Bergsagel, P. Leif

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 Induction therapy (Tx) followed by ASCT and lenalidomide (LEN) maintenance is the standard of care in transplant-eligible pts with NDMM. Pts who have suboptimal response after front-line ASCT, however, have an increased risk of progression or death. Ide-cel demonstrated significantly improved median progression-free survival (PFS) and overall response rate (ORR) vs standard regimens in KarMMa-3 in pts with early-line triple-class-exposed relapsed and refractory multiple myeloma (MM). KarMMa-2 (NCT03601078) is a multicohort, phase 2, multicenter trial evaluating the efficacy and safety of ide-cel in several MM disease settings; cohort 2c includes pts with NDMM who achieved < very good partial response (VGPR) after front-line ASCT. An extended follow-up analysis (median follow-up of 39.4 months) of cohort 2c was presented at ASH 2023 (Dhodapkar M, et al. ASH 2023; P2101). Here, we report results with 55.4 months of median follow-up and additional data on pts who received LEN maintenance at the investigator's discretion. Methods Adult pts with NDMM who received ≥ 3 cycles of induction Tx (proteasome inhibitor, immunomodulatory agent, dexamethasone), and had < VGPR 70-110 days after ASCT (single/tandem) were eligible. Pts received a single ide-cel infusion (150-450 × 106 chimeric antigen receptor-positive T cells) and could receive maintenance Tx post-infusion at investigator discretion. The primary endpoint was complete response rate (CRR); secondary endpoints included ORR, duration of response (DOR), PFS, overall survival (OS), safety, cellular kinetics, and patient-reported outcomes on health-related quality of life (HRQoL). Minimal residual disease (MRD) negativity (sensitivity, 10-5), an exploratory endpoint, is also reported. Results At data cutoff (June 28, 2024), with a median follow-up of 55.4 (range, 51.4-59.5) months, all 31 pts treated with ide-cel were alive; 28 (90.3%) remained in follow-up and 3 (9.7%) discontinued due to disease progression or withdrawal by pt. Eight pts received LEN maintenance after ide-cel at the investigator's discretion. Among all 31 ide-cel-treated pts, CRR and ORR were 80.6% and 87.1%, respectively. Among the 8 pts who received LEN maintenance, CRR and ORR were 75.0% and 100.0%, respectively. Median DOR, PFS, and OS were not reached; 36-month event-free rates were 81.5%, 76.8%, and 100.0%, respectively. Of the 8 pts who received LEN maintenance after ide-cel infusion, none experienced disease progression. At 36 months, MRD negativity was confirmed in 12/18 (66.7%) evaluable pts; all 12 achieved ≥ CR. Since last data cutoff, 1 pt with MRD-negative MM changed to MRD-positive at 36 months, and 1 pt who had previously achieved MRD negativity was indeterminate at 36 months. Among the 6 evaluable pts who received LEN maintenance, 3/6 (50.0%) achieved MRD negativity at 36 months. There were no new safety signals nor reports of parkinsonism or Guillain-Barré syndrome since the previous data cutoff. In the 8 pts who received LEN maintenance, 6 (75.0%) experienced grade 3/4 AE, most commonly neutropenia, and 1 (12.5%) experienced grade 3/4 infection on or after LEN maintenance. All 8 pts were still receiving LEN at data cutoff. Robust CAR+ T cell expansion was observed in 31 pts, with higher expansion in pts with ≥ CR vs < CR. Following ide-cel treatment, HRQoL improved and disease symptoms were stable over time (assessed by European Organization for Research and Treatment of Cancer [EORTC] Quality of Life Core Questionnaire and EORTC Quality of Life Multiple Myeloma Module 20 Questionnaire). More than 75% of pts had improved or stable global health status/QoL by month 3. Conclusions With extended follow-up, ide-cel continued to demonstrate deep, durable responses in pts with < VGPR to front-line ASCT. No new safety signals were observed and no deaths were reported. Data in a small group of pts in cohort 2c showed that ide-cel followed by LEN maintenance extended disease control. Pts who received LEN maintenance did not experience disease progression regardless of MRD status. Stable or improved HRQoL was observed after ide-cel treatment. Overall, ide-cel continued to show a favorable clinical benefit-risk profile in NDMM after ASCT. The phase 3 KarMMa-9 study (NCT06045806), currently recruiting, will compare ide-cel followed by LEN maintenance vs LEN maintenance alone in pts with NDMM after suboptimal response to ASCT.

Background: Venetoclax (Ven), a BCL2 inhibitor, has shown promising responses in multiple myeloma (MM) patients with t(11;14) and/or BCL2 expression. However, consistent benefit in clinical trials remain elusive. This report evaluates the efficacy and safety of Ven combination therapies, including in the non-t(11;14) subgroup, and examines the impact of secondary cytogenetic abnormalities (SGA) on outcomes. Methods: This retrospective study included multiple myeloma (MM) patients without concurrent AL amyloidosis treated with Ven-based combinations at Mayo Clinic sites from January 2015 to December 2023. FISH data was collected at diagnosis and before venetoclax initiation to assess SGAs. Refractoriness was defined by progression on or within 60 days of stopping treatment. Patients refractory to at least one proteasome inhibitor (PI), immunomodulatory drug (ImiD), and anti-CD38 antibody were considered triple-class refractory (TCR). Ven combinations were grouped as: Daratumumab/CD38 antibody (Dara)-Ven based if received Dara ± other drugs, PI-Ven-based without Dara, Ven-dexamethasone (Ven-d), and other combinations (Ven-Misc). BCL2 expression in patients without t(11;14) was determined by immunohistochemistry (IHC). Progression-free survival (PFS) was calculated from treatment initiation to disease progression or last follow-up. Results: We included 232 patients in this study. The median age at diagnosis of MM was 62 years (range 32-87), and the median age at initiation was 68 years (range 35-89). The median time from diagnosis of MM to initiation of Ven was 55 months (95% CI 28, 89 months), and the median follow-up from initiation of Ven-based treatment was 17.2 months (95% CI: 14, 22). Patients had received a median of 3 lines (IQR 4-6); 65% (n=152) of patients were TCR, 71% (n=163) had received autologous stem cell transplant and 7% (n=16) patients had received prior immune effector therapy prior to initiation of Ven-based therapy. The majority (83%, n=190) of the patients harbored a t(11;14); in the patients without t(11;14), a BCL2 expression by IHC was tested in 18 patients and positive in 17 patients. The most common Ven-based combinations included: Dara-Ven-d (19%, n=44), PI-Ven-d (30.2%, n=70), Ven-d (48.3%, n=112), Ven-misc (2.6%, n=6). The overall response rate for the entire cohort was 57% [64% for t(11;14) and 26% for non t(11;14), p<0.0001]. The median PFS for the entire cohort was 9.5 months (95% CI 8.5,13), and the duration of response was 18 months (95% CI 15.2-23.3). The median PFS was 11.8 months (95% CI 9.5-16.7) for patients harboring a t(11;14) compared to 2.9 months (95% CI 1.8, 8.4) for patients without a t(11;14), p<0.0001. Among the non-t(11;14) cohort with BCL2 expression, the median PFS was 1.8 months (95% CI: 1.2-4.2). Among the 190 patients with t(11;14), 18% (34/190) harbored deletion 17p and 32% (60/193) harbored a 1q gain/amplification (referred hereforth as 1q21+) at initiation of Ven-based therapy. In the cohort of patients with t(11;14), the presence of either del17p or 1q21+ (n=85/190) was associated with a significantly inferior PFS [median PFS 8.2 months (95% CI: 5.5,13)] vs. 15.1 months (95% CI: 11.6, 22), p=0.03. At the last follow-up,42 patients had ongoing treatment with ven-based combination. Most common reasons for discontinuation were progression (77% N=140), adverse effect (12%, n=22), patient/provider preference(9%, n=17); 2% (n=4) patients died without progression (3 infection, 1 unclear). The most commonly utilized maximum dose of venetoclax was 400 mg (42%); 15% (n=35) of patients required a dose reduction, and 23% (n=54) received a ramp-up. Tumor lysis syndrome was not noted in any patient. Infectious complications were noted in 23% (n=52). The estimated median OS from initiation of ven-based Rx was 34 months (95%CI 25-47). The estimated median OS for patients without a t(11;14) was 6.2 months (95% CI: 3.3-11.3) compared to 46 months (31.4-54.1), p<0.0001. In the t(11;14) subgroup, the 18-month OS rate was 79% for patients without 1q21+/del17p vs. 50% for patients with a 1q21+/del17p (p=0.002). Conclusion: Venetoclax-based regimens represent an important treatment option for patients harboring a t(11;14). The PFS in patients with BCL2 expression without t(11;14) was poor suggesting lack of efficacy of venetoclax-based regimens for that subgroup. Presence of concurrent del17p and/or 1q21+ with t(11;14) portends an inferior PFS.

Introduction Despite improvements in outcomes with triplet and quadruplet combination regimens in front-line (1L) multiple myeloma (MM) treatment (Tx), pts with disease that relapses early after 1L Tx or responds inadequately to 1L autologous stem cell transplantation (ASCT) have poor prognosis. Therefore, Txs with novel mechanisms of action are needed. Ide-cel, a BCMA-directed CAR T cell therapy, resulted in deep and durable responses in pts with functional high-risk MM. KarMMa-2 (NCT03601078) is a phase 2, multicenter, multicohort trial of ide-cel: cohort 2a includes pts who progressed ≤ 18 mo of starting 1L therapy with ASCT, cohort 2b includes pts who progressed ≤ 18 mo of starting 1L therapy without ASCT, and cohort 2c includes pts who achieved less than very good partial response ~100 d after 1L ASCT. With a median follow-up of 21.5, 30.1, and 39.4 mo, respectively, median PFS (95% CI) for cohorts 2a, 2b, and 2c was 11.4 mo (5.6-19.6), not reached (NR; 12.2-NR), and NR (38.0-NR). Previous correlative analyses of ide-cel in relapsed and refractory MM have shown that pts with lower pre-Tx tumor burden and lower pre-Tx indicators of basal inflammation had better responses. This cross-cohort analysis evaluated tumor burden, baseline inflammatory status, and T-cell quality differences to develop hypotheses for biologic features underpinning robust PFS previously observed with ide-cel. Methods Levels of soluble BCMA (sBCMA) and 25 exploratory cytokines at infusion and post-Tx were measured by immunoassay. Apheresis and drug product material were characterized by high-parameter flow cytometry and immunoassay. Pharmacokinetics (PK) were evaluated by droplet digital polymerase chain reaction. These analyses were exploratory and post hoc in nature; statistical tests were utilized to identify relationships of interest to develop working hypotheses of the underlying biology. Results Baseline tumor burden, evaluated by median sBCMA (interquartile range [IQR]), was highest in cohort 2b at 156 ng/mL (83-300) compared with 2a at 91 ng/mL (41-169) and 2c at 27 ng/mL (19-48). Pts in cohort 2b had the lowest baseline levels of a subset of inflammatory cytokines, including interferon [IFN]-γ and interleukin-4. Phenotypic data from apheresis material showed that, among the 3 cohorts, pts in cohort 2b also had the lowest amount of effector memory T cells positive for CD45RA (TEMRA; terminally differentiated T cells) and CD57+ T cells (senescent T cells), and the highest amount of CCR7+CD27+ T cells (early memory T cells). Cohorts 2a and 2c had similar phenotypic profiles in the apheresis material. Median time from ASCT to infusion (IQR) was 12.1 mo (9.7-14.3) in cohort 2a and 5.8 mo (5.2-6.2) in cohort 2c. Pts in cohort 2b also had a higher CD4:CD8 ratio in the apheresis material vs the other 2 cohorts. Profiling the drug products from pts in cohort 2b showed higher CAR+ T cell frequency and CAR-specific IFN-γ, and tumor necrosis factor-α and granzyme secretion upon stimulation vs 2a and 2c, with a consistent and comparable potency profile among all cohorts. While sBCMA level at infusion was lower in cohort 2c vs 2a, the similarity in inflammatory state and T-cell quality may reflect impacts from recent melphalan use before ASCT and bone marrow recovery after ASCT, as most pts in both cohorts were < 18 mo from ASCT. Robust cell expansion was observed across cohorts. Conclusions The encouraging median PFS outcome previously observed in cohort 2b relative to existing therapies in this high-risk pt population may be driven by the higher T-cell quality and better inflammatory state pre-Tx despite high baseline tumor burden (sBCMA). Pts in cohorts 2c and 2a had comparatively less optimal baseline immune status vs cohort 2b. The promising PFS observed in cohort 2c may be reflective of sufficient T-cell quality to drive optimal responses in the context of relatively low tumor burden at study entry. The median PFS in cohort 2a may reflect the combination of high tumor burden and less optimal baseline inflammatory status. These observations suggest a working model in which ide-cel may demonstrate robust PFS in pts with early-line, high-risk MM and high tumor burden with good baseline immune status and T-cell quality, and in pts with less favorable baseline immune status and T-cell quality when tumor burden is relatively low and stable.

Introduction The major primary genetic events in multiple myeloma (MM) include translocations of immunoglobulin heavy chain (IgH) and a hyperdiploidy (HRD) karyotype (Kuehl, 2002). The main drivers of pathogenesis in HRD MM are unknown (Fonseca, 2003), therefore further research is needed in this subgroup. Translational research in HRD MM has relied on analysis of genomic and transcriptomic alterations, however changes at the genome and transcriptome level do not always correlate directionally with protein abundance. Because proteins are considered the main and final effectors of most cellular processes, proteogenomics can improve our understanding of the drivers of HRD MM. We employed it here to identify potential biomarkers in HRD MM and determine whether any given trisomy may lead to a selective advantage. Methods: Protein and mRNA were extracted from CD138+ cells from 47 HRD MM and 14 t(11;14) MM samples. RNA-seq data was processed using MAPR-Seq pipeline using default parameters and gene-wise raw counts were extracted for each sample. Proteomics data was processed using Specranaut and protein-wise intensities were extracted for each sample. A generalized linear model configured with negative binomial distribution was used to analyze gene-wise count data in edgeR software. Genes with an adjusted p-value of <=0.05 were considered significantly differentially expressed. Protein intensity data were normalized using trimmed mean of M-values and log2 transformed. A generalized linear model configured with Gaussian distribution was used to compare protein intensities between the groups. Proteins with an adjusted p-value <= 0.05 were considered significantly differentially expressed. Two separate rank lists for protein and mRNA data were generated for pathway analysis. Results When comparing our small cohort of HRD MM patient samples to those with t(11;14) MM, out of approximately 16,600 total transcripts and 9,700 proteins evaluated we identified approximately 2,100 significantly variant transcripts and 500 significantly variant proteins in HRD MM. GSEA pathway analysis of the transcriptome and proteome revealed significantly upregulated translational and ribosomal processing pathways in HRD MM. Transcriptional MYC target pathways were also significantly upregulated. RNAseq revealed significantly higher expression of MYC (Rank 24.5, p=5.3E-6) in HRD MM. It is known that patients with t(11;14) MM have increased expression of CCND1 (Kuehl and Bergsagel, 2012). As expected, we found that the HRD MM subgroup had significantly lower expression of CCND1 compared to the t(11;14) MM subgroup (Rank -79.9, p=2.8E-21) and this was also true at the protein level (Rank -21.7, p=2.2E-5). The most significantly abundant protein in the HRD MM subgroup compared to t(11;14) MM was BAHD1, which is a protein that targets H3K27me3 and recruits transcriptional co-repressors (Fan, 2020). BAHD1 has been shown to repress erythroid genes and may recruit HDAC5, which plays a role in osteoblast differentiation (Rank 72.3, p=2.9E-20; Xu, 2021). The second most abundant protein in HRD MM was CKS2, which binds to the catalytic subunit of cyclin-dependent kinases (CDKs) and therefore positively regulates cell proliferation, invasion, and migration and has been shown to be implicated in tumor progression in several solid tumors (Rank 72.3, p=2.9E-20; You, 2015). TRIM proteins promote tumorigenesis and cancer development. TRIM14 mediates cancer development through mediating the JAK/STAT, PI3K/AKT, NFkB, and p53 pathways and was found to be significantly higher in HRD MM (Rank 70.6, p=9.0E-20; Huang, 2022). We also found increased protein abundance of LAMP5 in HRD MM (Rank 20.1, p=6.0E-5). LAMP5 may play an important role in MM progression and has been shown to be highly expressed in patients with mixed-lineage leukemia and is associated with a poor prognosis (Wang, 2023; Gracia-Maldonado, 2022). We identified many proteins (not all discussed here) that have not been well described in HRD MM and thus may be biomarkers/targets of disease pathogenesis of this subgroup. Conclusion Proteins are the final effectors of most cellular processes. Proteogenomics can improve our understanding of the drivers of HRD MM. Using a proteogenomic approach we identified proteins that may lead to selective advantage and/or pathogenesis of trisomies in HRD MM.

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 Monoclonal antibodies (MoAbs) directed against CD38 are a mainstay in multiple myeloma (MM). Downregulation of CD38 expression is a resistance mechanism of antigenic escape, however, cell surface expression may return. While this tumor cell plasticity is likely driven by epigenetic mechanisms, it is unknown if MM cells can develop permanent resistance to anti-CD38 MoAb by acquiring genomic events leading to biallelic disruption of CD38 thus precluding re-treatment. Here, we report biallelic loss of CD38 as a recurrent mechanism of resistance, often via convergent evolution where distinct subclones are advantaged towards the same selective pressure. Methods We interrogated two sets of patients (Mayo Clinic; n = 31, Calgary University; n =19) with relapse following anti-CD38 MoAbs. Two additional cases of interest were selected from Heidelberg University. Whole genome sequencing (WGS, 60-100x) or whole exome sequencing (WXS), flow cytometry (flow), and bulk RNAseq were used to validate the effect of genomic events on CD38. Missense mutations predicted to affect CD38 MoAb binding were validated with site-directed mutagenesis of a CD38 plasmid, transduction into K562 MM cells, and CD38 MoAb binding assays. Results The prevalence of biallelic inactivation of CD38 at anti-CD38 MoAb relapse was 6% (3/50). An additional selected biallelic event was noted in the Heidelberg set. Each case is described in detail: MM-19 (Calgary) received daratumumab (Dara), lenalidomide, and dexamethasone (Dex), and then had a second exposure to Dara, following relapse. At this second relapse, WGS was performed on two independent extramedullary disease localizations in the liver. Both samples had unique, large deletions (>3 Mb) on chromosome 4 coupled with additional unique focal deletions involving CD38. Flow confirmed the presence of CD138+/CD38- plasma cell populations in both sites. A second case of convergent evolution was seen in a patient (Mayo) after seventh-line Dara/Len/Dex. WGS revealed a common deletion encompassing CD38. On the remaining allele, one subclone had a structural variation-mediated loss of CD38(cancer cell fraction; CCF 40%) while another harbored an L153H missense mutation (CCF 60%). Flow confirmed presence of two CD138+ clones; one with diminished CD38 expression. L153H was functionally validated to abrogate Dara binding, while maintaining CD38 expression. The third sample was collected after fifth-line Dara and sixth-line Dara/Bortezomib/Dex (Heidelberg) and represents another case of convergent evolution with a common loss of chromosome 4 and two subclones detected by WGS (P98Lfs*12, CCF 39% resulting in biallelic inactivation; R140G, CCF 61%). Bulk RNAseq revealed, in comparison to NDMM from CoMMpass, CD38 expression below the first decile. Notably, the R140G variant reduced binding affinity to Dara but not to Isatuximab (Isa). A fourth case (Mayo) relapsing after 6 months of Dara-based therapy similarly had a focal deletion of CD38 with an L18Sfs*16 frameshift deletion on the remaining allele associated with a 4.35-fold reduction in CD38 expression by RNAseq compared to pre-treatment. Interestingly, in 3/4 cases the CD38-negative clone emerged after a second exposure to anti-CD38 MoAb, suggesting emergence with the first exposure and then selection during the second. One other monoallelic event (C275Y; Heidelberg) was detected post-Isa. Copy number of the alternate allele is not known given targeted sequencing methodology, but the variant was seen to reduce binding affinity to both Dara and Isa. The prevalence of monoallelic loss of CD38 in newly diagnosed MM from MMRF CoMMpass was 7% (50/701) and two patients had mutations in CD38, but there were no cases of biallelic loss suggesting these events are driven by treatment pressure. Conclusion Distinction of the mode of CD38 loss is valuable for predicting outcome of re-challenge to anti-CD38 MoAbs. We see here an estimated 5-10% of anti-CD38 MoAb relapses are characterized by genomic antigen escape. Results here are in line with antigen escape to BCMA- and GPRC5D-directed immunotherapies (Lee et al, Nat Med 2023), suggesting that acquired antigen escape resulting from prolonged exposure to the selective pressures of immunotherapy is a recurrent mechanism of resistance in MM. Moreover, in select cases, non-overlapping resistance mutations provide rationale for switching agents at second exposure.

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.

Introduction: Multiple myeloma (MM) with t(11;14)(q13;q32), resulting in CCND1;IGH rearrangement, remains the only subset amenable to targeted therapy with the BCL2 inhibitor, Venetoclax. Nevertheless, not all patients with this translocation respond to treatment and some progress early after initial response. The mechanisms behind this clinical heterogeneity are largely unknown. Methods: To investigate mechanisms of heterogeneity in response to Venetoclax, we interrogated 44 whole genome sequencing (WGS) and 24 whole exome sequencing data from a training cohort including 33 patients with t(11;14) MM treated with Venetoclax at the Mayo Clinic. In a validation cohort, we extracted single nucleotide variants (SNV) and indels from 17 MM patients with t(11;14) with available RNAseq data treated with Venetoclax at Emory University. Results: In the training cohort the median number of lines of therapy was 4 and Venetoclax drug regimens included combinations with dexamethasone, proteasome inhibitors, anti-CD38 agents, and immunomodulatory agents. After a median follow up of 30 months, the median progression free survival (PFS) was 9 months, and 13 patients (39%) achieved a complete remission (CR) to therapy, while 9 (27%) were refractory (i.e. no response or progressed within the first 60 days). For our driver discovery analysis, we integrated SNV, indels, copy number variants (CNV) and structural variants (SV). Deletion 17p (del17p) or TP53 mutation, MCL1 gain/amp, and hyper-APOBEC did not correlate with PFS in our cohort (p=0.59, p=0.71, and p=0.05, respectively). In contrast, mutations involving the MAPK pathway (NRAS, KRAS, BRAF, FGFR3) displayed the strongest association with short PFS, which was retained after adjusting for del17p/TP53 mutations, and 1q gain/amp (HR: 4.76, CI: 1.8-12.9, p=0.002). The association between suboptimal response and resistance to Venetoclax in MM patients with MAPK pathway mutations (n=7) was also observed in our validation cohort from Emory University (p=0.046). This is in line with what has been reported in functional studies in acute myeloid leukemia, where RAS pathway promotes MCL1 under the selective pressure of Venetoclax (Zhang et al. Signal Transduct Target Ther 2022). While MAPK mutations explained most cases of refractory patients (86%), the mechanisms through which initially responding patients subsequently progressed remain unclear. To investigate this, we interrogated 10 patients with pre- and post-treatment samples collected at disease progression (PD). We identified genomic events acquired/selected at PD of genes involved in the anti-apoptotic MCL1/BCL2 and MAPK pathways in 6/10 cases. One patient was refractory to Venetoclax and had double minutes involving BCL2, which caused multiple focal amplifications (>30 copies), likely reflecting extrachromosomal DNA. Another patient progressed with an acquired, focal deletion on BCL2L11. In two patients, the progressing clones harbored mutations in MAPK pathways (one BRAF and the other WNK2). Two patients who relapsed after sustained CR had major branching evolution where a previously undetectable focal deletion of PMAIP1 (NOXA) was seen at PD. Importantly, one of these deletions was a biallelic event. Venetoclax sensitivity assays conducted on PMAIP1 knockout in the MM t(11;14) cell line, KMS12PE, demonstrated significantly reduced cell death across all drug concentrations (p<0.05), validating the loss of NOXA as a mechanism of resistance to Venetoclax in MM. Finally, similarly with what was previously reported in chronic lymphocyte leukemia treated with Venetoclax (e.g., Herling et al Nat Comm 2018), CDKN2A/B monoallelic and biallelic focal deletions were selected post-Venetoclax, at PD in 4 patients while TP53 SNV/deletions were selected from subclonal to clonal in 2 patients at PD. Conclusion: In this study, we demonstrate that mutations involving the MAPK pathway identify a population of MM patients with t(11;14)(CCND1;IGH) who are unlikely to respond to Venetoclax. We also show that genomic events involving the MAPK and BCL2/MCL1 pathways are primarily responsible for disease progression after initial response. These findings highlight the critical role of comprehensive genomic profiling through WGS in identifying mechanisms of resistance to targeted therapies in MM, aiding patient selection for Venetoclax, and guiding the development of novel drug combinations.