ALBERT

Description: Proteasome inhibitors (PIs) are effective against multiple myeloma (MM), but the mechanisms of action and bases of individual susceptibility remain unclear. Recent work linked PI sensitivity to protein synthesis and proteasome activity, raising the question whether different levels of proteasome expression and workload underlie PI sensitivity in MM cells (MMCs). Exploiting human MM lines characterized by differential PI sensitivity, we report that highly sensitive MMCs express lower proteasome levels and higher proteasomal workload than relatively PI-resistant MMCs, resulting in the accumulation of polyubiquitinated proteins at the expense of free ubiquitin (proteasome stress). Manipulating proteasome expression or workload alters apoptotic sensitivity to PI, demonstrating a cause-effect relationship between proteasome stress and apoptotic responses in MMCs. Intracellular immunostaining in primary, patient-derived MMCs reveals that polyubiquitinated proteins hallmark neoplastic plasma cells, in positive correlation with immunoglobulin (Ig) content, both intra- and interpatient. Moreover, overall proteasome activity of primary MMCs inversely correlates with apoptotic sensitivity to PI. Altogether, our data indicate that the balance between proteasome workload and degradative capacity represents a critical determinant of apoptotic sensitivity of MMCs to PI, potentially providing a framework for identifying indicators of responsiveness and designing novel combination therapies.

Description: Proteasome inhibitors (PI) proved to be extremely effective against different types of cancer, particularly against Multiple Myeloma (MM), a frequent and still incurable plasma cell malignancy. Phase II clinical trials showed that more than 50% of MM patients fail to respond to bortezomib, the only PI currently approved for clinical use. However, the mechanisms of action and bases of individual susceptibility to PI remain largely unclear, with no reliable predictor of response identified so far. Recent evidences linking proteasome activity and Ig synthesis to susceptibility to PI suggest that the exquisite sensitivity of MM cells (MMC) to PI might be explained by an imbalance between the efficiency of the ubiquitin (Ub)-proteasome pathway and the demand for proteasome-mediated degradation. We set out to explore this hypothesis both in vitro and ex vivo. To achieve this aim, we employed human MM cell lines characterized by differential apoptotic sensitivity to PI (U266 and RPMI8226, fairly resistant cell lines, versus MM.1S, an extremely sensitive one) and primary, patient derived MMC. In MM cell lines, we found that high apoptotic sensitivity to PI is associated with lower expression of active proteasomes (as assessed by decreased expression of cleaved catalytic subunits and enzymatic assays with fluorogenic substrates in cell extracts), together with higher proteasomal workload (demonstrated by higher proteasome-dependent loss of TCA-insoluble radioactivity in pulse-chase assays). Indeed, MM.1S cells displayed 2–3 times lower proteasomal activity as compared to the more resistant U266 and RPMI8226 cells, both on a per cell basis and upon normalization by protein content. Together with the reduced proteasome capacity, MM.1S cells showed a consistently higher production of client proteins for the Ub-proteasome pathway. Such an increased load appears to be the consequence of a higher production of Rapidly Degraded Polypeptides (RDP). These are newly synthesized proteins which are quickly redirected to proteasome-mediated degradation. The imbalance between proteasomal load and capacity results in remarkable accumulation of poly-Ub proteins at the expense of free Ub (as established by both western blotting and immunofluorescence), unveiling basal proteasome stress in PI-sensitive MMC. In order to establish a causal link between proteasome stress and sensitivity to PI, we pharmacologically modulated either proteasome expression or workload and successfully altered PI-induced apoptosis. As predicted, increasing proteasome workload by means of ER stressors (e.g. tunicamycin, thapsigargin, brefeldin A) dramatically enhances susceptibility to PI, while a raise in proteasomal activity (achieved by exploiting the proteasome stress response, an adaptive mechanism by which mammalian cells induce proteasome biogenesis in response to either decreased proteasome function or increased proteasomal demand), confers marked resistance to PI-induced apoptosis. Having established cause-effect relationships between determinants of proteasome stress and vulnerability to PI in vitro, we then asked if our model could be used to predict responsiveness to PI in MM patients. In keeping with this hypothesis, intracellular immunostaining in primary, patient-derived MMC reveals that accumulation of poly-Ub proteins specifically hallmarks neoplastic plasma cells, indicating that the cancer compartment in MM patients suffers from proteasome stress. Moreover, poly-Ub levels positively correlate with Ig content, both intra- and inter-patient, suggesting a direct effect of Ig synthesis and/or retention on proteasome functional load. Finally, overall proteasome activity of primary MMC inversely correlates with the intrinsic apoptotic sensitivity to PI as assessed ex vivo, providing a rationale for the assessment of this parameter as a potential predictor of the in vivo response to bortezomib or other PI. Altogether, our data indicate that the balance between proteasome workload and degradative capacity represents a critical determinant of apoptotic sensitivity of MMC to PI, providing both a novel predictive tool of potential prognostic value and the framework for novel combination therapies aimed at exacerbating proteasome stress in MM.

Description: Introduction Immune-checkpoint blockade has emerged as an effective therapeutic strategy in solid tumor and in hematologic malignancies, including classical Hodgkin Lymphoma (cHL). cHL represents about 11% of all malignant lymphoma and it is generally highly curable with standard frontline therapies, although about 20% of the patients will relapse or become refractory after initial treatment. The hallmark of cHL is the presence of malignant Hodgkin and Reed-Sternberg Cells (HRS) that represent only a small fraction (about 1%) of the surrounding heterogeneous immune infiltrate. Despite this extensive inflammatory microenvironment, HRS are able to escape immune surveillance using several mechanisms, including the overexpression of PD-1 ligands (PD-Ls) that bind PD-1 on reactive T-cells, inhibiting their activity and proliferation and causing ultimately T-cell exhaustion. The PD-Ls expression is upregulated in a dose-dependent manner by copy number alterations of chromosome 9p24.1, a locus encoding for PD-L1/PD-L2 as well as JAK2, which further enhances PD-Ls expression through JAK2/STAT pathway. Here we present a method for the isolation and the genetic characterization of single purified HRS, which overcomes the limitations posed by the low tumor cellularity of cHL biopsies and gives an estimation of inter-tumor and intra-tumor heterogeneity which may be useful to guide immune treatment selection. Methods FFPE tissue sections from 4 cHL patients were dissociated down to single-cell suspension and stained using anti-CD30 and anti-PD-L1 antibodies. Since CD30 is not expressed exclusively by malignant cells, beyond the positivity to CD30 and PD-L1 HRS were selected according to morphological criteria, such as cell size and the presence of nuclei with ploidy higher than the surrounding lymphocytes. DEPArray™ NxT system (Menarini Silicon Biosystems) was used to isolate single target cells. After recovery, single cells were whole genome amplified (Ampli1™ WGA, Menarini Silicon Biosystems), and genome-wide copy-number alterations (CNAs) profiles were obtained using Ampli1™ LowPass kits (Menarini Silicon Biosystems) on Illumina® and Ion Torrent™ platforms. Results For each patient, at least 8 HRS cells and infiltrating lymphocytes were identified and isolated from lymphoid tissue using DEPArray™ NxT system. Copy-number analyses of recovered cells allowed us to precisely discriminate HRS, characterized by extensive gains and losses, from non-tumor cells, showing flat profiles as expected (Fig.1). Ploidy of HRS was automatically determined, based on best-fitting of profiles with underlying copy number levels. Hierarchical clustering showed that some alterations are highly conserved among patients, e.g. the region containing PD-L1/PD-L2/JAK2 has several copy gains in the majority of malignant cells. Interestingly, these alterations show high variable copy-number levels between different HRS even in the same patient, ranging from few copy-gains to amplifications, suggesting some level of heterogeneity. Different CNAs are also detected in regions containing genes belonging to pathways already known to be altered in cHL, like REL/NFKB and JAK/STAT pathways, which may be involved in the constitutive activation of proliferative and antiapoptotic phenotype of HRS. Conclusion Single HRS sorting combined with low-pass whole genome sequencing offer a valuable tool to uncover genetic alterations hidden by the massive cHL immune infiltrate and to estimate inter-tumor and intra-tumor heterogeneity in cHL patients. Considering that PD-Ls locus amplifications are associated with advanced stages of the disease and with a shorter progression free survival, the analysis of purified HRS could be helpful for patient stratification for the adoption of immune therapy. Disclosures Mangano: Menarini Silicon Biosystems: Employment. Edoardo:Menarini Silicon Biosystems: Employment. Garonzi:Menarini Silicon Biosystems: Employment. Lanzellotto:Menarini Silicon Biosystems: Employment. Papadopulos:Menarini Silicon Biosystems: Employment. Bolognesi:Menarini Silicon Biosystems: Employment. Buson:Menarini Silicon Biosystems: Employment. Ferrarini:Menarini Silicon Biosystems: Employment. Forcato:Menarini Silicon Biosystems: Employment. Fontana:Menarini Silicon Biosystems: Employment. Ceccolini:Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS: Employment. Fabbri:Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS: Employment. Fici:Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS: Employment. Gallerani:Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS: Employment. Simonelli:Menarini Silicon Biosystems: Employment. Medoro:Menarini Silicon Biosystems: Employment. Manaresi:Menarini Silicon Biosystems: Employment.

Description: Introduction: Multiple myeloma (MM) is a malignancy of terminally differentiated plasma cells. The high heterogeneity of MM cells is one of the major cause of disease relapse. Detection of circulating MM cells (CMMC) from peripheral blood is a useful procedure to investigate tumor heterogeneity and provides a painless alternative to the classic bone marrow biopsy to monitor disease progression. Here we demonstrate that the synergy between CellSearch® (CS) and DEPArray™ (DA) technologies can be used to identify, isolate and characterize at the genetic level single and pure CMMCs . Methods: 4.0 ml of peripheral blood samples were obtained from 3 patients with MM. Putative CMMCs were enriched with CS using anti-CD138 or anti-CD138/CD38 as positive selection marker and subsequently stained with CD38-PE, CD19/CD45-APC immunofluorescent probes. Cells detection and enumeration was performed based on the co-localization of nuclei DAPI staining and CD38-PE. Single CMMCs (CD38+/CD19- and CD45-/DAPI+) and White Blood Cells (WBCs: CD38-/CD19+ or CD45+/DAPI+) were then isolated using the DA NxT system. Single cells genomic DNA was amplified using Ampli1™ Whole Genome Amplification (WGA) kit and Illumina®-compatible libraries were obtained using Ampli1™ LowPass kit and a high-throughput, customized automated protocol using Hamilton STARLet Liquid handler. Highly-multiplexed, genome-wide single-cell Low-Pass Copy Number Alteration (LPCNA) analysis was performed using HiSeq 2500 Illumina® platform. Results: CS and DA workflow* enabled the isolation of 215 single CMMC, selected for LPCNA analysis. 42 single WBCs were also included as normal controls. Copy-number profiles of single CMMCs showed relevant gains and losses of chromosomal segments, as result of a high-level genomic instability. Notably, intra-patient CMMCs revealed overall conserved CNA patterns with subclonal alterations, suggesting a certain level of branched tumor evolution. Conversely, a higher degree of heterogeneity in CMMCs CNA profiles was observed among different patients. Interestingly, CNAs detected in all patients are located in regions containing genes involved in cell cycle regulation (MAPK, NOTCH pathways) and cell signaling (IL6R), which might be involved in proliferative processes and immuno-surveillance escape. Conclusion: The combination of CS and DA workflow* with a streamlined automated protocol allowed to obtain hundreds of genomic libraries from pure single CMMCs. The presented workflow constitutes a non-invasive, rapid and high-throughput approach for characterizing MM tumor heterogeneity and progression, suggesting a possible future implementation in clinical applications. *For Research Use Only. Not for use in diagnostic procedures. Disclosures Raspadori: Menarini Silicon Biosystems: Employment. Forcato:Menarini Silicon Biosystems: Employment. Edoardo:Menarini Silicon Biosystems: Employment. Papadopulos:Menarini Silicon Biosystems: Employment. Ferrarini:Menarini Silicon Biosystems: Employment. Del Monaco:Menarini Silicon Biosystems: Employment. Terracciano:Menarini Silicon Biosystems: Employment. Morano:Menarini Silicon Biosystems: Employment. Gross:Menarini Silicon Biosystems: Employment. Bolognesi:Menarini Silicon Biosystems: Employment. Buson:Menarini Silicon Biosystems: Employment. Fontana:Menarini Silicon Biosystems: Employment. Connelly:Menarini Silicon Biosystems, Inc.: Employment, Other: Chief R&D Officer, USA. Simonelli:Menarini Silicon Biosystems: Employment. Medoro:Menarini Silicon Biosystems: Employment. Manaresi:Menarini Silicon Biosystems: Employment.

Description: Background and Objective : Our previous work showed that neutrophils sedimenting on top of red cells after density gradients, defined as high-density neutrophils (HDN) are emerging as pro-tumoral players with immunesuppressive properties, by depleting the surrounding microenvironment from arginine (arg) and tryptophan (trp) through increased expression of arginase (Arg-1) and 2-3 indoleamine deoxygenase (IDO), but little is known about their clinical relevance in Multiple Myeloma (MM). Experimental design : We integrated two distinct unbiased approaches. First, we assessed gene expression profiles (GEP) and functional evaluation of HDN sorted from 60 newly diagnosed MM patients, 30 patients with MGUS, and 30 healthy subjects.. Second, we adopted ultra-high performance liquid and gas chromatography followed by mass spectrometry (UHPLC/GC-MS) on an independent series of 167 samples of bone marrow (BM) and peripheral plasma collected ad hocfrom 125 individuals, comprising newly diagnosed MM, MGUS, smoldering MM, and age-matched healthy volunteers (n=29). Progression-free survival in newly diagnosed MM patients was correlated respectively to HDN functional and expression features or metabolic profiles in the two series. Results : GEP analyses disclosed that, compared to MGUS and HD, MM-HDN showed increased expression of Arg-1, IDO-1 and the angiogenic factor PROK-2/BV8 , confirmed by qRT-PCR and immunofluorescence. Indeed, MM-HDN (but not MGUS- and HD-HDN) revealed immunosuppressive activity in co-cultures with allogeneic T-cells, reverted by the selective Arg-1 inhibitor nor-NOHA. In addition, circulating Arg-1 in serum was higher in MM (169.5 ± 17.6) than MGUS (93.2 ± 10.4, p=0.0028) and healthy subjects (70.1 ± 16.5 ng/ml, p=0.0017). In MM patients there was a progressive increase from ISS stage I through III (p=0.014). High Arg-1 in MM patients' sera at diagnosis predicted clinical outcome after first line therapy, being associated to shorter progression-free survival (respectively 22.4 months versus unreached median, p=0.01). Metabolic profiling independently identified the same immunosuppressive Arg-1-urea-arginine (arg) and tryptophan (trp)-kinurenine-IDO pathways, with arg and trp significantly reduced along MM evolution. Lower levels of arg were associated to shorter PFS (37.2 versus 17.6 months, p=0.023). We then tested if aminoacid depletion (arg and trp) favors PCs growth. When exposed to trp-free or arg-free medium, human MM cell lines expressed more CHOP, p62, m-TOR and Blimp-1 (markers respectively of autophagy induction and immunoglobulin production); conversely, p62 silencing reduced Blimp-1, confirming the important role of p62-dependent mechanism in supporting PCs fitness. Conclusion : In MM, HDN are immunosuppressive due to increased Arg-1 and IDO expression. We propose the arginine/Arg-1 axis as a novel potential biomarker for MM prognosis. Disclosures Ciceri: MolMed SpA: Consultancy.

Description: Abstract 3985 Multiple myeloma is a malignancy of plasma cells, which grows at multiple foci in the bone marrow, secretes monoclonal immunoglobulins, and typically induces skeletal destruction, hypercalcemia, anemia, and renal failure. Although it remains an incurable cancer, novel therapeutic regimens have improved overall survival in the last decade. Multiple myeloma originates from post germinal center, terminally differentiated B lymphocytes through a multi-step process involving early and late genetic changes. Multiple myeloma is preceded by monoclonal gammopathy of undetermined significance (MGUS), a frequent age-progressive premalignant expansion of bone marrow plasma cells that behave benignly despite the presence of most myeloma-specific genetic abnormalities. Indeed, development and progression of multiple myeloma are believed to rely on vicious interactions with the bone marrow environment, offering a paradigm to investigate the bone-cancer relationship. In particular, bone and stromal cells are known to be diverted by cancer cells through altered cytokine circuitry. The resulting enhanced osteoclastogenesis and neoangiogenesis, and reduced osteoblast differentiation and activity sustain cancer cell survival, proliferation, migration and chemoresistance. Such crucial interactions, however, have only partially been elucidated in their complexity, dynamics and exact role in disease evolution. A better knowledge of this interplay, still elusive, could help identify prognostic markers, pathomechanisms, and therapeutic targets for future validation. Aiming to achieve an unbiased, comprehensive assessment of the extracellular milieu during multiple myeloma genesis and progression, we performed a metabolomic analysis of patient-derived peripheral and bone marrow plasma by ultra high performance liquid and gas chromatography followed by mass spectrometry. By feature transformation-based multivariate analyses, metabolic profiling of both peripheral and bone marrow plasma successfully discriminated active disease from control conditions (health, MGUS or remission). Moreover, both central and peripheral metabolic scores significantly correlated with bone marrow plasma cell counts. Significant changes in the peripheral metabolome were found to be associated with abnormal renal function in the subset of myeloma patients. Noteworthy, however, renal dysfunction-associated features failed to independently predict disease load, while non-overlapping disease vs. control analyses consistently identified a number of metabolites associated with disease. Among these, increased levels of the C3f-derived peptide, HWESASLL, and loss of circulating lysophosphocholines emerged as hallmarks of active disease. In vitro tests on myeloma cell lines and primary patient-derived cells revealed a previously unsuspected direct trophic role exerted by lysophosphocholines on malignant plasma cells. Altogether, our data demonstrate that metabolomics is a powerful approach suitable for studying the complex interactions of multiple myeloma with the bone marrow environment and general metabolism. This novel strategy holds potential to identify unanticipated markers and pathways involved in development and progression of multiple myeloma. Disclosures: No relevant conflicts of interest to declare.

Description: Background. We recently reported that Circulating Endothelial Cell (CEC) count changes represent a promising marker to monitor endothelial damage in patients undergoing allogeneic hematopoietic stem cell transplant (allo-HSCT), potentially becoming a valuable tool in the diagnostic definition of GVHD. Besides confirming an increase of CEC counts at GVHD onset, we repeatedly documented at time of engraftment statistically significant higher numbers of CEC in patients who will not manifest GVHD in comparison to patients in which GVHD will be diagnosed (Transplantation 2014,98:706-12; Bone Marrow Transplantation 2017,52:1637-42; Scientific Reports 2019,9:1-12). Recent knowledges in organ transplant pointed out that endothelial cells from the grafted organ, besides being a continuous source of alloantigens, can downregulate alloreactivity exerting tolerogenic responses. By inference to the allo-HSCT field, it could be envisaged that presence of donor CEC could induce protective effects on alloreactivity. Methods. We planned a study to test the hypothesis that at time of engraftment, CEC present in peripheral blood (PB), besides coming from cells shedding from patient vasculature, could partly belong to donor, originating from the cellular graft. Therefore, in an exploratory set, we performed FISH analysis on flowcytometry-sorted CEC (CD45neg/CD34bright/CD146pos, Lyotube #623920, BD Biosciences) (n=3) and on whole PB derived culture-expanded CEC (n=3) (EGM-2 BulletKit, Lonza), obtained at engraftment in sex-mismatched allo-HSCT. In the confirmatory set (n=15), single CEC were recovered from PB, at engraftment (T1) and at 90 days (T2) after allo-HSCT, through the DEPArrayTM technology (Menarini Silicon Biosystems), after preliminary bulk separation step carried out with the CellSearch® System. Single recovered CEC was whole genome amplified (Ampli1™ WGA Kit) and short tandem repeat (STR) profile determined (Ampli 1TM STR kit) on each single CEC. To confirm host/donor origin, single CEC STR profile was compared to that determined on patient and donor cells before allo-HSCT. Moreover, donor CEC presence was evaluated by CISH analysis on formaline fixed and paraffin-embedded biopsy sections obtained at least three months after sex mismatched allo-HSCT. Results. By positive findings of the exploratory set, we proved, at the single cell level in the confirmatory set, the presence of donor CEC at engraftment (T1) in 4 out of 15 patients (Table 1). Of them, 2 did not manifested GVHD, despite a GVHD risk score of 2, and the other 2 presented GVHD grade I. On the contrary, among the 10 patients in whom no donor CEC were detected, 6 experienced GVHD grade II-III, while 4 did not manifested GVHD, despite a 1-3 GVHD risk score. Conclusions. Our data represent the proof of principle that donor CEC may flow in host PB early on from hematopoietic recovery and seldom persist thereafter at steady-state conditions, being potentially embedded in host vascular wall. These puzzling findings suggest that neovascularization takes place in parallel with hematopoietic engraftment and could provide further clues on shedding light on tissue tolerance in the context of GVHD, opening up paradoxical scenarios on the protective role potentially played by donor CEC. Disclosures Fontana: Menarini Silicon Biosystem: Employment. Rotta:BD Biosciences Italia: Employment. Manaresi:Menarini SIlicon Biosystem: Employment, Membership on an entity's Board of Directors or advisory committees.