Citations 3

Efficacy and Safety of Anselamimab in Immunoglobulin Light Chain Amyloidosis: Results From the Randomized CARES Trials

Journal of Clinical Oncology | May 29, 2026 | Volume: 44 | Issue: 20 | Pages: 1899-1910

10.1200/jco-26-00755 | PMID 42212672

PURPOSE In immunoglobulin light chain (AL) amyloidosis, amyloid fibrils cause organ dysfunction. Anselamimab, a monoclonal antibody, selectively binds to amyloid fibrils, accelerating their clearance. METHODS Newly diagnosed patients with European modification of Mayo 2004 stage IIIa or IIIb AL amyloidosis were randomly assigned to receive anselamimab or placebo with cyclophosphamide, bortezomib, and dexamethasone (with or without daratumumab). The primary end point was a hierarchical composite of time to all-cause mortality (ACM) and frequency of cardiovascular hospitalizations (CVHs), analyzed using the Finkelstein-Schoenfeld test and win ratio estimation. RESULTS Among 406 randomly assigned patients, the primary end point win ratio for anselamimab versus placebo was 1.11 (95% CI, 0.83, 1.50; P = .332) and the hazard ratio (HR) for ACM was 0.80 (95% CI, 0.57, 1.13; P = .290). CVH rates in the anselamimab and placebo groups were 0.59 (95% CI, 0.42, 0.83) and 0.89 (95% CI, 0.55, 1.43), respectively ( P = .145). Among patients with kappa isotype (n = 72), the win ratio was 2.06 (95% CI, 0.98, 4.31; P = .100) and anselamimab reduced ACM by 62% versus placebo (HR, 0.38; 95% CI, 0.17 to 0.86; nominal P = .012), and CVH by 71% (IRR, 0.29; 95% CI, 0.10 to 0.87; nominal P = .028) with improvements in Kansas City Cardiomyopathy Questionnaire-Overall Score. There was no clinical benefit observed in the lambda population. Anselamimab was generally well-tolerated; safety data were comparable between treatment arms overall. CONCLUSION Treatment with anselamimab, an antifibril antibody used alongside antiplasma cell dyscrasia therapy, while not meeting the primary end point in the overall population, significantly improved ACM and CVH in patients with kappa AL, potentially offering a new therapeutic option for this isotype.
Genomic Classification and Individualized Prognosis in Multiple Myeloma

Journal of Clinical Oncology | January 9, 2024 | Volume: 42 | Issue: 11 | Pages: 1229-1240

10.1200/jco.23.01277 | PMID 38194610

PURPOSE Outcomes for patients with newly diagnosed multiple myeloma (NDMM) are heterogenous, with overall survival (OS) ranging from months to over 10 years. METHODS To decipher and predict the molecular and clinical heterogeneity of NDMM, we assembled a series of 1,933 patients with available clinical, genomic, and therapeutic data. RESULTS Leveraging a comprehensive catalog of genomic drivers, we identified 12 groups, expanding on previous gene expression–based molecular classifications. To build a model predicting individualized risk in NDMM (IRMMa), we integrated clinical, genomic, and treatment variables. To correct for time-dependent variables, including high-dose melphalan followed by autologous stem-cell transplantation (HDM-ASCT), and maintenance therapy, a multi-state model was designed. The IRMMa model accuracy was significantly higher than all comparator prognostic models, with a c-index for OS of 0.726, compared with International Staging System (ISS; 0.61), revised-ISS (0.572), and R2-ISS (0.625). Integral to model accuracy was 20 genomic features, including 1q21 gain/amp, del 1p, TP53 loss, NSD2 translocations, APOBEC mutational signatures, and copy-number signatures (reflecting the complex structural variant chromothripsis). IRMMa accuracy and superiority compared with other prognostic models were validated on 256 patients enrolled in the GMMG-HD6 (ClinicalTrials.gov identifier: NCT02495922 ) clinical trial. Individualized patient risks were significantly affected across the 12 genomic groups by different treatment strategies (ie, treatment variance), which was used to identify patients for whom HDM-ASCT is particularly effective versus patients for whom the impact is limited. CONCLUSION Integrating clinical, demographic, genomic, and therapeutic data, to our knowledge, we have developed the first individualized risk-prediction model enabling personally tailored therapeutic decisions for patients with NDMM.
Oral ixazomib-dexamethasone versus oral pomalidomide-dexamethasone for lenalidomide-refractory, proteasome inhibitor-exposed multiple myeloma (MM) patients: A global, multicenter, randomized, open-label, phase 2 trial.

Journal of Clinical Oncology | June 2, 2021 | Volume: 39 | Issue: 15_suppl | Pages: 8020-8020

10.1200/jco.2021.39.15_suppl.8020

8020 Background: MM patients (pts) often receive several lines of therapy with multiple drug combinations and, as lenalidomide (R)-containing regimens are commonly used as first-line therapy, R-free options for subsequent lines are necessary. Additionally, as pts age and become less tolerant to treatment, more convenient regimens, such as all-oral options, with less toxicity are needed. Dexamethasone (dex)-based doublets are effective and tolerable in this setting. Methods: Proteasome inhibitor (PI)-exposed and/or intolerant and R-refractory pts who had ≥2 prior therapies (N = 122) were randomized 3:2 to receive: ixazomib (ixa) 4 mg (5.5 mg from cycle 2 if tolerated) on day (d) 1, 8, 15, and dex 20 mg (≥75 years [yrs], 10 mg) on d 1, 2, 8, 9, 15, 16, 22, 23; or pomalidomide (pom) 4 mg on d 1–21, and dex 40 mg (≥75 yrs, 20 mg) on d 1, 8, 15, 22, in 28-d cycles until progressive disease (PD) or unacceptable toxicity. Pts were stratified by age ( < 65 vs ≥65 yrs), International Staging System (ISS) disease stage at study entry (I/II vs III), and prior lines of therapy (2 vs ≥3). The study was powered to test the primary endpoint of progression-free survival (PFS). Results: In the ixa-dex (n = 73) vs pom-dex (n = 49) arms, median age was 72 vs 68 yrs (36% vs 18% ≥75 yrs), 25% vs 22% of pts had ISS stage III MM, and 52% vs 53% had received ≥3 prior therapies (per stratification). At data cutoff (5/31/2020), 19% vs 20% of pts were ongoing on treatment with ixa-dex vs pom-dex; primary reasons for discontinuation were PD (47% vs 57%) and adverse events (AEs; 23% vs 12%). With median follow-up of 15.3 vs 17.3 months (mos), median PFS (mPFS) was 7.1 vs 4.8 mos with ixa-dex vs pom-dex (hazard ratio [HR] 0.847; 95% confidence interval [CI] 0.535–1.341; p = 0.477); the Table shows mPFS by prior lines, and secondary endpoints. Pts received a median of 6 cycles with both ixa-dex (range 1–25) and pom-dex (range 1–27); 64% of ixa-dex pts were able to escalate to a 5.5 mg dose of ixa. 69% vs 81% of ixa-dex vs pom-dex pts had grade (G) ≥3 AEs, 51% vs 53% had serious AEs, 39% vs 36% had an AE leading to drug discontinuation, 44% vs 32% had an AE leading to dose reduction, and 13% vs 13% died on study. Health-related quality of life (HRQoL; EORTC QLQ-C30/MY20, and EQ-5D-5L) was maintained, and similar between arms. Conclusions: Ixa-dex prolonged PFS vs pom-dex in these heavily pretreated, PI-exposed and/or intolerant, R-refractory pts, but the difference was not statistically significant. Ixa-dex was well tolerated, with lower G≥3 AE rates vs pom-dex, and comparable HRQoL. Clinical trial information: NCT03170882.