Real-world assessment of treatment patterns and outcomes in patients with relapsed-refractory multiple myeloma in an Italian haematological tertiary care centre.

Despite significant improvements in therapeutic options, multiple myeloma (MM) patients experience a series of remissions and relapses requiring further lines of therapy (LOTs). We analysed treatment pathways, attrition rates (ARs) and refractoriness patterns across LOTs in 413 MM patients treated from 2011 and 2021. Across LOT-2 to LOT-5 ARs were 26%, 27%, 34% and 37.5%, being 50% for subsequent LOTs. In univariate analysis age over 65 years, international staging system (ISS) II/III, more than two comorbidities, no transplant and no maintenance therapy were significantly associated with AR but regression analysis selected only age over 65 years and more than 2 comorbidities. Median progression-free survival (PFS) was 40.5, 19.5, 10.3, 6 and 4.7 months from LOT-1 to LOT-5. Lenalidomide-refractory patients, among those relapsed after LOT-1, were 26% and 64.5% respectively, in patients starting therapy before 2019 versus in or after 2021. In the two cohorts, 57.5% and 85.5% of patients relapsed after LOT-2 were lenalidomide-refractory. Among patients not relapsed from LOT-1, 80% are receiving continuous lenalidomide and could become lenalidomide-refractory, whereas 91% and 51.5% of patients in LOT-2 could become potential lenalidomide- and daratumumab-refractory respectively. In our analysis the rate of patients reaching subsequent LOTs was higher than previously reported and the increase in early refractoriness would require faster and more efficient treatment licensing processes.

Minimal residual disease assessment by multiparameter flow cytometry in transplant-eligible myeloma in the EMN02/HOVON 95 MM trial.

Minimal residual disease (MRD) by multiparameter flow cytometry (MFC) is the most effective tool to define a deep response in multiple myeloma (MM). We conducted an MRD correlative study of the EMN02/HO95 MM phase III trial in newly diagnosed MM patients achieving a suspected complete response before maintenance and every 6 months during maintenance. Patients received high-dose melphalan (HDM) versus bortezomib-melphalan-prednisone (VMP) intensification, followed by bortezomib-lenalidomide-dexamethasone (VRd) versus no consolidation, and lenalidomide maintenance. Bone marrow (BM) samples were processed in three European laboratories, applying EuroFlow-based MFC protocols (eight colors, two tubes) with 10-4-10-5 sensitivity. At enrollment in the MRD correlative study, 76% (244/321) of patients were MRD-negative. In the intention-to-treat analysis, after a median follow-up of 75 months, 5-year progression-free survival was 66% in MRD-negative versus 31% in MRD-positive patients (HR 0.39; p < 0.001), 5-year overall survival was 86% versus 69%, respectively (HR 0.41; p < 0.001). MRD negativity was associated with reduced risk of progression or death in all subgroups, including ISS-III (HR 0.37) and high-risk fluorescence in situ hybridization (FISH) patients (HR 0.38;). In the 1-year maintenance MRD population, 42% of MRD-positive patients at pre-maintenance became MRD-negative after lenalidomide exposure. In conclusion, MRD by MFC is a strong prognostic factor. Lenalidomide maintenance further improved MRD-negativity rate.

Geriatric assessment predicts survival and toxicities in elderly myeloma patients: an International Myeloma Working Group report.

We conducted a pooled analysis of 869 individual newly diagnosed elderly patient data from 3 prospective trials. At diagnosis, a geriatric assessment had been performed. An additive scoring system (range 0-5), based on age, comorbidities, and cognitive and physical conditions, was developed to identify 3 groups: fit (score = 0, 39%), intermediate fitness (score = 1, 31%), and frail (score ≥2, 30%). The 3-year overall survival was 84% in fit, 76% in intermediate-fitness (hazard ratio [HR], 1.61; P = .042), and 57% in frail (HR, 3.57; P < .001) patients. The cumulative incidence of grade ≥3 nonhematologic adverse events at 12 months was 22.2% in fit, 26.4% in intermediate-fitness (HR, 1.23; P = .217), and 34.0% in frail (HR, 1.74; P < .001) patients. The cumulative incidence of treatment discontinuation at 12 months was 16.5% in fit, 20.8% in intermediate-fitness (HR, 1.41; P = .052), and 31.2% in frail (HR, 2.21; P < .001) patients. Our frailty score predicts mortality and the risk of toxicity in elderly myeloma patients. The International Myeloma Working group proposes this score for the measurement of frailty in designing future clinical trials. These trials are registered at www.clinicaltrials.gov as #NCT01093136 (EMN01), #NCT01190787 (26866138MMY2069), and #NCT01346787 (IST-CAR-506).

Assessment of vulnerability measures and their effect on survival in a real-life population of multiple myeloma patients registered at Marche Region Multiple Myeloma Registry.

UNLABELLED: Multiple myeloma (MM) therapy should be tailored according to patient characteristics although we do not know which ones to use. By studying the characteristics of 266 real-life patients, we found performance status (PS) and Charlson Comorbidity Index (CCI) as factors affecting survival of MM patients regardless of their disease characteristics. This study might help to select patients for tailoring therapy in clinical practice. BACKGROUND: Multiple myeloma is a typical disease of the elderly but how many and which patients can be considered 'vulnerable' and how this may affect patient outcome remain unsolved issues. PATIENTS AND METHODS: Data from 266 symptomatic MM patients registered at Marche MM registry from 2007 to 2010 were evaluated retrospectively. Vulnerability was defined as age > 75 years, PS (World Health Organization) ≥ 2, renal insufficiency (RI), bone fracture, cytopenias, and CCI score ≥ 1. Kaplan-Meier method and Cox regression were used to assess survival and associated factors. A vulnerability score (VS) incorporating significant vulnerability features was pursued to predict survival. RESULTS: Thirty-eight percent of patients were older than 75 years, 39% had PS = 2-4, 35% had at least 2 cytopenias, 40% had bone fracture, 14% RI, and 51% had CCI score ≥ 1. Cox regression selected international staging system (ISS) = III (hazard ratio [HR] = 1.6; P = .033), PS = 2-4 (HR = 2.5; P = .007), and CCI = 1-3 (HR = 2.1; P = .028) as factors associated with a worse overall survival. A VS including PS and CCI predicted median survival of 27 months in the 63 patients having a VS = 2 (both PS = 2-4 and CCI = 1-3) versus not reached (NR) in the 203 patients with VS = 0-1 (HR = 4.0; P < .0001). In younger patients multivariate analysis selected ISS = III (HR = 5.2; P = .006) and VS = 2 (HR = 5.5; P = .024) as factors associated with shorter survival whereas only VS = 2 (HR = 3.5; P = .002) affected worse survival in elderly. CONCLUSION: Such VS proved to be a powerful prognostic factor for survival of MM patients and it might be useful to identify true vulnerable patients regardless of age.

Risk assessment of patients with hematologic malignancies who develop fever accompanied by pulmonary infiltrates: a historical cohort study.

BACKGROUND: The mortality rate associated with fever accompanied by pulmonary infiltrates after chemotherapy for hematologic malignancies remains higher than the corresponding rate associated with febrile neutropenia without pulmonary infiltrates. Nonetheless, few studies have focused on the factors that predict outcome for patients with lung infiltrates. The purpose of the current study was to construct a risk model for clinical use by assessing the factors that affect outcome for patients with fever and pulmonary infiltrates. METHODS: A historical cohort of 110 patients with hematologic malignancies who developed fever and pulmonary infiltrates was examined. Using parameters for which data were available at the onset of lung infiltrates, univariate and multivariate analyses were performed to assess factors affecting outcome. After a value of one point was assigned to each significant variable, a prediction score was calculated for each patient; scores were used to generate a system for identifying patients with a low risk of death due to fever accompanied by pulmonary infiltrates. RESULTS: The crude mortality rate associated with pulmonary infiltrates was 23%; factors associated with cure included a favorable change in white blood cell counts (odds ratio [OR], 5.6; 95% confidence interval [CI], 1.7-18.9; P = 0.001), C-reactive protein levels < 10 mg/dL (OR, 4.6; 95% CI, 1.6-13.8; P = 0.001), and serum albumin levels > or = 3 g/dL (OR, 3.2; 95% CI, 1.4-7.3; P = 0.004). Low-risk patients (risk score, 2-3) and high-risk patients (risk score, 0-1) had survival rates of 95% and 46%, respectively (P < 0.0001). The risk model had a specificity of 88% and a positive predictive value of 95%. CONCLUSIONS: The risk model tested in the current study accurately predicted the survival of patients with hematologic malignancies who developed fever with pulmonary infiltrates. Once prospectively validated, the model could be used to select patients for trials involving novel diagnostic and therapeutic strategies.