Challenges and Strategies in the Management of Multiple Myeloma in the Elderly Population

Patient-reported frailty phenotype (PRFP) vs. International Myeloma Working Group frailty index (IMWG FI) proxy: A comparison between two approaches to measuring frailty

INTRODUCTION

Frailty assessments may help to identify patients at highest risk for treatment-related toxicity, early treatment discontinuation due to toxicity, and death in Multiple Myeloma. We aimed to compare the patient-reported frailty phenotype (PRFP) and a modified version of the International Myeloma Working Group frailty index (IMWG FI) in terms of their strengths, limitations, and classification of frailty in a cohort of patients with relapsed/refractory multiple myeloma (RRMM).

MATERIALS AND METHODS

Data were pooled from six RRMM Phase 3 randomized clinical trials submitted to the Food and Drug Administration for regulatory review between 2010 and 2021. Patients were classified as fit, intermediate fit/pre-frail, or frail using both PRFP and the IMWG FI proxy. Agreement between the two approaches in classification of patient frailty was assessed using weighted Cohen's kappa. A contingency table and Venn diagram were generated to analyze overlap in categorization of patient frailty across the different severity groups. Descriptive statistics were used to summarize and compare the clinical and demographic characteristics of patients categorized as frail by PRFP vs. IMWG FI proxy.

RESULTS

Of the 2,750 patients included in this analysis, IMWG FI proxy classified 16.4% (452) patients as frail, 28.1% (772) as intermediate fit/pre-frail, and 55.5% (1,526) as fit. Meanwhile, PRFP classified 21.7% (597) of patients as frail, 24.5% (675) as intermediate fit/pre-frail, and 53.8% (1478) as fit. Fair agreement was observed between PRFP and IMWG FI proxy (weighted Cohen's Kappa = 0.34 [0.31-0.37]). On average, patients who were categorized as frail by IMWG FI proxy were older and had higher Charlson Comorbidity Index scores than patients classified as frail by PRFP. In contrast, patients who were classified as frail by PRFP had worse EORTC QLQ-C30 Physical Functioning subscale summary scores as compared to patients in the IMWG FI proxy frail group (median score of 40 vs. 47 out of 100).

DISCUSSION

Our analysis found fair concordance between IMWG FI proxy and PRFP. This demonstrates that while both frailty models measure the same underlying construct, the variables that constitute each approach may result in differing frailty categorizations for the same patient. Further prospective studies are needed to establish and compare the predictive and prognostic abilities of the different frailty indices in MM.

Health-related quality of life and use of medication with anticholinergic activity in patients with multiple myeloma

PURPOSE

Verify the association between anticholinergic burden and health-related quality of life of patients with multiple myeloma.

METHODS

Cross-sectional study with multiple myeloma outpatient from a state capital city in southeastern Brazil. Sociodemographic, clinical, and pharmacotherapeutic variables were collected by interview. Clinical data were complemented by medical records. Drugs with anticholinergic activity were identified with Brazilian Anticholinergic Activity Drug Scale. Health-related quality of life scores were obtained using QLQ-C30 and QLQ-MY20 instruments. Mann-Whitney was used to compare the median of the health-related quality of life scale scores and the independent variables. Multivariate linear regression was performed to verify the association between independent variables and health-related quality of life scores.

RESULTS

Two hundred thirteen patients were included, 56.3% had multi-morbidities, and 71.8% used polypharmacy. In all health-related quality of life domains, there were differences between the medians of the polypharmacy variable. A significant difference was identified between the ACh burden and QLQ-C30 and QLQ-MY20 scores. Linear regression identified an association between the use of drugs with anticholinergic activity and the reduction of global status scores (QLQ-C30), functional scale (QLQ-C30), body image (QLQ-MY20), and future perspective (QLQ-MY20). Drugs with anticholinergic activity were associated with increased symptom scores (QLQ-C30 and QLQ-MY20). Polypharmacy was associated with reduction of functioning score and increase of symptom score (QLQ-C30).

CONCLUSION

Anticholinergic burden in MM patients is associated with lower scores in quality of life domains: global health and symptoms (QLQ-C30) and functional (QLQ-C30 and QLQ-MY20). The presence of polypharmacy is also associated with lower scores for functional scales and symptom scales (QLQ-C30).

Antibody Surface Profiling Identifies Glycoforms in Multiple Myeloma as Targets for Immunotherapy: From Antibody Derivatives to Mimetic Peptides for Killing Tumor Cells

Despite therapeutic advances in recent years, there are still unmet medical needs for patients with multiple myeloma (MM). Hence, new therapeutic strategies are needed. Using phage display for screening a large repertoire of single chain variable fragments (scFvs), we isolated several candidates that recognize a heavily sulfated MM-specific glycoform of the surface antigen syndecan-1 (CD138). One of the engineered scFv-Fc antibodies, named MM1, activated NK cells and induced antibody-dependent cellular cytotoxicity against MM cells. Analysis of the binding specificity by competitive binding assays with various glycan ligands identified N-sulfation of glucosamine units as essential for binding. Additionally, site-directed mutagenesis revealed that the amino acids arginine and histidine in the complementarily determining regions (CDRs) 2 and 3 of the heavy chain are important for binding. Based on this observation, a heavy-chain antibody, known as a nanobody, and a peptide mimicking the CDR loop sequences were designed. Both variants exhibited high affinity and specificity to MM cells as compared to blood lymphocytes. Specific killing of MM cells was achieved by conjugating the CDR2/3 mimic peptide to a pro-apoptotic peptide (KLAKLAK)_2. In a co-culture model, the fusion peptide killed MM cells, while leaving normal peripheral blood mononuclear cells unaffected. Collectively, the development of antibodies and peptides that detect tumor-specific glycoforms of therapeutic targets holds promise for improving targeted therapies and tumor imaging.

Management of Relapsed and Refractory Multiple Myeloma: Recent advances

Multiple myeloma (MM) accounts for ∼10% of total hematologic malignancies worldwide. In India, the incidence of MM has increased two-fold with marked heterogeneity. Significant improvements in terms of clinical outcomes have been observed in the management of MM in recent years. However, most patients develop a disease relapse with the first or subsequent treatments. A combination of immunomodulatory drugs (thalidomide and lenalidomide) and proteasome inhibitors (PIs; bortezomib) has been the mainstay for the therapeutic management of relapsed/refractory multiple myeloma (RRMM). This review highlights the management of RRMM with newer agents such as belantamab, carfilzomib, daratumumab, elotuzumab, ixazomib, mafadotin, selinexor, panobinostat, and venetoclax, with more focus on PIs. As a single agent and in combination with other drugs including dexamethasone and carfilzomib has been studied extensively and approved by the United States, European Union, and India. Clinical trials of these newer agents, either alone or in combination, for the treatment of RRMM in Western countries indicate survival, improved outcomes, and overall well-being. However, evidence in Indian patients is evolving from ongoing studies on carfilzomib and daratumumab, which will ascertain their efficacy and safety. Currently, several guidelines recommend carfilzomib-based, daratumumab-based, and panobinostat-based regimens in RRMM patients. Currently, with more accessible generic versions of these drugs, more Indian patients may attain survival benefits and improved quality of life.

Current perspectives on interethnic variability in multiple myeloma: Single cell technology, population pharmacogenetics and molecular signal transduction

•

This review discusses the emerging single cell technologies and applications in Multiple myeloma (MM), population pharmacogenetics of MM, resistance to chemotherapy, genetic determinants of drug-induced toxicity, molecular signal transduction.

•

The role(s) of epigenetics and noncoding RNAs including microRNAs (miRNAs) and long noncoding RNAs (lncRNAs) that influence the risk and severity of MM are also discussed.

•

It is understood that ethnic component acts as a driver of variable response to chemotherapy in different sub-populations globally.

•

This review augments our understanding of genetic variability in ‘myelomagenesis’ and drug-induced toxicity, myeloma microenvironment at the molecular and cellular level, and developing precision medicine strategies to combat this malignancy.

•

The emerging single cell technologies hold great promise for enhancing our understanding of MM tumor heterogeneity and clonal diversity.

Multiple myeloma (MM) is an aggressive cancer characterised by malignancy of the plasma cells and a rising global incidence. The gold standard for optimum response is aggressive chemotherapy followed by autologous stem cell transplantation (ASCT). However, majority of the patients are above 60 years and this presents the clinician with complications such as ineligibility for ASCT, frailty, drug-induced toxicity and differential/partial response to treatment. The latter is partly driven by heterogenous genotypes of the disease in different subpopulations. In this review, we discuss emerging single cell technologies and applications in MM, population pharmacogenetics of MM, resistance to chemotherapy, genetic determinants of drug-induced toxicity, molecular signal transduction, as well as the role(s) played by epigenetics and noncoding RNAs including microRNAs (miRNAs) and long noncoding RNAs (lncRNAs) that influence the risk and severity of the disease. Taken together, our discussions further our understanding of genetic variability in ‘myelomagenesis’ and drug-induced toxicity, augment our understanding of the myeloma microenvironment at the molecular and cellular level and provide a basis for developing precision medicine strategies to combat this malignancy.

Effect of therapeutic regimens and polypharmacy on health-related quality of life of people with multiple myeloma: a cross-sectional study in Belo Horizonte, Brazil

OBJECTIVE

Multiple myeloma (MM) is an incurable hematological cancer and its treatment is geared to promote better Health-Related Quality of Life (HRQoL). We aimed to assess HRQoL and compare scores between variables on therapeutic regimens and polypharmacy in MM patients.

METHODS

This cross-sectional study was performed from April/2019 to February/2020 in Belo Horizonte, Brazil. HRQoL scores were obtained by the QLQ-C30 and QLQ-MY20 instruments. Data were retrieved from interviews and medical records. Therapeutic regimens were grouped into thalidomide-containing regimens; bortezomib-containing regimens; bortezomib and thalidomide-containing regimens; other therapeutic regimens, and remission group. We performed univariate analyses by the Mann-Whitney method and adopted the Kruskal-Wallis test for multiple comparisons. Robust multiple linear regression was used to determine the association between independent variables and the HRQoL scores.

RESULTS

The sample included 225 participants and most patients (65.3%) were on active treatment and had worse scores concerning future perspective. Polypharmacy was associated with worse scores on all scales in the univariate analyses. We observed a difference in the global health and body image (p < .05) scales in the multiple comparisons with therapeutic regimens. The global health scale difference was found between groups with other regimens and the remission group (p < .05). The difference between the bortezomib and thalidomide-containing regimens and remission group was not statistically significant (p = .077) in the body image scale. The multiple linear regression maintained the association of polypharmacy with worse HRQoL scores.

CONCLUSION

We identified an independent association between HRQoL and polypharmacy in MM patients. However, there was no difference between the evaluated regimens, suggesting they are equivalent in Brazil about HRQoL.

Machine Learning–Based Overall Survival Prediction of Elderly Patients With Multiple Myeloma From Multicentre Real-Life Data

Objective

To use machine learning methods to explore overall survival (OS)-related prognostic factors in elderly multiple myeloma (MM) patients.

Methods

Data were cleaned and imputed using simple imputation methods. Two data resampling methods were implemented to facilitate model building and cross validation. Four algorithms including the cox proportional hazards model (CPH); DeepSurv; DeepHit; and the random survival forest (RSF) were applied to incorporate 30 parameters, such as baseline data, genetic abnormalities and treatment options, to construct a prognostic model for OS prediction in 338 elderly MM patients (>65 years old) from four hospitals in Beijing. The C-index and the integrated Brier score (IBwere used to evaluate model performances.

Results

The 30 variables incorporated in the models comprised MM baseline data, induction treatment data and maintenance therapy data. The variable importance test showed that the OS predictions were largely affected by the maintenance schema variable. Visualizing the survival curves by maintenance schema, we realized that the immunomodulator group had the best survival rate. C-indexes of 0.769, 0.780, 0.785, 0.798 and IBS score of 0.142, 0.112, 0.108, 0.099 were obtained from the CPH model, DeepSurv, DeepHit, and the RSF model respectively. The RSF model yield best scores from the fivefold cross-validation, and the results showed that different data resampling methods did affect our model results.

Conclusion

We established an OS model for elderly MM patients without genomic data based on 30 characteristics and treatment data by machine learning.

Metabolic Vulnerabilities in Multiple Myeloma

Multiple myeloma (MM) remains an incurable malignancy with eventual emergence of refractory disease. Metabolic shifts, which ensure the availability of sufficient energy to support hyperproliferation of malignant cells, are a hallmark of cancer. Deregulated metabolic pathways have implications for the tumor microenvironment, immune cell function, prognostic significance in MM and anti-myeloma drug resistance. Herein, we summarize recent findings on metabolic abnormalities in MM and clinical implications driven by metabolism that may consequently inspire novel therapeutic interventions. We highlight some future perspectives on metabolism in MM and propose potential targets that might revolutionize the field.

Amp 1q21 is more predictable with dismal survival than gain 1q21 of newly diagnosed multiple myeloma in real-world analysis

Introduction

The gain/amplification (amp) of 1q21 is one of the most common high‐risk chromosome abnormality (HRCA) in multiple myeloma (MM). The prognostic value of 1q21+ remains to be controversial on the status of gain or amp and the combination of other HRCAs.

Methods

In this retrospective study, we included 318 newly diagnosed MM (NDMM) patients who had fluorescence in situ hybridization (FISH) data and treated with novel agents in our department.

Results

Our study noted MM patients with amp 1q21 were more likely accompanied with t(4;14), t(14;16), and t(14;20). Patients with amp 1q21 presented with elder age, advanced Revised International Staging System (R‐ISS) stages, anemia, and more plasma cells in bone marrow compared to patients with gain 1q21 alone and no 1q21+. Moreover, amp 1q21 alone correlated with shorter progression‐free survival (PFS) (22.8m vs. 40.5m vs. 39.6m) and overall survival (OS) (45.2m vs. NA vs. 83.5m) compared with gain 1q21 alone and no FISH abnormalities. Although the high ratio of proteasome inhibitor and immunomodulatory drugs used in patients with amp 1q21, the overall response (ORR) was the lowest compared with no 1q21+ and gain 1q21. Multivariate analysis defined amp 1q21 as an independent prognostic marker for NDMM patients, rather than gain 1q21.

Conclusion

The amp 1q21 predict inferior treatment response and survival, especially coexisted with high‐risk IgH translocation.

Validity and reliability of the QLQ-MY20 module for assessing the health-related quality of life in Brazilians with multiple myeloma

PURPOSE

Multiple myeloma (MM) is a rare but treatable hematological cancer, which makes the health-related quality of life (HRQoL) an important patient-report outcome measure in clinical studies. The Quality of Life Questionnaire Multiple Myeloma Module (QLQ-MY20) was developed by the European Organization for Research and Treatment of Cancer (EORTC) to measure HRQoL in people with MM. However, the Brazilian Portuguese version of QLQ-MY20 has not yet been validated for Brazil. This study aimed to evaluate the validity and reliability of the instrument for application in Brazilian patients with MM.

METHODS

This is a cross-sectional methodological study with patients seen in health services in Belo Horizonte, Brazil. The variables were collected through face-to-face interviews with the QLQ-MY20 instrument and complemented with data from medical records. Content validity analyses (content validity coefficient [CVC]; correctness ratio), convergent and divergent validity (Spearman's correlation coefficient [CC]), internal consistency, and temporal reproducibility (test-retest; intraclass correlation coefficient [ICC]) were performed.

RESULTS

225 patients were included and 71.1% were older than 60. The analysis of the judging committee showed adequate content validity. We observed mainly a good internal consistency of the items and good discrimination power in the convergent and divergent validity. High ICC values were observed through the test-retest, and there was no difference in the scores between the two moments, which shows good temporal stability of the instrument.

CONCLUSION

The study allowed us to conclude that the Brazilian version of the QLQ-MY20 module is valid and reliable, and thus suitable for application in Brazilians living with MM.

Effect of age and frailty on the efficacy and tolerability of once-weekly selinexor, bortezomib, and dexamethasone in previously treated multiple myeloma

Elderly and frail patients with multiple myeloma (MM) are more vulnerable to the toxicity of combination therapies, often resulting in treatment modifications and suboptimal outcomes. The phase 3 BOSTON study showed that once-weekly selinexor and bortezomib with low-dose dexamethasone (XVd) improved PFS and ORR compared with standard twice-weekly bortezomib and moderate-dose dexamethasone (Vd) in patients with previously treated MM. This is a retrospective subgroup analysis of the multicenter, prospective, randomized BOSTON trial. Post hoc analyses were performed to compare XVd versus Vd safety and efficacy according to age and frailty status (<65 and ≥65 years, nonfrail and frail). Patients ≥65 years with XVd had higher ORR (OR 1.77, p = .024), ≥VGPR (OR, 1.68, p = .027), PFS (HR 0.55, p = .002), and improved OS (HR 0.63, p = .030), compared with Vd. In frail patients, XVd was associated with a trend towards better PFS (HR 0.69, p = .08) and OS (HR 0.62, p = .062). Significant improvements were also observed in patients <65 (ORR and TTNT) and nonfrail patients (PFS, ORR, ≥VGPR, and TTNT). Patients treated with XVd had a lower incidence of grade ≥ 2 peripheral neuropathy in ≥65 year-old (22% vs. 37%; p = .0060) and frail patients (15% vs. 44%; p = .0002). Grade ≥3 TEAEs were not observed more often in older compared to younger patients, nor in frail compared to nonfrail patients. XVd is safe and effective in patients <65 and ≥65 and in nonfrail and frail patients with previously treated MM.

Treatment patterns and outcomes in real-world transplant-ineligible patients newly diagnosed with multiple myeloma

Despite the significant proportion of older patients with newly diagnosed multiple myeloma (MM), most clinical trials driving therapeutic decisions in routine practice include younger and presumably healthier patients than those in the real world. Furthermore, longitudinal studies suggest that elderly, transplant-ineligible patients with MM are not benefitting enough from new anti-MM agents. We retrospectively analyzed the profile of and treatment patterns and outcomes in 675 transplant-ineligible patients with MM who started frontline therapy in routine practice. The mean (SD) age was 75.6 (6.7) years; 152 (47.4%) had Eastern Cooperative Oncology Group performance status (ECOG PS) 2-4, and 73 (25.1%) had high cytogenetic risk. The most frequent frontline therapy was non-VMP bortezomib-based regimens (n=207; 30.7%), which were more frequent among patients with ECOG PS 0/1 and higher risk (e.g., international staging system (ISS) stage III, severely impaired glomerular filtrate rate (GFR), high lactate dehydrogenase (LDH), and high-risk cytogenetics); 185 patients (27.4%) started an attenuated (lite) VMP regimen, and 159 (23.6%) a VMP (VISTA) regimen. Median progression-free survival and overall survival (OS) were 15.3 months (95%CI 14.0-16.9) and 33.5 months (95%CI 29.1-37.2), respectively; 405 patients (78.2%) achieved partial response or better. Age, ECOG PS, ISS stage, serum LDH, GFR, cytogenetic risk, and treatment regimen significantly influenced OS. In this study, a remarkable proportion of transplant-ineligible patients with MM were older, frontline regimens were highly heterogeneous, and patients at higher risk often received less efficacious combinations. These findings suggest that clinicians have limited objective criteria for therapeutic decisions for this patient group.

Approaches and Challenges in the Management of Multiple Myeloma in the Very Old: Future Treatment Prospects

The increasing incidence of geriatric patients with multiple myeloma has elevated concerns in clinical practice. While the introduction of novel therapeutic agents has substantially improved outcomes in younger patients with myeloma, poorer outcomes remain in older patients. Managing older patients requires a multidisciplinary team approach to consider factors that may influence both treatment selection and outcomes. Aging is associated with remodeling of vital organs, physiological downregulations of basal metabolism, susceptibility to multiple comorbidities with ultimate frailty, thereby contributing to the underrepresentation and exclusion of very old patients from clinical trials. Therefore, timely confirmation of a precise diagnosis is crucial for prompt initiation of treatment if the desired outcome is to be achieved. Adequate and judicious assessment using comprehensive geriatric assessment tools minimizes toxicities and treatment discontinuation. Initiating treatment with combinational therapy requires knowledge of indications and anticipated outcomes, as well as individualized therapy with appropriate dose-adjustment. Individualized therapy based on good clinical acumen and best practices obverts unwanted polypharmacy, preventing iatrogenic harm. This review will therefore address the approaches and challenges faced in managing myeloma in geriatric patients aged 80 years and older, highlighting recommended therapeutic strategies and future prospective regimens.

Immune-based therapies in the management of multiple myeloma

Multiple myeloma (MM) is a clonal plasma cell malignancy affecting a predominantly elderly population. The continued development of newer therapies with novel mechanisms of action has reshaped the treatment paradigm of this disorder in the last two decades, leading to a significantly improved prognosis. This has in turn resulted in an increasing number of patients in need of therapy for relapsed/refractory disease. Immune-based therapies, including monoclonal antibodies, immune checkpoint inhibitors, and most promisingly, adoptive cellular therapies represent important therapeutic strategies in these patients due to their non-cross resistant mechanisms of actions with the usual frontline therapies comprising of immunomodulatory drugs (IMiDs) and proteasome inhibitors (PIs). The anti-CD38 antibodies daratumumab and more recently isatuximab, with their excellent efficacy and safety profile along with its synergy in combination with IMiDs and PIs, are being increasingly incorporated in the frontline setting. Chimeric antigen receptor-T cell (CART) therapies and bi-specific T-cell engager (BiTE) represent exciting new options that have demonstrated efficacy in heavily pretreated and refractory MM. In this review, we discuss the rationale for use of immune-based therapies in MM and summarize the currently available literature for common antibodies and CAR-T therapies that are utilized in MM.

Patient-reported measures of well-being in older multiple myeloma patients: use of secondary data source

BACKGROUND

Changes in well-being of patients with multiple myeloma (MM) before and after diagnosis have not been quantified.

AIMS

Explore the use of secondary data to examine the changes in the well-being of older patients with MM.

METHODS

We used the Health and Retirement Study (HRS), linked to Medicare claims to identify older MM patients. We compared patient-reported measures (PRM), including physical impairment, sensory impairment, and patient experience (significant pain, self-rated health, depression) in the interviews before and after MM diagnosis using McNemar's test. We propensity-matched each MM patient to five HRS participants without MM diagnosis based on baseline characteristics. We compared the change in PRM between the MM patients and their matches.

RESULTS

We identified 92 HRS patients with MM diagnosis (mean age = 74.6, SD = 8.4). Among the surviving patients, there was a decline in well-being across most measures, including ADL difficulty (23% to 40%, p value = 0.016), poor or fair self-rated health (38% to 61%, p value = 0.004), and depression (15% to 30%, p value = 0.021). Surviving patients reported worse health than participants without MM across most measures, including ADL difficulty (40% vs. 27%, p value = 0.04), significant pain (38% vs. 22%, p value = 0.01), and depression (29% vs. 11%, p value = 0.003).

DISCUSSION

Secondary data were used to identify patients with MM diagnosis, and examine changes across multiple measures of well-being. MM diagnosis negatively affects several aspects of patients' well-being, and these declines are larger than those experienced by similar participants without MM.

CONCLUSION

The results of this study are valuable addition to understanding the experience of patients with MM, despite several data limitations.