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Immunotherapies have transformed the clinical care of patients with cancer. Bispecific T cell engagers (TCEs) have recently entered early-phase clinical trials of multiple myeloma (MM) and shown remarkable response rates even in heavily pretreated patients. However, T cells are heterogeneous with respect to phenotype, function and specificity for tumor antigens and currently we have limited understanding how to identify and monitor tumor specific T cells in hematological malignancies. It is furthermore unclear why individual patients fail to elicit an antitumor immune response upon treatment with TCEs and whether a persistent T cell response to TCEs relies on reinvigoration of pre-existing tumor-infiltrating lymphocytes or on recruitment of novel T cells. Here we performed longitudinal paired single-cell RNA and T cell receptor (TCR) sequencing on >100,000 immune cells from patients with MM before, during and after TCE therapy. We defined transcriptional gradients of MM-infiltrating immune cells between n=5 healthy bone marrow donors, n=10 newly diagnosed MM patients and n=11 refractory MM patients undergoing immunotherapy with bispecific BCMA-targeting antibodies. By tracking T cell clones over time using their TCR as individual barcode, we further integrated these longitudinal in vivo data with protein-level analysis and functional validation in MM bone-marrow cultures exposed to TCEs. Refractory MM patients exhibited a highly individual bone-marrow immune composition, that was significantly perturbed compared to healthy or diseased, but therapy-naïve bone marrow. We observed that the inter-patient heterogeneity in the T cell landscape composition is superimposed by conserved TCR repertoire dynamics forming a trajectory between early anti-tumor effector states and exhaustion. In all patients, we observed a dichotomy of TCE-responsive versus TCE-refractory T cell clones. Longitudinal tracking of TCE-responsive T cell clones and their transcriptional phenotypes revealed coupling of tumor recognition, clonal expansion and T cell dysfunction marked by expression of cytotoxicity (GZMB, GNLY) and terminal exhaustion markers, such as TOX and CD39. Significant clonal replacement of T cells was evident in n=5 clinically responding patients with MM throughout continued TCE therapy and driven by a subset of non-exhausted, naïve-like CD8 + T cells. The top 1% TCE-responsive clones were fate-determined and either followed a memory-exhaustion or cytotoxicity trajectory. Patients who did not respond to TCE therapy exhibited a dysfunctional T cell landscape before therapy that limited clonal expansion and TCR persistence. As proof-of-concept, we matched single-cell profiling data of n=10 individual patients with protein-level analysis and functional validation of TCE-driven T cell expansion in vitro, providing the first signals of preferential expansion of specific fate- and avidity-determined clones upon TCE-mediated stimulation. We propose the mode of action of TCE therapy in MM to be driven by pre-existing T cell fate commitments that determine clonotype diversification and persistence, and ultimately, clinical response. Our results further demonstrate that clinical TCE response derives from a distinct repertoire of pre-existing T cell clones, whereas other clonotypes are functionally excluded from the repertoire and subsequently lost during therapy. We define the determinants of response to TCE treatment to be inherent to the individual's T cell repertoire before therapy. Our results provide the rationale for response prediction and monitoring of future immunotherapy approaches in MM patients beyond TCE therapy. Figure 1 Figure 1. Disclosures Neri: BMS: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Sanofi: Consultancy, Honoraria; Amgen: Consultancy, Honoraria. Goldschmidt: Amgen: Consultancy, Honoraria, Other: Grants and/or Provision of Investigational Medicinal Product, Research Funding; Adaptive Biotechnology: Consultancy; Celgene: Consultancy, Honoraria, Other: Grants and/or Provision of Investigational Medicinal Product, Research Funding; BMS: Consultancy, Honoraria, Other: Grants and/or Provision of Investigational Medicinal Product, Research Funding; Chugai: Honoraria, Other: Grants and/or Provision of Investigational Medicinal Product, Research Funding; GSK: Honoraria; Incyte: Research Funding; Janssen: Consultancy, Honoraria, Other: Grants and/or Provision of Investigational Medicinal Product, Research Funding; Johns Hopkins University: Other: Grant; Molecular Partners: Research Funding; MSD: Research Funding; Mundipharma: Research Funding; Novartis: Honoraria, Research Funding; Dietmar-Hopp-Foundation: Other: Grant; Sanofi: Consultancy, Honoraria, Other: Grants and/or Provision of Investigational Medicinal Product, Research Funding; Takeda: Consultancy, Research Funding. Weinhold: Sanofi: Honoraria. Raab: Abbvie: Consultancy, Honoraria; Roche: Consultancy; GSK: Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees, Research Funding; Sanofi: Membership on an entity's Board of Directors or advisory committees, Research Funding; BMS: Consultancy, Membership on an entity's Board of Directors or advisory committees; Amgen: Consultancy, Membership on an entity's Board of Directors or advisory committees. Bahlis: Amgen: Consultancy, Honoraria; Karyopharm: Consultancy, Honoraria; Genentech: Consultancy; Janssen: Consultancy, Honoraria; BMS/Celgene: Consultancy, Honoraria; Takeda: Consultancy, Honoraria; Abbvie: Consultancy, Honoraria; GlaxoSmithKline: Consultancy, Honoraria; Sanofi: Consultancy, Honoraria; Pfizer: Consultancy, Honoraria.

Multiple myeloma is characterized by recurrent chromosomal translocations that involve the immunoglobulin gene enhancers and partners such as the cyclin D genes (CCND1, CCND2 or CCND3) or other genes like WHSC1 and MAF. t(11;14) results in upregulation of CCND1 with unique morphological, phenotypic markers, and drug sensitivity profiles with exquisite sensitivity to BCL2 inhibitors. It is evident now that this unique sensitivity profile is driven by the BH3-proapoptotic protein priming of BCL2 with high BCL2/MCL1 or BCL2/BCL2L1 ratios. However, the epigenetic mechanisms associated with t(11;14) and their impact on genes regulation and clinical response to venetoclax remains elusive. In the present study we compared the transcriptomics (scRNA-seq) and chromatin accessibility (scATAC-seq) of single plasma cells of MM patients with and without t(11;14) as well as pre- and post-venetoclax exposure in order to establish the epigenomic signature of t(11;14) and/or BCL2-sensitivity in myeloma. Serial BM aspirates (n=24) were collected from 15 relapsed or refractory myeloma patients (RRMM); harboring t(11;14) (n=6 pairs) and 9 without this translocation prior to initiation of salvage therapy and at time of relapse. All t(11;14) MM patients were treated with venetoclax. Unbiased chromatin accessibility and mRNA profiling of CD138 pos cells were performed using the chromium single cell ATAC and RNA-Seq 3' solution (10x Genomics), respectively. Cell Ranger, Seurat and ArchR were used for sample de-multiplexing, barcode processing, single-cell 3' gene, peaks counting, and data analysis. We first compared the scATAC-seq and scRNA-seq profiles found in CD138 pos MM cell isolated from patients harboring t(11;14) with the one obtained in patients without this translocation. As expected, t(11:14) patients had high chromatin accessibility at the CCND1 locus and high mRNA expression. Differentially accessible chromatin analysis identified 147518 peaks that were specific to t(11;14) patients. Of interest, motifs enrichment analysis of accessible peaks identified a "B cell-like" motifs signature with enriched TFs motifs such as TCF4 and PAX5 in t(11;14) patients compared to non t(11:14) enriched for IRF and STAT family of motifs. The integration of the scATAC-seq and scRNA-seq data confirmed the B cell signature of t(11;14) patients with upregulation of B cell markers such as MS4A1, VPREB3, CD79A, CD19, and down-regulation of plasma cell markers such as TDO2, EFEMP1, CD28, SLAMF7, and IL6R. Additionally, we found PAX1, PAX5, TCF3, TCF5, and SPI1 transcription factors to be highly expressed in t(11;14) while the non t(11:14) were enriched for IRF1-9 transcription factors. Of interest, the clustering analysis performed on scATAC-seq data identified 3 non t(11;14) patients with a chromatin accessibility profile similar to that of t(11;14) patients. They expressed B cell markers (PAX5, VPREB3 or FCRLA), overexpressed BCL2 and we are currently examining whether this B cell-like epigenetic signature determines sensitivity to venetoclax. In order to define the epigenetic contribution to the acquired resistance to venetoclax in t(11;14) myeloma, we compared the chromatin accessibility profiles of t(11;14) patients pre- vs. post-venetoclax treatment. Enriched motifs within accessible peaks differed significantly between pre- and post-venetoclax with RELA, REL, RELB and EGR1 motifs predominantly enrichmed in the pre-samples in contrast to JUN, JUNB, JUND and FOSL1/L2 motifs enrichment in the post-samples. Of note, integration analysis of scRNAseq (differentially expressed genes) and ATACseq data (differentially accessible peaks) identified MCL1 and ENSA (a gene 60 Kb centromeric to MCL1 on chr1q) as the top enriched genes and peaks in resistant samples suggesting that copy number gain at the MCL1 locus (which we confirmed by single cell CNV analysis) rather than epigenetic modifications is likely the main determinant of acquired resistant to venetoclax in t(11;14) MM. In the current study we have defined the epigenetic regulome and transcriptome associated with t(11;14) myeloma and its relatedness to B cell rather than plasma cell biology. Our studies also suggest that acquired resistance to venetoclax is largely driven by copy number gain at the MCL1 locus. Disclosures Bahlis: Karyopharm: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Takeda: Consultancy, Honoraria; Sanofi: Consultancy, Honoraria; Abbvie: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; BMS/Celgene: Consultancy, Honoraria; GlaxoSmithKline: Consultancy, Honoraria; Genentech: Consultancy; Pfizer: Consultancy, Honoraria. Neri: BMS: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Sanofi: Consultancy, Honoraria; Amgen: Consultancy, Honoraria.

Chimeric antigen receptor (CAR) T cells targeting the B-cell maturation antigen (BCMA) have resulted in deep responses in patients with relapsed MM however most remissions are not sustained. While cellular and molecular mediators of relapse post CAR T therapy in MM are not fully delineated, current data suggest three possible mechanisms including the lack of persistence of the CAR T cell product, acquired exhaustion and less commonly loss of BCMA expression. Using CITE-seq we measured the expansion of variable T cell subsets, T cell specific activation and inhibitor markers and their functional states in serial blood and marrow samples (n=10) collected from patients treated with BCMA targeting CAR T cells. CAR T cells were identified by the expression of the chimeric CAR T cell transcript. With the exception of one patient where biallelic loss of BCMA was identified at relapse, CAR T cells of resistant patients were enriched with terminally exhausted CD45RA+ cells with loss of CD28, low BCL2L1 (gene encoding BCL-XL) expression, high CD57 with co-expression of checkpoint inhibitors (LAG3, TIGIT and PD1). The lack of persistence of the CAR T cells product was notable in all relapsing patients consistent with an activation induced cells death (AICD) specially in the setting of chronic antigenic stimulation. Cognizant of the role BCL-XL plays in T cells survival in response to CD28 co-stimulatory signaling, we postulated that increasing BCL-XL expression is a feasible strategy to enhance CAR T cell resistant to AICD, improve their persistence and anti-BCMA reactivity. To this goal, we designed a 2nd generation lentiviral CAR construct where the anti-BCAM scFV-41BBz CAR and the BCL2L1 cDNA were linked with self-cleaving 2A sequence. The efficiency in eradicating MM cells of this BCL-XL armored CAR (BCMA_BCL2L1_CAR) was compared to that of non-unarmored CAR (BCMA_CAR) in vitro and i n vivo studies. While BCMA_BCL2L1_CAR and BCMA_CAR were equally cytotoxic to OPM2 MM cells, in MM cell lines expressing the FAS death receptor ligand FASLG (MM1S, OCMY5 and H929) BCMA_BCL2L1_CAR viability and cytolytic activity was significantly superior to that of unarmored BCMA_CAR. Of note, the expression of FASLG, a known interferon response gene, was upregulated in H929 cells when co-cultured with CAR T cells. Importantly, under chronic antigenic stimulation conditions (FIG 1A), where CAR T cells were stimulated every 6 days over a 28 days period with irradiated OPM2 cells, we found no phenotypic difference between BCMA_BCL2L1_CAR and BCMA_CAR with respect to the composition of effector memory T cells (Tem: CCR7− CD45RO+ CD45RA−) or central memory T cells (Tcm: CCR7+CD45RO+CD45RA−) or terminal effector / exhausted T cells. However, under these chronic antigenic stimulation conditions, the CAR T cells viability, proliferation (FIG 1B) and anti-MM cytotoxic activities (FIG 1C) of the BCMA_CAR were dramatically reduced compared to that of the BCL2L1 armored CAR. Furthermore, in initial animal studies where NOD-SCID mice were tail vein injected with 2e6 OPM2 MM cells transduced with a luciferin reporter gene, followed 10 days later by control T cells, BCMA_CAR or BCMA_BCL2L1_CAR T cells IV injection, and despite a skewing to a larger initial disease burden in the BCMA-BCL2L1-CAR group, BCL2L1 armored CAR T cells resulted in more prolonged disease control and animal survival compared to the BCMA_CAR treated mice (FIG 1D). Our studies indicate that BCL2L1 blockade of AICD not only enhanced the viability and proliferation of BCMA targeting CAR T cells but surprisingly also reduced their functional exhaustion. Our findings provide an novel approach for CAR T optimization and overcoming disease relapse resulting from lack of persistence and/or T cells exhaustion. Figure 1 Figure 1. Disclosures Neri: Amgen: Consultancy, Honoraria; BMS: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Sanofi: Consultancy, Honoraria. Bahlis: Sanofi: Consultancy, Honoraria; Takeda: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Genentech: Consultancy; Janssen: Consultancy, Honoraria; Abbvie: Consultancy, Honoraria; GlaxoSmithKline: Consultancy, Honoraria; BMS/Celgene: Consultancy, Honoraria; Karyopharm: Consultancy, Honoraria; Pfizer: Consultancy, Honoraria.