A single-cell atlas characterizes dysregulation of the bone marrow immune microenvironment associated with outcomes in multiple myeloma.

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 established a harmonized consortium to generate an Immune Atlas of MM aimed at informing disease etiology, risk stratification, and potential therapeutic strategies. We generated a transcriptome profile of 1,149,344 single cells from the bone marrow of 263 newly diagnosed patients enrolled in the CoMMpass study and characterized immune and hematopoietic cell populations. Associating cell abundances and gene expression with disease progression revealed the presence of a proinflammatory immune senescence-associated secretory phenotype in rapidly progressing patients. Furthermore, signaling analyses suggested active intercellular communication involving APRIL-BCMA, potentially promoting tumor growth and survival. Finally, we demonstrate that integrating immune cell levels with genetic information can significantly improve patient stratification.

Mixed-Methods Study on the Responsiveness of the Comprehensive Score for Financial Toxicity Among People With Multiple Myeloma.

PURPOSE: Financial toxicity is a contributor to the psychosocial burden of cancer care. There is no consensus measure of financial toxicity; however, recent studies have adopted the Comprehensive Score for Financial Toxicity (COST). Despite its growing popularity, data on the responsiveness to change of the COST instrument are lacking. To address this gap in the literature, we performed a sequential mixed-methods study of people with multiple myeloma. MATERIALS AND METHODS: In the quantitative phase of the study, we collected COST scores at two time points approximately 8 weeks apart from 72 patients. In the qualitative phase, we conducted semistructured interviews with a subset of 12 patients who reported the largest changes in scores. The qualitative data were analyzed using a deductive coding scheme developed using the Framework Method in the context of a commonly cited conceptual model of financial toxicity. RESULTS: The median absolute change in COST scores was four points (IQR, 2-6). Only 13% of the sample had the same COST scores at both assessments; 38% had an improved score and 50% had a worsened score. Only, seven of the 12 patients (58%) interviewed reported changes to one or more of the constructs in the conceptual model of financial toxicity. Most commonly, changes to out-of-pocket medical costs were reported (5/12). Changes to nonmedical expenses (n = 2) and subjective financial distress without changes to objective financial burden (n = 2) were also reported. CONCLUSION: Additional research is needed to explicate changes in COST scores over time.

A structured oral chemotherapy teaching tool to improve adherence in adults with multiple myeloma: A pilot randomized controlled trial.

INTRODUCTION: Many of the newer treatments for adults with newly-diagnosed and relapsed multiple myeloma (MM) are orally administered. Adherence is a challenge, and little is known about strategies to optimize adherence. MATERIALS AND METHODS: Forty-seven patients initiating orally-administered anti-myeloma therapy were enrolled and randomized in a pilot study to receive either standard of care teaching or the Multinational Association of Supportive Care in Cancer Oral agent Teaching Tool (MOATT), a structured teaching tool. Adherence was measured electronically with a Medication Event Monitoring System (MEMS) cap. Optimal adherence was defined as an adherence rate of ≥90% over the six months study duration. Patients completed surveys regarding cancer therapy satisfaction and self-efficacy for medication management at one month and six months following the initiation of treatment in both arms. RESULTS: The mean adherence of patients over six months was 86.9%; 43.9% of the cohort were classified as non-adherent using the 90% threshold of adherence. Mean adherence was similar among standard of care teaching (87.9%) versus the MOATT intervention tool (85.6%) as was cancer therapy satisfaction and self-efficacy for medication management. DISCUSSION: In our pilot, the MOATT tool was not found to be feasible or acceptable. There were no preliminary differences noted between standard of care teaching versus the structured MOATT teaching tool with regards to overall adherence rates, cancer therapy satisfaction, or self-efficacy in medication management. Overall adherence rates were suboptimal in our study. Future research should work to identify aspects of educational interventions which are effective, and investigate different strategies which can be used to supplement patient education and potentially optimize medication adherence in patients with MM.

Duvelisib for Critically Ill Patients With Coronavirus Disease 2019: An Investigator-Initiated, Randomized, Placebo-Controlled, Double-Blind Pilot Trial.

Background: Despite improvements in prevention and treatment, severe coronavirus disease 2019 (COVID-19) is associated with high mortality. Phosphoinositide 3-kinase (PI3K) pathways contribute to cytokine and cell-mediated lung inflammation. We conducted a randomized, placebo-controlled, double-blind pilot trial to determine the feasibility, safety, and preliminary activity of duvelisib, a PI3Kδγ inhibitor, for the treatment of COVID-19 critical illness. Methods: We enrolled adults aged ≥18 years with a primary diagnosis of COVID-19 with hypoxic respiratory failure, shock, and/or new cardiac disease, without improvement after at least 48 hours of corticosteroid. Participants received duvelisib (25 mg) or placebo for up to 10 days. Participants had daily semi-quantitative viral load measurements performed. Dose modifications were protocol driven due to adverse events (AEs) or logarithmic change in viral load. The primary endpoint was 28-day overall survival (OS). Secondary endpoints included hospital and intensive care unit length of stay, 60-day OS, and duration of critical care interventions. Safety endpoints included viral kinetics and AEs. Exploratory endpoints included serial cytokine measurements and cytometric analysis. Results: Fifteen patients were treated in the duvelisib cohort, and 13 in the placebo cohort. OS at 28 days was 67% (95% confidence interval [CI], 38%-88%) compared to 62% (95% CI, 32%-86%) for placebo (P = .544). Sixty-day OS was 60% versus 46%, respectively (hazard ratio, 0.66 [95% CI, .22-1.96]; P = .454). Other secondary outcomes were comparable. Duvelisib was associated with lower inflammatory cytokines. Conclusions: In this pilot study, duvelisib did not significantly improve 28-day OS compared to placebo for severe COVID-19. Duvelisib appeared safe in this critically ill population and was associated with reduction in cytokines implicated in COVID-19 and acute respiratory distress syndrome, supporting further investigation. Clinical Trials Registration: NCT04372602.

Disparities in Multiple Myeloma Treatment Patterns in the United States: A Systematic Review.

We performed a systematic review of the literature investigating the demographic and insurance-related factors linked to disparities in multiple myeloma (MM) care patterns in the United States from 2003 to 2021. Forty-six observational studies were included. Disparities in MM care patterns were reported based on patient race in 76% of studies (34 out of 45 that captured race as a study variable), ethnicity in 60% (12 out of 20), insurance in 77% (17 out of 22), and distance from treating facility, urbanicity, or geographic region in 62% (13 out of 21). A smaller proportion of studies identified disparities in MM care patterns based on other socioeconomic characteristics, with 36% (9 out of 25) identifying disparities based on income estimate or employment status and 43% (6 out of 14) based on language barrier or education-related factors. Sociodemographic characteristics are frequently associated with disparities in care for individuals diagnosed with MM. There is a need for further research regarding modifiable determinants to accessing care such as insurance plan design, patient out-of-pocket costs, preauthorization criteria, as well as social determinants of health. This information can be used to develop actionable strategies for reducing MM health disparities and enhancing timely and high-quality MM care.

Continuous Elotuzumab, Pomalidomide, and Dexamethasone Maintenance Following Second Autologous Transplantation for Multiple Myeloma: Results of a Prospective Phase 2 Multicenter Trial.

Second autologous hematopoietic cell transplantation (AHCT2) is a useful therapeutic modality for fit patients with multiple myeloma who have durable remission after upfront AHCT. Retrospective studies have suggested a significant benefit of incorporating maintenance therapy post-AHCT2, but prospective data on specific regimens are lacking. The purpose of this study was to investigate the use of elotuzumab, pomalidomide, and dexamethasone (EPd) as salvage therapy prior to and maintenance after AHCT2 for relapsed multiple myeloma. This prospective single-arm phase II trial investigating the use of EPd in combination with AHCT2 in patients with relapsed multiple myeloma was conducted at 2 academic centers in North America. The primary outcome was 1-year progression-free survival (PFS). Twenty-five patients were enrolled on the study. Sixteen patients received EPd induction; six patients (38%) progressed during salvage therapy and were removed from the trial prior to AHCT2. Following a planned safety analysis, the protocol was amended, and EPd induction was removed from the study schema. An additional 9 patients underwent induction off-study and were enrolled on trial for AHCT2 and EPd maintenance. A total of 18 patients underwent AHCT2 and received EPd maintenance. Two patients discontinued treatment because of toxicity, one attributed to elotuzumab and the other to pomalidomide. The 1-year PFS was 72%, and the median PFS was 19 months. The study was closed early owing to poor accrual; 6 patients remained on therapy at time of analysis. EPd maintenance after AHCT2 was safe and tolerable. The 1-year PFS and median PFS were similar to values in previous retrospective reports of outcomes following AHCT2. Further studies are needed to define the optimal use of and protocol for AHCT2 in fit patients with relapsed multiple myeloma.

Venous Thromboembolism Risk in Patients With Newly Diagnosed Multiple Myeloma Treated with Carfilzomib or Bortezomib in Combination With Lenalidomide and Dexamethasone.

BACKGROUND: Multiple myeloma (MM), as well as some treatments for MM, increase the risk of venous thromboembolism (VTE). Prior literature suggests carfilzomib, lenalidomide, and dexamethasone (KRd) may have a higher incidence of thromboembolic events compared with bortezomib, lenalidomide, and dexamethasone (VRd). We aimed to evaluate VTE risk with KRd induction compared to VRd at a large academic medical center in the United States. MATERIALS AND METHODS: We retrospectively reviewed patients with newly diagnosed MM presenting at a single institution. Patients were followed for objectively diagnosed VTE events for 6 months following the start of induction therapy. RESULTS: A total of 209 patients were included, with 69 (33%) receiving KRd and 140 (67%) receiving VRd. Overall, 18 patients (9%) had a VTE event, with 5 (7%) in the KRd cohort and 13 (9%) in the VRd cohort (P = .80). Treatment with KRd was not associated with an increased risk of VTE compared to VRd (HR 0.74; 95% CI 0.26-2.08; P = .57). CONCLUSION: In this cohort, KRd was not associated with an increase in VTE risk compared to VRd, contrary to prior literature.

Phase I-II Trial of Early Azacitidine after Matched Unrelated Donor Hematopoietic Cell Transplantation.

Graft-versus-host disease (GVHD) is a major complication after allogeneic hematopoietic cell transplantation (allo-HCT). The hypomethylating agent azacitidine (AZA) has been shown to be effective in preclinical and clinical studies for the prevention of acute GVHD (aGVHD). We sought to determine the maximum tolerated dose (MTD) of AZA when given on days 1 to 5 of a 28-day cycle for 4 cycles, starting on day +7 after allo-HCT, as well as its impact on aGVHD and chronic GVHD (cGVHD), relapse, and overall survival (OS) in patients undergoing matched unrelated donor allo-HCT. This study was a single-arm, single-center, open-label phase I-II study with a total of 15 and 38 patients enrolled in the phase I and II portions of the trial, respectively. A standard 3+3 study design was used in phase I, and all patients in phase II received AZA at the MTD determined in phase I. The MTD of AZA starting at day +7 post-transplantation was 45 mg/m2. Phase II of the study was halted after enrolling 38 of the planned 46 patients following an interim analysis that suggested futility. Overall, AZA at 45 mg/m2 exhibited a side effect profile consistent with prior reports and had a minimal impact on engraftment. The cumulative incidence of clinically significant aGVHD by day +180 was 39.9% (95% confidence interval [CI], 22% to 53.7%). The incidence of all-grade cGVHD was 61.4% (95% CI, 40.3% to 75%). At 1 year, OS was 73.7% (95% CI, 60.9% to 89.1%), and the disease relapse rate was 11.4% (95% CI, .2% to 21.3%). Our results suggest that early post-allo-HCT AZA has limited efficacy in preventing aGVHD and cGVHD but could have a beneficial effect in preventing disease relapse.

Frailty and survival among veterans treated with abiraterone or enzalutamide for metastatic castration-resistant prostate cancer.

INTRODUCTION: Abiraterone and enzalutamide are treatments for metastatic castration-resistant prostate cancer (mCRPC). Due to a lack of head-to-head trials, they are prescribed interchangeably. However, the drugs have different pharmacokinetics and thus may have differing efficacy and adverse effects influenced by patient functional status and comorbid diseases. Additionally, mCRPC mainly affects older adults and since the prevalence of frailty increases with age, frailty is an important patient factor to consider in personalizing drug selection. MATERIALS AND METHODS: We conducted a retrospective observational study of US veterans treated with abiraterone or enzalutamide for mCRPC from September 2014 to June 2017. Frailty was assessed using the Veterans Affairs Frailty Index (VA-FI), which utilizes administrative codes to assign a standardized frailty score. Patients were categorized as frail if VA-FI scores were > 0.2. The primary outcome was difference in overall survival (OS) between the two treatment groups. Cox regression modeling and propensity score matching was used to compare between abiraterone and enzalutamide treatments. RESULTS: We identified 5,822 veterans, 57% of whom were initially treated with abiraterone and 43% with enzalutamide. Frail patients (n = 2,314; 39.7%) were older, with a mean age of 76.1 versus 74.9 years in the non-frail group (n = 3,508; 60.3%, p < 0.001) and had shorter OS compared to non-frail patients regardless of treatment group (18.5 vs. 26.6 months, p < 0.001). Among non-frail patients there was no significant difference in OS between abiraterone and enzalutamide treatment (27.7 vs 26.1 months, p = 0.07). However, frail patients treated with enzalutamide versus abiraterone had improved OS (20.7 vs 17.2 months, p < 0.001). In a propensity score matched analysis of frail patients (n = 2,070), enzalutamide was associated with greater median OS (24.1 vs 20.9 months, p < 0.001). In patients with dementia, enzalutamide was associated with longer OS (19.4 vs. 16.6 months, p = 0.003). DISCUSSION: In this study of 5822 US veterans with mCRPC, treatment with enzalutamide was associated with improved OS compared to abiraterone among frail veterans and veterans with dementia, but not among non-frail veterans. Future studies should evaluate interactions between frailty and cancer treatments to optimize selection of therapy among frail adults.

A Single Reference Interval for Interpreting Serum Free Light Chains across Patients with Varying Renal Function.

BACKGROUND: Serum free light chain (sFLC) assays are interpreted using a sFLC-ratio-based reference interval (manufacturer's interval) that was defined using a cohort of healthy patients. However, renal impairment elevates the sFLC-ratio, leading to a high false positive rate when using the manufacturer's interval. Prior studies have developed renal-specific reference intervals; however, this approach has not been widely adopted due to practical limitations. Thus, there remains a critical need for a renally robust sFLC interpretation method. METHODS: Retrospective data mining was used to define patient cohorts that reflect the spectrum of renal function seen in clinical practice. Two new reference intervals, one based on the sFLC-ratio and one based on a novel principal component analysis (PCA)-based metric, were developed for the FREELITE assay (Binding Site) on the Roche Cobas c501 instrument (Roche). RESULTS: Compared to the manufacturer's reference interval, both new methods exhibited significantly lower false positive rates and greater robustness to renal function while maintaining equivalent sensitivity for monoclonal gammopathy (MG) diagnosis. While not significantly different, the point estimate for sensitivity was highest for the PCA-based approach. CONCLUSION: Renally robust sFLC interpretation using a single reference interval is possible given a reference cohort that reflects the variation in renal function observed in practice. Further studies are needed to achieve sufficient power and determine if the novel PCA-based metric offers superior sensitivity for MG diagnosis. These new methods offer the practical advantages of not requiring an estimated glomerular filtration rate result or multiple reference intervals, thereby lowering practical barriers to implementation.

Dynamic frailty risk assessment among older adults with multiple myeloma: A population-based cohort study.

Multiple myeloma (MM) is a cancer of older adults and those who are more frail are at high risk of poor outcomes. Current tools for identifying and categorizing frail patients are often static and measured only at the time of diagnosis. The concept of dynamic frailty (i.e. frailty changing over time) is largely unexplored in MM. In our study, adults with newly-diagnosed MM who received novel drugs between the years 2007-2014 were identified in the Surveillance, Epidemiology, and End Results (SEER)-Medicare linked databases. Using a previously published cumulative deficit approach, a frailty index score was calculated at diagnosis and each landmark interval (1-yr, 2-yr, 3-yr post diagnosis). The association of frailty with overall survival (OS) both at baseline and at each landmark interval as well as factors associated with worsening frailty status over time were evaluated. Overall, 4617 patients were included. At baseline, 39% of the patients were categorized as moderately frail or severely frail. Among those who had 3 years of follow-up, frailty categorization changed post diagnosis in 93% of the cohort (78% improved and 72% deteriorated at least at one time point during the follow up period). In a landmark analysis, the predictive ability of frailty at the time of diagnosis decreased over time for OS (Harrell's C Statistic 0.65 at diagnosis, 0.63 at 1-yr, 0.62 at 2-yr, and 0.60 at 3-yr) and was inferior compared to current frailty status at each landmark interval. Our study is one of the first to demonstrate the dynamic nature of frailty among older adults with MM. Frailty may improve or deteriorate over time. Current frailty status is a better predictor of outcomes than frailty status at time of diagnosis, indicating the need for re-measurement in this high-risk patient population.

Single-Cell Discovery and Multiomic Characterization of Therapeutic Targets in Multiple Myeloma.

Multiple myeloma (MM) is a highly refractory hematologic cancer. Targeted immunotherapy has shown promise in MM but remains hindered by the challenge of identifying specific yet broadly representative tumor markers. We analyzed 53 bone marrow (BM) aspirates from 41 MM patients using an unbiased, high-throughput pipeline for therapeutic target discovery via single-cell transcriptomic profiling, yielding 38 MM marker genes encoding cell-surface proteins and 15 encoding intracellular proteins. Of these, 20 candidate genes were highlighted that are not yet under clinical study, 11 of which were previously uncharacterized as therapeutic targets. The findings were cross-validated using bulk RNA sequencing, flow cytometry, and proteomic mass spectrometry of MM cell lines and patient BM, demonstrating high overall concordance across data types. Independent discovery using bulk RNA sequencing reiterated top candidates, further affirming the ability of single-cell transcriptomics to accurately capture marker expression despite limitations in sample size or sequencing depth. Target dynamics and heterogeneity were further examined using both transcriptomic and immuno-imaging methods. In summary, this study presents a robust and broadly applicable strategy for identifying tumor markers to better inform the development of targeted cancer therapy. SIGNIFICANCE: Single-cell transcriptomic profiling and multiomic cross-validation to uncover therapeutic targets identifies 38 myeloma marker genes, including 11 transcribing surface proteins with previously uncharacterized potential for targeted antitumor therapy.

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.

The Dynamics of Financial Toxicity in Multiple Myeloma.

INTRODUCTION/BACKGROUND: People with multiple myeloma are at risk for financial toxicity due to the high cost of treatment and prolonged treatment duration. However, little data exist regarding financial toxicity among people with myeloma. PATIENTS AND METHODS: In this study, a cohort of 135 patients were recruited from an ongoing observational trial to complete the Comprehensive Score for financial Toxicity (COST). Participants were sent follow-up surveys at 3, 6, and 12 months. RESULTS: The median age was 68 years; the majority were non-Hispanic whites (88%), male (63%), held a college degree (61%), and had left the workforce (70%). The median time from myeloma diagnosis was 28 months. The median COST score was 27; 48% of participants had a score below 27 and considered to have financial toxicity. The only characteristic associated with financial toxicity was a college degree. After controlling for other covariates, those with a college education were 69% less likely to have financial toxicity. Of the 108 participants who completed a follow-up survey, 34% reported changes in their financial toxicity status at a subsequent time point. Transitioning from not having financial toxicity to having financial toxicity was more common than the reverse. CONCLUSION: Because financial toxicity is a dynamic process, which patients are experiencing it at any given time is difficult to predict. Focusing the research agenda on improved detection and intervention may be warranted.