Chesi, Marta

Summary: While the current approach to precursor hematologic conditions is to “watch and wait,” this may change with the development of therapies that are safe and extend survival or delay the onset of symptomatic disease. The goal of future therapies in precursor hematologic conditions is to improve survival and prevent or delay the development of symptomatic disease while maximizing safety. Clinical trial considerations in this field include identifying an appropriate at-risk population, safety assessments, dose selection, primary and secondary trial endpoints including surrogate endpoints, control arms, and quality-of-life metrics, all of which may enable more precise benefit–risk assessment.

Recent therapeutic advances have significantly improved the outcome for patients with multiple myeloma (MM). The backbone of successful standard therapy is the combination of Ikaros degraders, glucocorticoids, and proteasome inhibitors that interfere with the integrity of myeloma-specific superenhancers by directly or indirectly targeting enhancer-bound transcription factors and coactivators that control expression of MM dependency genes. T cell engagers and chimeric antigen receptor T cells redirect patients’ own T cells onto defined tumor antigens to kill MM cells. They have induced complete remissions even in end-stage patients. Unfortunately, responses to both conventional therapy and immunotherapy are not durable, and tumor heterogeneity, antigen loss, and lack of T cell fitness lead to therapy resistance and relapse. Novel approaches are under development to target myeloma-specific vulnerabilities, as is the design of multimodality immunological approaches, including and beyond T cells, that simultaneously recognize multiple epitopes to prevent antigen escape and tumor relapse.

PURPOSE Outcomes for patients with newly diagnosed multiple myeloma (NDMM) are heterogenous, with overall survival (OS) ranging from months to over 10 years. METHODS To decipher and predict the molecular and clinical heterogeneity of NDMM, we assembled a series of 1,933 patients with available clinical, genomic, and therapeutic data. RESULTS Leveraging a comprehensive catalog of genomic drivers, we identified 12 groups, expanding on previous gene expression–based molecular classifications. To build a model predicting individualized risk in NDMM (IRMMa), we integrated clinical, genomic, and treatment variables. To correct for time-dependent variables, including high-dose melphalan followed by autologous stem-cell transplantation (HDM-ASCT), and maintenance therapy, a multi-state model was designed. The IRMMa model accuracy was significantly higher than all comparator prognostic models, with a c-index for OS of 0.726, compared with International Staging System (ISS; 0.61), revised-ISS (0.572), and R2-ISS (0.625). Integral to model accuracy was 20 genomic features, including 1q21 gain/amp, del 1p, TP53 loss, NSD2 translocations, APOBEC mutational signatures, and copy-number signatures (reflecting the complex structural variant chromothripsis). IRMMa accuracy and superiority compared with other prognostic models were validated on 256 patients enrolled in the GMMG-HD6 (ClinicalTrials.gov identifier: NCT02495922 ) clinical trial. Individualized patient risks were significantly affected across the 12 genomic groups by different treatment strategies (ie, treatment variance), which was used to identify patients for whom HDM-ASCT is particularly effective versus patients for whom the impact is limited. CONCLUSION Integrating clinical, demographic, genomic, and therapeutic data, to our knowledge, we have developed the first individualized risk-prediction model enabling personally tailored therapeutic decisions for patients with NDMM.

Introduction Despite the remarkable success of combination treatments, multiple myeloma (MM) still poses significant challenges, with a high percentage of patients experiencing relapse over time. Additional metabolic alterations are found in relapsed and refractory MM; however, their impacts have not been fully elucidated. Expression of thyroid hormone receptor interactor 13 (TRIP13) has been identified by Gene Expression Profile (GEP)-70 to correlate with poor prognosis in MM. TRIP13 is an AAA ATPase that regulates the spindle assembly checkpoint in mitosis. Based on GEP data from 34 paired baseline and relapse samples, TRIP13 continuously increased from baseline to first and to second relapse. Overexpression of TRIP13 induces bortezomib resistance. In this study, we aimed to investigate how TRIP13 might regulate MM cell metabolism and to use this information to develop a novel combination strategy to overcome MM resistance. Methods Knockout (KO) of TRIP13 in OPM2 and MM1.S cells was generated by dual gRNAs CRISPR-Cas9 editing deleting a fragment between exon 4 and exon 5. Cell growth curves and response to bortezomib were recorded in the control and TRIP13-KO cells. Metabolomics was performed to reveal cellular metabolic alterations. Seahorse analysis was used to test the mitochondrial stress and glycolysis stress. To investigate whether TRIP13 KO promotes ferroptosis, an intracellular iron-dependent cell death characterized by the accumulation of lipid peroxides, we applied C11-BODIY staining after treatment with Erastin, a ferroptosis-inducer. Expression levels of cyclooxygenase 2 (encoded by PTGS2, a hallmark of ferroptosis), cystine transporter (xCT), and intracellular glutathione peroxidase 4 (GPX4) were analyzed. In addition, the protein levels of iron metabolic molecules, including iron importer transferrin receptor protein 1 (TFRC), iron exporter ferroportin 1 (FPN1), ferritin heavy chain 1 (FTH1), and nuclear receptor coactivator 4 (NCOA4) were assessed. To study whether TRIP13 KO delays MM progression in an immune-competent MM mouse model, Vκ12653 murine MM cells were genetically modified by CRISPR-mediated TRIP13-KO and then injected into C57BL/6 mice. Mouse survival was monitored. Results The cell-doubling rate of TRIP13-KO cells was decreased by 50% compared to control cells. After 24 hours of treatment with 5 nM bortezomib, cell viability of TRIP13-KO cells decreased by 31% compared with control cells. The metabolomic studies revealed that TRIP13-KO OPM2 and MM1.S cells both had significantly decreased intracellular L-serine (FC = 0.57) but increased pyruvate (FC = 1.79), citric acid (FC = 1.76), and isocitric acid (FC = 1.64), indicating TRIP13 may regulate serine metabolism, mitochondrial function, and cellular redox balance. Seahorse analysis indicated that TRIP13-KO MM cells showed decreased glycolysis (decreased by 30%, p < 0.001) and glycolytic capacity (decreased by 33%, p < 0.001) while oxidative phosphorylation showed little change. Moreover, lipid peroxidation and PTGS2 were increased in TRIP13-KO cells after Erastin treatment, indicating that these cells were more vulnerable to ferroptosis. Mechanistically, inhibition of TRIP13 decreased GPX4, FPN1, FTH1, and increased NCOA4, while overexpression of TRIP13 showed the opposite changes, suggesting that targeting TRIP13 sensitizes MM cells to ferroptosis by impairing cellular redox balance and increasing the labile-iron pool. Lastly, TRIP13-KO significantly prolonged mouse survival in the Vκ12653 mouse model (median survival: TRIP13-KO 93 days vs. Control 60.5 days, p < 0.001). Conclusion Our study revealed that TRIP13 plays a critical role in regulating MM cell metabolism. By suppressing TRIP13, we observed increased sensitivity of MM cells to bortezomib, leading to enhanced ferroptosis-mediated cell death and prolonged mouse survival. These findings strongly suggest that targeting TRIP13 could be a promising approach in MM therapy. Moving forward, our future investigations will concentrate on unraveling the precise molecular mechanisms underlying TRIP13-mediated alterations in cell metabolism. Additionally, we plan to explore the potential synergistic effects of TRIP13 inhibition in combination with metabolic targeted treatments, such as venetoclax, to further enhance therapeutic outcomes in MM.

Introduction Multiple myeloma (MM) patients often become unresponsive to immunomodulatory drugs (IMiDs) over time. Research has indicated that the cellular ability to counteract oxidative stress plays a crucial role in determining the sensitivity to IMiDs in MM. This study aims to comprehend the metabolic pathways responsible for MM's antioxidative capability and develop new treatments to augment the effectiveness of IMiDs. Methods We experimented using MM cells to investigate how different nutrient conditions affect cell proliferation and drug response. We utilized stable isotope-labeled amino acids and mass spectrometry to analyze the metabolites in these cells. We evaluated cell viability through the MTT assay, the CellTiter-Glo® Luminescent Assay, and direct cell counting. Furthermore, we conducted Western blots to measure the levels of various proteins expressed in MM cells grown under different nutrient conditions. To create CRBN knockout cells, we employed the CRBN CRISPR/Cas9 KO plasmid, and for the overexpression of CRBN in MM cells, we used a lentivirus system. Results Our research findings reveal that the production of cellular cysteine enhances the cell's ability to counteract oxidative damage, leading to resistance to IMiDs even with the presence of the wild-type CRBN protein. However, MM cells not producing enough cysteine rely on consuming extracellular cystine, which increases sensitivity to lenalidomide and reduces antioxidative capacity. Lenalidomide-sensitive cells acquire more cystine from the extracellular environment than resistant cells. The analysis of cysteine uptake in various MM cell lines using C13-labeled cysteine revealed that the lenalidomide-sensitive cell line, OCIMY5-CRBN, consumed more cysteine from the media, and the presence of L-glutamine further increased this uptake. Lenalidomide treatment increased the catabolism of cysteine into taurine in sensitive cell lines, confirming the link between lenalidomide's molecular action and cysteine catabolism. Our study also identified that lenalidomide treatment led to an accumulation of CDO protein, which adds molecular oxygen to cysteine, transforming it into cysteine sulfinic acid. Our study suggests that CRBN may play a role in maintaining intracellular CDO protein levels, and the accumulation of CDO protein induced by lenalidomide is the molecular factor responsible for cystine catabolism and sensitivity to IMiDs in multiple myeloma. We found that by inhibiting intracellular cysteine biosynthesis, we could improve the effectiveness of IMiD against MM. One drug that can achieve this is 5-aza-2-deoxycytidine (DAC), which acts as a DNA methylation inhibitor. Additionally, combining DAC with IMiDs improves their effectiveness, even in cell lines that are resistant to treatment. Furthermore, we attempted to inhibit cysteine biosynthesis by promoting the synthesis of methionine from homocysteine with the supplementation of 5-methyltetrahydrofolate. We discovered that treatment with 5-methyltetrahydrofolate further enhanced the sensitivity of IMiDs in resistant MM cell lines. Our results confirm that interfering with intracellular cysteine biosynthesis is a promising therapeutic approach for MM and can improve the effectiveness of IMiDs. Conclusions The biosynthesis of L-Cysteine is vital for the cellular ability to resist oxidation. Cancer cells that create high levels of cysteine within the cell from methionine generate a more significant amount of reduced cysteine, which can act as antioxidants and make MM cells resistant to IMiDs. On the other hand, cells that cannot produce enough cysteine increase their consumption of extracellular cystine and are more susceptible to IMiDs. Cells that consume an oxidized form of cystine from outside the cell require a reduction process inside the cell, which further reduces their ability to resist oxidation. Additionally, the accumulation of CDO protein induced by lenalidomide can enhance the breakdown of intracellular cysteine and cystine uptake in vulnerable cells. Overall, MM cells that rely on extracellular cysteine are sensitive to IMiDs. Therefore, interfering with intracellular cysteine biosynthesis is a better option for myeloma treatment and enhancing the sensitivity of IMiDs.

Clonal proliferation of neoplastic plasma cells in the bone marrow (BM) and organ dysfunction characterizes multiple myeloma (MM), a treatable but incurable disease. Although asymptomatic smoldering MM (SMM) often precedes full blown MM, most patients affected by SMM are only offered active observation, which increases their frustration and anxiety. In transgenic Vk*MYC mice developing de novo MM, we found a direct link between gut microbiota composition and T helper 17 (Th17) lymphocytes, which migrated from the gut to the BM during asymptomatic MM (Early-MM), and favored the expansion of neoplastic plasma cells, thus fueling progression to symptomatic disease (Late-MM) [Calcinotto A. et al. Nat Commun (2018) 9(1):4832]. Similarly, in SMM patients, higher levels of BM Interleukin-17 (IL-17) predicted accelerated disease [Calcinotto A. et al. Nat Commun (2018) 9(1):4832]. Interestingly, Prevotella melaninogenica ( P.m.), a human commensal, limited MM aggressiveness in mice challenged with Vk*MYC-derived MM cells (t-Vk*MYC) by restraining Th17 cell expansion [Calcinotto et al. Nat Commun (2018) 9(1):4832]. Because the gut microbiota also contributes to the therapeutic efficacy of immune checkpoint blockade (ICB) and human neoplastic plasma cells express PD-L1, we hypothesized that modulation of the gut microbiota by P.m. could limit Th17 cell expansion in mice affected by Early-MM, thus fully exploiting the therapeutic potential of anti-PD-L1 against MM. Clinical trials combining anti-PD-1/PD-L1 antibodies, dexamethasone and immune modulatory drugs in MM were halted by US FDA because of unfavorable benefit-risk profile and life-threatening immune related adverse events (irAEs). Because IL-17 is involved in irAEs [Johnson et al. Cancer Immunol Res (2019) 7 (6): 860-865], we also hypothesized treatment with P.m. could restrain ICB-induced expansion of Th17 cells while unleashing CD8-mediated antitumor immunity. Early-MM Vk*MYC mice and t-Vk*MYC, the latter mimicking aggressive MM, were treated with P.m. and/or anti-PD-L1 and disease progression was monitored by paraprotein quantification in blood. Anemia provided clinical evidence of symptomatic disease. At sacrifice, gut, spleen and BM were analyzed by flow cytometry. In vitro assays were conducted to clarify the mechanism by which the gut microbiota influenced the induction of Th17 cells. To mimic cutaneous irAE, the skin of treated mice was exposed to imiquimod, which induces Th17-mediated inflammation [van der Fits et al. J Immunol (2009 )182(9): 5836-5845]. Body weight loss, skin inflammation, and inflammatory infiltrate into secondary lymphoid organs were taken as measure of imiquimod-induced toxicity. In Vk*MYC mice, all neoplastic plasma cells expressed PD-L1. Treatment of Early-MM Vk*MYC mice with anti-PD-L1 antibodies delayed progression to Late-MM, thus extending previous findings on the use of ICB in this model to anti-PD-L1 antibodies and Early-MM [Guillerey et al. J Clin Invest (2015 )125(5): 2077-2089]. Treatment with P.m. exerted a similar effect on disease progression, suggesting that a treatment as simple as taking a probiotic has an impact on MM evolution. When P.m. was combined with anti-PD-L1 antibodies, evolution to Late-MM was further delayed or even blocked. Single and combined treatments also reduced MM aggressiveness in t-Vk*MYC mice. Mechanistically, P.m. limited the expansion of gut-born Th17 cells and their accumulation in the BM of treated mice without dampening the antitumor cytotoxic response elicited by the ICB. Thus, only the combined treatment provided the most favorable CD8/Th17 and CD8/T regulatory cell ratios. Ex vivo, P.m.-conditioned BM DCs showed a limited propensity to produce Th17-polarizing cytokines. In vitro, stimulation of both human and mouse DCs with P.m. reduced polarization of naïve T cells toward a Th17 phenotype. Skin application of imiquimod in C57BL/6 mice induced psoriasis-like lesions and expansion of Th17 cells both in draining lymph nodes and spleen. The contextual administration of anti-PD-L1 antibodies worsened imiquimod-induced inflammation. An ongoing experiment will clarify if mice receiving P.m. and ICB experience reduced skin lesions. Taken together, our data support the development of microbiota-based strategies in combination with ICB to treat full-blown MM and to prevent progression of asymptomatic SMM to full-blown disease.

DISCUSSION AND CONCLUSION Chimeric antigen receptor (CAR)-T cells directed against B-cell maturation antigen (BCMA), have yielded impressive results in clinical trials for multiply relapsed/refractory multiple myeloma (MM). However, progression-free survival is short, demonstrating a need for improvements. While numerous advances have been made to improve this treatment modality, these have not always translated to superior clinical outcomes. A major limitation is that novel therapeutics are often not tested in a relevant in vivo model. These novel strategies have been largely tested only in immunodeficient models of MM. To better recapitulate the host-tumour-effector cell interactions, particularly in the TME, we sought to develop a system to study CAR-T cell activity in the Vk*MYC model of MM. Here, we report on the first known successful model of CAR-T cell activity in an immunocompetent model of MM. We sought to identify a BCMA CAR construct that is capable of binding to both human and mouse BCMA. A novel nanobody recognizing BCMA was developed by immunizing llamas with human BCMA and the resulting single-domain antibodies (sdAbs) were subsequently isolated and cloned. These sdAbs were then screened for binding to mouse BCMA. A binder capable of recognizing both human and mouse BCMA was identified and cloned into our murine CAR construct, with CD28 and CD3z signaling domains, herein referred to as sdBCMA2.CD28.CD3z. Murine CAR-T cells were then generated by transducing activated healthy murine splenocytes with a retroviral vector carrying the sdBCMA2.CD28.CD3z construct. These CAR-T cells were then characterized in vitro using standard cytotoxicity, proliferation, and cytokine release assays. To assess activity in an immunocompetent model, female C57BL/6J mice were injected intravenously with Vk12598 Vk*MYC cells. CAR-T cells were later administered intravenously. Mice were bled weekly to quantify M-protein disease burden by serum protein electrophoresis and for phenotypic characterization of circulating cells. When co-cultured with BCMA+ human MM cell lines and with Vk*MYC cell lines, murine sdBCMA2.CD28.CD3z CAR-T cells effectively lysed target cells, proliferated, and released inflammatory cytokines. To assess the in vivo activity of these CAR-T cells, we injected intravenously female C57BL/6J mice with Vk12598 cells, and then administered sdBCMA2.CD28.CD3z CAR-T cells intravenously. While there was some evidence of survival improvement, the median overall survival (mOS) of 35 days compared to 28 days, for CAR-T vs. Mock T-cells, respectively, the difference was non-significant, and the survival benefit was not durable. To address this, we incorporated lymphodepletion by total body irradiation (TBI) followed by CAR-T cell administration the next day. By incorporating lymphodepletion prior to CAR-T cell administration we were able to significantly reduce M-protein surrogates of disease burden, as well as achieve durable remissions in the TBI + CAR-T arm with an mOS not yet reached after experimental day 91, compared to an mOS of 42 days in the TBI + Mock T-cell arm. The addition of TBI also significantly improved the engraftment of CAR-T cells, as assessed by flow cytometry. The TBI + CAR-T arm also had significantly increased IL-6, IL-1b, IL-2, and TNF-a in the serum, compared to the TBI + Mock arm, at 7 days post administration of CAR-T cells. The durable remission achieved using the combination of our novel sdBCMA2.CD28.CD3z CAR-T cells with lymphodepletion is a pivotal advancement in modelling MM CAR-T cell activity in this clinically relevant model system. Our approach represents the first time that CAR-T cells were successfully used to treat the Vk12598 model of MM that faithfully recapitulates relapsed MM. The incorporation of lymphodepletion significantly improves CAR-T cell engraftment, in line with clinical CAR-T cell therapy paradigms. The cytokine profile observed is consistent with the cytokine elevations typically observed after CAR-T cell administration in patients. As our construct is capable of binding to both human and mouse BCMA, we are therefore able to fully characterize our lead assets in a relevant model system. Our strategy will enable further research to dissect host-tumour-effector cell interactions, to better inform the design and characterization of novel CAR-T cell therapies in MM.

Abstract Multiple myeloma (MM) is a malignancy that is often driven by MYC and that is sustained by IRF4, which are upregulated by super-enhancers. IKZF1 and IKZF3 bind to super-enhancers and can be degraded using immunomodulatory imide drugs (IMiD). Successful IMiD responses downregulate MYC and IRF4; however, this fails in IMiD-resistant cells. MYC and IRF4 downregulation can also be achieved in IMiD-resistant tumors using inhibitors of BET and EP300 transcriptional coactivator proteins; however, in vivo these drugs have a narrow therapeutic window. By combining IMiDs with EP300 inhibition, we demonstrate greater downregulation of MYC and IRF4, synergistic killing of myeloma in vitro and in vivo, and an increased therapeutic window. Interestingly, this potent combination failed where MYC and IRF4 expression was maintained by high levels of the AP-1 factor BATF. Our results identify an effective drug combination and a previously unrecognized mechanism of IMiD resistance. Significance: These results highlight the dependence of MM on IKZF1-bound super-enhancers, which can be effectively targeted by a potent therapeutic combination pairing IMiD-mediated degradation of IKZF1 and IKZF3 with EP300 inhibition. They also identify AP-1 factors as an unrecognized mechanism of IMiD resistance in MM. See related article by Neri, Barwick, et al., p. 56. See related commentary by Yun and Cleveland, p. 5. This article is featured in Selected Articles from This Issue, p. 4