Frequency of Autoantibodies on Non-Hodgkin Lymphoma.

(1) Background: Non-Hodgkin Lymphoma is a neoplasm that can significantly compromise the immune system, but timely assessment can change the patient outcome. In cancer, the activation of the immune system could lead to the secretion of autoantibodies. (2) Methods: A retrospective cohort study was performed from 2017 to 2019 in patients with Non-Hodgkin Lymphoma diagnosed with a biopsy. (3) Results: We included 39 patients who were newly diagnosed, untreated, and without any autoimmune disease previously reported. Thirty patients had the presence of autoantibodies (antiphospholipid antibodies, anti-cytoplasmic neutrophils antibodies, antinuclear antibodies), and nine were without autoantibodies. There were no statistical differences among groups regarding clinical, demographic, staging, and prognosis characteristics. Also, there were no differences in the outcomes of the patients after finishing chemotherapy and one year after initiating treatment. (4) Conclusions: Further investigations must be conducted regarding an extended panel of autoantibodies because the panel of autoantibodies in this study did not show a relationship between the presence and the clinical outcome of the patients.

The Hypertriglyceridemic Waist Phenotype Is Associated with Several Cardiovascular Risk Factors in Women with Rheumatoid Arthritis.

Rheumatoid arthritis (RA) associates with cardiovascular risk factors (CVRF) such as dyslipidemias and systemic inflammation. Cardiovascular Disease (CVD) is the leading cause of mortality. The hypertriglyceridemic waist phenotype (HTWP) identifies increased CVRF; however, information about HTWP on RA is scarce. OBJECTIVE: To evaluate the association of HTWP with CVRF in RA. MATERIAL AND METHODS: Cross-sectional study. Women (125) with RA were included (ACR, 1987). Anthropometry, bioimpedance, body mass index (BMI), disease activity score 28 (DAS28), and health assessment questionnaire disability index (HAQ-Di) were determined. The lipid profile determination includes the atherogenic index (AI) (TC/HDL) and Framingham Risk Score. HTWP is defined as a waist circumference ≥88 cm and triglycerides ≥ 150 mg/dL. Chi-squared and Student's t-tests were applied for comparisons. RESULTS: HTWP was found in 38 (30.4%) patients. The subgroup with HTWP had a greater frequency of arterial hypertension (AHT) (57.9 vs. 37.9, p = 0.04), Type 2 DM (23.7 vs. 8.0, p= 0.02), BMI (29.7 ± 3.2, vs. 26.8 ± 4.3, p < 0.001), fat mass (39.3 ± 4.8 vs. 34.7 ± 6.8, p < 0.001), and AI (4.7 ± 1.2 vs. 3.7 ± 1.0, p < 0.001). No differences between DAS28 and HAQ-Di were found. HTWP was associated with the presence of MetS and CVR (p < 0.001 and p = 0.012, respectively). CONCLUSION: The HTWP in RA is associated with CVRF, and its potential predictive role should be evaluated in longitudinal studies.

Antiphospholipid Antibodies and Lipids in Hematological Malignancies.

One of the main groups of lipids is phospholipids, which are mainly involved in forming cell membranes. Neoplastic processes such as cell replication have increased lipid synthesis, making tumor cells dependent on this synthesis to maintain their requirements. Antiphospholipid antibodies attack phospholipids in the cell membranes. Three main types of antiphospholipid antibodies are recognized: anti-ß2 glycoprotein I (anti-ß2GP-I), anticardiolipin (aCL), and lupus anticoagulant (LA). These types of antibodies have been proven to be present in hematological neoplasms, particularly in LH and NHL. This review on antiphospholipid antibodies in hematological neoplasms describes their clinical relationship as future implications at the prognostic level for survival and even treatment.

Correlation between percentage of fat mass and level of disease activity in rheumatoid arthritis.

Introduction: Controversies exist regarding the relationship between body fat and disease activity in patients with rheumatoid arthritis. The evaluation of the disease is critical for establishing treatment and prognosis. Fat mass could be a predictive factor for poor prognosis in rheumatoid arthritis because of its association with low- and high-grade inflammation. Objective: To evaluate the correlation between fat mass values and disease activity in patients with rheumatoid arthritis. Materials and methods: This was a cross-sectional study. Eighty female patients diagnosed with rheumatoid arthritis (American College of Rheumatology of 1987) were evaluated. For each one, the evaluation determined fat mass using bioelectrical impedance analysis and disease activity using the Disease Activity Score on 28 joints (DAS28). Results: The mean age was 59.11 ± 9.92 years, with an average disease duration of 14.13 ± 10.13 years; 85% of patients showed a high body fat percentage. Pearson's correlation between DAS28 values and fat mass was r = 0.035 (p = 0.76). Conclusion: The levels of DAS28 showed no correlation with fat mass percentage. Further studies are required to clarify the factors that can modify these levels.

The prothrombotic state in cancer.

Neoplasms result from changes in the mechanisms of growth, differentiation, and cellular death. Cancers are of high clinical relevance due to their prevalence and associated morbidity and mortality. The clinical and biological diversity of cancer depends mainly on cellular origin and degree of differentiation. These changes result from alterations in molecular expression that generate a complex clinical, biochemical, and morphologic phenotype. Although cancer is associated with a hypercoagulable state, few cancers result in a thrombotic event. Many factors influence thrombotic incidence, such as advanced disease, central catheter placement, chemotherapy, neoplasia, and surgery. The pro-coagulant state is associated with anomalies in the vascular wall, blood flow, blood constituents (tissue factor, thrombin), coagulation state, and cell growth factors. Tumor cells perpetuate this phenomenon by releasing tissue factor, inflammatory cytokines, and growth factors. These changes favor cellular activation that gives rise to actions involving coagulation, inflammation, thrombosis, tumor growth, angiogenesis, and tumor metastases. These, in turn, are closely linked to treatment response, tumor aggressiveness, and host survival. Activation of the coagulation cascade is related to these phenomena through molecules that interact in these processes. As such, it is necessary to identify these mediators to facilitate treatment and improve outcomes.

New biomarkers in non-Hodgkin lymphoma and acute leukemias.

Biomarkers play a critical role in the medical care of patients with cancer, including in early detection of the disease, diagnostic accuracy, risk stratification, treatment, and follow-up. Biomarkers in hematological malignancies can support the redefinition of the diagnosis and adjustments in the treatment plan. Biomarkers can be classified into 4 categories: (1) protein antigens, (2) cytogenetic abnormalities, (3) genetic polymorphisms, and (4) gene expression. Efforts in genomics, proteomics, and metabolomics to observe new biomarkers that contribute to the development of clinical medicine with greater precision in the strategies that improve prevention, diagnosis, and treatment of patients with malignant hematological disease. New biomarkers should accomplish several issues such as the biological plausibility, methodology used, analytical validation, intellectual property registry, and legal framework of application. This knowledge should be transferred to health professionals who can carry out the process of its implementation in clinical practice.