Quinton, Sophia

AbstractIdentifying factors secreted by multiple myeloma (MM) cells that may contribute to MM tumor biology and progression is of the utmost importance. In this study, hepatoma-derived growth factor (HDGF) was identified as a protein present in extracellular vesicles (EVs) released from human MM cell lines (HMCLs). Investigation of the role of HDGF in MM cell biology revealed lower proliferation of HMCLs following HDGF knockdown and AKT phosphorylation following the addition of exogenous HDGF. Metabolic analysis demonstrated that HDGF enhances the already high glycolytic levels of HMCLs and significantly lowers mitochondrial respiration, indicating that HDGF may play a role in myeloma cell survival and/or act in a paracrine manner on cells in the bone marrow (BM) tumor microenvironment (ME). Indeed, HDGF polarizes macrophages to an M1-like phenotype and phenotypically alters naïve CD14+ monocytes to resemble myeloid-derived suppressor cells which are functionally suppressive. In summary, HDGF is a novel factor in MM biology and may function to both maintain MM cell viability as well as modify the tumor ME.

Abstract Aberrant over production of monoclonal immunoglobulin is a classic feature of the plasma cell (PC) malignancy multiple myeloma (MM). At diagnosis and more frequently upon relapse, some MM patients present with increased production of monoclonal free light chain (FLC) without a corresponding increase in intact immunoglobulin. This phenomenon is commonly referred to as light chain escape (LCE). As previously described (Walters et al. 2018, Experimental Hematology, Vol 57 p42-49), we have established a monoclonal IgA kappa MM cell line, designated as MC-B11/14, from the bone marrow (BM) aspirate of a 46 year old man diagnosed with MM. This cell line is non-hyperdiploid and possesses an 11;14 chromosomal translocation. Given our long standing interest in immunoglobulin function and secretion, we used CRISPR technology to knock out IgA heavy chain production in an effort to create a model of LCE. Successful knockout (KO) of IgA expression was demonstrated by immunofluorescence, flow cytometry, and western blot. As expected, secretion of intact IgA was undetectable in the MC-B11/14IgA- cells. Notably, no significant difference in morphology, phenotypic markers, or growth patterns was observed between the MC-B11/14WT and MC-B11/14IgA- cells. Examination of drug sensitivity between the MC-B11/14WT and MC-B11/14IgA- cells revealed that the response to pomalidomide treatment was similar between the MC-B11/14WT and MC-B11/14IgA- cells; however, the MC-B11/14IgA- cells were found to be more resistant to treatment with bortezomib. Given that increased bortezomib resistance was the only significant difference detected between the MC-B11/14WT and MC-B11/14IgA- cell lines in our initial study, we decided to take a metabolomics approach to examine whether loss of IgA heavy chain expression may alter cellular metabolism. Metabolomics or the profiling of small molecules is a powerful tool to characterize the metabolome of cells/biological systems and has proven to be useful in identifying alterations that occur in malignancy. In this regard, we employed pathway-specific targeted LC-MS/MS protocols in order to examine over 330 metabolites in 35 metabolic pathways in MC-B11/14WT and MC-B11/14IgA- methanolmetabolite extracts using an Agilent 1290 UPLC-6490 QQQ-MS liquid chromatography mass-spectrometer. Of the 330 metabolites examined, 28 were found to be significantly more abundant in the MC-B11/14IgA- cells compared to MC-B11/14 WT cells while 79 were found to be significantly less abundant. In general, the majority of significant metabolic differences between the two cell lines were found to involve metabolites from various amino acid synthesis pathways. More specifically, the MC-B11/14 WT cell line was found to possess significantly more citraconic acid, anthranilic acid, and homovanillic acid. By contrast, further analysis revealed that the MC-B11/14IgA- cell line was found to possess an 11.5 fold increase of the metabolite 2-hydroxyglutarate (2-HG). 2-HG has previously been shown to act as a competitive antagonist of α-ketoglutarate (α-KG), which results in the inhibition of α-KG-dependent dioxygenases including the JmjC domain-containing histone demethylases (KDMs) and the ten-eleven translocation (TET) family of DNA hydroxylases. Notably, these proteins are known to play a role in histone and DNA demethylation, respectively. Taken together, these data suggest that MM cells that have undergone LCE may also possess an accumulation of 2-HG which could lead to altered patterns of histone and DNA methylation. Given that MM patients who relapse with LCE typically have a poorer prognosis, further investigation of metabolomics in light-chain only expressing cell lines and patients who have relapsed with LCE is warranted. Disclosures No relevant conflicts of interest to declare.

Abstract Intercellular communication between multiple myeloma (MM) cells and the normal bone marrow stroma leads to a modification of the bone marrow microenvironment, which favors tumor progression. New developments in extracellular vesicle (EV) research suggest that this diverse population of vesicles, released by cancer cells including MM cells, express transmembrane proteins and carry cargo that can modify recipient cells in myriad ways. In particular, tumor-derived EVs have been shown to create permissive microenvironments that lead to metastatic colonization by circulating tumor cells. As we have previously shown that MM EVs can enhance proliferation of recipient MM cells, we hypothesize that MM EVs can potentially play a much larger role in MM development and progression. In order to understand the scope of potential EV roles in MM, we executed a comprehensive proteomic analysis of the cargo of MM EVs. We isolated EVs from patient derived MM cell lines that represent the most common genetic variants of this tumor, and used in vitro generated plasma cells (IVPCs) as a reference population. In a first pass analysis, we selected proteins that were expressed ≥3 fold higher in MM EVs than in IVPC EVs, and this analysis identified 306 proteins. Of interest, included in the 306 differentially proteins were several involved in the regulation of cell adhesion such as members of the a disintegrin and metalloprotease domain (ADAM8, 9, 10, 13, 15 and 22) family, which are also associated with inhibition of cell proliferation. Moreover, CEACAM1, PTPRK, and CDH2, which are also linked to cellular adhesion, were also expressed at a higher level in MM EVs. Various proteins linked to myeloma cell biology were likewise found to be over-represented in MM EVs, and these include BCMA, ITGAV, ITGB5, IL6ST (gp130), CD276 (B7-H3), and CD28. As we are most interested in biologically relevant and actionable proteins present uniquely in MM derived EVs, we filtered from our data proteins that were also present in EVs from IVPCs. We further filtered out proteins known to be present in EVs from normal cells. This filtering strategy reduced the number of interesting candidates to 8, which included CD28, MET, TRKC, and ADAM15. Thus far, we have confirmed the presence of these 4 proteins in a panel of MM EVs, and we are currently in the process of validating additional candidate cargo proteins for their biological role in enhancing tumor cell proliferation and/or protection from apoptosis. In summary, EV proteomic analysis of cell lines representing MM genetic subtypes can lead to the identification of biologically relevant proteins transported systemically by EVs as well as suggest novel biomarkers that are easily detectable in plasma and may permit earlier recognition of disease progression in patients with MM. Disclosures No relevant conflicts of interest to declare.