Early relapse following initial therapy for multiple myeloma predicts poor outcomes in the era of novel agents

Navigating High-Risk and Ultrahigh-Risk Multiple Myeloma: Challenges and Emerging Strategies

Despite significant improvement in the outcomes of patients with newly diagnosed multiple myeloma (NDMM) with novel therapies, there is still an underserved high-risk (HR) population that experiences early disease progression and death. With the median survival crossing 10 years, we defined ultrahigh-risk (uHR)MM as MM leading to death within 24-36 months of diagnosis and HRMM as MM leading to death within 36-60 months. Several features have emerged as markers of uHRMM: the co-occurrence of two or more high-risk cytogenetic abnormalities, extramedullary disease, plasma cell leukemia and a high-risk gene expression profiling signature. The heterogeneous risk definition across trials, the few trials available designed for HR patients, and the small HR subgroups in all-comers trials make it difficult to generate recommendations with high levels of evidence. Nevertheless, regardless of treatment administered, several studies consistently showed that achieving and maintaining measurable residual disease negativity is now considered the main factor able to mitigate the adverse prognosis related to baseline features. For fit patients with HR transplant-eligible (TE) NDMM, quadruplet induction/consolidation treatment with anti-CD38 monoclonal antibodies, immunomodulatory agents, proteasome inhibitors and dexamethasone, and autologous stem-cell transplant and maintenance with, if available, at least a doublet combination could be considered the option of choice. For non-TE NDMM, considering the recent data generated and carefully reviewing those upcoming, quadruplet treatment consisting of anti-CD38 monoclonal antibodies, immunomodulatory agents, proteasome inhibitors, and dexamethasone should also be considered. Future trials integrating BCMA-directed novel generation immunotherapies hold great potential for further advancing the treatment landscape in all NDMM patients with HR disease.

Development and Validation of a Prediction Model of Outcome After B-Cell Maturation Antigen-Directed Chimeric Antigen Receptor T-Cell Therapy in Relapsed/Refractory Multiple Myeloma

PURPOSE

Although chimeric antigen receptor T therapy (CAR-T) cells are an established therapy for relapsed/refractory multiple myeloma (RRMM), there are no established models predicting outcome to identify patients who may benefit the most from CAR-T.

PATIENTS AND METHODS

This is an international retrospective observational study including patients with RRMM infused with currently available commercial or academically produced anti-B-cell maturation antigen (BCMA) CAR-T. We describe characteristics and outcomes in Europe (n = 136) and the United States (n = 133). Independent predictors of relapse/progression built a simple prediction model (Myeloma CAR-T Relapse [MyCARe] model) in the training cohort (Europe), which was externally validated (US cohort) and tested within patient- and treatment-specific subgroups.

RESULTS

The overall response rate was 87% and comparable between both cohorts, and complete responses were seen in 48% (Europe) and 49% (the United States). The median time to relapse was 5 months, and early relapse <5 months from infusion showed poor survival across cohorts, with the 12-month overall survival of 30% (Europe) and 14% (the United States). The presence of extramedullary disease or plasma cell leukemia, lenalidomide-refractoriness, high-risk cytogenetics, and increased ferritin at the time of lymphodepletion were independent predictors of early relapse or progression. Each factor received one point, forming the three-tiered MyCARe model: scores 0-1 (low risk), scores 2-3 (intermediate risk), and a score of 4 (high risk). The MyCARe model was significantly associated with distinct 5-month incidence of relapse/progression (P < .001): 7% for low-risk, 27% for intermediate-risk, and 53% for high-risk groups. The model was validated in the US cohort and maintained prognostic utility for response, survival, and outcomes across subgroups.

CONCLUSION

Outcomes of patients with RRMM after CAR-T are comparable between Europe and the United States. The MyCARe model may facilitate optimal timing of CAR-T cells in patient-specific subgroups.

High-risk multiple myeloma: Redefining genetic, clinical, and functional high-risk disease in the era of molecular medicine and immunotherapy

Multiple myeloma (MM) exhibits significant heterogeneity in its presentation, genetics, and treatment response. Despite therapeutic advances, some patients continue to relapse early (ER, <18-months) and rapidly cycle through therapies. Myriad prognostic factors have been identified and incorporated into risk stratification models; however, these produce discordant, often three-tiered outputs that fail to identify many patients destined for ER. Treatment strategies are increasingly focused on disease biology and trials enriched for high-risk (HR)MM, but consensus on the minimum required testing and a succinct, specific, and clinically meaningful definition for HRMM remains elusive. We review the risk-factors, definitions, and future directions for HRMM.

Approach to High-Risk Multiple Myeloma

Improving the outcome of high-risk myeloma (HRMM) is a key therapeutic aim for the next decade. To achieve this aim, it is necessary to understand in detail the genetic drivers underlying this clinical behavior and to target its biology therapeutically. Advances have already been made, with a focus on consensus guidance and the application of novel immunotherapeutic approaches. Cases of HRMM are likely to have impaired prognosis even with novel strategies. However, if disease eradication and minimal disease states are achieved, then cure may be possible.

Predictors and Impact of Timing of Disease Progression Following Primary Therapy in Multiple Myeloma

In multiple myeloma (MM) significant variation in progression-free survival (PFS) and overall survival (OS) is observed. We examined the outcomes of 1557 MM patients stratified into short (<2 years), medium (between 2 and 5 years) and long (>5 years) PFS. Short PFS occurred in 758 patients (48.7%), medium in 561 patients (36.2%), and long in 238 patients (15.3%). Median post-progression PFS was 9.2 months (95% CI: 8.1-11.0) in the short PFS and 33.1 months (95% CI: 29.0-42.1; P < .001) in the long PFS group. Median post-progression OS was 26.6 months (95% CI: 23.9-29.8) in the short PFS and 87.8 months (95% CI: 71.3- NR; P < .001) in the long PFS. Worse survival in the short PFS was irrespective of high risk (HR) fluorescence in situ hybridization (FISH) features, defined as deletion 17p and/or translocation t(4;14), t(14;16), t(14;20). In a multivariable analysis short PFS was associated with HR FISH, extramedullary plasmacytoma, plasma cell labeling index ≥2% at diagnosis, nonimmunoglobulin G isotype, treatment without autologous stem cell transplantation and achieving less than very good partial remission. In conclusion, the duration of the PFS significantly influences survival, regardless of HR cytogenetic features. Therefore, it should be considered an important parameter for risk stratification in patients experiencing a relapse.

Presentation and Outcome of Patients with Multiple Myeloma (MM), Single Centre Experience from Windsor Essex Regional Cancer Centre

Introduction

Outcomes for patients with multiple myeloma has significantly improved through the years. This is mainly related to the use of novel agents.

Methods

This is a retrospective study that reviewed presentation and outcome of 139 patients with multiple myeloma at the Windsor Essex Regional Cancer Centre from Jan. 1, 2015 to Dec. 31, 2019. Median age was 71 years and most patients had higher risk disease (65.5% either R ISS stage II or III). 30% had high risk FISH for myeloma including del.17P, t (4:14), t (14:16) and Gain (1q21). In terms of presentation, 38.8% had anemia (hemoglobin <100g/L), 18.7% had hypercalcemia, 74.1% had skeletal lytic lesions, 38.8% had pathologic fracture and 17.3% had plasmacytoma.

Results

Almost all (92%) of the patients were treated using at least one novel agent (proteasome inhibitor or immunomodulators [ImiDs]). Cyclophosphamide, bortezomib, and dexamethasone (CyBorD) was the most used treatment regimen (48.9%) followed by bortezomib, melphalan and prednisone (BMP) at 28.8% and lenalidomide, dexamethasone (LenDex) at 14.4%. With respect to response to therapy, 51.8% had at least Very good partial response (VGPR), while 9.4% had progressive disease. 33% had autologous stem cell transplant. After a median follow up of 2.4 years, median overall survival was 3.7 years. 2 years overall survival and relapse-free survival were 70% and 83%, respectively.

Discussion

Our study showed comparable outcome for patients with multiple myeloma despite older age and higher risk disease. Outcome is expected to improve with the introduction of more novel agents.

Early relapse within 18 months is a powerful dynamic predictor for prognosis and could revise static risk distribution in multiple myeloma

BACKGROUND

The duration of response to treatment is a major prognostic factor, and early relapse (ER) strongly predicts inferior survival in multiple myeloma (MM). However, the definitions of ER in MM vary from study to study and how to dynamically integrate risk distribution is still unsolved.

METHODS

This study evaluated these ER definitions and further investigated the underlying relationship with static risk distribution in 629 newly diagnosed MM (NDMM) patients from the National Longitudinal Cohort of Hematological Diseases in China (NCT04645199).

RESULTS

These data indicated that early relapse within 18 months (ER18) after initial treatment was the best time point for identifying early progression and dynamic high-risk in MM. The ER18 population (114 of 587, 19.4%) presented with more aggressive biologic features and the inferior response to treatment compared to a reference cohort (p < .001), with a significantly short median overall survival (OS) of 28.9 months. Multivariate analyses confirmed the most significant prognostic value of ER18 on OS in the context of International Staging System stage, elevated lactate dehydrogenase, thrombocytopenia, cytogenetic abnormalities, and treatment (hazard ratio, 4.467; p < .001). The authors also described the specific transitions from static risk profile to dynamic risk distribution and then constructed a mixed-risk-pattern to identify four novel populations with distinct survival (p < .001). Additionally, the authors proposed a second-state model that predicts dynamic risk changes, enabling a complementary role to the Revised International Staging System model in facilitating individualized systematic treatment.

CONCLUSIONS

Collectively, this study concludes that ER18 is a simple and dynamic prognostic predictor in MM. In addition to static risk assessment, dynamic risk plays an important role in survival prediction.

Isatuximab plus carfilzomib and dexamethasone in patients with early versus late relapsed multiple myeloma: IKEMA subgroup analysis

Patients with multiple myeloma (MM) who experience early relapse within 12 months of therapy initiation are considered functional high-risk and represent an unmet need, needing better therapies to improve outcomes. The final IKEMA (clinicaltrials gov. identifier: NCT03275285) progression-free survival (PFS) analysis confirmed the significant PFS improvement reported at interim analysis with isatuximab (Isa) plus carfilzomib and dexamethasone (Kd; Isa-Kd) versus Kd in patients with relapsed MM (updated median PFS: 35.7 vs. 19.2 months; hazard ratio [HR] =0.58, 95% confidence interval [CI]: 0.42- 0.79). This IKEMA subgroup analysis examined efficacy and safety of Isa-Kd versus Kd in patients who experienced early (n=61 [Isa-Kd], n=46 [Kd]) vs. late relapse (n=104 [Isa-Kd], n=72 [Kd]). As expected, more aggressive features in baseline characteristics were observed in early relapse patients. Consistent with IKEMA overall population results, median PFS (early relapse: 24.7 vs. 17.2 months, HR=0.662, 95% CI: 0.407-1.077; late relapse: 42.7 vs. 21.9 months, HR=0.542, 95% CI: 0.355- 0.826), minimal residual disease negativity (MRD-) (early relapse: 24.6% vs. 15.2%; late relapse: 37.5% vs. 16.7%), and MRD- complete response (≥CR) rates (early relapse: 18.0% vs. 10.9%; late relapse: 30.8% vs. 13.9%) were higher with Isa-Kd versus Kd, respectively, in both early and late relapse patients. Grade ≥3, serious treatment-emergent adverse events, and death rates were higher in the late relapse Isa-Kd arm. However, the numbers of deaths were low and treatment exposure was significantly longer in Isa-Kd versus Kd late relapse patients. These results support the addition of Isa to Kd as standardof- care therapy for relapsed and/or refractory MM regardless of relapse timing.

Daratumumab for patients with myeloma with early or late relapse after initial therapy: subgroup analysis of CASTOR and POLLUX

ABSTRACT

High-risk multiple myeloma (MM) is often defined based on cytogenetic abnormalities, but patients who relapse early after initial therapy are considered a functional high-risk group. In the phase 3 CASTOR and POLLUX studies, daratumumab plus bortezomib/dexamethasone (D-Vd) or lenalidomide/dexamethasone (D-Rd) improved progression-free survival (PFS) and overall survival (OS), regardless of cytogenetic risk, and achieved higher rates of complete response or better (≥CR) and minimal residual disease (MRD) negativity vs that with Vd/Rd alone in relapsed/refractory MM. Post hoc analyses of CASTOR and POLLUX evaluated patient subgroups with 1 prior line of therapy based on timing of progression/relapse (early or late) after initiation of first line of therapy. PFS consistently favored the daratumumab-containing regimens across subgroups using both a 24- and 18-month early-relapse cutoff. In the CASTOR/POLLUX pooled data set, daratumumab reduced the risk of disease progression or death by 65% (hazard ratio [HR], 0.35; 95% confidence interval [CI], 0.26-0.48; P < .0001) in the early-relapse (<24 months) subgroup and by 65% (HR, 0.35; 95% CI, 0.26-0.47; P < .0001) in the late-relapse (≥24 months) subgroup. OS also favored the daratumumab-containing regimens in both the early-relapse (HR, 0.62; 95% CI, 0.45-0.86; P = .0036) and late-relapse (HR, 0.67; 95% CI, 0.48-0.93; P = .0183) subgroups in the pooled population using a 24-month cutoff. Rates of ≥CR and MRD negativity (10-5) were higher with daratumumab vs control, regardless of progression/relapse timing. Although daratumumab is unable to fully overcome the adverse prognosis of early relapse, our results support the use of daratumumab for patients with 1 prior line of therapy, including for those who progress/relapse early after initial therapy and are considered to have functional high-risk MM. These trials were registered at www.clinicaltrials.gov as #NCT02136134 (CASTOR) and #NCT02076009 (POLLUX).

IL6Myc mouse is an immunocompetent model for the development of aggressive multiple myeloma

Multiple Myeloma (MM) is a plasma cell neoplasm originating in the bone marrow and is the second most common blood cancer in the United States. One challenge in understanding the pathogenesis of MM and improving treatment is a lack of immunocompetent mouse models. We previously developed the IL6Myc mouse that generates plasmacytomas at 100% penetrance that phenotypically resemble aggressive MM. Using comprehensive genomic analysis, we found that the IL6Myc tumors resemble aggressive MM by RNA and protein expression. We also found that IL6Myc tumors accumulated fusions and missense mutations in genes that overlap significantly with human myeloma, indicating that the mouse is good model for studying disease etiology. Lastly, we derived cell lines from IL6Myc tumors that express cell surface markers typical of MM and readily engraft into mice, home to the bone marrow, and induce osteolytic disease. The cell lines may be useful in developing immunotherapies directed against BAFF-R and TACI, though not BCMA, and may also be a good model for studying dexamethasone resistance. These data indicate that the IL6Myc model is useful for studying development of aggressive MM and for developing new treatments against such forms of the disease.

Efficacy of Autologous Stem Cell Transplantation for Myeloma Patients with Suboptimal Response: A Multicenter Retrospective Analysis

Autologous stem cell transplantation (ASCT) is the standard of care for myeloma patients who achieve partial response (PR) or better after induction therapy. However, its clinical significance in patients with suboptimal response (SR) before ASCT, including stable disease (SD) and progressive disease (PD), has not been established. Additionally, functional high-risk, including SR and early PD within 12 months, was a poor prognostic factor up to now. This study aimed to evaluate the efficacy of ASCT in myeloma patients with SR in the novel agent era. This multicenter retrospective study was conducted using the Transplant Registry Unified Management Program database of the Japanese Society of Transplantation and Cellular Therapy and included 3898 transplantation-eligible patients with newly diagnosed multiple myeloma who underwent ASCT between 2007 and 2020 and were followed up until 2021. The SR rate was 4.7%, including 1.7% with PD. In survival time analysis for overall cases, a significant difference in PFS between the very good partial response (VGPR) and PR groups was observed, whereas there was no significant difference in overall survival (OS) between the VGPR and PR groups. Additionally, there was no significant difference in OS or PFS between the PR and SD groups. Therefore, we focused on the PR, SD, and PD groups, as the purpose of this retrospective study was to investigate the clinical significance of ASCT in patients with SR compared with those with PR. The median patient age was 60 years (range, 30 to 77 years). In total, 1605 (97.4%) patients received bortezomib, 561 (38.2%) received an immunomodulatory drug (ImiD), and 512 (34.9%) received both bortezomib and an ImiD. A total of 558 patients (38.0%) received reinduction therapy. There were 229 patients (37.7%) with high-risk cytogenetics (HRCA). With a median follow-up of 31.7 months, there was a significant difference in 30-month OS rates among the PR, SD, and PD groups (86.3%, 78.5%, and 39.4%, respectively; P <.001). OS was significantly shorter in the SD group compared to the PR group among the patients with HRCA (P < .001) and patients treated with reinduction therapy (P = .013). In the PD group, the 30-month OS and PFS rates were 39.4% and 17.9%, respectively. Finally, early PD within 12 months after ASCT was predictive of short OS, whereas OS without early PD even in the PD group was similar to that in the SD and PR groups. In conclusion, OS in the SR group was not always short, but SR in the HRCA and the reinduction therapy groups was predictive of short OS, so that therapeutic alternatives to ASCT are needed. OS in the PD group was significantly short, but ASCT improved clinical outcomes when early PD did not occur even in the PD group.

Aiming for the cure in myeloma: Putting our best foot forward

Frontline therapy for multiple myeloma (MM) is evolving to include novel combinations that can achieve unprecedented deep response rates. Several treatment strategies exist, varying in induction regimen composition, use of transplant and or consolidation and maintenance. In this sea of different treatment permutations, the overarching theme is the powerful prognostic factors of disease risk and achievement of minimal residual disease (MRD) negativity. MM has significant inter-patient variability that requires treatment to be individualized. Risk-adapted and response-adapted strategies which are increasingly being explored to define the extent and duration of therapy, and eventually aim for functional curability. In addition, with T-cell redirection therapies rapidly revolutionizing myeloma treatments, the current standard of care for myeloma will change. This review analyzes the current relevant literature in upfront therapy for fit myeloma patients and provides suggestions for treatment approach while novel clinical trials are maturing.

Health-Related Quality of Life in Multiple Myeloma Patients Treated with High- or Low-Dose Lenalidomide Maintenance Therapy after Autologous Stem Cell Transplantation-Results from the LenaMain Trial (NCT00891384)

INTRODUCTION

The LenaMain trial (NCT00891384) reported increased progression-free survival with 25 mg of lenalidomide maintenance compared to 5 mg. Here, we report the patient-reported outcomes.

MATERIALS AND METHODS

Scores obtained from the EORTC Quality of Life Questionnaire C30 were analyzed for longitudinal changes from baseline within the groups as well as cross-sectional scores.

RESULTS

Compliance rates were high, with 95.7% at baseline and 70% during maintenance. At study entry, scores were high for functioning and low for symptoms. During maintenance, the median global health status/quality of life (GHS/QoL) was constant, without significant differences over time (median GHS/QoL: 68 at baseline and 58 for Len high and 68 for Len low at 2 years) and between treatment arms (mean change < 2). Similarly, most functional scale domains were constant. Notably, diarrhea increased consistently for both treatment arms (baseline: -1.905 (range: -5.78-1.97); end of year 2: 16.071 (range: 5.72-26.42); p < 0.05). The subgroup analysis showed that neither disease activity, duration of treatment, nor adverse events affected the health-related quality of life (HR-QoL) or utility.

CONCLUSION

High baseline scores were maintained throughout the trial without significant differences between the Len dosages, which supports continuous treatment with a dose tailored to patients' HR-QoL.

Definers and drivers of functional high-risk multiple myeloma: insights from genomic, transcriptomic, and immune profiling

Traditional prognostic models for newly diagnosed patients with multiple myeloma (MM), including International Staging System criteria and number of high-risk chromosomal abnormalities, are based on disease characteristics at diagnosis. However, the identification of patients at risk of more rapidly progressive MM is inherently a dynamic assessment. In a subset of patients with MM, adverse disease biology only becomes evident after the failure of first-line therapy. We define this entity as functional high-risk MM (FHRMM), encompassing relapse within 18 months of treatment initiation and/or within 12 months of frontline autologous stem cell transplantation. FHRMM is not adequately captured by traditional prognostic models, and there is a need for better understanding of mechanisms or risk factors for early relapse or progression. In this review, we explore potential definitions of FHRMM before delving into its underlying drivers based on genetic, transcriptomic, and immune cell profiling studies. Emerging data suggest that specific features of both myeloma cells and immune cells can enable the FHRMM phenotype. We conclude our review by discussing ongoing and future studies that seek to identify and intervene upon patients with FHRMM preemptively.

Idecabtagene Vicleucel Is Well Tolerated and Effective in Relapsed/Refractory Myeloma Patients with Prior Allogeneic Stem Cell Transplantation

BCMA-specific chimeric-antigen receptor (CAR-) T cell therapy has led to high response rates and durable remissions in patients with relapsed refractory multiple myeloma. However, little data are available for patients after prior allogeneic stem cell transplantation (allo-SCT) in whom T cells are chimeric. In this study, we aimed to assess the safety and efficacy of patient-derived donor CAR-T therapy in myeloma patients with prior allo-SCT, particularly with regard to graft-versus-host disease (GVHD). We report a comprehensive clinical analysis of 3 patients who had previously undergone allo-SCT for high-risk myeloma and were treated with idecabtagene vicleucel (ide-cel) at our institution. Ide-cel was well tolerated, with no clinically relevant immune effector cell-associated neurotoxicity syndrome or cytokine release syndrome observed in any patient. Importantly, no new GVHD was observed, even though all patients had a history of GVHD. All patients responded to treatment with at least a very good partial remission. Two patients relapsed within 6 months, and 1 patient was still in stringent complete remission at the time of this report. Our findings demonstrate that treatment with ide-cel is feasible, very well tolerated, and effective in patients with relapsed/refractory multiple myeloma after prior allo-SCT.

Outcomes of patients with primary refractory multiple myeloma in the era of triplet and quadruplet induction therapy

Patients with multiple myeloma (MM) who do not respond to initial therapy have worse outcomes than primary responders, and effective treatments are lacking in this population. However, the outcomes of primary refractory disease in the modern treatment era have not yet been studied. We reviewed patients with MM treated with triplet/quadruplet therapy at our institution to assess the incidence of primary refractory disease and the impact of salvage therapies in this population. We identified 1127 patients, of whom 1086 were evaluated for hematologic responses after 4 to 6 cycles. Of these, 93.3% (1013) had evidence of response, whereas 6.7% (73) had primary refractory disease. With a median overall survival (OS) of 51.3 months, patients with primary refractory disease had an increased risk of shorter survival in univariable and multivariable analyses (hazard ratio [HR], 3.5 [95% confidence interval (CI), 2.5-4.9]; HR, 4.3 [95% CI, 2.6-6.9], respectively). In the subgroup analysis of patients with primary refractory disease, those who received second-line autologous stem cell transplantation (ASCT) had increased second progression-free survival (20.9 vs 8.1 months; P < .01) and second OS (74.7 vs 31.3 months; P = .02) compared with patients who did not. We conclude that early progression remains a significant factor for shorter OS in the current era, and salvage ASCT could be the most beneficial option for this population.

ML-based sequential analysis to assist selection between VMP and RD for newly diagnosed multiple myeloma

Optimal first-line treatment that enables deeper and longer remission is crucially important for newly diagnosed multiple myeloma (NDMM). In this study, we developed the machine learning (ML) models predicting overall survival (OS) or response of the transplant-ineligible NDMM patients when treated by one of the two regimens-bortezomib plus melphalan plus prednisone (VMP) or lenalidomide plus dexamethasone (RD). Demographic and clinical characteristics obtained during diagnosis were used to train the ML models, which enabled treatment-specific risk stratification. Survival was superior when the patients were treated with the regimen to which they were low risk. The largest difference in OS was observed in the VMP-low risk & RD-high risk group, who recorded a hazard ratio of 0.15 (95% CI: 0.04-0.55) when treated with VMP vs. RD regimen. Retrospective analysis showed that the use of the ML models might have helped to improve the survival and/or response of up to 202 (39%) patients among the entire cohort (N = 514). In this manner, we believe that the ML models trained on clinical data available at diagnosis can assist the individualized selection of optimal first-line treatment for transplant-ineligible NDMM patients.

Daratumumab, bortezomib and dexamethasone at first relapse for patients with multiple myeloma: A real-world multicentre UK retrospective analysis

Daratumumab, bortezomib and dexamethasone (DVd) is approved for patients with relapsed multiple myeloma following the CASTOR phase 3 clinical trial. This retrospective multicentre analysis assesses the overall response rate (ORR) and progression-free survival (PFS) in routine clinical practice for patients at first relapse treated with DVd incorporating weekly bortezomib. Data were collected from 296 sequential patients treated across 15 UK centres. After a median follow-up of 21 months, the ORR was 82% (26% partial response, 56% very good partial response or better) and the median PFS was 16 months [95% confidence interval (CI) 12-20 months]. Results were similar regardless of prior lenalidomide exposure. The median time to next treatment was 20 months (95% CI 15-25 months) and the estimated overall survival at two years was 74%. Patients with high-risk features (by cytogenetics, International Staging System or extramedullary disease) and those treated within 18 months of initiation of progression-free treatment, or within 12 months of autologous stem cell transplant, had significantly inferior outcomes. The grade 2 and 3 peripheral neuropathy rate was 7%. DVd with weekly bortezomib was effective in a heterogenous real-world population at first relapse with a low rate of peripheral neuropathy. However, high-risk patients had inferior outcomes and should be considered for alternative treatments.

Evaluation of the Simplified Score to Predict Early Relapse in Multiple Myeloma (S-ERMM) in the MMRF CoMMpass study

BACKGROUND

Zaccaria and colleagues recently proposed a new risk score to identify patients at high risk for relapse within 18 months of diagnosis (ER18), the Score for Early Relapse in Multiple Myeloma (S-ERMM). We performed external validation of the S-ERMM using data from the CoMMpass study.

PATIENTS AND METHODS

Clinical data was obtained from the CoMMpass study. Patients were assigned S-ERMM risk scores and risk categories by the three iterations of the International Staging System (ISS): ISS, R-ISS and R2-ISS. Patients with missing data or early mortality in remission were excluded. Our primary endpoint was the relative predictive ability of the S-ERMM versus other risk scores for ER18 as assessed by area-under-the-curve (AUC).

RESULTS

476 patients had adequate data to assign all four risk scores. 65%, 25% and 10% were low, intermediate and high risk by S-ERMM. 17% experienced ER18. All four risk scores stratified patients by risk for ER18. S-ERMM (AUC: 0.59 [95% CI 0.53-0.65]) was similar to R-ISS (0.63 [95% CI 0.58-0.69]) and statistically inferior to ISS (0.68 [95% CI 0.62-0.75]) and R2-ISS (0.66 [95% CI 0.61-0.72]) for prediction of ER18. Sensitivity analyses were performed and did not significantly impact results.

CONCLUSION

The S-ERMM risk score is not superior to existing risk stratification systems for predicting early relapse in NDMM and further studies are needed to identify the optimal approach.

Matching-adjusted indirect comparison of isatuximab plus carfilzomib and dexamethasone with daratumumab plus lenalidomide and dexamethasone in relapsed multiple myeloma

BACKGOUND

Lenalidomide-based regimens are commonly used for early relapse in patients with relapsed and/or refractory multiple myeloma (RRMM) receiving at least one prior line of therapy. In the absence of head-to-head comparison, matching-adjusted indirect comparison (MAIC) was conducted to demonstrate efficacy and safety of isatuximab+carfilzomib+dexamethasone (Isa-Kd) versus daratumumab + lenalidomide + dexamethasone (Dara-Rd) in RRMM.

METHODS

Patient-level data from IKEMA trial (Isa-Kd, n = 179) were matched to aggregate data from POLLUX (Dara-Rd, n = 286). Hazard ratios (HR) and 95% confidence intervals (CI) for progression-free survival (PFS) and overall survival (OS) were generated by weighted Cox proportional hazard models. Odds ratios (OR), 95% CI, and p-value were calculated for ≥very good partial response (≥VGPR) and treatment-emergent adverse events (TEAEs).

RESULTS

After matching, no significant differences were observed between Isa-Kd and Dara-Rd in baseline characteristics except for patients with >3 prior lines (0.0% vs. 4.9%). Isa-Kd showed significantly better PFS (HR [95% CI]: 0.46 [0.24-0.86]; p = 0.0155), statistically non-significant improvement favoring Isa-Kd in OS (0.47 [0.20-1.09]; 0.0798), and ≥VGPR (OR [95% CI]: 1.53 [0.89-2.64]; p = 0.1252) than Dara-Rd. Odds of occurrence were significantly lower for some all-grade and grade 3/4 TEAEs with Isa-Kd than Dara-Rd.

CONCLUSION

These results support Isa-Kd as an efficacious treatment for early relapse in non-lenalidomide refractory patients.

Proposed risk-scoring model for estimating the prognostic impact of 1q gain in patients with newly diagnosed multiple myeloma

1q gain (+1q) is the most common high-risk cytogenetic abnormality (HRCA) in patients with multiple myeloma (MM). However, its prognostic value remains unclear in the era of novel agents. Here, we retrospectively analyzed the impact of +1q on the outcomes of 934 patients newly diagnosed with MM. +1q was identified in 53.1% of patients and verified as an independent variate for inferior overall survival (OS) (hazard ratio, 1.400; 95% confidence interval, 1.097-1.787; p = .007). Concurrence of other HRCAs (particularly t(14;16) and del(17p)) further exacerbated the outcomes of patients with +1q, suggesting prognostic heterogeneity. Thus, a risk-scoring algorithm based on four risk variates (t(14;16), hypercalcemia, ISS III, and high LDH) was developed to estimate the outcomes of patients with +1q. Of the patients, 376 evaluable patients with +1q were re-stratified into low (31.6%), intermediate (61.7%), and high risk (6.7%) groups, with significantly different progression-free survival and OS (p < .0001), in association with early relapse of the disease. The prognostic value of this model was validated in the CoMMpass cohort. While attaining undetectable MRD largely circumvented the adverse impact of +1q, it scarcely ameliorated the outcome of the patients with high risk, who likely represent a subset of patients with extremely poor survival. Hence, patients with +1q are a heterogeneous group of high-risk patients, therefore underlining the necessity for their re-stratification. The proposed simple risk-scoring model can estimate the outcomes of patients with +1q, which may help guide risk-adapted treatment for such patients.

Targeted Therapy and Personalized Medicine

Targeted therapy and personalized medicine are novel emerging disciplines of cancer research intended for treatment and prevention. One of the most significant advancements in modern oncology is the shift from an organ-centric strategy to a personalized strategy guided by deep molecular analysis. This shift in view, which focuses on the tumour's precise molecular changes, has paved the way for individualized treatment. Researchers and clinicians are using targeted therapies to select the best treatment available based on the molecular characterization of malignant cancer. In the treatment of a cancer, personalized medicine entails the use of genetic, immunological, and proteomic profiling to provide therapeutic alternatives as well as prognostic information about cancer. In this book, targeted therapies and personalized medicine have been covered for specific malignancies, including latest FDA-approved targeted therapies and it also sheds light on effective anti-cancer regimens and drug resistance. This will help to enhance our ability to conduct individualized health planning, make early diagnoses, and choose optimal medications for each cancer patient with predictable side effects and outcomes in a quickly evolving era. Various applications and tools' capacity have been improved for early diagnosis of cancer and the growing number of clinical trials that choose specific molecular targets reflects this predicament. Nevertheless, there are several limitations that must need to be addressed. Hence, in this chapter, we will discuss recent advancements, challenges, and opportunities in personalized medicine for various cancers, with a specific emphasis on target therapies in diagnostics and therapeutics.

Risk Assessment for Newly Diagnosed Fit Young Patients with Multiple Myeloma in the Era of Novel Treatment Modalities: Should There Be Additional Factors Taken into Consideration??

Introduction

The optimal treatment for young patients with high-risk newly diagnosed multiple myeloma (NDMM) remains a challenge.

Methods

We retrospectively evaluated 58 NDMM patients younger than 55 years treated in our center from 2010 to 2021 with the current recommended protocols.

Results

After a median follow-up of 48 months, median overall survival (OS) was not reached; however, approximately 25% of them died within 4 years after diagnosis. Advanced disease stage, presence of extramedullary disease, elevated LDH, and less than very good remission before autologous hematopoietic stem-cell transplantation adversely affected patient survival. Based on these factors, we created a risk-assessment scoring system that sufficiently discriminated young NDMM patients at risk of poor outcome. The 4-year OS was superior for patients with zero to two factors to those with three to five factors (86% vs 44%, p<0.001).

Conclusion

The proposed scoring system could be reliably used at diagnosis and at interim disease evaluation in aiming for personalized treatment for young NDMM patients.

Perspectives on the Risk-Stratified Treatment of Multiple Myeloma

The multiple myeloma treatment landscape has changed dramatically. This change, paralleled by an increase in scientific knowledge, has resulted in significant improvement in survival. However, heterogeneity remains in clinical outcomes, with a proportion of patients not benefiting from current approaches and continuing to have a poor prognosis. A significant proportion of the variability in outcome can be predicted on the basis of clinical and biochemical parameters and tumor-acquired genetic variants, allowing for risk stratification and a more personalized approach to therapy. This article discusses the principles that can enable the rational and effective development of therapeutic approaches for high-risk multiple myeloma.

High Levels of Circulating Tumor Plasma Cells as a Key Hallmark of Aggressive Disease in Transplant-Eligible Patients With Newly Diagnosed Multiple Myeloma

PURPOSE

High levels of circulating tumor plasma cells (CTC-high) in patients with multiple myeloma are a marker of aggressive disease. We aimed to confirm the prognostic impact and identify a possible cutoff value of CTC-high for the prediction of progression-free survival (PFS) and overall survival (OS), in the context of concomitant risk features and minimal residual disease (MRD) achievement.

METHODS

CTC were analyzed at diagnosis with two-tube single-platform flow cytometry (sensitivity 4 × 10^-5) in patients enrolled in the multicenter randomized FORTE clinical trial (ClinicalTrials.gov identifier: NCT02203643). MRD was assessed by second-generation multiparameter flow cytometry (sensitivity 10^-5). We tested different cutoff values in series of multivariate (MV) Cox proportional hazards regression analyses on PFS outcome and selected the value that maximized the Harrell's C-statistic. We analyzed the impact of CTC on PFS and OS in a MV analysis including baseline features and MRD negativity.

RESULTS

CTC analysis was performed in 401 patients; the median follow-up was 50 months (interquartile range, 45-54 months). There was a modest correlation between the percentage of CTC and bone marrow plasma cells (r = 0.38). We identified an optimal CTC cutoff of 0.07% (approximately 5 cells/µL, C-index 0.64). In MV analysis, CTC-high versus CTC-low patients had significantly shorter PFS (hazard ratio, 2.61; 95% CI, 1.49 to 2.97, P < .001; 4-year PFS 38% v 69%) and OS (hazard ratio, 2.61; 95% CI, 1.49 to 4.56; P < .001; 4-year OS 68% v 92%). The CTC levels, but not the bone marrow plasma cell levels, affected the outcome. The only factor that reduced the negative impact of CTC-high was the achievement of MRD negativity (interaction P = .039).

CONCLUSION

In multiple myeloma, increasing levels of CTC above an optimal cutoff represent an easy-to-assess, robust, and independent high-risk factor. The achievement of MRD negativity is the most important factor that modulates their negative prognostic impact.

High-risk disease in newly diagnosed multiple myeloma: beyond the R-ISS and IMWG definitions

Multiple myeloma (MM) is an acquired malignant plasma cell disorder that develops late in life. Although progression free and overall survival has improved across all age, race, and ethnic groups, a subset of patients have suboptimal outcomes and are labeled as having high risk disease. A uniform approach to risk in NDMM remains elusive despite several validated risk stratification systems in clinical use. While we attempt to capture risk at diagnosis, the reality is that many important prognostic characteristics remain ill-defined as some patients relapse early who were defined as low risk based on their genomic profile at diagnosis. It is critical to establish a definition of high risk disease in order to move towards risk-adapted treatment approaches. Defining risk at diagnosis is important to both effectively design future clinical trials and guide which clinical data is needed in routine practice. The goal of this review paper is to summarize and compare the various established risk stratification systems, go beyond the R-ISS and international myeloma working group risk stratifications to evaluate specific molecular and cytogenetic abnormalities and how they impact prognosis independently. In addition, we explore the wealth of new genomic information from recent whole genome/exome sequencing as well as gene expression data and review known clinical factors affecting outcome such as disease burden and early relapse as well as patient related factors such as race. Finally, we provide an outlook on developing a new high risk model system and how we might make sense of co-occurrences, oncogenic dependencies, and mutually exclusive mutations.

Estimating and Extrapolating Survival Using a State-Transition Modeling Approach: A Practical Application in Multiple Myeloma

OBJECTIVES

State-transition models (STMs) applied in oncology have given limited considerations to modeling postprogression survival data. This study presents an application of an STM focusing on methods to evaluate the postprogression transition and its impact on survival predictions.

METHODS

Data from the lenalidomide plus dexamethasone arm of the ASPIRE trial was used to estimate transition rates for an STM. The model accounted for the competing risk between the progression and preprogression death events and included an explicit structural link between the time to progression and subsequent death. The modeled transition rates were used to simulate individual disease trajectories in a discrete event simulation framework, based on which progression-free survival and overall survival over a 30-year time horizon were estimated. Survival predictions were compared with the observed trial data, matched external data, and estimates obtained from a more conventional partitioned survival analysis approach.

RESULTS

The rates of progression and preprogression death were modeled using piecewise exponential functions. The rate of postprogression mortality was modeled using an exponential function accounting for the nonlinear effect of the time to progression. The STM provided survival estimates that closely fitted the trial data and gave more plausible long-term survival predictions than the best-fitting Weibull model applied in a partitioned survival analysis.

CONCLUSIONS

The fit of the STM suggested that the modeled transition rates accurately captured the underlying disease process over the modeled time horizon. The considerations of this study may apply to other settings and facilitate a wider use of STMs in oncology.

How I Treat Relapsed Multiple Myeloma

Despite recent advances multiple myeloma remains an incurable disease for most of the patients and initial remission will be followed by relapses requiring therapy. For many, there will be several remissions and relapses until resistance develops to all available therapies. With the introduction of several new agents, myeloma treatment has changed drastically and there are new options for the management of relapsed or refractory disease, including new drug classes with distinct mechanisms of action and cellular therapies. However, resistance to major drug classes used in first line remain the most critical factor for the choice of treatment at relapse. Continuous lenalidomide-based therapy is used extensively at first line and resistance to lenalidomide has become the key factor for the choice of salvage therapy. Daratumumab is increasingly used in first line and soon patients that relapse while on daratumumab will become a common challenge. Three-drug regimens are standard approach to manage relapsed disease. Adding drugs with new mechanisms of activity can improves outcomes and overcomes class resistance but, until now, while the biology is important, can offer only limited guidance for the choice of therapy.

Anti-tumor activity of the pan-RAF inhibitor TAK-580 in combination with KPT-330 (selinexor) in multiple myeloma

RAS/RAF/MEK/ERK pathway inhibitors exhibit significant anti-tumor effects against various tumor types, including multiple myeloma (MM), and they are predicted to play a pivotal role in precision medicine. The XPO1 inhibitor KPT-330 has also exhibited promising efficacy in combination with other novel drugs in treating relapsed/refractory MM (RRMM). In this study, we explored the anti-tumor effects of a combination of the pan-RAF inhibitor TAK-580 and KPT-330. Importantly, TAK-580 enhanced KPT-330-induced cytotoxicity and apoptosis in human myeloma cell lines and primary myeloma cells from RRMM patients. Moreover, TAK-580 and KPT-330 synergistically inhibited nuclear phospho-FOXO3a and enhanced cytoplasmic phospho-FOXO3a in MM cells, leading to cytoplasmic enhanced Bim expression and finally apoptosis. This indicates that TAK-580 enhances KPT-330-induced cytotoxicity and apoptosis primarily via the FOXO3a-Bim axis. In addition, TAK-580 enhanced the cytotoxicity of KPT-330 against MM cells even in the presence of IGF-1. Taken together, our results demonstrate that a combination of pan-RAF inhibitor and XPO1 inhibitor is a potential therapeutic option in treating MM.

Strategies to Overcome High-Risk Multiple Myeloma

ABSTRACT

Multiple myeloma (MM) patients with high-risk cytogenetics continue to have inferior outcomes despite recent advances in the treatment of MM. As defined by the International Myeloma Working Group, the presence of t(4;14), t(14;16), del(17p), t(14;20) and amplification of 1q are considered to be high-risk chromosomal abnormalities associated with poor survival. Despite the use of immunomodulatory agents, proteasome inhibitors, autologous stem cell transplantation, and anti-CD38 monoclonal antibodies, clinical trials of current therapies have not shown strong statistical evidence of being able to overcome the poor prognosis of high-risk disease. Novel treatment approaches are urgently needed to improve survival in this subset of MM patients.

Outcome data from >10 000 multiple myeloma patients in the Danish and Swedish national registries

OBJECTIVE

We describe real-world evidence (RWE) from the nationwide Swedish and Danish registries that provide important information on incidence and outcome in multiple myeloma (MM).

METHOD

First line treatment data on more than 10.000 MM patients from Denmark and Sweden between 2005-2018 are presented. Key results from research conducted within the Swedish and Danish myeloma registries are summarized, describing subgroups of patients with comorbidity, myeloma complications, and early relapse.

RESULTS

We show that national guidelines, generated on results from randomized clinical trials (RCTs) are rapidly implemented and improve overall survival (OS). We find that both the incidence of MM and the median age at diagnosis is higher in national registries compared to results from referral centres, indicating a more complete coverage. This highlights the need of validation of prognostic scoring systems and indices in e.g., SMM and high-risk MM in a real- world-population. We show that these subgroups are unlikely to be captured in RCTs with narrow inclusion and exclusion criteria, that they have worse survival, and are in need of new treatment approaches.

CONCLUSION

National registries that include all MM patients are an important source of knowledge on epidemiology, treatment and outcome with implications for the planning of MM care. Despite the introduction of new and better treatments, rapidly implemented in our countries, our registries uncover subgroups of patients that still have inferior outcome. Our RWE can help to identify important research questions to be studied in further clinical trials also in patients currently not included in RCTs.

Phase I Study of Venetoclax Plus Daratumumab and Dexamethasone, With or Without Bortezomib, in Patients With Relapsed or Refractory Multiple Myeloma With and Without t(11;14)

PURPOSE

Venetoclax is an oral BCL-2 inhibitor with single-agent activity in patients with relapsed or refractory multiple myeloma (RRMM) with t(11;14) translocation. Venetoclax efficacy in RRMM may be potentiated through combination with agents including bortezomib, dexamethasone, and daratumumab.

METHODS

This phase I study (NCT03314181) evaluated venetoclax with daratumumab and dexamethasone (VenDd) in patients with t(11;14) RRMM and VenDd with bortezomib (VenDVd) in cytogenetically unselected patients with RRMM. Primary objectives included expansion-phase dosing, safety, and overall response rate. Secondary objectives included further safety analysis, progression-free survival, duration of response, time to progression, and minimal residual disease negativity.

RESULTS

Forty-eight patients were enrolled, 24 each in parts 1 (VenDd) and 2 (VenDVd). There was one dose-limiting toxicity in part 1 (grade 3 febrile neutropenia, 800 mg VenDd). Common adverse events with VenDd and VenDVd included diarrhea (63% and 54%) and nausea (50% and 50%); grade ≥ 3 adverse events were observed in 88% in the VenDd group and 71% in the VenDVd group. One treatment-emergent death occurred in part 2 (sepsis) in the context of progressive disease, with no other infection-related deaths on study with medians of 20.9 and 20.4 months of follow-up in parts 1 and 2, respectively. The overall response rate was 96% with VenDd (all very good partial response or better [≥ VGPR]) and 92% with VenDVd (79% ≥ VGPR). The 18-month progression-free survival rate was 90.5% (95% CI, 67.0 to 97.5) with VenDd and 66.7% (95% CI, 42.5 to 82.5) with VenDVd.

CONCLUSION

VenDd and VenDVd produced a high rate of deep and durable responses in patients with RRMM. These results support continued evaluation of venetoclax with daratumumab regimens to treat RRMM, particularly in those with t(11;14).

Investigation of demographic features, performance, comorbidity status and mortality causes among multiple myeloma patients: real-life data

BACKGROUND

The demographic characteristics, performance status, frequency of comorbidities and survival rate of patients with multiple myeloma (MM) show variability geographically and different risk scoring systems have been used to assess this population. Here, we present data from a Turkish cohort, focusing on identifying similarities and differences, relative to other reports in the literature.

RESEARCH DESIGN AND METHODS

A total of 310 patients diagnosed with MM were enrolled. Their demographic characteristics were investigated retrospectively. For performance assessment; the ECOG-IMWG Myeloma Frailty Score, R-MCI and HCT-SCI scoring indexes were used. PFS and OS periods, as well as the causes of deaths, were determined.

RESULTS

The mean age of all study participants was 65 ± 10 years. The mean PFS and OS periods were 24.14± 26.11 and 65.3 ± 4.4 months, respectively. The median R-MCI, CCI and HCT-CI scores were five, four and three points, respectively. Myeloma-related complications were the leading cause of death, with a frequency of 51%.

CONCLUSION

Among the scoring systems utilised, R-MCI was more convenient to apply due to its ease of use and practicality. Our study supports the heterogeneous course of myeloma and highlights geographic differences including comorbidities, causes of death and overall survival.

Outcome of treatment with carfilzomib before and after treatment with daratumumab in relapsed or refractory multiple myeloma patients

Real world evidence is important since most patients cannot be included in randomized clinical trials (RCTs). In a nationwide, cohort of relapsed/refractory multiple myeloma patients treated with daratumumab (N = 635), we retrospective studied patients treated with carfilzomib (N = 251). Data were collected by audit of medical records. We compared characteristics of patients treated with carfilzomib before daratumumab (Car-Da; N = 150) and after daratumumab (Da-Car; N = 101) with those not treated with carfilzomib (N = 384). Furthermore, we examined effectiveness and safety of carfilzomib. The group of patients treated with carfilzomib differed from patients not treated with carfilzomib in the following parameters: They were younger, more were treated up-front with high dose melphalan and autologous stem cell transplantation (HDM-ASCT)and had relapse within 18 months thereafter, and more had high-risk cytogenetic abnormalities (CA) and amplification 1q (amp1q). In patients treated with Car-Da, 30.3% had high-risk CA and 30.1% had amp1q and in Da-Car it was 43.3% and 41%, respectively. In the Car-Da cohort, 34.4% experienced early relapse after HDM-ASCT versus 47.4% in the Da-Car cohort. The percentage of patients with very good partial remission was higher in patients treated with Car-Da compared to Da-Car (31.7% vs. 17.4%). The median duration of treatment and time to next treatment (TNT) of Car-Da/Da-Car were 4.6/4.3 months and 7.1/4.3 months and only a trend toward superior TNT for Car-Da was found (p = 0.06). Toxicity of carfilzomib was the same as reported in RCT. A similar poor TNT of daratumumab was found when used before (5.6 months) or after carfilzomib (4.9 months). In this cohort of patients with sequential treatment with carfilzomib and daratumumab or vice versa, a high percentage of patients were high-risk by CA, amp1q, and early relapse after HDM-ASCT. Outcome of Car-DA and outcome of Da-Car were equally poor. These patients should be considered for new promising treatment strategies.

Current approaches to management of high-risk multiple myeloma

The median overall survival in multiple myeloma is rapidly approaching 10 years; however, in nearly a fifth of patients the prognosis remains poor. Therefore, the modern-day management of myeloma patients should be individualized, with a more intense and continuous approach in these high-risk patients. This includes first-line treatment based on multi-drug combinations employing the most effective drug combinations, upfront autologous stem cell transplantation (in eligible patients with tandem transplantation being a consideration), and maintenance based on proteasome inhibitor-based combinations. This paper reviews the results of recent retrospective analyses and clinical trials, but also gives a glance into the future by presenting the ongoing trials.

Emerging Targets and Cellular Therapy for Relapsed Refractory Multiple Myeloma: A Systematic Review

Multiple myeloma is the second most common hematologic malignancy and remains incurable. Patients who fail multiple lines of therapy typically have a poor prognosis despite recent advances in myeloma treatment. Chimeric antigen receptor T (CAR T) cell treatment has emerged as a promising therapy for many hematologic malignancies, including recently approved and emerging applications for myeloma treatment. A systematic review of the available clinical trial data for CAR T therapies in multiple myeloma was undertaken. All multiple myeloma trials registered at ClinicalTrials.gov were reviewed and studies mentioning CAR T and studying relapsed/refractory multiple myeloma (R/R MM) were included. PubMed, Google Scholar, and conference proceedings were also reviewed to determine which trials had reported data. Twenty-seven registered clinical trials in humans with published data were identified as of March 10, 2021. The majority of these trials were CAR T cells targeting B-cell maturation antigen (BCMA), and many were Phase I studies. Data demonstrated promising short-term (<12 months) efficacy with low incidence of grade 3 or higher toxicities. CAR T cell therapy in R/R MM remains a promising treatment modality. While one biologic has recently received FDA-approval, the majority of products remain investigational and in early-phase trials. More investigation is needed to determine which CAR T constructs and combination therapies optimize patient outcomes.

Allogeneic Stem Cell Transplantation in Patients with High-Risk Multiple Myeloma: Utopia or Continuous Challenge in Aiming for Cure?

OPINION STATEMENT

Nowadays, several novel agents have been introduced in the treatment of multiple myeloma, not only resulting in high response rates and prolonged survival but also offering good quality of life. However, the potential of cure, especially for patients with advanced or unfavorable disease features, remains elusive. Allogeneic hematopoietic stem cell transplantation, based mainly on the graft vs. myeloma effect, can offer prolonged disease control and probability of cure but unfortunately at the cost of considerable transplant-related toxicity rates. Therefore, the role of allogeneic hematopoietic stem cell transplantation in the treatment of multiple myeloma has been called into question. Recently, several studies, particularly those with long-term follow-up, demonstrated a trend of survival superiority for allografted patients with high-risk disease. These data fuel again the interest in allogeneic stem cell transplantation for selected patients with high-risk multiple myeloma, especially if the high remission rates which can be achieved with the currently used treatment protocols could be long-life sustained through the additional exploitation of the long-lasting anti-multiple myeloma effect, originating from the allograft.

Novel model predicts prognosis for patients with diffuse large B-cell lymphoma in first relapse after initial R-CHOP therapy: a single-institution study in China

OBJECTIVE

To develop a prognostic model for Chinese patients with relapsed diffuse large B-cell lymphoma (DLBCL) after initial R-CHOP therapy.

METHODS

We retrospectively analyzed the characteristics and survival outcomes of 79 patients with relapsed DLBCL initially treated with R-CHOP at Peking Union Medical College Hospital from February 2012 to September 2016. We used the data to develop a novel prognostic model.

RESULTS

The median age at the start of salvage therapy was 59 (17-85) years and median time from diagnosis to relapse was 319 (49-1018) days. Multivariate analysis identified short time to relapse (TTR) and B symptoms as independent prognostic factors for reduced progression-free survival (PFS) and overall survival (OS). We created a new prognostic scoring system including TTR, lactate dehydrogenase, absolute lymphocyte count at relapse, and B symptoms, referred to as the TLLB model, which could separate patients into three risk groups with 2-year PFS and OS rates of 70.7%, 40.0%, and 11.1%, and 87.5%, 53.7%, and 29.4%, respectively.

CONCLUSION

TTR and B symptoms can be used as important predictors of survival in patients with DLBCL. The TLLB system provides a useful prognostic model compared with the previous TTL system.

Development and Validation of a Simplified Score to Predict Early Relapse in Newly Diagnosed Multiple Myeloma in a Pooled Dataset of 2,190 Patients

PURPOSE

Despite the improvement of therapeutic regimens, several patients with multiple myeloma (MM) still experience early relapse (ER). This subset of patients currently represents an unmet medical need.

EXPERIMENTAL DESIGN

We pooled data from seven European multicenter phase II/III clinical trials enrolling 2,190 patients with newly diagnosed MM from 2003 to 2017. Baseline patient evaluation included 14 clinically relevant features. Patients with complete data (n = 1,218) were split into training (n = 844) and validation sets (n = 374). In the training set, a univariate analysis and a multivariate logistic regression model on ER within 18 months (ER18) were made. The most accurate model was selected on the validation set. We also developed a dynamic version of the score by including response to treatment.

RESULTS

The Simplified Early Relapse in Multiple Myeloma (S-ERMM) score was modeled on six features weighted by a score: 5 points for high lactate dehydrogenase or t(4;14); 3 for del17p, abnormal albumin, or bone marrow plasma cells >60%; and 2 for λ free light chain. The S-ERMM identified three patient groups with different risks of ER18: Intermediate (Int) versus Low (OR = 2.39, P < 0.001) and High versus Low (OR = 5.59, P < 0.001). S-ERMM High/Int patients had significantly shorter overall survival (High vs. Low: HR = 3.24, P < 0.001; Int vs. Low: HR = 1.86, P < 0.001) and progression-free survival-2 (High vs. Low: HR = 2.89, P < 0.001; Int vs. Low: HR = 1.76, P < 0.001) than S-ERMM Low. The Dynamic S-ERMM (DS-ERMM) modulated the prognostic power of the S-ERMM.

CONCLUSIONS

On the basis of simple, widely available baseline features, the S-ERMM and DS-ERMM properly identified patients with different risks of ER and survival outcomes.

Plateau is a prognostic factor of lenalidomide therapy for previously treated multiple myeloma

The plateau phase emerging during the treatment of multiple myeloma (MM) is known to last steadily for a certain period, even without treatment. Therefore, the treatment started at plateau phase is expected to be associated with a better outcome. In this study, this hypothesis was evaluated retrospectively for previously treated MM patients in Kansai Myeloma Forum database who received lenalidomide (LEN) with or without dexamethasone for the first time. Disease stability index (DSI) was defined as (maximum - minimum values of M protein during the 90 days before the start of LEN) divided by M-protein values at the start of LEN. The patients were classified into three groups: stable (S), DSI ≤ 0.25; increasing (I), DSI > 0.25 with increasing M protein; decreasing (D), DSI > 0.25 with decreasing M protein. In univariate analysis of 352 patients, DSI group "I", non-IgG type, serum albumin<3.5 g/dL, and age≥70 were statistically significant prognostic factors for both progression-free survival and overall survival. In multivariate analysis, the former 3 risk factors were statistically significant for poor overall survival. Thus, DSI is an independent prognostic factor for the treatment with LEN for previously treated MM.

Management of patients with difficult-to-treat multiple myeloma

Newer treatments for multiple myeloma (MM) have improved response rates and survival for many patients. However, MM remains challenging to treat due to the propensity for multiple relapses, cumulative and emergent toxicities from prior therapies and increasing genomic complexity that arises due to clonal evolution. In particular, patients with relapsed/refractory MM often require increased complexity of treatment, yet still experience poorer outcomes compared with patients who are newly diagnosed. Additionally, several patient subgroups, including those with extramedullary disease and patients who are frail and/or have multiple comorbidities, have an unfavorable prognosis and remain undertreated. This review (based on an Updates-in-Hematology session at the 25th European Hematology Association Annual Congress 2020) discusses the management of these difficult-to-treat patients with MM.

Novel prognostic scoring system for autologous hematopoietic cell transplantation in multiple myeloma

We studied 2,528 patients with upfront autologous haematopoietic cell transplantation (AHCT) for multiple myeloma (MM) from 2008-2017 to develop a prognostic model to predict outcomes. High-risk cytogenetics included t(4;14), t(14;16), t(14;20), del13q on karyotype, del17p, +1q or 1pdel. A Cox model identified factors prognostic of progression/relapse in a training subset (n = 1,246). A weighted score using these factors was assigned to a validation cohort (n = 774). Presence of high-risk cytogenetics [hazard ratio, (HR) 1·68 (1·3-2·17)] and pre-AHCT bone marrow plasma cells (BMPCs) ≥10% [1·68 (1·33-2·12)] were assigned 4 points each; albumin at diagnosis <3·5 g/dl [1·31 (1·07-1·61)] 2; standard risk cytogenetics 1, and no cytogenetics abnormality, BMPCs <10% at AHCT and albumin ≥3·5 g/dl at diagnosis 0 points each. A three-category system with low risk (0-3), intermediate risk (4-8) and high risk (9-10) showed 3-year progression-free survival in the low vs. intermediate vs. high risk of 58% (95% CI: 52-63) vs. 49% (95% CI: 43-56) vs. 31% (95% CI: 12-51), P < 0.001 respectively, and 3-year OS in low vs. intermediate vs. high risk of 88% (95% CI: 84-91) vs. 81% (95% CI: 76-86) vs. 64% (95% CI: 39-80); P < 0·001. Our prognostic scoring system can identify MM patients at risk for early relapse after AHCT.

The impact of response kinetics for multiple myeloma in the era of novel agents

Rapid remission by induction therapy has long been recognized as an important predictor for long-time survival in acute leukemia. However, the impact of response kinetics on multiple myeloma (MM) seems to be different and remains unexplored. The relationship between response kinetics and outcome were assessed in 626 patients with newly diagnosed MM who were included in a prospective, nonrandomized clinical trial (BDH 2008/02). Patients were assigned to either immunomodulatory drug- or proteasome inhibitor-based therapy. The response depth, time to best response (T_BR) and duration of best response (D_BR) were collected. Depth of response was associated with superior outcomes, consistent with findings from other studies. However, the early responders (defined as T_BR ≤3 months) showed significantly worse survival compared with late responders. We found that patients with rapid complete remission experienced inferior survivals comparable to those attaining a gradual partial remission. Moreover, 4 distinct response kinetics patterns were identified. Patients with gradual and sustained remission ("U-valley" pattern) experienced superior outcomes, whereas poor outcomes were observed in rapid and transient responders ("roller coaster" pattern) (median overall survival, 126 vs 30 months). The effects of response patterns on survival were confirmed in patients at different stages of disease and cytogenetic risk, including transplant-eligible patients and those attaining different extents of response depth. Collectively, our data indicated that slow and gradual response is a favorable prognostic factor in MM. In addition to response depth, the kinetic pattern of response is a simple and powerful predictor for survival even in the era of novel agents.

Expert Panel Consensus Statement for Proper Evaluation of First Relapse in Multiple Myeloma

PURPOSE OF REVIEW

A working group of six expert physicians convened to assess the spectrum of multiple myeloma relapse presentations, discussed the features that can define the disease as aggressive and not aggressive, and established whether this information could help in selecting treatment together with the characteristics of disease and of patients and type of prior therapy.

RECENT FINDINGS

The working group agreed that relapse should be distinguished between biochemical and clinical according to IMWG. Moreover, the expert panel defined "aggressive disease" as a clinical condition that requires therapy able to induce a rapid and as deep as possible response to release symptoms and to avoid impending danger of new events. According to this definition, relapse was considered aggressive if it presents with at least one of the following features: doubling of M protein rate over 2 months, renal insufficiency, hypercalcemia, extramedullary disease, elevated LDH, high plasma cell proliferative index, presence of plasma cells in peripheral blood, or skeletal-related complications. Moreover, the panel agreed that this classification can be useful to choose therapy in first relapse together with other patient, disease, and prior therapy characteristics. So, this item was included in a new therapeutic algorithm. The treatment choice in MM at relapse is wider than in the past with the availability of many new therapeutic regimens leading to increased diversity of approaches and relevant risk of inappropriate treatment decisions. A practical classification of relapses into aggressive or non-aggressive, included in a decisional algorithm on MM management at first relapse, could help to make the appropriate treatment decisions.