Community‐acquired respiratory viral infections (CARV) significantly impact patients with hematological malignancies (HM), leading to high morbidity and mortality. However, large‐scale, real‐world data on CARV in these patients is limited. This study analyzed data from the EPICOVIDEHA‐EPIFLUEHA registry, focusing on patients with HM diagnosed with CARV during the 2023–2024 autumn–winter season. The study assessed epidemiology, clinical characteristics, risk factors, and outcomes. The study examined 1312 patients with HM diagnosed with CARV during the 2023–2024 autumn–winter season. Of these, 59.5% required hospitalization, with 13.5% needing ICU admission. The overall mortality rate was 10.6%, varying by virus: parainfluenza (21.3%), influenza (8.8%), metapneumovirus (7.1%), RSV (5.9%), or SARS‐CoV‐2 (5.0%). Poor outcomes were significantly associated with smoking history, severe lymphopenia, secondary bacterial infections, and ICU admission. This study highlights the severe risk CARV poses to patients with HM, especially those undergoing active treatment. The high rates of hospitalization and mortality stress the need for better prevention, early diagnosis, and targeted therapies. Given the severe outcomes with certain viruses like parainfluenza, tailored strategies are crucial to improving patient outcomes in future CARV seasons.

Thrombosis is a critical complication in lymphomas, driven by chronic inflammation. To observe this systemic mechanism, we evaluated inflammatory cytokines, neutrophil and monocyte activation, and platelet function in diffuse large B-cell lymphoma (DLBCL), follicular lymphoma (FL), and Hodgkin lymphoma (HL), with and without thrombosis using ELISA and flow cytometry according to laboratory and clinical data. Interleukin-1β was elevated across lymphomas and inversely correlated with the Khorana score for venous thromboembolism, while increased tumor necrosis factor-alpha (TNF-α) was inversely associated with the International Prognostic Index (IPI) in thrombosis-associated lymphomas. Neutrophil activation was increased in DLBCL, while elevated neutrophil extracellular traps (NETs) biomarkers were inversely consistent with thrombosis and the ThroLy score. NETs were elevated in HL. Classical monocytes were increased in all lymphoma subtypes, with intermediate and tissue factor (TF)-carrying monocytes elevated in DLBCL and HL. Platelet activation was pronounced, with platelet–monocyte aggregates and platelet-associated TF elevated in DLBCL and FL but not HL. P-selectin was increased in lymphomas with thrombosis, aligned with Khorana and ThroLy scores, and reflected clinical stage while inversely correlating with IPI in non-thrombotic lymphomas. These findings highlight distinct thromboinflammatory mechanisms across lymphoma subtypes, providing insights into biomarkers for thrombosis risk and therapeutic targets in lymphoma management.

INTRODUCTION: The prevalence of thrombotic complications in lymphoma patients ranges from 1.5% up to 59.5%. Lymphoma patients have a 10-fold higher risk for the development of venous thrombosis than patients with lung and gastrointestinal cancers. The pathogenesis of thromboembolic disease in hematological malignancies is complex and multifactorial and can be due to the underlying disorder or related to therapy. A number of biomarkers are associated with the occurence of VTE in cancer patients. Biomarkers reflect activation of coagulation and increased inflammatory potential. This study aimed to profile hemostatic and inflammatory biomarkers in patients with Hodgkin lymphoma, non-Hodgkin lymphoma, and chronic lymphocytic leukemia/ small lymphocytic lymphoma. METHODS: Citrated plasma samples were collected from lymphoma patients (n=96) under an IRB approved protocol Clinic for hematology, Lymphoma Center, University of Belgrade in Serbia. Samples were shipped to Loyola University Chicago and analyzed in batches via commercially available ELISA kits to profile biomarkers of coagulation activation and inflammation. Markers in Coagulation Activation: von Willebrand Factor (vWF), Factor XIIIa, Protein S, β₂Glycoprotein I (β₂GPI), D-dimer, Microparticles (MP), Urokinase-type Plasminogen Activator Antigen (uPA), Fibronectin. Markers of Inflammation included: Human Tumor Necrosis Factor- α (TNF- α), C-Reactive Protein (CRP), Plasminogen Activator Inhibitor Type 1 (PAI-1). The lymphoma patient population for each biomarker was compared to normal human pooled plasma (repeated 3 times for each biomarker), which consisted of 25 male and 25 females. RESULTS: The mean patients' age was 56 years (range, 19-80 years); 52.4% were males. Most patients were newly diagnosed and had advanced stage disease. A total of 42 patients (43.8%) had high-grade NHL; 17 (17.7%) had low-grade NHL; 24 (25.0%) had HLL; 7(7.3%) had HL; 6 (6.3%) had other forms. Lymphoma patients had significantly dysregulated following markers of coagulation: vWF, β₂GPI, D-dimer, MP, uPA, and Fibronectin (Figure 1) (p<0.001 for all in comparison to controls). TNF-α and CRP as markers of inflammation were also significantly increased in lymphoma patients (Figure 1) (p<0.001 for both in comparison to controls). In lymphoma population 12 patients had thrombosis. Patients with thrombosis had significantly higher Factor XIIIa in comparison to lymphoma patients without thrombosis (106±9 vs. 85±256; p<0.001). CONCLUSION: Hemostatic dysregulation and inflammation is present in lymphoma patients, which may reflect increased thrombogenic potential. Further studies are required to link clinical data and biomarker levels, with special emphasis on the involvement of FXIII in the development of thrombotic events in lymphoma patients. Biomarker profiling of lymphoma patients will also help in the understanding of the pathophysiologic mechanisms involved in the observed thrombotic complications and differentiating the sub-groups.

Dysregulated expression of the long non-coding RNA MALAT1 has been implicated in the pathogenesis and progression of a variety of cancers, including hematological malignancies, but it has been poorly investigated in chronic lymphocytic leukemia (CLL). In this study, the expression of MALAT1 was measured using a quantitative reverse-transcriptase polymerase chain reaction in the peripheral blood mononuclear cells of 114 unselected, newly diagnosed CLL patients in order to analyze its association with clinical, laboratory, and molecular patients’ characteristics at diagnosis, as well as its prognostic relevance. MALAT1 was found to be upregulated in CLL patients in comparison to healthy controls, and expression levels were not related to age, leukocyte, lymphocyte and platelet count, serum β2-microglobulin, and IGHV somatic hypermutational status. On the other hand, high MALAT1 expression was associated with several favorable prognostic markers (high hemoglobin, low serum lactate dehydrogenase, earlier clinical stages, CD38-negative status), but also with unfavorable cytogenetics. Furthermore, an association between high MALAT1 levels and longer time to first treatment and overall survival in IGHV-unmutated CLL subtype was observed. In summary, our results imply that high MALAT1 expression at diagnosis may be a predictor of better prognosis and point to MALAT1 expression profiling as a candidate biomarker potentially useful in clinical practice.

Thrombosis is a common complication in cancer patients, with a substantial impact on morbidity and mortality. Diffuse large B-cell lymphoma (DLBCL) and other aggressive lymphomas carry a high venous thromboembolism (VTE) risk. Extracellular vesicles (EVs) have gained attention in recent research as a new potential biomarker for VTE development. To determine the profile and association of EVs with VTE in patients with DLBCL, we conducted a prospective cohort study on 62 patients diagnosed with DLBCL. A total of 11 patients (17.7%) developed VTE. The concentrations of platelet-derived EVs (PEVs), E-selectin+ EVs, P-selectin+ EVs, tissue factor (TF)-positive/CD20+ EVs, TF−/CD19+ EVs, TF−/CD45+ EVs, and TF−/CD20+ EVs were significantly higher in DLBCL patients compared to healthy controls. In contrast, the concentration of TF− PEVs was significantly lower in DLBCL patients compared to healthy controls. No statistically significant differences were observed in the concentrations of the EV profiles among the DLBCL patients with and without VTE. Using Cox regression analysis, we found that none of the observed EV populations demonstrated an association with overall survival (OS). In conclusion, patients with DLBCL have elevated concentrations of distinct EV populations—in particular, PEVs, E-selectin EVs, P-selectin EVs, TF+/CD20+ EVs, and TF− DLBCL/B-cell EVs (CD19, CD20, CD45)—compared to healthy controls. DLBCL patients exhibit a specific EV profile, which is not significantly related to the risk of VTE and OS outcomes. Our data provide an intriguing insight into EV profiles in patients with DLBCL. Additional research is needed to elucidate these findings further.