Miguel, Jesús F. San

Solitary plasmacytomas (SPs) are rare localized tumors of clonal plasma cells, either in the bone (solitary bone plasmacytoma) or in soft tissue/extraosseous (extramedullary) with either no or with minimal bone marrow (BM) infiltration (<10% clonal plasma cells by immunohistochemistry) and no evidence of systemic involvement or myeloma defining events. Approximately 50% of SPs will progress to symptomatic myeloma within 5 years after initial definitive local radiotherapy. Increased availability of improved diagnostic and monitoring tools has increased the sensitivity of detection of additional lesions and marrow involvement and has implications for the follow-up strategy after treatment. Thus, the definitions and requirements for the diagnosis and follow-up of SPs are evolving. The diagnosis of SP requires the careful exclusion of multiple myeloma (MM) that would require systemic therapy, by using all the available methods to detect systemic disease (advanced imaging, sensitive BM assessment methods, blood and urine tests). Local radiotherapy remains the mainstay of therapy, and despite the availability of innovative drugs for MM, the clinical benefit of systemic therapy currently remains poorly defined. The International Myeloma Working Group provides here updated recommendations for the diagnosis, evaluation, treatment, and response assessment of patients with SPs, incorporating recent data and advances in diagnostic tools.

Abstract Both the phase 3 MAIA and ALCYONE studies demonstrated significant survival benefit with the addition of daratumumab to standard-of-care Rd (Revlimid [lenalidomide] and dexamethasone; D-Rd) or to VMP (Velcade [bortezomib], melphalan, and prednisone; D-VMP), respectively, vs Rd or VMP alone in transplant-ineligible newly diagnosed multiple myeloma (NDMM). Patients with NDMM are highly susceptible to infection; therefore, gaining a greater understanding of infection incidence may help to mitigate future risk. We conducted a pooled analysis of infection incidence, timing, and management strategies from MAIA and ALCYONE. The median (range) age of the pooled population was 72 (40-93) years. Incidence was higher with D-Rd/D-VMP vs Rd/VMP for grade 3/4 (36.9% vs 22.4%) and grade 5 (3.0% vs 1.5%) infections; however, exposure-adjusted incidence rates were generally comparable between groups. Any-grade infections led to the discontinuation of study treatment in ∼2% of patients across treatment groups. Of the timing intervals explored, the highest incidence of grade 3/4 infection occurred within the first 6-month interval of study treatment initiation in both groups. Median time to the first onset of grade 3/4 infections (per Kaplan-Meier estimates) was 83.3 months and not estimable in the D-Rd/D-VMP and Rd/VMP groups, respectively. Although the rates of D-Rd/D-VMP treatment discontinuation due to infection remained low in MAIA and ALCYONE, clinicians should remain vigilant about infections throughout treatment and follow local guidelines and International Myeloma Working Group recommendations to minimize the risk of infection. These trials were registered at www.ClinicalTrials.gov as NCT02252172 (MAIA) and NCT02195479 (ALCYONE).

Despite significant improvements in survival of patients with multiple myeloma (MM), outcomes remain heterogeneous, and a significant proportion of patients experience suboptimal outcomes. Importantly, traditional prognostic factors based on data from patients treated with older therapies no longer capture prognosis accurately in the contemporary era of novel triplet or quadruplet therapies. Therefore, risk stratification requires refinement in the context of available and investigational treatment options in routine practice and clinical trials, respectively. The current identification of high-risk MM (HRMM) in routine practice is based on the Revised International Staging System, which stratifies patients using a combination of widely available serum biomarkers and chromosomal abnormalities assessed via fluorescence in situ hybridization. In recent years, a substantial body of evidence concerning additional clinical, biological, and molecular/genomic prognostic factors has accumulated, along with new MM risk stratification tools and consensus reports. The International Myeloma Society, along with the International Myeloma Working Group, convened an Expert Panel with the primary aim of revisiting the definition of HRMM and formulating a practical and data-driven consensus definition, based on new evidence from molecular/genomic assays, updated clinical data, and contemporary risk stratification concepts. The Panel proposes the following Consensus Genomic Staging (CGS) of HRMM which relies upon the presence of at least one of these abnormalities: (1) del(17p), with a cutoff of >20% clonal fraction, and/or TP53 mutation; (2) an IgH translocation including t(4;14), t(14;16), or t(14;20) along with 1q+ and/or del(1p32); (3) monoallelic del(1p32) along with 1q+ or biallelic del(1p32); or (4) β2 microglobulin ≥5.5 mg/L with normal creatinine (<1.2 mg/dL).

Abstract Accurate prediction of risk of progression from smoldering (SMM) to active multiple myeloma (MM) is paramount to individualized early therapeutic strategies with minimum risk of overtreatment. Current risk stratification models do not account for evolving biomarker trajectories. We assembled the largest cohort to date of 2,270 SMM patients from six international centers with longitudinal clinical and biological data to train and validate the PANGEA 2.0 risk models. Four evolving biomarkers were significantly associated with shorter time-to-progression: M-protein increase ≥0.2g/dL, involved:uninvolved serum free light chain ratio increase ≥20, creatinine increase >25%, and hemoglobin decrease ≥1.5g/dL. PANGEA 2.0 outperforms established models including the 20/2/20 and IMWG models by more accurately predicting progression (C-statistics=0.69–0.84), even without biomarker history (C-statistics=0.69–0.83) or recent bone marrow biopsy. PANGEA 2.0 is an easy-to-use, open-access tool (https://ghobrial.shinyapps.io/pangea_2_calculator) to improve and individualize SMM risk stratification. Validation tools are available to compare PANGEA 2.0 to established models (https://ghobrial.shinyapps.io/pangea_validation).

PURPOSE Newly approved drugs and combinations treating multiple myeloma (MM) have resulted in substantial improvements in patients' survival. To deliver rapid access to newer therapies, an earlier end point to expedite clinical trials is needed. Our objective was to evaluate the minimal residual disease–negative complete response (MRD-CR) as an intermediate end point for progression-free survival (PFS) and overall survival (OS) in newly diagnosed (ND) transplant-eligible (NDTE) patients, ND transplant-ineligible (NDTinE) patients, and patients with relapsed/refractory (RR) MM. PATIENTS AND METHODS Individual patient data from 20 randomized multicenter trials were collected. Eleven studies (4,773 patients) with sufficient data were analyzed to evaluate whether 9- or 12-month MRD-CR classified at a 10 –5 threshold could be reasonably likely to predict the clinical benefit of new agents regarding PFS and OS. Global odds ratio (OR) was estimated using the bivariate Plackett Copula model. Supportive evaluation included correlations of the treatment effects on MRD-CR end points and PFS/OS, evaluated by both linear regression ( R 2 weighted least squared ) and Copula ( R 2 Copula ) models. RESULTS The analysis demonstrated that both 9- and 12-month MRD-CR strongly correlated with PFS at patient level in NDTE patients, NDTinE patients, and patients with RRMM. Global ORs ranged from 3.06 to 16.24, all with 95% CIs excluding 1.0. Encouraging trial-level correlations ( R 2 , 0.61-0.70) were observed by pooling three populations and were stronger ( R 2 , 0.67-0.78) in the ND population. Similar results were observed for OS. CONCLUSION Our findings provided the support for use of MRD-CR classified at a 10 –5 threshold at either 9 or 12 months after starting of the treatment, as an intermediate end point to support accelerated approvals, in future trials in NDTE patients, NDTinE patients, and patients with RRMM.

Background: Anti-BCMA CAR T cells are a new standard of care for the treatment of RRMM patients. Hence, it is paramount to identify determinants of response and resistance for individualized approaches. There is emerging data about the importance of depth of response in prolonged progression-free survival (PFS) and of genetic antigen escape in treatment resistance. By contrast, there is limited understanding of how patient' outcomes are shaped by immune fitness prior aphaeresis, and virtually no data about CAR T and endogenous profiles post infusion. Aim: Characterize immune dynamics and investigate its prognostic value in RRMM patients treated with CAR T cells. Methods: Immune profiling was performed using multidimensional and computational flow cytometry in 285 bone marrow aspirates from 120 RRMM patients enrolled in the KarMMa phase 2 trial. In total, 170 immune clusters were identified and systematically quantified in a pileup analysis of samples collected before and at months 1, 3, 6 and 12 after CAR T infusion. Immune scores were developed using cox regression with 10-fold cross-validation. Results: At baseline (n = 63), there were significant associations between the bone marrow immune composition and the number of prior lines of treatment, prior autologous transplant and staging. Namely, there were higher proportions of ICOS, PD1, TIGIT and TIM3 positive cells within the CD4+ and CD8+ T cell compartments from heavily pretreated patients and those with R-ISS 3. A baseline immune score defined by the percentages of GrzmB+HLADR+ cytotoxic NK cells, TIGIT+ Tregs, CD4+CD127+ICOS+ and CD4+CD25+CD127+TIGIT+, CD8+TIGIT+, CD8+GrzmB+HLADR+ and CD8+CD27+CD95+CD45RAloCD197lo T cells was associated with PFS. Patients with low vs high risk immune score at baseline had median PFS of 25 vs 6 months, respectively (p &lt; .001). Interestingly, there were no significant associations between the baseline risk score and treatment or staging, suggesting potential complementarity of immune profiling with other prognostic factors. At month 1 after infusion (n = 55), the presence of &gt;1% vs &lt;1% CAR T cells was associated with longer PFS (medians of 20 vs 8 months, p = .002). In addition to the magnitude of CAR T persistence, it was interesting to observe increased percentages of CD8+ CAR T cells in patients with &lt;5 prior lines of therapy, of CD4+HLADR+ and CD8+TEMRA CAR T cells in patients with R-ISS 1/2, as well as of PD1+TIM3+ CD4+ and CD8+ CAR T cells in patients with R-ISS 3. Moreover, the phenotype of CAR T cells was associated with PFS. Patients with low vs high risk immune score (ie, based on the percentages of CD4+CD57+, CD8+CD27-EM, CD8+PD1+TIM3+ and CD4+CD8+ CAR T cells) had median PFS not reached vs 11 months, respectively (p &lt; .0001). Similarly to the above, there were no significant associations between the CAR T immune risk score and treatment or staging, suggesting potential complementarity of CAR T quantification and phenotyping post-infusion with other patient' characteristics. Next, we investigated endogenous T cell dynamics in 51 RRMM patients with paired samples prior and after CAR T infusion. There were significant differences in the frequencies of 30 immune clusters, including CD27+ naïve and EM CD4+ and CD8+ T cells, ICOS+ and TIGIT+ Tregs, CD4+ and CD8+ T cells, as well as of CD25+CD127+ CD4+ and CD8+ T cells. Furthermore, an immune risk score defined at the latest available time point (n = 95) was associated with PFS (p &lt; .0001). Patients with lower levels of GrzmB+ cytotoxic NK cells and of immunoregulatory HLADR- NK cells, as well as of CD4+CD27+CD95+CM, CD4+HLADR+, CD8+PD1+ and CD8+CD27-CD95+EM T cells showed a high risk score and a median PFS of 6 vs 20 months in patients with low risk immune score. Conclusions: This is one of the largest dynamic studies of immune profiling in a clinical trial investigating anti-BCMA CAR T cells in RRMM. Our results uncovered that patient' immune status is shaped by prior treatment and staging, and that the distribution of different NK, Treg, CD4+ and CD8+ T cells prior aphaeresis is associated with PFS. Furthermore, the phenotype of CAR T cells at month 1 after infusion may be as prognostic as its percentage. We also showed how treatment with CAR T cells modulates the bone marrow immune composition and how it may contribute to immune escape vs surveillance. Altogether, this study supports immune profiling for improved understanding of response and resistance to CAR T cells in RRMM.

Background: SAR442257 (SAR'257) is a trispecific antibody that targets CD38, CD3 and CD28. Simultaneous CD3 and CD28 binding triggers T cell co-signaling, and additional CD38 recognition directs the T cells to CD38+ cancer cells such as multiple myeloma (MM) and non-Hodgkin lymphoma (NHL). This is a first-in-human phase 1 study investigating the safety, efficacy, pharmacokinetic (PK) and pharmacodynamic (PD) profile of SAR'257 in patients (pts) with refractory and relapsed (rr) MM and rrNHL. Methods: This is a multicenter, international, open-label, dose-escalation study (NCT04401020) of SAR'257 in pts with rrMM refractory to standard-of-care (SOC) options, including anti-CD38 monoclonal antibodies, and in pts rrNHL without any SOC options. SAR'257 was administered intravenously with lead-in doses (Day 1−5) in the first week, followed by twice weekly (BIW) or once weekly (QW) dosing; 11 target dose levels (TDLs) in pts with rrMM (9 TDLs: 0.06-11 µg/kg BIW; 2 TDLs: 18-27 µg/kg QW), and 2 TDLs in pts with rrNHL (2 µg/kg BIW and 4 µg/kg QW). Results: As of February 19, 2024, 47 pts (rrMM, n=40; rrNHL, n=7) received SAR'257. The median ages (years) were 64 (rrMM; range: 40−84) and 70 (rrNHL; range: 18−75). The median number of prior lines was 5 (range: 3−12) for rrMM and 5 (range: 2−7) for rrNHL cohort. In rrMM cohort, all (100%) pts had prior exposure to an anti-CD38 monoclonal antibody (MAb) and were refractory to anti-CD38 and in rrNHL cohort all were anti-CD38 naïve. The median time from last anti-CD38 dose was 2.7 (range: 1−65) months for rrMM cohort. Safety analysis revealed that 68% (n=32) pts had treatment-emergent adverse events (TEAEs; 26 pts in rrMM and 6 pts in rrNHL); 21.3% pts (n=10) Grade (G) ≥3 TEAEs (7 in rrMM and 3 in rrNHL). Cytokine release syndrome (CRS) was the most common TEAE, occurring in 52.5% of rrMM pts across all TDLs (n=21; G≥3 in 1 pt from 11 µg/kg BIW TDL) and in 57.1% of rrNHL pts (n=4; no G≥3) at the two TDLs tested. Repetitive CRS episodes (&gt;1 episode) were more frequent at higher TDLs. Infusion-related reactions (IRRs; any G) were observed in 22.5% pts with rrMM (n=9; no G≥3) and in 28.5% pts with rrNHL (n=2; G≥3 in 1 pt). Epstein-Barr virus (EBV) infection/reactivation was reported in 17.5% (n=7; G≥3 in 4 pts) and 28.6% (n=2; no G≥3) pts with rrMM and rrNHL respectively. Further, 15% (n=6, G≥3 in 2 pts) from rrMM and 14.3% (n=1; G2 CMV reactivation) pts from rrNHL cohort reported cytomegalovirus (CMV) infection/reactivation. One case of immune effector cell-associated neurotoxicity syndrome (ICANS) was reported (G4) in the rrNHL cohort. Four dose-limiting toxicities (DLTs) were observed in the rrMM cohort [1 at 4 µg/kg BIW (G3 hepatotoxicity); 1 at 11 µg/kg BIW (G5 CRS−EBV reactivation; and 2 at 27 µg/kg QW (G3 CMV infection reactivation and G3 febrile neutropenia in same pt)]. Three DLTs were observed in the rrNHL cohort (2 at 2 µg/kg BIW [G4 neutropenia and G4 thrombocytopenia; same pt] and 1 at 4 µg/kg QW [ICANS G4]). For pts with rrMM, the maximum plasma concentration of SAR'257 reached within or above the theoretical efficacious range (0.1−1nM; extrapolated from ex vivo models), starting at 8 µg/kg BIW and 18 µg/kg QW in the first treatment cycle. As of July 08, 2024, the overall response rate (ORR), defined as partial response (PR) or better, was 5% (n=2) in the rrMM cohort: 1 pt exhibited stringent complete response (duration of response [DOR]=8.1 months, on-going) and 1 showed a complete response (CR) at 27 µg/kg QW TDL. In rrNHL cohort, the ORR was 14.3%, 1 pt achieved PR (DOR=7.1 months) at 2 µg/kg BIW TDL. The disease control rate (stable disease or better for &gt;8 weeks) was 60% (n=24) and 28.6% (n=2) in the rrMM and rrNHL cohorts respectively. For both cohorts exploratory biomarker analysis revealed that: (1) SAR'257 treatment activated peripheral blood T cells and reduced regulatory T cell numbers and CD4/CD8 ratio; (2) CD38 expression on plasma cells positively corelated with time since the last anti-CD38 MAb dose; (3) Among the pts experiencing CRS, the peak values of cytokines (Interleukin (IL)-6, IL-8, and C-reactive protein) were significantly higher during the first cycle in comparison to subsequent cycles. Conclusion: This Phase 1 study of SAR'257 showed an anti-tumor response in a small number of pts from the rrMM and rrNHL cohorts. Due to safety concerns, in particular high rates of EBV and CMV reactivation and recurrent episodes of CRS in the higher dose levels, the study was terminated during dose escalation.

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