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.

Real-World Treatment Patterns and Outcomes Among Multiple Myeloma Patients with Asthma and COPD in the United States.

INTRODUCTION: Multiple myeloma (MM) is the second most frequent hematologic malignancy after lymphoma, contributing to approximately 10% of all hematologic malignancies. The prognosis of patients with MM is impacted by the heterogeneity of the disease, with worse outcomes reported in patients classified as International Staging System stage III, those with high-risk cytogenetics and elevated serum lactate dehydrogenase, and among patients who are elderly and have comorbidities. Previous studies have demonstrated an association between the presence of lung disease and worse outcomes; however, this impact in a real-world setting is not well understood. METHODS: This retrospective, observational, cohort study included data from the nationwide US Optum® de-identified electronic health record (EHR) database from January 1, 2006, to December 31, 2019. MM patients with asthma or chronic obstructive pulmonary disease (COPD) were compared with MM patients without asthma or COPD for time to next treatment and overall survival using one-sided log-rank tests stratified by age and multivariable Cox proportional hazard models. RESULTS: Among 5186 patients with MM, approximately 15% had an asthma or COPD diagnosis (asthma/COPD) at baseline. The most commonly observed comorbidities among all MM patients and among those MM patients with asthma/COPD were cardiovascular disease, diabetes, and renal impairment. Time from first- to second-line treatment was significantly longer for patients with a diagnosis of COPD. Overall survival from first-line therapy was significantly worse among patients with COPD, with numerically worse overall survival from second-line therapy. CONCLUSION: These real-world data suggest that patients with asthma or COPD do not experience a shorter time interval to next treatment, but have significantly worse overall survival from start of first-line therapy and numerically worse survival from the start of later lines. Future investigations with larger datasets may improve the understanding of the influence of individual treatments on outcomes in these patients.

The long non-coding RNA NEAT1 is responsive to neuronal activity and is associated with hyperexcitability states.

Despite their abundance, the molecular functions of long non-coding RNAs in mammalian nervous systems remain poorly understood. Here we show that the long non-coding RNA, NEAT1, directly modulates neuronal excitability and is associated with pathological seizure states. Specifically, NEAT1 is dynamically regulated by neuronal activity in vitro and in vivo, binds epilepsy-associated potassium channel-interacting proteins including KCNAB2 and KCNIP1, and induces a neuronal hyper-potentiation phenotype in iPSC-derived human cortical neurons following antisense oligonucleotide knockdown. Next generation sequencing reveals a strong association of NEAT1 with increased ion channel gene expression upon activation of iPSC-derived neurons following NEAT1 knockdown. Furthermore, we show that while NEAT1 is acutely down-regulated in response to neuronal activity, repeated stimulation results in NEAT1 becoming chronically unresponsive in independent in vivo rat model systems relevant to temporal lobe epilepsy. We extended previous studies showing increased NEAT1 expression in resected cortical tissue from high spiking regions of patients suffering from intractable seizures. Our results indicate a role for NEAT1 in modulating human neuronal activity and suggest a novel mechanistic link between an activity-dependent long non-coding RNA and epilepsy.