct LTC combinations of which 86% were reported by ≤2 individuals. LCA identified 5 morbidity-classes. The distinctive condition in the class with the highest mortality was cancer (class 5; HR 2.66 95%CI (1.91-3.70)). The highest MACE (HR 2.95 95%CI (2.11-4.14)) and emergency hospitalisations (rate ratio 3.01 (2.56-3.54)) were observed in class 3 which comprised asthma, COPD & CHD. There was an increase in mortality, MACE and emergency hospital admissions within each class as the number of LTCs increased.

CONCLUSIONS

The risk of adverse health outcomes in RA varied with different patterns of multimorbidity. The pattern of multimorbidity should be considered in risk assessment and formulating management plans in patients with RA.

Manifestaciones pulmonares de la artritis reumatoide, una revisión en tiempos de pandemia por SARS-CoV-2

La artritis reumatoide (AR) es una de las patologías crónicas de origen autoinmune más frecuentes. Su prevalencia varía del 0,5 al 1%, con un compromiso primario a nivel articular, generando gran discapacidad por las deformidades secundarias derivadas de un estado inflamatorio persistente. Considerando el alto impacto en la calidad de vida de quienes la padecen, sumado al alto costo de las intervenciones terapéuticas, se vuelve imperativo para el personal de salud sumar todos los esfuerzos para promover un diagnóstico temprano y reconocer las potenciales complicaciones con el fin de impactar positivamente en los desenlaces clínicos. Alrededor del 50% de los pacientes con AR pueden tener compromiso extraarticular, siendo el pulmón uno de los órganos más afectados. En época de pandemia por el virus SARS-CoV-2 es necesario recordar los tipos de compromiso pulmonar en pacientes con AR y tener en cuenta la susceptibilidad de estos pacientes a cuadros infecciosos que pueden generar una gran morbimortalidad.

The impact of disease severity measures on survival in U.S. veterans with rheumatoid arthritis-associated interstitial lung disease

OBJECTIVES

To determine whether RA and interstitial lung disease (ILD) severity measures are associated with survival in patients with RA-ILD.

METHODS

We studied US veterans with RA-ILD participating in a multicentre, prospective RA cohort study. RA disease activity (28-joint DAS [DAS28-ESR]) and functional status (multidimensional HAQ [MDHAQ]) were collected longitudinally while pulmonary function tests (forced vital capacity [FVC], diffusing capacity for carbon monoxide) were obtained from medical records. Vital status and cause of death were determined from the National Death Index and administrative data. Predictors of death were assessed using multivariable Cox regression models adjusting for age, sex, smoking status, ILD duration, comorbidity burden and medications.

RESULTS

We followed 227 RA-ILD participants (93% male and mean age of 69 years) over 1073 person-years. Median survival after RA-ILD diagnosis was 8.5 years. Respiratory diseases (28%) were the leading cause of death, with ILD accounting for 58% of respiratory deaths. Time-varying DAS28-ESR (adjusted hazard ratio [aHR] 1.21; 95% CI: 1.03, 1.41) and MDHAQ (aHR 1.85; 95% CI: 1.29, 2.65) were separately associated with mortality independent of FVC and other confounders. Modelled together, the presence of either uncontrolled disease activity (moderate/high DAS28-ESR) or FVC impairment (<80% predicted) was significantly associated with mortality risk. Those with a combination of moderate/high disease activity and FVC <80% predicted had the highest risk of death (aHR 4.43; 95% CI: 1.70, 11.55).

CONCLUSION

Both RA and ILD disease severity measures are independent predictors of survival in RA-ILD. These findings demonstrate the prognostic value of monitoring the systemic features of RA-ILD.

Associations of serum cytokines and chemokines with the risk of incident cancer in a prospective rheumatoid arthritis cohort

OBJECTIVES

We aimed to assess whether serum cytokine/chemokine concentrations predict incident cancer in RA patients.

METHODS

Data from cancer-free enrollees in the Veterans Affairs Rheumatoid Arthritis (VARA) Registry were linked to a national VA oncology database and the National Death Index (NDI) to identify incident cancers. Seventeen serum cytokines/chemokines were measured from enrollment serum and an overall weighted cytokine/chemokine score (CK score) was calculated. Associations of cytokines/chemokines with all-site, lung, and lymphoproliferative cancers were assessed in Cox regression models accounting for relevant covariates including age, sex, RA disease activity, and smoking.

RESULTS

In 1216 patients, 146 incident cancers (42 lung and 23 lymphoproliferative cancers) occurred over 10,072 patient-years of follow-up with a median time of 4.6 years from enrollment (cytokine/chemokine measurement) to cancer incidence. In fully adjusted models, CK score was associated with a higher risk of all-site (aHR 1.32, 95% CI 1.01-1.71, p < 0.001), lung (aHR 1.81, 1.40-2.34, p = 0.001), and lung/lymphoproliferative (aHR 1.54 [1.35-1.75], p < 0.001) cancer. The highest quartile of CK score was associated with a higher risk of all-site (aHR 1.91, 0.96-3.81, p = 0.07; p-trend = 0.005), lung (aHR 8.18, 1.63-41.23, p = 0.01; p-trend < 0.001), and lung/lymphoproliferative (aHR 4.56 [1.84-11.31], p = 0.001; p-trend < 0.001) cancer. Thirteen of 17 individual analytes were associated with incident cancer risk.

CONCLUSION

Elevated cytokine/chemokine concentrations are predictive of future cancer in RA patients, particularly lung and lymphoproliferative cancers. These results suggest that the measurement of circulating cytokines/chemokines could be informative in cancer risk stratification and could provide insight into future cancer prevention strategies in RA, and possibly individuals without RA.

Systemic inflammation is associated with inferior disease control and survival in stage III non-small cell lung cancer

Background

The systemic immune-inflammation index (SII) correlates with patient survival in various types of solid malignancies, including non-small cell lung cancer (NSCLC). However, limited information is available on the prognostic implication and disease-specific survival of SII in patients undergoing definitive chemoradiation therapy (CRT) for stage III NSCLC.

Methods

We retrospectively reviewed 125 patients who underwent curative intent CRT for stage III NSCLC with sufficient laboratory assessment from 2010–2019. SII was calculated at the time of diagnosis as platelet count × neutrophil count/lymphocyte count. Chi-squared analysis was used to compare categorical variables. A Kaplan-Meier analysis was performed to estimate progression-free survival (PFS), disease specific survival (DSS), and overall survival (OS) rates, with Cox regression used to determine absolute hazards.

Results

At a median follow-up of 19.7 months, 5-year OS, DSS, and PFS rates were 22.6%, 30.9%, and 13.4%, respectively. A low SII (<1,266) at diagnosis was independently associated with an improved OS (HR: 0.399, 95%, CI: 0.247–0.644, P<0.001), DSS (HR: 0.383, 95%, CI: 0.228–0.645, P<0.001), and PFS (HR: 0.616, 95%, CI: 0.407–0.932, P=0.022). We did not detect an association between SII and freedom from recurrence (FFR), freedom from locoregional recurrence (FFLRR), or freedom from distant recurrence (FFDR). NSAID (1,483.4 vs. 2,302.9, P=0.038) and statin usage (1,443.9 vs. 2,201.7, P=0.046) were associated with a lower SII while COPD exacerbations (2,699.7 vs. 1,573.7, P=0.032) and antibiotic prescriptions (2,384.6 vs. 1,347.9, P=0.009) were associated with an elevated SII. These factors were not independently associated with improved survival outcomes.

Conclusions

Low SII scores were independently associated with improved OS, DSS, and PFS rates in patients with stage III NSCLC undergoing definitive CRT. NSAIDs and statin usage may be associated with lower SII at diagnosis of NSCLC. This study suggests that SII may be an effective prognostic indicator of patient mortality. Further investigation of the therapeutic potential of these agents in patients with an elevated SII in this setting may be warranted.

Overview of the Associations Between Cancer and Rheumatic Disease

People living with rheumatic diseases frequently encounter cancer, either as a potential harm of antirheumatic therapies or as a comorbidity that alters the conversation about management. This article provides a general overview of the issues related to cancer and rheumatic disease and serves as a springboard for the remaining chapters in this issue. Several topics are reviewed, including epidemiology, bidirectional causal pathways, and issues related to medications. Although uncertainties remain, the issue of cancer is of great importance to patients with rheumatic diseases, and an individualized, person-centered approach to assessment and management is necessary.

Prevalence of Cancer in Rheumatoid Arthritis: Epidemiological Study Based on the National Health and Nutrition Examination Survey (NHANES)

Rheumatoid arthritis (RA) is a multi-system autoimmune disease with significant morbidity and healthcare burden. It is an inflammatory condition and has been associated with lymphomas, with or without the presence of immunosuppressive therapy. However, the association of rheumatoid arthritis with other malignancies has been inconsistent. We used the data from a population-based National Health and Nutrition Examination Survey (NHANES) for epidemiological study to evaluate the association between RA and the incidence of cancer. Using the data collected between 2011 and 2014, we were able to determine the incidence of cancer in 11,262 patients. Incidence of cancer was increased in patients with RA with an odds ratio of 1.632 (95% confidence interval [CI]: 1.239-2.151; p=0.0005). Breast cancer (CA) and prostate CA were the most common types of cancer (each diagnosed in 16.22% individuals) and lung CA and lymphomas found in 1.35% of individuals. It is also important to be aware of increased risk and adequately screen patients for malignancies during the course of treatment and follow up of rheumatoid arthritis. Further large prospective studies are required to determine the association of the RA or its treatment and the risk of malignancies.

Lung cancer in patients with and without rheumatoid arthritis: A propensity score-matched survival analysis cohort study

Background

Connective tissue disease increases the risk of lung cancer, but whether rheumatoid arthritis (RA) has an effect on the overall survival (OS) rate in this population has not been well studied.

Methods

Patients diagnosed with lung cancer between January 2015 and December 2017 were enrolled in this retrospective analysis. Propensity score matching was performed to balance the baseline of the two groups, whereas the differences between patients with and without RA were compared using survival analysis. Further, the effects of interstitial lung disease (ILD) and qi deficiency on survival in cases of RA with lung cancer were examined. Cox regression analysis was applied to predict the factors that influenced the survival of lung cancer to one year.

Results

Overall, 154 lung cancer patients, including 136 (88.3%) without RA and 18 (11.7%) with RA, were included. Two comparison cohorts were matched by 1:2 propensity score matching, which yielded 18 lung cancer patients with RA and 36 lung cancer patients without RA. Ultimately, the survival prognosis of lung cancer and RA was worse than that without RA, that of patients with ILD with RA and lung cancer was worse than that among those without RA, and that of patients with qi deficiency with RA and lung cancer was worse than that among those without RA.

Conclusions

The survival prognosis of lung cancer patients with RA is worse than that of those without RA. ILD and qi deficiency promote reduced survival when found in conjunction with RA in patients with lung cancer.

TNF-α -308 G>A and IL10 -1082A>G polymorphisms as potential risk factors for lymphoproliferative disorders in autoimmune rheumatic diseases

Background

Chronic inflammation with sustained unregulated immune stimulation in autoimmune rheumatic diseases (ARD) may be a risk factor for developing lymphoproliferative disorders (LPD). Markers of ARD activity as high erythrocyte sedimentation rate or erosive joint diseases and the development of B-symptoms were accounted as risk factors for LPD development. We investigated the association of five inflammatory cytokine genes single nucleotide polymorphisms (SNPs): TNF-α -308G>A; TGF-β1 gene codon 10 T>C and 25 G>C; IL-10 promoter SNPs -1082 A>G, -819T>C, and -592A>C; IL-6 -174G>C; and IFN-γ 874 T>A with the risk of LPD development in ARD patients. The study was conducted on 70 patients divided into group I, 25 ARD patients diagnosed as RA (n = 15) and SLE (n = 10) and with no history of malignancy; group II, 25 patients diagnosed with LPD and had no ARD; and group III, 20 patients diagnosed with both diseases: ARD and LPD. Cytokine genotyping was analyzed by PCR-sequence-specific primer (PCR-SSP).

Results

ARD+LPD patients had significantly higher frequency of TNF-α -308A allele and AA+AG genotype (high TNF-α producers) and IL-10 -1082A allele and AA genotype (low IL-10 producers) than ARD patients (p = 0.003, p = 0.024, p = 0.003, p = 0.03, respectively) with a significantly increased risk of LPD development in ARD patients expressing the corresponding alleles and genotypes. No significant differences were detected in the distribution frequency of either TGF-β1, IL-6, or IFN-γ SNPs between groups I and III or any of the studied SNPs between groups II and III. The distribution frequency of IL-10 ATA haplotype was significantly increased in group III as compared to group I (p = 0.037).

Conclusion

The significantly increased frequency of the high-TNF-α- and low-IL-10-producing alleles and genotypes in ARD patients may participate in the provision of a proinflammatory milieu that eventually increases the risk of LPD development.

Imputing missing data of function and disease activity in rheumatoid arthritis registers: what is the best technique?

Objective

To compare several methods of missing data imputation for function (Health Assessment Questionnaire) and for disease activity (Disease Activity Score-28 and Clinical Disease Activity Index) in rheumatoid arthritis (RA) patients.

Methods

One thousand RA patients from observational cohort studies with complete data for function and disease activity at baseline, 6, 12 and 24 months were selected to conduct a simulation study. Values were deleted at random or following a predicted attrition bias. Three types of imputation were performed: (1) methods imputing forward in time (last observation carried forward; linear forward extrapolation); (2) methods considering data both forward and backward in time (nearest available observation—NAO; linear extrapolation; polynomial extrapolation); and (3) methods using multi-individual models (linear mixed effects cubic regression—LME3; multiple imputation by chained equation—MICE). The performance of each estimation method was assessed using the difference between the mean outcome value, the remission and low disease activity rates after imputation of the missing values and the true value.

Results

When imputing missing baseline values, all methods underestimated equally the true value, but LME3 and MICE correctly estimated remission and low disease activity rates. When imputing missing follow-up values at 6, 12, or 24 months, NAO provided the least biassed estimate of the mean disease activity and corresponding remission rate. These results were not affected by the presence of attrition bias.

Conclusion

When imputing function and disease activity in large registers of active RA patients, researchers can consider the use of a simple method such as NAO for missing follow-up data, and the use of mixed-effects regression or multiple imputation for baseline data.

Association of baseline inflammatory biomarkers with cancer mortality in the REGARDS cohort

This study examines the association between inflammatory biomarkers and risk of cancer mortality by race. Data were obtained from 1,856 participants in the prospective REGARDS cohort who were cancer-free at baseline, and analyzed in relation to cancer mortality prospectively. Biomarkers were log-transformed and categorized into tertiles due to non-normal distributions, and Cox proportional hazard regression models were utilized to compute hazard ratios with 95% confidence intervals using robust sandwich methods. Individuals in the highest tertile of IL-6 had over a 12-fold increased risk of cancer mortality (HR: 12.97, 95% CI: 3.46–48.63); those in the highest tertile of IL-8 had over a 2-fold increased risk of cancer mortality (HR: 2.21, 95% CI: 0.86–5.71), while those in the highest tertile of IL-10 had over a 3-fold increased risk of cancer mortality (HR: 3.06, 95% CI: 1.35–6.89). In race-stratified analysis, each unit increase in IL-6 was associated with increased risk of cancer mortality among African-Americans (HR: 3.88, 95% CI: 1.17–12.88) and Whites (5.25, 95% CI: 1.24–22.31). If replicated in larger, racially diverse prospective cohorts, these results suggest that cancer patients may benefit from clinical or lifestyle approaches to regulate systemic inflammation as a cancer prevention strategy.

Post-traumatic stress disorder and serum cytokine and chemokine concentrations in patients with rheumatoid arthritis✰

OBJECTIVE

Although post-traumatic stress disorder (PTSD) is identified as a risk factor in the development of rheumatoid arthritis (RA), associations of PTSD with disease progression are less clear. To explore whether PTSD might influence disease-related measures of systemic inflammation in RA, we compared serum cytokine/chemokine (cytokine) concentrations in RA patients with and without PTSD.

METHODS

Participants were U.S. Veterans with RA and were categorized as having PTSD, other forms of depression/anxiety, or neither based on administrative diagnostic codes. Multiplex cytokines were measured using banked serum. Associations of PTSD with cytokine parameters (including a weighted cytokine score) were assessed using multivariable regression, stratified by anti-CCP status and adjusted for age, sex, race, and smoking status.

RESULTS

Among 1,460 RA subjects with mean (SD) age of 64 (11) years and disease duration of 11 (11) years, 91% were male, 77% anti-CCP positive, and 80% ever smokers. Of these, 11.6% had PTSD, 23.7% other depression/anxiety, and 64.7% had neither. PTSD, but not depression/anxiety, was associated with a higher cytokine score and number of high-concentration analytes in adjusted models, though this was limited to anti-CCP positive subjects. PTSD was associated with heightened expression of several individual cytokines including IL-1β, IL-2, IL-4, IL-5, IL-6, IL-7, IL-10, IL-12, IL-17, IFN-γ, GM-CSF, MCP-1, and TNF-α.

CONCLUSION

Anti-CCP positive RA patients with PTSD have higher serum cytokine concentrations than those without PTSD, demonstrating that systemic inflammation characteristic of RA is heightened in the context of this relatively common psychiatric comorbidity.

Evaluation of cytokine profiles in rheumatoid arthritis patients with clinically active disease and normal inflammatory indices

OBJECTIVE

To assess the potential utility of a cytokine measurement in rheumatoid arthritis (RA) patients with active joint disease but normal acute phase reactants (APR).

METHODS

RA patients in a longitudinal observational registry with available cytokine array data were included. Patients were categorized based on agreement/disagreement of physical examination and APR measurements: concordant high (CH) [high tender and/or swollen joint counts (TJC + SJC > 3) and APR (ESR ≥ 28 mm/h + CRP ≥ 1.5 mg/L)]; concordant low (CL) [TJC + SJC ≤ 3 and normal APR]. Discordant (D) [TJC + SJC > 3 and normal APR] patients were stratified into low, medium, and high-disease activity (DL, DM, DH). Weighted-average and log-transformed cytokine scores were calculated based on results of a cytokine array. Chi-square tests compared categorical variables by concordance status; t tests, Wilcoxon rank-sum tests, ANOVA models, and ordinary least squares (OLS) regressions were used to compare continuous measures.

RESULTS

RA patients (n = 1467) were predominantly male (91%). Compared to CH patients (n = 174), D (n = 434) were younger, less frequently seropositive, with lower TJC, SJC, and DAS28-3v scores (p < 0.001). Cytokine scores for DL, DM, and DH groups were lower than CH patients (p < 0.001) and did not differ between DL, DM, and DH subgroups and were similar to CL (n = 356) patients. In multivariable analyses including CH and D patients, log-cytokine score was associated with higher DAS28-3v scores (p = 0.029). In multivariable analyses including CL patients, concordance status (p = 0.011) and ACPA (p = 0.013) were predictors of higher log cytokine score.

CONCLUSION

In this study, cytokine scores did not identify active joint disease in RA patients with normal APR.

The Prevalence of Systemic Rheumatic Diseases Among Breast Cancer Patients and Its Relationship With Survival

Objectives

This study aims to investigate the prevalence of systemic rheumatic diseases (SRDs) among patients with breast cancer (BC) and to identify the clinicopathological characteristics of these patients.

Patients and methods

A total of 3,744 female patients with BC (mean age 49±11.7 years; range, 18 to 92 years) followed in Hacettepe University Faculty of Medicine, Medical Oncology Department between January 2006 and December 2015 were retrospectively assessed. Patients with or without SRD were compared in terms of clinicopathological features including age, menopausal state, smoking status, Body Mass Index (BMI), age of menarche, age at first labor, and number of children. The groups were also evaluated regarding tumor grade, stage, estrogen receptor and progesterone receptor expression, human epidermal growth factor receptor 2 overexpression, and survival.

Results

Of the patients analyzed, 68 (1.81%) had concomitant SRD. Among these patients, 33 (48.6%) had rheumatoid arthritis, eight (11.8%) had familial Mediterranean fever, eight (11.8%) had Behçet's disease, four (5.8%) had Sjögren's syndrome, four (5.8%) had systemic lupus erythematosus, six (8.8%) had ankylosing spondylitis, three (4.4%) had systemic sclerosis, one (1.4%) had polymyositis, and one (1.4%) had temporal arteritis. The groups with or without SRDs were similar in terms of age, smoking status, BMI, menopausal state, breast feeding duration, age at menarche and first birth. Stage 1 and 2 BC was more prevalent in SRD patients (74.6% vs. 64.5%, p=0.018). The rate to receive chemotherapy was significantly lower in patients with SRD. However, there was no significant difference in five-year overall survival rates between patients with or without SRD.

Conclusion

Among patients with BC, 1.81% had concomitant SRD. These patients were diagnosed at early stages and given chemotherapy less frequently. However, they had similar survival rates compared to those without SRDs.

Smoking Behavior Changes in the Early Rheumatoid Arthritis Period and Risk of Mortality During Thirty-Six Years of Prospective Followup

OBJECTIVE

To investigate whether rheumatoid arthritis (RA) diagnosis influences smoking behavior changes and whether these changes were associated with mortality.

METHODS

We identified an incident RA cohort in the Nurses' Health Study (NHS; 1976-2012). Behavioral data were collected through biennial questionnaires. We created a comparison cohort, matching RA cases to women without RA by age and calendar year at the index date of RA diagnosis. To investigate smoking behavior changes in the early RA period, sustained cessation was defined as permanently quitting within 4 years of the RA/index date. We used Cox regression to obtain hazard ratios (HRs) for mortality, comparing sustained smoking cessation to continued smoking.

RESULTS

Among 121,700 women in the NHS, we identified 938 with incident RA matched to 8,951 non-RA comparators. Among current smokers, 40.0% with RA permanently quit smoking in the early RA period, compared to 36.1% of comparators (odds ratio for sustained cessation 1.18 [95% confidence interval (95% CI) 0.88, 1.58]). There were 313 deaths (33.4%) in the RA cohort and 2,042 (22.8%) among comparators. Compared to continued smoking, sustained cessation was associated with similarly decreased mortality in both the RA (HR 0.58 [95% CI 0.33, 1.01]) and comparison (HR 0.47 [95% CI 0.39, 0.58]) cohorts. Women with RA had higher mortality for >5 post-RA pack-years (HR 3.67 [95% CI 2.80, 4.81]) than comparators with >5 post-index pack-years (HR 1.88 [95% CI 1.62, 2.17]; P < 0.001 for interaction; reference: ever-smoker non-RA women with 0 post-index pack-years).

CONCLUSION

Sustained smoking cessation within 4 years of RA diagnosis reduced mortality risk, with a similar effect observed among non-RA comparators. Smoking >5 pack-years after RA diagnosis significantly increased mortality beyond the risk of non-RA comparators.