Supplemental Figure 25 shows the longitudinal evaluation of cancer-testis antigen gene expression and genetic aberrations in patient 1671.

Multiple myeloma is a malignancy of clonally expanded plasma cells shaped by complex interactions with the immune microenvironment (IME). To investigate immune correlates of treatment response and disease progression, we conducted multi-omics profiling including CD138neg single-cell RNA sequencing of 243 bone marrow samples from 102 patients (631,226 cells) and CD138pos bulk RNA and whole-genome sequencing from 209 samples. In longitudinal analyses, interferon-γ signaling associated with markers of impaired T-cell memory after autologous stem cell transplant, whereas naïve B-cell abundance and immunoglobulin diversity correlated with improved progression-free survival (HR = 0.48; P = 2.3e-4). At disease progression, multiple myeloma cells upregulated cancer-testis antigens (CTAg) and immune effector genes, with concurrent B-cell depletion, enrichment of myeloid-derived suppressor cell expression, and phenotypic T-cell exhaustion. These findings highlight dynamic immune-tumor interactions, identifying naïve B-cell reconstitution as a biomarker of durable response and CTAgs as potential targets for high-risk disease at progression. SIGNIFICANCE:Longitudinal profiling of multiple myeloma and the IME revealed dynamic immune-tumor interactions across the disease course. Altered expression in CD8+ T cells limited memory phenotype after transplant, whereas naïve B-cell recovery associated with sustained treatment response. At progression, CTAg expression associated with immunosuppression, revealing novel mechanisms of immune dysregulation.

Supplemental Figure 22 shows the longitudinal evaluation of cancer-testis antigen gene expression and genetic aberrations in patient 1030.

Supplemental Figure 12 shows the distribution of clinical features and outcomes comparing high and low Shannon index groups.

Supplemental Figure 6 shows the distribution of clinical characteristics in the induction and induction with ASCT cohorts.

Supplemental Figure 16 shows the comparison of outcomes between patients with and without enrichment for cancer-testis antigen genes.

Supplemental Figure 9 shows the differential expression and communication analyses for CD8+ T cells after induction without ASCT. Serves as a comparison point to the panels in Figure 2 that show the comparable analyses in CD8+ T cells after induction with ASCT.

ABSTRACT:The B-cell maturation antigen (BCMA)-targeting bispecific T-cell engager pavurutamab (AMG 701) directs the cytotoxic T-cell response toward multiple myeloma (MM) cells. This phase 1/1b, open-label, dose-exploration and dose-expansion study evaluated the safety, tolerability, and efficacy of pavurutamab monotherapy in patients with triple-class relapsed/refractory MM (RRMM). Pavurutamab (5-18 000 μg) was administered IV weekly with step-up dosing in week 1. Overall, 172 patients received at least 1 dose of pavurutamab; 73 received the recommended phase 2 dose (RP2D; 18 000 μg), with 2 different step-up dosing regimens in phase 1b. Twelve patients had dose-limiting toxicities, which included cytokine release syndrome (CRS) and increased transaminases; none of which occurred at the RP2D. The most frequently reported treatment-emergent adverse events included CRS (74.4%), anemia (61.0%), neutropenia (47.1%), and hypophosphatemia (45.3%). Grade ≥3 infections were noted in 60 patients (34.9%). The overall response rate (ORR) was 46.5% among all patients and 65.8% (very good partial response [VGPR] or better, 60.3%) among 73 patients treated at the RP2D. At median follow-up of 17.2 months, median duration of response (DOR) was 36.6 months (95% confidence interval [CI], 22.3 to not estimable). Median progression-free survival (PFS) for all patients was 5.5 months (95% CI, 2.8-10.1) and 16.8 months (95% CI, 5.0 to not estimable) with the RP2D. Pavurutamab exposure generally increased in a dose-proportional manner, with high soluble BCMA levels correlating with lower exposure level. The acceptable safety profile, pharmacokinetics, and preliminary efficacy of pavurutamab supports anti-BCMA T-cell engager therapy in heavily pretreated patients with RRMM. This trial was registered at www.clinicaltrials.gov as NCT03287908.

Supplemental Figure 26 shows the longitudinal evaluation of cancer-testis antigen gene expression and genetic aberrations in patient 2089.

Although treatments have greatly improved outcomes in patients with newly diagnosed multiple myeloma (MM), most patients will relapse after initial therapy and require subsequent treatment. With the wide variety of available treatment regimens (including new combinations of approved therapies) and the need to tailor MM treatment based on disease- and patient-centric factors, it can be challenging to select an appropriate treatment at first relapse. This decision should also consider the effect of second-line therapy on future treatment options for eligible patients, particularly chimeric antigen receptor T-cell (CAR-T) therapy and other T-cell-engaging therapies (eg, bispecific antibodies) targeting B-cell maturation antigen or other tumor antigens. Treatment selection should prioritize therapies with the greatest survival benefit to reduce risk of attrition with subsequent lines of therapy. Key considerations include patient age, performance status, comorbidities, cytogenetics, prior drug exposure, and duration of response to initial therapy. Furthermore, early referral before CAR-T therapy is highly recommended to prepare for treatments received before apheresis (ie, holding therapy) as well as treatments received during CAR-T manufacturing, between apheresis and CAR-T infusion (ie, bridging therapy). The timing of referral for CAR-T therapy is critical, as CAR-T manufacturing may require 3-4 weeks or longer depending on product, during which time, disease progression may occur without effective bridging therapy. In this article, we provide insights from experienced physicians on approaches for optimizing second-line therapy in patients with MM who have relapsed after initial treatment.

Supplemental figure 1 displays the patient characteristics of the CoMMpass cohort and the longitudinal immune atlas cohort.

Multiple myeloma (MM) remains incurable despite advances in treatment options. Although tumor subtypes and specific DNA abnormalities are linked to worse prognosis, the impact of immune dysfunction on disease emergence and/or treatment sensitivity remains unclear. We developed an Immune Atlas of MM by generating profiles of 1,397,272 single cells from the bone marrow (BM) of 337 newly diagnosed participants and characterized immune and hematopoietic cell populations. Cytogenetic risk-based analysis revealed heterogeneous associations with T cells of BM, with 17p13 deletion showing distinct enrichment of a type 1 interferon signature. The disease progression-based analysis revealed the presence of a proinflammatory immune senescence-associated secretory phenotype in rapidly progressing participants. Furthermore, signaling analyses suggested active intercellular communication involving a proliferation-inducing ligand and B cell maturation antigen, potentially promoting tumor growth and survival. Lastly, using independent discovery and validation cohorts, we demonstrated that integrating immune cell signatures with known tumor cytogenetics and individual characteristics significantly improves stratification for the prediction of survival. Pilcher et al. present a single-cell transcriptomics-based immune atlas of participants with newly diagnosed multiple myeloma, reporting on the association of cell types, gene expression and intercellular interactions with disease progression phenotypes.

Supplemental Figure 18 shows the comparison of mutations in genes for chromatin modifying proteins between samples with and without enrichment for cancer-testis antigens.

Supplemental Figure 2 shows the distribution of cell types across time points and patients.

Abstract Background: Multiple myeloma is the second most common adult blood cancer and remains incurable, despite recent advances. The IMWG/IMS recently published updated risk criteria, Consensus Genomic Staging (CGS), combining genomic events with clinical measures to identify high-risk patients (Avet-Loiseau, et al. JCO 2025). We applied CGS risk criteria to baseline samples from the Multiple Myeloma Research Foundation CoMMpass Study (NCT01454297), a prospective, longitudinal observational study that enrolled more than1100 participants between 2011-2017. Methods: We assessed patient risk following CGS criteria. Criteria 1: del(17p), with a cutoff of >20% clonal fraction, and/or TP53 mutation. Criteria 2: an IgH translocation including t(4;14), t(14;16), or t(14;20) along with 1q+ and/or del(1p32). Criteria 3: monoallelic del(1p32) along with 1q+ or biallelic del(1p32). Criteria 4: beta-2 microglobulin >= 5.5 mg/L with normal creatinine. Patients meeting one or more criteria were classified as High Risk. To test if risk showed association with genetic ancestry, we grouped patients into those with high African genetic ancestry and those with low African genetic ancestry. Genetic ancestry was measured using ADMIXTURE in comparison to 1000 Genomes. Results: We evaluated the CGS risk status of 877 CoMMpass patients, finding 69.2% (573/828) to be Standard Risk (SR) and 30.8% (255/828) to be High Risk (HR). HR patients showed worse progression-free survival (median PFS 26.3 months vs. 42.5 months; log rank test, p < 0.0001) and overall survival (median OS 63.9 months vs. median not reached; p < 0.0001). 10.6% (91/858) of patients met Criteria 1, 10.7% (93/873) met Criteria 2, 5.6% (49/877) met Criteria 3, and 8.7% (73/835) met Criteria 4. We found 14.2% (123/867) of patients to have high African-like genetic ancestry (AFR-high) and 85.8% (744/867) to have low African-like genetic ancestry (AFR-low). We observed significantly fewer HR patients within the AFR-high group (20%, 23/115) than in the AFR-low group (32.4%, 231/712) (Fisher’s exact test, p = 0.0065). The AFR-high group met HR criteria at a lower rate across all criteria, but only with Criteria 3 was the difference significant (p-value = 0.03). Higher levels of creatinine in AFR-high patients may have impacted meeting the normal creatinine requirement of Criteria 4. Conclusions: HR patients comprise 30.8% of CoMMpass subjects and show significantly worse PFS and OS than SR patients. AFR-high patients met HR criteria at a lower rate than AFR-low patients according to the CGS criteria. Clinical trials that utilize CGS criteria to determine patient eligibility may be challenged to enroll a representative patient population, including AFR-high patients. Screening and eligibility criteria should be carefully considered to mitigate potential enrollment disparities. Citation Format: Steven M. Foltz, Chaitanya R. Acharya, Alexander Gout, Yuxin Jin, David E. Avigan, Ravi Vij, Shaji Kunnathu Kumar, Sagar Lonial, Hearn Cho, Katie Wozniak, Jonathan J. Keats, Craig Cole, John D. Carpten, George J. Mulligan. Multiple myeloma risk classification of CoMMpass using Consensus Genomic Staging identifies differences between patients with high and low African genetic ancestry [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 3887.

Supplemental Figure 17 shows the comparative rate of common myeloma cytogenetic alterations and mutations in patients with and without cancer-testis antigen enrichment.

Supplemental Figure 20 shows the comparison of plasma cell percentage between patients with and without cancer-testis antigen enriched myeloma.