Hematological malignancies in systemic lupus erythematosus: clinical characteristics, risk factors, and prognosis-a case-control study

Higher mortality risk from gynaecological neoplasms and non-Hodgkin's lymphoma in patients with systemic lupus erythematosus: an observational study from the Spanish National Registry

OBJECTIVE

To evaluate the impact of the different types of neoplasms and lineages on mortality of patients with SLE.

METHODS

Retrospective and observational comparison of the neoplasm-related deaths in patients with SLE and the general Spanish population reported in the Spanish Hospital Discharge Database. To determine the impact of SLE on the risk of dying from each neoplasm lineage, a binary logistic regression considering age, female sex, tobacco and alcohol consumption, was performed.

RESULTS

During 2016-2019, 139 531 in-hospital deaths from neoplasms were certified in Spain (91 in patients with SLE). Patients with SLE presented a lower mortality rate from solid organ neoplasms, (80.2% vs 91.1%, OR 0.393), linked to their lower risk of colorectal carcinoma (1.1% vs 10.8%, OR 0.110). By contrast, gynaecological neoplasms presented a higher risk (8.8% vs 3%, OR 3.039) in the deceased patients with SLE, associated with the higher frequency of vulvar neoplasms (2% vs 0.2%, OR 14.767) and cervical carcinomas (3.3% vs 0.5%, OR 3.809). Haematological neoplasm-related deaths were also more prevalent in patients with SLE (19.8% vs 8.9%, OR 2.546), mostly attributable to the higher proportion of deaths due to non-Hodgkin's lymphoma (11% vs 2.9%, OR 4.060) of B cell lineage (9.9% vs 2.5%, OR 4.133).

CONCLUSIONS

Patients with SLE present a higher risk of death from vulvar neoplasms, cervical carcinomas and B-cell non-Hodgkin's lymphoma in comparison with the general Spanish population. In addition to developing strategies that might help to attenuate their occurrence and impact, such as decreasing the immunosuppressive burden, specific early detection programmes for these conditions should be investigated and considered carefully.

An Interpretable Machine Learning Framework for Rare Disease: A Case Study to Stratify Infection Risk in Pediatric Leukemia

Background: Datasets on rare diseases, like pediatric acute myeloid leukemia (AML) and acute lymphoblastic leukemia (ALL), have small sample sizes that hinder machine learning (ML). The objective was to develop an interpretable ML framework to elucidate actionable insights from small tabular rare disease datasets. Methods: The comprehensive framework employed optimized data imputation and sampling, supervised and unsupervised learning, and literature-based discovery (LBD). The framework was deployed to assess treatment-related infection in pediatric AML and ALL. Results: An interpretable decision tree classified the risk of infection as either "high risk" or "low risk" in pediatric ALL (n = 580) and AML (n = 132) with accuracy of ∼79%. Interpretable regression models predicted the discrete number of developed infections with a mean absolute error (MAE) of 2.26 for bacterial infections and an MAE of 1.29 for viral infections. Features that best explained the development of infection were the chemotherapy regimen, cancer cells in the central nervous system at initial diagnosis, chemotherapy course, leukemia type, Down syndrome, race, and National Cancer Institute risk classification. Finally, SemNet 2.0, an open-source LBD software that links relationships from 33+ million PubMed articles, identified additional features for the prediction of infection, like glucose, iron, neutropenia-reducing growth factors, and systemic lupus erythematosus (SLE). Conclusions: The developed ML framework enabled state-of-the-art, interpretable predictions using rare disease tabular datasets. ML model performance baselines were successfully produced to predict infection in pediatric AML and ALL.

The economic burden of systemic lupus erythematosus in United Arab Emirates

AIMS

Our study aims to provide an enhanced comprehension of systemic lupus erythematosus (SLE) burden in United Arab Emirates (UAE), over a five-year period from payer and societal perspective.

MATERIALS AND METHODS

A Markov model was established to simulate the economic consequences of SLE among UAE population. It included four health states: i) the three phenotypes of SLE, representing mild, moderate, and severe states, and ii) death. Clinical parameters were retrieved from previous literature and validated using the Delphi panel-the most common clinical practice within the Emirati healthcare system. We calculated the disease management, transient events, and indirect costs by macro costing. One-way sensitivity analysis was conducted.

RESULTS

The estimated number of SLE patients in our study was 13,359. The number of SLE patients with mild, moderate, and severe phenotypes was 3,914, 8,109, and 1,336, respectively. Disease management costs, including treatment of each phenotype and disease follow-up, were AED 2 billion ($0.89 billion), whereas the costs of transient events (infections, flares, and consequences of SLE-related organ damage) were AED 1 billion ($0.44 billion). The productivity loss costs among adult-employed patients with SLE in the UAE were estimated at AED 7 billion ($3.1 billion). The total SLE cost over five years from payer and societal perspectives is estimated at AED 3 ($1.3 billion) and 10 billion ($4.4 billion), respectively. Additionally, the costs per patient per year from the payer and societal perspectives were AED 45,960 ($20,610) and AED 148,468 ($66,578), respectively.

CONCLUSION

Our findings demonstrate that the burden of SLE in the UAE is enormous, mainly because of the costly complications and productivity loss. More awareness should be created to limit the progression of SLE and reduce the occurrence of flares, necessitating further economic evaluations of novel treatments that could help reduce the economic consequences of SLE in the UAE.

Clinical and economic burden of systemic lupus erythematosus in Colombia

AIMS

Our cost-of-illness (COI) model adopted payer and societal perspectives over five years to measure the economic burden of Systemic Lupus Erythematosus (SLE) in Colombia.

MATERIALS AND METHODS

A prevalence-based model was constructed to estimate costs and economic consequences for SLE patients in Colombia. The model included four health states: three phenotypes of SLE representing mild, moderate, and severe states and death. The clinical inputs were captured from the published literature and validated by the Delphi panel. Our model measured direct medical and indirect costs, including disease management, transient events, and indirect costs. One-way sensitivity analysis was also performed.

RESULTS

The number of Colombian SLE patients was 37,498. The number of SLE patients with mild, moderate, and severe phenotypes was 5343, 28757 and 3,397, respectively. SLE-patients with moderate (Colombian pesos; COP 146 billion) and severe phenotypes (COP276 billion) incurred higher costs than those with mild phenotypes (COP2 billion), over 5 years. The total SLE cost in Colombia over five years from the payer and societal perspectives was estimated to be COP 915 billion and 8 trillion, respectively. The costs per patient per year from the payer and societal perspectives were COP 4,881,902 ($3,510) and COP 46,637,054 ($33,528), respectively.

CONCLUSION

The burden of SLE in Colombia over five years is substantially high, mainly due to the consequences of economic loss because it affects women and men of working age, in addition to the costs of SLE management and its consequences, such as flares, infection, and organ damage. Our COI indicated that disease management costs among patients with moderate and severe SLE were substantially higher than those among patients with a mild phenotype. Therefore, more attention should be paid to limiting the progression of SLE and the occurrence of flares, with the need for further economic evaluation of novel treatment strategies that help in disease control.

The economic burden of systemic lupus erythematosus in Mexico

AIMS

Our cost of illness study aimed to provide an estimate of the burden related to systemic lupus erythematosus (SLE) in the Mexican context.

METHODS

Our model was used to simulate the resource utilization and economic consequences over a period of 5 years for patients with SLE in Mexico. The model simulated four health states-three phenotypes of SLE, including mild, moderate, and severe states, and death. Clinical parameters were retrieved from the literature. Resource utilization in our model represents the most common practice in the Mexican healthcare system. These include disease management, transient events (e.g. infections, flares, and complications due to SLE-related organ damage), and indirect costs. Direct non-medical costs were not considered. One-way sensitivity analysis was performed.

RESULTS

The number of targeted Mexican SLE patients was 57,754. The numbers of SLE patients diagnosed with mild, moderate, and severe phenotypes were 8,230, 44,291, and 5,233, respectively. Disease management costs, including the treatment of each phenotype and disease follow-up, were MXN 4 billion ($ 415 million); the costs of transient events (infections, flares, and consequences of SLE-related organ damage) were MXN 5 billion ($ 478 million). Productivity loss costs among adult employed Mexican patients with SLE were estimated at MXN 17 billion ($ 1.6 billion). The total SLE cost in Mexico over 5 years from the payer and societal perspectives is estimated at MXN 9 billion ($ 893 million) and 26 billion ($ 2.5 billion), respectively. Over 5 years, the costs per patient per year from the payer and societal perspectives were MXN 32,131($ 3,095) and MXN 91,661($ 8,830), respectively.

CONCLUSION

The findings pointed out the substantial economic burden associated with SLE, including the costs of disease progression and SLE transient events, such as flare-ups, infections, and organ damage, in addition to productivity loss due to work capacity impairment.

The economic burden of systemic lupus erythematosus in Taiwan

BACKGROUND

Our cost-of-illness (COI) model adopted both payer and societal perspectives over a time horizon of 5 years to measure the economic burden of systemic lupus erythematosus (SLE) in Taiwan.

METHODOLOGY

A prevalence-based model was established to estimate the economic consequences of SLE after diagnosis in Taiwan. The model included four health states: (i) the three phenotypes representing mild, moderate, and severe SLE, and (ii) death. The inputs were obtained from a literature review of all the clinical trials and validated using a Delphi panel. The Delphi panel's insights included commonly used treatment strategies for patients with SLE within the Taiwanese healthcare system. The costs mentioned in this model are disease management, monitoring, transient event, and indirect costs. One-way sensitivity analyses were conducted to assess the model uncertainty.

RESULTS

The number of patients with SLE in our COI model was 20,189. At diagnosis, the number of SLE patients with mild, moderate, and severe phenotypes was 5,916, 12,255, and 2019, respectively. The total SLE cost in Taiwan over 5 years from both payer and societal perspectives was estimated at TWD 3.9 and 47 billion, respectively. The costs per patient per year from the payer and societal perspective were TWD 38,775 ($2,758) and TWD 466,119 ($33,152), respectively.

CONCLUSION

The findings demonstrated that the burden of SLE in Taiwan over a time horizon of 5 years is substantially high, mainly due to the consequences of economic loss as it affects women and men during their working age, in addition to the costs of SLE management and its consequences, such as flares, infection, and organ damage. Therefore, more attention should be paid to limiting the progression of SLE and the occurrence of flares, and further economic evaluations are necessary to assess novel treatment strategies that could control the disease.

A Rare Case of Dual Metachronous Primary Malignancies, Chronic Myeloid Leukemia, and Tongue Carcinoma in a Patient With Long-Standing Systemic Lupus Erythematosus: A Case Report and Review of Literature

Patients with long-standing autoimmune diseases like systemic lupus erythematosus (SLE) are at a higher risk of developing hematological malignancies. However, chronic myeloid leukemia (CML) has rarely been reported in patients with SLE. Advancements in medical diagnostics and treatment have led to the life expectancy of SLE and CML patients moving closer to that of the general population, and it is not uncommon to encounter more than one malignancy in a cancer survivor. Although squamous cell carcinoma (SCC) of the skin has been reported in CML patients, mucosal SCC of the head and neck has rarely only been reported in CML survivors. The objective of this case report is to share our experience in treating a patient with dual metachronous primary malignancies, CML, and tongue carcinoma, along with long-standing SLE, managed by a multidisciplinary team.

Antinuclear Antibodies Are Associated with an Increased Risk of Diffuse Large B-Cell Lymphoma

Immune dysregulation is thought to increase the risk of non-Hodgkin lymphoma (NHL), but the evidence varies by subtype. We evaluated whether antinuclear antibodies (ANA), double-stranded DNA antibodies (anti-dsDNA), and extractable nuclear antigen antibodies (anti-ENA) were associated with the risk of common NHL subtypes in a nested case-control study. The autoantibodies were tested in serum collected years prior to NHL diagnosis in 832 cases and 809 controls from the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial. Logistic regression was used to determine odds ratios (ORs) and 95% confidence intervals (95% CI) for the association with NHL risk. No association was observed between ANA positivity and NHL risk overall (OR: 1.18, 95% CI: 0.88-1.58); however, ANA positivity was associated with an increased risk of diffuse large B-cell lymphoma (DLBCL) (OR: 1.83, 95% CI: 1.15-2.91), with 19.7% of cases and 12.2% of controls testing positive. The presence of either anti-ENA or anti-dsDNA was associated with an increased risk of NHL (OR: 2.93, 95% CI: 1.18-7.28), particularly DLBCL (OR: 3.51, 95% CI: 1.02-12.0) and marginal zone lymphoma (OR: 8.86, 95% CI: 1.26-62.0). Our study demonstrates that autoantibodies are associated with an elevated risk of DLBCL, providing support for autoimmunity as a risk factor.

Dual direction associations between common autoimmune diseases and leukemia among children and young adults: A systematic review

BACKGROUND

Childhood leukemia and many autoimmune (AI) diseases are severe pediatric conditions with lifelong consequences. AI diseases form a heterogeneous disease group affecting about 5 % of children worldwide, while leukemia is the most common malignancy among children aged 0-14 years. The timing and similarities in suggested inflammatory and infectious triggers of AI disease and leukemia have raised a question whether the diseases share common etiological origins. We conducted a systematic review to evaluate the evidence linking childhood leukemia and AI diseases.

DATA SOURCES

In the systematic literature search CINAHL (from 1970), Cochrane Library (form 1981), PubMed (from 1926) and Scopus (from 1948) were queried in June 2023.

REVIEW METHODS

We included studies covering the association between any AI disease and acute leukemia, limiting it to children and adolescents under 25 years old. The studies were reviewed independently by two researchers and the risk of bias was assessed.

RESULTS

A total of 2119 articles were screened and 253 studies were selected for detailed evaluation. Nine studies met the inclusion criteria, of which eight were cohort studies and one was a systematic review. The diseases covered were type 1 diabetes mellitus, inflammatory bowel diseases and juvenile arthritis alongside acute leukemia. Five cohort studies were suitable for more detailed analysis: a rate ratio for leukemia diagnosis after any AI disease was 2.46 (95 % CI 1.17-5.18; heterogeneity I2 15 %) with a random-effects model.

CONCLUSIONS

The results of this systematic review indicate that AI diseases in childhood are associated with a moderately increased risk of leukemia. The association for individual AI diseases needs further investigation.

Anaplastic Large Cell Lymphoma Misdiagnosed as Systemic Lupus Erythematosus: A Report of a Rare Case

Non-Hodgkin lymphomas are a diverse group of lymphoproliferative disorders rising from the lymphocytes with a broad spectrum of histological characteristics and clinical manifestations that often complicate accurate diagnosis. Autoantibodies have been observed at higher frequencies in lymphoproliferative diseases, yet the precise role of the immune system and the underlying causative factors remain enigmatic. Anaplastic large cell lymphoma (ALCL), an aggressive non-Hodgkin's lymphoma variant, commonly presents in a manner akin to other aggressive lymphomas, featuring swift progression of peripheral and/or retroperitoneal adenopathy, accompanied by systemic symptoms like fever, night sweats, and weight loss. This case report delves into a histologically verified instance of ALCL, which strikingly emulates systemic lupus erythematosus. This report's objective is to underscore the concept that lymphoma can manifest clinical or biological features reminiscent of autoimmunity.

Exploration of the molecular mechanisms, shared gene signatures, and MicroRNAs between systemic lupus erythematosus and diffuse large B cell lymphoma by bioinformatics analysis

BACKGROUND

Systemic lupus erythematosus (SLE) is a complex heterogeneous systemic autoimmune disease. Previous studies have shown that SLE may be related to diffuse large B cell lymphoma (DLBCL), but the mechanism of their relationship is still unclear. The present study aimed to explore the common genetic molecular mechanisms, core shared genes, and miRNAs between SLE and DLBCL as well as to investigate the diagnostic markers of DLBCL.

METHODS

The SLE and DLBCL microarray data were downloaded from the comprehensive Gene Expression Omnibus (GEO) database. Weighted gene co-expression network analysis (WGCNA) was used to identify co-expression modules. Four core shared genes were screened out by various algorithms and validated in other cohorts. Finally, we constructed a common core gene-miRNA network using the human microRNA disease database (HMDD) and TarBase.

RESULTS

Using WGCNA, four modules were identified as important modules for SLE and DLBCL. Enrichment analysis of the shared genes showed that the highly activated NF-κB pathway was a common feature of the pathophysiology. Four core shared genes, namely, PSMB10, PSMB4, TAF10, and NFΚBIA, were screened out. These core shared genes were significantly upregulated in both diseases, and they may be potential diagnostic markers of DLBCL. The core gene-miRNA network showed that miR-155-5p, regulating the shared NF-κB pathway, may play an important role in the susceptibility of SLE patients to DLBCL.

CONCLUSION

The present study revealed that NF-κB pathway in SLE may be a crucial susceptible factor for DLBCL. In addition, we identified PSMB10, PSMB4, TAF10, NFΚBIA and miR-155 involved in the common pathogenesis as potential biomarkers and therapeutic targets for DLBCL.