Proteome alterations in peripheral immune cells of DLBCL patients and evidence of cancer extracellular vesicles involvement

Diffuse large B-cell lymphoma (DLBCL) is an aggressive disease and a frequent form of non-Hodgkin lymphoma. Given the primary localization of DLBCL and the effect of tumors on the systemic immune response, we investigated the proteome of DLBCL patients' and healthy donors (HDs') peripheral immune cells (PICs). Since the ubiquitin-proteasome system has a vital role in proteome regulation and immune cells' functions, this study also explores the potential impact of DLBCL secretome on the polyubiquitination level in PICs. PICs from DLBCL patients and HDs were isolated and analyzed by mass spectrometry-based proteomics. The analysis resulted in 135 down and 51 upregulated proteins (adjusted p-value <0.05). Unsupervised principal component analysis revealed distinct proteomic profiles between DLBCL and HDs. Functional enrichment analysis for comparison between DLBCL and HDs-PICs proteome identified immune-related pathways such as innate immune system, specifically neutrophil degranulation, Fcγ receptor-dependent phagocytosis, and JAK-STAT signaling after IL-12 stimulation as downregulated. Proteomics analysis of DLBCL-PICs also showed dysregulation of proteostasis factors. This prompted the investigation of the effect of tumor secretome on viability and polyubiquitination level in mononuclear immune cells. Therefore, human HD peripheral blood mononuclear cells (PBMCs) were cultured in the presence of DLBCL cell line-derived soluble factors, small-EVs, and large-EVs in vitro. Our results revealed that exposure of mainly small-EVs, and large-EVs to HD PBMCs increased the polyubiquitination in PBMCs and decreased PIC viability. These findings suggest impaired immune responses in DLBCL-PICs, with tumor secretome-inducing polyubiquitination and reduced PIC viability.

Critical Role of Extracellular Vesicles in Diffuse Large B-Cell Lymphoma; Pathogenesis, Potential Biomarkers, and Targeted Therapy-A Narrative Review

Diffuse large B-cell lymphoma (DLBCL) is the most common subtype of non-Hodgkin's lymphoma, characterized by its aggressive nature and heterogeneity. Despite significant advances in understanding DLBCL pathogenesis, there is still a need to elucidate the intricate mechanisms involved in disease progression and identify novel therapeutic targets. Extracellular vesicles (EVs), including exosomes and microvesicles, have emerged as crucial mediators of intercellular communication in various physiological and pathological processes, including cancer. In recent years, evidence has suggested that EVs play a vital role in DLBCL biology by facilitating the exchange of genetic material, especially miRNAs, and proteins and lipids between tumor cells, immune cells, and the tumor microenvironment. We summarize and discuss the biological functions of EVs in DLBCL and their effects on the tumor microenvironment, highlighting their influence on DLBCL pathobiology, immune evasion, angiogenesis, and drug resistance. We also investigated EVs' diagnostic and prognostic potential as circulating biomarkers in DLBCL, emphasizing their utility in the non-invasive monitoring of the disease status and treatment response. Understanding the complex interplay between EVs and DLBCL may open up new avenues for personalized medicine, improve patient stratification, and facilitate the development of innovative therapeutic interventions in this devastating hematological malignancy.

Potential Pathogenic Impact of Cow’s Milk Consumption and Bovine Milk-Derived Exosomal MicroRNAs in Diffuse Large B-Cell Lymphoma

Epidemiological evidence supports an association between cow’s milk consumption and the risk of diffuse large B-cell lymphoma (DLBCL), the most common non-Hodgkin lymphoma worldwide. This narrative review intends to elucidate the potential impact of milk-related agents, predominantly milk-derived exosomes (MDEs) and their microRNAs (miRs) in lymphomagenesis. Upregulation of PI3K-AKT-mTORC1 signaling is a common feature of DLBCL. Increased expression of B cell lymphoma 6 (BCL6) and suppression of B lymphocyte-induced maturation protein 1 (BLIMP1)/PR domain-containing protein 1 (PRDM1) are crucial pathological deviations in DLBCL. Translational evidence indicates that during the breastfeeding period, human MDE miRs support B cell proliferation via epigenetic upregulation of BCL6 (via miR-148a-3p-mediated suppression of DNA methyltransferase 1 (DNMT1) and miR-155-5p/miR-29b-5p-mediated suppression of activation-induced cytidine deaminase (AICDA) and suppression of BLIMP1 (via MDE let-7-5p/miR-125b-5p-targeting of PRDM1). After weaning with the physiological termination of MDE miR signaling, the infant’s BCL6 expression and B cell proliferation declines, whereas BLIMP1-mediated B cell maturation for adequate own antibody production rises. Because human and bovine MDE miRs share identical nucleotide sequences, the consumption of pasteurized cow’s milk in adults with the continued transfer of bioactive bovine MDE miRs may de-differentiate B cells back to the neonatal “proliferation-dominated” B cell phenotype maintaining an increased BLC6/BLIMP1 ratio. Persistent milk-induced epigenetic dysregulation of BCL6 and BLIMP1 expression may thus represent a novel driving mechanism in B cell lymphomagenesis. Bovine MDEs and their miR cargo have to be considered potential pathogens that should be removed from the human food chain.

Lymphoma cell-derived extracellular vesicles inhibit autophagy and apoptosis to promote lymphoma cell growth via the microRNA-106a/Beclin1 axis

Lymphoma is a common malignant tumor globally. Tumor-derived extracellular vesicles (Evs) participate in genetic information exchange between tumor cells. We investigated the role and mechanism of human Burkitt lymphoma cells Raji-derived Evs (Raji-Evs) in lymphoma cells. Effects of Evs on lymphoma cell proliferation, invasion, autophagy, and apoptosis were assessed using Cell Counting Kit-8 method, Transwell assay, laser confocal microscopy, Western blotting, and flow cytometry. microRNA (miR)-106a expression in lymphoma cells was determined using reverse transcription-quantitative polymerase chain reaction and then downregulated in Raji cells and then Evs were isolated (Evs-in-miR-106a) to evaluate its role in lymphoma cell growth. The binding relationship between miR-106a and Beclin1 was verified using RNA pull-down and dual-luciferase assays. Beclin1 was overexpressed in SU-DHL-4 and Farage cells and SU-DHL-4 cell autophagy and apoptosis were detected. The levels of miR-106a and Beclin1 in SU-DHL-4 cells were detected after adding autophagy inhibitors. The tumorigenicity assay in nude mice was performed to validate the effects of Raji-Evs in vivo. Raji-Evs promoted lymphoma cell proliferation and invasion and increased miR-106a. miR-106a knockdown reversed Evs-promoted lymphoma cell proliferation and invasion. miR-106a carried by Raji-Evs targeted Beclin1 expression. Beclin1 overexpression or miR-106a inhibitor reversed the effects of Evs on lymphoma cell autophagy and apoptosis. Autophagy inhibitors elevated miR-106a expression and lowered Beclin1 expression. Raji-Evs-carried miR-106a inhibited Beclin1-dependent autophagy and apoptosis in lymphoma cells, which were further verified in vivo, together with promoted tumor growth. We proved that Raji-Evs inhibited lymphoma cell autophagy and apoptosis and promoted cell growth via the miR-106a/Beclin1 axis.

Extracellular vesicles shed by follicular lymphoma B cells promote polarization of the bone marrow stromal cell niche

Follicular lymphoma (FL) originates in the lymph nodes (LNs) and infiltrates bone marrow (BM) early in the course of the disease. BM FL B cells are characterized by a lower cytological grade, decreased proliferation, and a specific phenotypic and subclonal profile. Mesenchymal stromal cells (MSCs) obtained from FL BM display a specific gene expression profile (GEP), including enrichment for a lymphoid stromal cell signature, and an increased capacity to sustain FL B-cell growth. However, the mechanisms triggering the formation of the medullar FL permissive stromal niche have not been identified. In the current work, we demonstrate that FL B cells produce extracellular vesicles (EVs) that can be internalized by BM-MSCs, making them more efficient to support FL B-cell survival and quiescence. Accordingly, EVs purified from FL BM plasma activate transforming growth factor β-dependent and independent pathways in BM-MSCs and modify their GEP, triggering an upregulation of factors classically associated with hematopoietic stem cell niche, including CXCL12 and angiopoietin-1. Moreover, we provide the first characterization of BM FL B-cell GEP, allowing the definition of the landscape of molecular interactions they could engage with EV-primed BM-MSCs. This work identifies FL-derived EVs as putative mediators of BM stroma polarization and supports further investigation of their clinical interest for targeting the crosstalk between BM-MSCs and malignant B cells.

Potential of the tumor‑derived extracellular vesicles carrying the miR‑125b‑5p target TNFAIP3 in reducing the sensitivity of diffuse large B cell lymphoma to rituximab

Diffuse large B-cell lymphoma (DLBCL) is the most common and aggressive form of non-Hodgkin's lymphoma. Extracellular vesicles (EVs) derived from cancer cells are known to modify the tumor microenvironment. The aim of the present study was to investigate the role of miR-125b-3p carried by EVs in DLBCL in vitro and in vivo. TNFAIP3 expression in patient lesions was measured and the upstream miR that regulates TNFAIP3 was predicted using the starBase database. EVs were isolated from DLBCL cells and identified. DLBCL cells were transfected with pcDNA to overexpress TNFAIP3 or inhibit miR-125b-5p expression, incubated with EVs, and treated with rituximab to compare cell growth and TNFAIP3/CD20 expression. DLBCL model mice were administered EVs, conditioned medium, and rituximab to observe changes in tumor size, volume, and weight. TNFAIP3 was downregulated in patients with DLBCL and its levels further decreased in patients with drug-resistant DLBCL. Overexpression of TNFAIP3 in DLBCL cells enhanced the inhibitory effect of rituximab and increased CD20 expression. miR-125b-5p targeted TNFAIP3. Inhibition of miR-125b-5p enhanced the inhibitory effect of rituximab in DLBCL cells. The EV-carried miR-125b-5p reduced the sensitivity of DLBCL cells to rituximab, which was averted by overexpression of TNFAIP3. EVs reduced the sensitivity of DLBCL model mice to rituximab via the miR-125b-5p/TNFAIP3 axis. The study findings indicate that the tumor-derived EVs carrying miR-125b-5p can enter DLBCL cells and target TNFAIP3, thus reducing the sensitivity of DLBCL to rituximab, which may provide a novel therapeutic approach for DLBCL.

Multi-Omics Data Integration in Extracellular Vesicle Biology-Utopia or Future Reality?

Extracellular vesicles (EVs) are membranous structures derived from the endosomal system or generated by plasma membrane shedding. Due to their composition of DNA, RNA, proteins, and lipids, EVs have garnered a lot of attention as an essential mechanism of cell-to-cell communication, with various implications in physiological and pathological processes. EVs are not only a highly heterogeneous population by means of size and biogenesis, but they are also a source of diverse, functionally rich biomolecules. Recent advances in high-throughput processing of biological samples have facilitated the development of databases comprised of characteristic genomic, transcriptomic, proteomic, metabolomic, and lipidomic profiles for EV cargo. Despite the in-depth approach used to map functional molecules in EV-mediated cellular cross-talk, few integrative methods have been applied to analyze the molecular interplay in these targeted delivery systems. New perspectives arise from the field of systems biology, where accounting for heterogeneity may lead to finding patterns in an apparently random pool of data. In this review, we map the biological and methodological causes of heterogeneity in EV multi-omics data and present current applications or possible statistical methods for integrating such data while keeping track of the current bottlenecks in the field.