Bergsagel, Leif

ABSTRACT Germline variation shapes cancer risk, yet its influence on the evolutionary dynamics of established tumors remains poorly understood. In multiple myeloma, subclonal diversification drives disease progression and treatment failure, but the heritable factors that modulate this process are unknown. Here, we show that germline variation is associated with tumor evolutionary features, implicating inherited regulation in subclonal expansion. Integrating germline variation with tumor evolutionary parameters identifies variants associated with evolutionary features, with signals enriched in regulatory regions, consistent with a transcriptional basis. We further identify TBKBP1 as a key locus linking germline variation to tumor evolution and clinical outcome. Germline variation at this locus is associated with TBKBP1 expression and subclonal expansion, and TBKBP1 expression correlates with adverse prognosis, consistent across independent cohorts. Functional analyses demonstrate that TBKBP1 promotes proliferation and activates MYC, mTORC1 and non-canonical NF-κB signaling pathway. Together, these findings establish germline regulatory variation as a determinant of tumor evolutionary dynamics and identify TBKBP1 as a mediator linking inherited variation to subclonal expansion and disease progression in multiple myeloma.

Abstract Motivation Intratumor heterogeneity arises from ongoing somatic evolution and complicates cancer diagnosis, prognosis, and treatment. Reconstructing evolutionary dynamics typically requires spatiotemporal samples, which are often unavailable in clinical settings. Computational approaches that can infer tumor evolutionary history from single-timepoint bulk sequencing data remain limited. Results We present estimating evolutionary events through single-timepoint sequencing (TEATIME), a novel computational framework that models tumors as mixtures of two competing cell populations: an ancestral clone with baseline fitness and a derived subclone with elevated fitness. Using cross-sectional bulk sequencing data, TEATIME estimates mutation rates, timing of subclone emergence, relative fitness, and number of generations of growth. To quantify intratumor fitness asymmetries, we introduce a novel metric—fitness diversity—which captures the imbalance between competing cell populations and serves as a measure of functional intratumor heterogeneity. Applying TEATIME to 33 tumor types from The Cancer Genome Atlas, we revealed divergent as well as convergent evolutionary patterns. Notably, we found that immune-hot microenvironments constraint subclonal expansion and limit fitness diversity. Moreover, we detected temporal dependencies in mutation acquisition, where early driver mutations in ancestral clones epistatically shape the fitness landscape, predisposing specific subclones to selective advantages. These findings underscore the importance of intratumor competition and tumor-microenvironment interactions in shaping evolutionary trajectories, driving intratumor heterogeneity. Lastly, we demonstrate that TEATIME-derived evolutionary parameters and fitness diversity offer novel prognostic insights across multiple cancer types. Availability and implementation R implementation of TEATIME is available on GitHub (https://github.com/liliulab/TEATIME) and Zenodo (https://zenodo.org/records/17422174).

Abstract Monoclonal antibodies targeting CD38 are a therapeutic mainstay in multiple myeloma (MM). Although they have contributed to improved outcomes, most patients still experience disease relapse, and little is known about tumor-intrinsic mechanisms of resistance to these drugs. Antigen escape has been implicated as a mechanism of tumor-cell evasion in immunotherapy. Yet, it is unknown whether MM cells can develop permanent resistance to anti-CD38 antibodies by acquiring genomic events leading to biallelic disruption of the CD38 gene locus. Here, we analyzed whole-genome and whole-exome sequencing data from patients 701 newly diagnosed MM, 67 patients at relapse with naivety to anti-CD38 antibodies, and 50 patients collected at relapse after anti-CD38 antibodies. We report a loss of CD38 in 10 of 50 patients (20%) after CD38 therapy, 3 of whom exhibited a loss of both copies. Two of these cases showed convergent evolution in which distinct subclones independently acquired similar advantageous variants. Functional studies on missense mutations involved in biallelic CD38 events revealed that 2 variants, L153H and C275Y, decreased binding affinity and antibody-dependent cellular cytotoxicity of the commercial antibodies daratumumab and isatuximab. However, a third mutation, R140G, conferred selective resistance to daratumumab, while retaining sensitivity to isatuximab. Clinically, patients with MM are often rechallenged with CD38 antibodies after disease progression and these data suggest that next-generation sequencing may play a role in subsequent treatment selection for a subset of patients.

ABSTRACT Intratumor heterogeneity arises from ongoing somatic evolution complicating cancer diagnosis, prognosis, and treatment. Here we present TEATIME (es t imating e volution a ry events t hrough s i ngle-ti m epoint s e quencing), a novel computational framework that models tumors as mixtures of two competing cell populations: an ancestral clone with baseline fitness and a derived subclone with elevated fitness. Using cross-sectional bulk sequencing data, TEATIME estimates mutation rates, timing of subclone emergence, relative fitness, and number of generations of growth. To quantify intratumor fitness asymmetries, we introduce a novel metric—fitness diversity—which captures the imbalance between competing cell populations and serves as a measure of functional intratumor heterogeneity. Applying TEATIME to 33 tumor types from The Cancer Genome Atlas, we revealed divergent as well as convergent evolutionary patterns. Notably, we found that immune-hot microenvironments constraint subclonal expansion and limit fitness diversity. Moreover, we detected temporal dependencies in mutation acquisition, where early driver mutations in ancestral clones epistatically shape the fitness landscape, predisposing specific subclones to selective advantages. These findings underscore the importance of intratumor competition and tumor-microenvironment interactions in shaping evolutionary trajectories, driving intratumor heterogeneity. Lastly, we demonstrate that TEATIME-derived evolutionary parameters and fitness diversity offer novel prognostic insights across multiple cancer types.

Abstract Chimeric antigen receptor T (CART) cell therapy has shown clinical successes in B cell hematological malignancies. Two B cell maturation antigen (BCMA)-directed CART cell therapies treating multiple myeloma (MM) were approved by FDA but most patients relapse within 1-2 years. Ex vivo-expanded antigen specific T cells as cancer treatment rely on TCR-mediated killing of tumors. We hypothesized that arming ex vivo enriched tumor-specific T cells with CARs targeting a different antigen improves T cell functions. First, we expanded mucin 1 (MUC1)-activated T cells from patients with MM through ex vivo stimulation by MUC1 peptides-loaded autologous PBMCs for 19 days. Then, we engineered MUC1-activated T cells with 4-1BB-co-stimulated BCMA CAR to generate MUC1 TCR+BCMA CAR+ T cells. Baseline T cells without MUC1 stimulation were engineered with BCMA CAR as control. Baseline T cells, MUC1 T cells, baseline BCMA CART cells, or MUC1 BCMA CART cells were cocultured with luc+ RPMI-8226, a MUC1+BCMA+ MM cell line, for 3 days. MUC1 BCMA CART cells showed stronger tumor killing than BCMA CART or MUC1 T cells in all 3 patients (p<0.0001). MUC1 BCMA CART showed improved proliferation than BCMA CART or MUC1 T cells (p=0.0765, p<0.0001, respectively) after a 5-day stimulation by RPMI-8226. To exclude possibility of metabolic alterations by 19-day PBMC incubation leading to better T cell functions in MUC1 BCMA CART, baseline and MUC1-stimulated T cells from 3 healthy donors were processed for the same assays. Day-19 BCMA CART cells showed inferior tumor killing compared to baseline BCMA CART in all 3 donors (p<0.0001). Lower T cell proliferation was also observed in day-19 BCMA CART (p=0.0838). Our data indicate that improved T cell functions in MUC1 BCMA CART were unlikely due to metabolic changes and required stimulation by tumor antigens prior to CAR engineering likely through MUC1 TCR. Additionally, MUC1 T cells, BCMA CART, or MUC1 BCMA CART cells from tested patients were stimulated by RPMI-8226 for bulk RNA sequencing. Both BCMA CART and MUC1 T cells had distinct transcriptomic features from MUC1 BCMA CART cells. Differential gene expression analysis showed upregulation of T cell function-associated genes (RYR2, ITGA1, GNLY, GZMA, etc.) in MUC1 BCMA CART vs BCMA CART. Enrichment of T cell function-associated pathways was also observed in MUC1 BCMA CART. Analysis between MUC1 T cell and MUC1 BCMA CART showed upregulation of T cell function-associated genes (CSF2, CRTAM, IFNG, GZMB, etc.) and enrichment of immune response pathways in MUC1 BCMA CART. Our findings suggest that equipping ex vivo-enriched tumor-specific T cells with CARs targeting a different antigen improves T cell functions in vitro. Importantly, this provides a rationale for a therapeutic regimen where patients receive ex vivo-enriched tumor-induced T cells followed by CAR engineering. Persistence of the engineered T cells is being investigated Citation Format: Kun Yun, R. Leo Sakemura, Ismail Can, Omar Gutierrez Ruiz, Ekene J. Ogbodo, Truc N. Huynh, Claudia Manriquez Roman, Olivia Sirpilla, Carli M. Stewart, Jennifer M. Feigin, Grace E. DeFranco, Sophia Y. Goldberg, Dominic A. Skeele, Mariam Stein, Dara Missan, Latha Pathangey, Long Mai, Hong Xia, Brooke Kimball, Lionel A. Kankeu Fonkoua, Mehrdad Hefazi, Michael W. Ruff, Elizabeth L. Siegler, Leif Bergsagel, Michael Gustafson, Sandra Gendler, Saad S. Kenderian. BCMA CAR engineering arms T cells with superior functions post ex vivo stimulation by MUC1 peptide-loaded autologous PBMCs [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 6103.

Overview: Despite advances in therapies targeting the tumor-intrinsic aspects of the disease, multiple myeloma (MM) remains functionally incurable. Given that new alternatives such as T cell redirected therapy and monoclonal antibodies engage ADCC and CDC by leveraging other elements of the immune system, we believe that deeper studies of the tumor microenvironment are warranted. In particular, we believe that certain macrophages are associated with tumor progression, serve as markers of future relapses, are immunosuppressive, and reduce the effectiveness of otherwise successful therapies. Methods: We performed 5' scRNAseq analysis of 189,025 cells collected from spleen or bone marrow of 4 wild type, 14 de novo, and 40 tumor bearing Vk*MYC mice treated with vehicle or effective anti-MM therapies. Discoveries were cross-referenced against a set of 45,626 human bone marrow cells collected from 35 samples at different stages of disease and treatment. We experimentally recreated in vitro the cross-talk between MM cells and macrophages by co-culturing bone marrow derived macrophages (BMDM) with MM cells or their conditioned medium, and correlated changes in gene expression as well as the ability of polarized BMDM to inhibit CAR T mediated killing of MM cells in vitro. Results: Gene expression analysis of murine in vivo C1q macrophages and in vitro polarized BMDM revealed a common signature identified in lipid-associated macrophages and Kupffer cell-like macrophages1 (high expression of Fabp5, ApoE, Cd63, C1qa/b/c, Cd163, Cd5l, Vcam1, Fcgr4, Folr2, Maf) which is associated with immunosuppression and disease progression. Ligand-receptor analysis via LIANA identified C1qb ligand in macrophages with C1qbp in tumor among the top interactions in both human and murine single cell analyses. C1qbp is a crucial element of cell adhesion and metastasis,2 and this link between tumor and macrophage can severely limit effective therapy: BMDM following stimulation/polarization with MM lines, but not naïve/unstimulated BMDM, strongly inhibit anti-BCMA CAR T in vitro cytotoxic activity. In total, a complement-related connection between tumor and macrophage is capable of directing an immunosuppressive, chemokine response that imparts resistance to therapy. While effective therapies reduce tumor and C1q expressing macrophage populations,3 retention of C1q expressing cells may be associated with future relapses. Presence of a specific subset of C1Q expressing cells, even in very low numbers, in human samples following ASCT was associated with early relapse (6 of 8 good responding samples had zero C1Q+ cells while 12 of 16 poor responding samples had 1 or more C1Q+ cells-Fisher test p-value < 0.05). In addition to high expression of C1QA/B/C, these cells are also highly upregulated in TYROBP (known to relate to macrophage polarization4 and found in a spatial transcriptomic analysis of cells at the periphery of MM and its environment5) as well as FCER1G (known to relate to macrophage infiltration6). Conclusion: As advanced therapies manipulate elements of the immune microenvironment to impart effective treatment, the connection between tumor and macrophage should not be overlooked since macrophages likely help create an immunosuppressive niche that assists in disease growth and eventual revival. 1. Ma, R.-Y., Black, A. & Qian, B.-Z. Macrophage diversity in cancer revisited in the era of single-cell omics. Trends Immunol. 43, 546-563 (2022). 2. Wang, Y. et al. C1QBP suppresses cell adhesion and metastasis of renal carcinoma cells. Sci. Rep. 7, 999 (2017). 3. Stein, C. K., Meermeier, E., Welsh, S. J., Chesi, M. & Bergsagel, P. L. Key Subsets of Immune Cells in Bone Marrow Myeloid Compartment Indicate Degree of Tumor Infiltration and Avenues for Successful Immunotherapy in Multiple Myeloma. Blood 140, 7082-7083 (2022). 4. Liang, T. et al. TYROBP, TLR4 and ITGAM regulated macrophages polarization and immune checkpoints expression in osteosarcoma. Sci. Rep. 11, 19315 (2021). 5. Sudupe, L. et al. Spatial Transcriptomics Unveils Novel Potential Mechanisms of Disease in a MI cγ1 Multiple Myeloma in vivo Model. Blood 142, 4076 (2023). 6. Dong, K. et al. FCER1G positively relates to macrophage infiltration in clear cell renal cell carcinoma and contributes to unfavorable prognosis by regulating tumor immunity. BMC Cancer 22, 140 (2022).

Introduction: Ven is a BCL2 inhibitor that has shown clinical efficacy in RRMM patients (pts) particularly those that harbor t(11;14). Ven has been evaluated in clinical trials as a single agent, in combination with dexamethasone (dex), immunomodulatory drugs (IMiD), proteasome inhibitors (PI), and anti-CD38 monoclonal antibodies (MAb) yet its place in the therapeutic landscape remains in question. In this retrospective analysis, we aim to evaluate the real-world efficacy of Ven-based regimens in RRMM pts treated outside of a clinical trial across the 3-site MCCC. Methods: We retrospectively analyzed the medical records of pts with RRMM treated with Ven-based regimens between January 2015 and October 2023 at the MCCC. Refractoriness was defined by progression on or within 60 days of stopping treatment. Categorical variables were compared with Chi-square tests and continuous variables were compared with t-tests. Outcomes were estimated using the Kaplan-Meier method and curves were compared between the groups using log-rank tests. Results: 83 pts were included in the analysis. The median age was 71 (39-93), 63% were male, 93% were white, 27% had ISS III, 18% had high risk cytogenetics (HRCyto), 76% had t(11;14), the median prior lines of therapy (LOT) was 4 (1-15), 68% received ≥ 4 prior LOT, 87% received prior autologous transplant, 58% were triple-class refractory (TCR), 64%/23% were penta-drug exposed/refractory (PDE/R), 8% received prior BCMA-directed therapies (BDT), 58% received Ven+dex, 25% received Ven+PI +/-dex, 6 % received Ven+anti-CD38 MAb+/-dex and 11% received Ven+other. The median follow-up time from start of a Ven-based regimen was 29 months (mo). The median Ven dose was 800mg (20-1600) with 25% of pts receiving Ven ramp-up dosing. The overall response rate (ORR) to a Ven-based regimen was 58% and was 64% for pts with t(11;14) and 40% for pts without t(11;14); p=0.06. Ven-treated pts with HRCyto had inferior PFS (3mo) and OS (8mo) compared to patients who did not have HRCyto who had a PFS of 9mo (p=0.020) and OS of 80mo (p<0.001). The ORR for TCR and PDR pts were 52% and 42%, respectively. No significant ORR differences were noted across the different Ven-based regimens (p=0.32). The median PFS for pts with t(11;14) was 10mo compared to 2mo for pts w/o t(11;14); p=<0.001. The median OS for pts with t(11;14) was 80mo compared to 10mo for pts without t(11;14); p=0.001. Ven-treated pts who received 1-3 prior LOT has superior ORR, median PFS, and median OS; 89%, 25mo, and 99mo, respectively, compared to pts who received ≥4 prior LOT who achieved an ORR of 43% (p<0.001), median PFS of 5mo (p<0.001) and median OS of 25mo (p<0.001). Ven-treated pts that were TCR had inferior PFS (5mo) and OS (26mo) compared to pts who were not TCR who achieved a PFS of 12mo (p<0.001) and a median OS of 80mo (p=0.02).Ven-treated pts that were PDR had inferior PFS (4mo) and OS (22mo) compared to pts who were not PDR who achieved a PFS of 9mo (p<0.001) and a median OS of 80mo (p=0.02).Ven-treated pts who received prior BDT (n=7) achieved an ORR of 29% and had a median PFS and OS of 2mo and 6mo, respectively on a Ven-based therapy. 59 pts received additional therapy in the post Ven-progression setting. The ORR to post-Ven progression therapies was 53% (n=31/59), the median PFS was 9mo and median OS was 35mo. The most common post-Ven progression regimens used were PI-based (n=16; ORR=56%), anti-CD38 MAb-based (n=14; ORR=50%), BDT (n=12; ORR=83%), selinexor-based (n=3; ORR=0%) with BDT resulting in highest ORR (p=0.048) and PFS (p=0.005). Conclusions: Ven-based regimens are effective in heavily pre-treated pts with RRMM however they are more effective when used within 1-3 prior LOT, in pts with t(11;14), and in pts without HRCyto, TCR or PDR MM. BDT appear to be the most efficacious therapies in the post-Ven progression setting.

Introduction/Background: Bispecific T cell engagers (TCE) targeting BCMA and CD3 induce deep hematologic responses in approximately 60% of heavily pre-treated multiple myeloma (MM) patients. There is an unmet need to overcome primary resistance, as this off-the-shelf therapy is readily available to patients with aggressive disease relapse and has the potential to be delivered in the community. We and others found that high tumor burden leads to primary resistance to TCE 1,2,3,4 and that combination with immunomodulatory drugs (IMiDs) transiently improves responses yet exacerbates T cell exhaustion2. Here, we present preclinical strategies to overcome primary resistance which are tolerable and provide more durable responses specifically for the high tumor burden setting. Methods: We evaluated response and survival to a murine surrogate BCMA/CD3 TCE in the Vk*MYC immunocompetent mouse model of MM expressing human CRBN to investigate tumor burden as a mechanism underpinning primary resistance. We evaluated dosing methods and combination strategies with IMiDs or novel CELMoDs, checkpoint inhibitors, and dexamethasone to improve response rates while maintaining a manageable safety profile. Results: We investigated primary resistance in an expanded panel of Vk*MYC models reflecting differing genomic heterogeneity and confirmed that a threshold of tumor burden limits T cell activation and correlates with resistance to TCE. BCMA is cleaved from the tumor cell surface by gamma-secretase and thus, high density of shed BCMA may act as a sponge to BCMA TCE. However, we found that administration of gamma-secretase inhibitors, while stabilizing BCMA expression on MM cells, is not sufficient to overcome high tumor burden-driven resistance to TCE. We previously reported the combinatorial activity of BCMA TCE with IMiDs and revealed a role for tumor-extrinsic effects of IMiDs in allowing mice with a high tumor burden to transiently respond to BCMA-TCE before T cell exhaustion prevailed2. To build on that combination strategy, we first hypothesized that the addition of a PD1 checkpoint inhibitor could reduce T cell exhaustion that occurs in response the BCMA-TCE in the resistant setting. We found that this triple combination provides more persistent activation and expansion of cytolytic T cells and sustains remission but leads to toxic cytokine release syndrome and early mortality in half of the cohort. Next, to address the acute toxicity from the hyperactivated T cell response and reduce tumor burden, we combined the triple combination with dexamethasone (Dex). To our surprise, concurrent Dex, even in the absence of IMiDs/CELMoDs, boosts responses to TCE. We observe that Dex moderates T cell proliferation in response to the TCE and leads to a moderate sustained cytokine production (IFN-γ, TNF, and IL-2R) systemically and in the bone marrow compared with a high transient burst seen with TCE alone or the concurrent treatment with IMiD + PD1 blockade. We determined that incremental step-up TCE dosing allows the combination of IMiDs or CELMoDs (iberdomide or mezigdomide) with Dex to be completely tolerated. To investigate whether delivering IMiD or CELMoDs before or during TCE administration altered efficacy, we tested pre-treatment with IMiDs/CELMoDs + Dex compared with concurrent dosing and found pre-treatment led to superior durable responses. Pre-treatment with iberdomide + Dex followed by step-up dosed TCE generated 100% response rate and the highest overall survival in subjects bearing a high tumor burden. This was accompanied by a more favorable T cell profiling over time, with limited expansion of regulatory T cells and reduced accumulation of exhausted T cells. Conclusion: Modelling the dosing and combination strategies of a BCMA-TCE in our immunocompetent system has allowed us to understand the dynamic changes in T cell fitness that are required for effective, tolerable, and durable TCE therapy for MM. We illustrate how improvements to TCE therapy mitigate T cell exhaustion and overcome primary resistance, and importantly, suggest a strong immunotherapeutic strategy for MM patients with challenging-to-treat actively progressing disease. 1. Lee et al., Nat Med 29, 2295-2306 (2023) 2. Meermeier et al. Blood Cancer Discov. 2021 Jul;2(4):354-369. 3. Rees et al. Blood Cancer J. 2024 Jul 23;14(1):122. 4. Girgis et al. Blood Adv. 2023 Feb 28;7(4):644-648

Primary resistance to BCMA-directed bispecific antibodies (BCMA-BsAb) is a major clinical hurdle despite their outstanding efficacy for relapsed and refractory multiple myeloma (MM). Primary resistance has been linked clinically to patient characteristics including tumor burden. Our previous work in the immunocompetent Vk*MYC model of MM credentialed that tumor burden also correlates with resistance to a murine BCMA-BsAb, which we addressed through drug combinations with MM backbone agents. Pairing the BsAb with cyclophosphamide (Cy) was well-tolerated, reversed primary resistance, reshaped an immunosuppressive tumor microenvironment (TME) and led to durable responses with immunosurveillance in all but the most aggressive settings. Here, we aimed to improve the BCMA-BsAb and Cy combination strategy with a goal of curing models representing clinically relevant Cy-refractory aggressive settings, by adding T cell checkpoint blockade. Despite a lack of single agent activity of checkpoint inhibitors in MM (and in our models), PD1 and TIGIT are relevant targets as their expression on T cells correlates with both primary and acquired resistance to BCMA-directed cell therapies. Our team hypothesized that blockade of either PD1 or TIGIT with concurrent BCMA-BsAb and Cy would deepen anti-MM responses and provide a more durable immunotherapy regimen by sustaining activation of the T cell repertoire. Methods: We preclinically tested the ability of two weeks of concurrent dosing of BCMA-BsAb with Cy, checkpoint inhibitors targeting either PD1 or TIGIT, or the triple combination to overcome primary resistance and improve survival in a Cy-resistant transplantable Vk*MYC model of MM. We followed the response longitudinally in the blood, and in the bone marrow and spleen after complete responses were achieved at five weeks. Results: The double combination of a checkpoint inhibitor to the BCMA-BsAb was well-tolerated and abolished primary resistance, yet, failed to provide curative responses. Whereas the triple combination with either PD1 or TIGIT blockade remained safe, provided robust initial responses that overcame primary resistance and resulted in durable complete and curative responses in the entire cohort. These survival benefits represent significant improvements over control combinations tested here but also over all historical preclinical anti-MM therapy tested in our models to date. Both PD1 and TIGIT blockade with Cy/BCMA-BsAb triple combinations delivered a similar multiphasic potent anti-tumor response. This response was first characterized by highly effective T cell-mediated lysis of the tumor, as evidenced by deep reduction of M-spike after two weeks of treatment. As we previously published, the addition of Cy to BCMA-BsAb rapidly reshapes the TME by depleting Tregs and exhausted T cells and brings naive T cells to the tumor. However, we observed elevated T cell checkpoint expression at times of BsAb-relapse in aggressive models, suggesting that blockade of these pathways may help sustain T cell activation. Indeed, the ensuing T cell response in the triple combination gradually builds and encourages a pool of less terminally differentiated T cells to proliferate to allow for a more sustained response with repeat dosing. For the first time, we observe that the triple combination significantly engages the CD4 T cell compartment, which can be essential for a complete anti-tumor response. At the time of complete response, single cell analysis displays that T cells retained in the BM were less exhausted and defined by elevated CCR2 expression, a known marker of activated memory T cells, suggestive of ongoing immunosurveillance. Conclusions: Here we demonstrated through controlled in vivo experimentation how the addition of Cy reverts primary resistance to BCMA-BsAb by reshaping the TME in our Cy-insensitive preclinical model. Adding checkpoint inhibitors targeting TIGIT or PD1 further improves the durability of BsAb and Cy combination to cure all mice in these cohorts, by critically lysing the tumor, resetting the suppressive TME, and instigating a gradual, multiphasic, and sustained anti-MM T cell response. The concurrently delivered triple combination is well tolerated and provides optimal temporal control of MM especially in a preclinical model reflecting primary resistance mediated by high tumor burden and may have translational benefit to MM patients.