PURPOSE Systematic integration of tobacco cessation treatment within cancer centers is needed to improve smoking cessation outcomes among cancer patients and survivors. The current study characterizes baseline rates of tobacco use, use of cessation support, and changes in tobacco use over time among 756 participants diagnosed with cancer and enrolled in 9 ECOG-ACRIN Cancer Research Group trials. MATERIALS AND METHODS Participants completed surveys at trial enrollment and at 3- and 6-month follow-ups. Descriptive statistics were used to characterize patient characteristics and selected items from the Cancer Patient Tobacco Use Questionnaire (C-TUQ). Generalized estimating equations were used to examine the time point effect on tobacco product use. RESULTS At baseline, 11% of participants (n = 740) currently smoked cigarettes. Among participants with data available at all time points (n = 443), prevalence of current smoking was stable over time, with 7.2% of participants (n = 32) reporting current smoking at baseline, 7.0% (n = 31) at the 3-month follow-up assessment, and 6.8% (n = 30) at the 6-month follow-up assessment. Most participants (n = 77/104) who smoked cigarettes within the year prior to their cancer diagnosis continued smoking after their diagnosis, and during (n = 44/72) and following completion (n = 30/46) of their treatment. Sixty-two percent of participants (n = 81) who were currently smoking at baseline reported using smoking cessation medication and 32.1% reported use of nonpharmacologic smoking cessation support since their cancer diagnosis. In longitudinal analyses, the odds of using cigarettes since their cancer diagnosis, 3-month follow-up, and 6-month follow-up was higher than the odds of using cigarettes for the past 30 days at baseline (odds ratio [OR] = 1.97, OR = 1.62, and OR = 1.50, respectively; all p s < .01). CONCLUSION Smoking persists over time among patients with cancer enrolled in therapeutic cancer trials. Findings highlight the importance of increasing access to integrated and longitudinal smoking cessation support.
Continuous or Fixed-Duration Maintenance Therapy in Multiple Myeloma
ABSTRACT Ciltacabtagene autoleucel (cilta‐cel) has demonstrated excellent efficacy and long‐term disease control in patients with relapsed/refractory multiple myeloma (RRMM). However, a proportion of patients experience early treatment failures. We investigated clinical factors associated with early progression or death (within 12 months) in patients with RRMM receiving standard‐of‐care cilta‐cel across the three Mayo clinic centers. Patients with a follow‐up of at least 12 months or progression or death within 12 months from infusion were included. Of the patients with early treatment failure ( n = 52), 69% had progressive disease and 31% had a non‐relapse mortality (NRM) event. In patients without early treatment failure ( n = 164), 13% of events were NRM. Among pretreatment factors, prior BCMA‐directed therapy, presence of extramedullary disease and a CAR‐HEMATOTOX score of ≥ 2 were independent predictors of early progression or death. The utilization of cilta‐cel in earlier lines of treatment (1–3 vs. 4 or more) demonstrated comparable PFS (12‐month PFS 73% vs. 77%, p = 0.94). Measurable residual disease positivity in the bone marrow at 3 months (11/197 patients) identified a small but high‐risk group with an increased risk of early treatment failure (OR 5.68; p = 0.012). Patients with less than a complete response on a FDG PET/CT at 3 months also had an increased risk of early treatment failure (OR 11.8; p < 0.0001). Our findings may help identify patients at high‐risk for early adverse outcomes despite receiving highly effective therapy, and support consideration of novel therapeutic strategies within a clinical trial setting.
Clinical course, risk factors, and therapeutic response in multiple myeloma with central nervous system involvement
Abstract Extramedullary disease (EMD) is increasingly recognized in relapsed/refractory multiple myeloma (MM), with central nervous system involvement (CNS-MM) representing a rare but highly aggressive manifestation associated with dismal outcomes. Data on its incidence and optimal management, particularly in the era of cellular and bispecific therapies, remain limited. We conducted a retrospective analysis of patients with MM with pathology-confirmed EMD treated at our institution between January 2000 and December 2023. CNS-MM was defined by parenchymal or leptomeningeal involvement. Clinical features, cytogenetics, treatments, and outcomes were analyzed, with predictors of CNS involvement evaluated among patients with EMD. Among 304 patients with EMD, 20 (6.5%) had CNS-MM. CNS involvement occurred a median of 19.2 months after MM diagnosis, though 15% presented at diagnosis. CNS-MM was strongly associated with high-risk cytogenetics (odds ratio [OR], 3.7) and additional visceral EMD (OR, 4.6). Median overall survival (OS) from CNS-MM diagnosis was 4.2 months. Outcomes were significantly improved in patients receiving chimeric antigen receptor T-cell therapy or bispecific antibodies, with a median OS of 19.2 months vs 1.2 months in those who did not receive immune effector therapies. Intrathecal (IT) chemotherapy demonstrated limited and transient benefit. In conclusion, CNS-MM is an aggressive complication enriched in high-risk, multifocal EMD with extremely poor prognosis. Cellular and bispecific therapies show promising activity and may meaningfully improve survival, whereas IT therapy appears to have limited efficacy. Prospective studies are needed to define optimal treatment strategies for CNS-MM.
Survival Trends in Waldenström Macroglobulinemia and Comparison of Outcomes with the General US Population
Abstract Therapeutic options for Waldenström macroglobulinemia (WM) have expanded but improvements in overall-survival (OS) are difficult to interpret due to competing non–WM mortality. We conducted a large single-center retrospective study of 1,020 patients with WM to evaluate survival trends. Patients were stratified by era of active WM diagnosis using a two-era model (1996–2005 and post-2005) and a four-era model (pre-2001, 2001–2007, 2008–2013, and post-2013). OS did not differ significantly across eras in the overall cohort (p = 0.64 and p = 0.86 for the two- and four-era models). However, among patients aged < 65 years at the time of active WM diagnosis in the 2-era model, OS improved in the post-2006 era (median 18.8 vs 14.1 years, p = 0.018). Cause-specific-survival (CSS) improved across all eras, increasing from 15.6 years in 1996–2005 to 18.9 years post-2006 (p < 0.0001), and from 13.7 years pre-2001 to not reached in later periods in the four-era model (p < 0.0001). Competing-risk-analysis (CRA) demonstrated a reduction in WM-related mortality over time (p < 0.001). However, excess mortality persisted, with a standardized mortality ratio (SMR) of 2.79 (p < 0.001) among patients < 65 years compared with a matched U.S. population. Our findings highlight improvements in WM-specific survival, while gains in OS are observed in younger patients.
Patterns of Progression and Clinical Outcomes After First Progression in Patients With Primary Plasma Cell Leukemia
ABSTRACT Primary plasma cell leukemia (pPCL) is a rare and aggressive plasma cell disorder with inferior outcomes compared with multiple myeloma (MM). However, studies describing outcomes after first progression and subsequent lines of therapy remain limited. We retrospectively analyzed 104 patients with pPCL who progressed after first‐line therapy treated at one comprehensive cancer center between 2006 and 2024. Clinical characteristics, treatments, time to next treatment (TTNT), and overall survival (OS) were assessed using Kaplan–Meier methods. All pPCL patients received novel agent–based induction. At the time of analysis, 63% had died; median OS was 39 months. High‐risk cytogenetics were present in 71%. The median TTNT after first‐line therapy was 10 months. Symptomatic progression occurred in 29% of patients and was associated with significantly inferior subsequent OS (13 vs. 34 months) compared with those experiencing asymptomatic biochemical progression. The TTNT progressively shortened with subsequent lines of therapy (3rd line: 6 months; 4th line: 4 months; 5th line: 3 months). Notable exceptions included pPCL patients with t (11;14) treated with anti‐BCL‐2‐based regimens, who achieved a median TTNT of 13 months. Additionally, 24 patients received anti‐BCMA CAR T‐cell therapy. With a median follow‐up of 21 months, their median TTNT was 32 months. pPCL is characterized by frequent disease progression and diminishing response duration with successive therapeutic lines. Symptomatic progression portends particularly poor outcomes. Anti‐BCL‐2‐based therapy in t (11;14) disease and anti‐BCMA CAR T‐cell therapy appear to provide more durable disease control and represent important advances for the management of progressed pPCL.
Association between clonal plasma cell S-phase after autologous stem cell transplantation and survival outcomes in multiple myeloma.
e19564 Background: Risk stratification in multiple myeloma (MM) relies on baseline staging systems and cytogenetic abnormalities, yet early relapse occurs in a subset of patients despite favorable risk features. Prior studies showed that clonal plasma cell S-phase assessed by flow cytometry using the plasma cell proliferation (PCPRO) assay at diagnosis and at autologous stem cell transplantation (ASCT) identifies biologically high-risk disease. The prognostic significance of clonal plasma cell S-phase following ASCT has not been well defined. Methods: We retrospectively analyzed MM patients who underwent ASCT within one year of diagnosis between January 1, 2013, and August 31, 2024. Patients without available post-ASCT clonal plasma cell S-phase assessment were excluded, yielding 150 evaluable patients. The proportion of clonal plasma cells in S-phase was determined by DNA content between G0/G1 and G2/M peaks and reported as a percentage. S-phase was assessed at the first post-ASCT marrow evaluation at day +60 (D45–75) and/or day +100 (D76–130), using the earlier assessment when both were available. Patients were classified as low (<2%) or high (≥2%) post-ASCT S-phase. Landmark progression-free survival (PFS) analyses were performed from the post-transplant assessment. Multivariable Cox models adjusted for cytogenetic risk, maintenance therapy, disease response at transplantation, International Staging System (ISS), and age. Results: Among 150 evaluable patients, 36 (24%) had high post-ASCT S-phase (≥2%) and 114 (76%) had low post-ASCT S-phase (<2%). Median age at ASCT was higher in the high S-phase group (64.5 vs 61.0 years; p=0.063), and advanced ISS stage (II/III) was more frequent (78% vs 57%; p=0.02). Cytogenetic risk, induction regimen, depth of response at transplantation, and maintenance therapy were similar between groups. Patients with high post-ASCT S-phase had significantly inferior PFS compared with those with low S-phase (median 17.0 vs 39.7 months; p=0.0003). On multivariable analysis, post-ASCT S-phase ≥2% remained independently associated with inferior PFS (HR 1.76, 95% CI 1.00–3.09; p=0.049). In an exploratory analysis among patients with paired S-phase assessments at the time of ASCT and post-ASCT, dynamic S-phase trajectories further stratified outcomes. Median PFS was longest in patients with persistently low S-phase (low→low; 39.7 months), intermediate in those converting from high to low S-phase (high→low; 27.2 months), and shortest in patients with newly emergent or persistently high post-ASCT S-phase (low→high: 15.0 months; high→high: 11.0 months) p=0.0019. Conclusions: Elevated proliferative activity of residual clonal plasma cells following ASCT identifies a biologically high-risk subset of MM patients with early relapse. Dynamic changes in post-ASCT S-phase further refine post-transplant risk stratification.
Real-world outcomes and subsequent treatment utilization following anti-B-cell maturation antigen antibody-drug conjugate exposure in patients with multiple myeloma.
e19503 Background: The anti-B-cell maturation antigen (BCMA) antibody-drug conjugate (ADC) belantamab mafodotin is approved in the USA and EU for relapsed/refractory multiple myeloma (RRMM). Understanding treatment options and patient outcomes following ADC failure is clinically important. This study describes post-ADC treatment patterns and clinical outcomes in real-world patients with RRMM. Methods: Adult patients with MM who received an ADC and initiated ≥1 subsequent line of therapy (LOT) were included. The index date was the start of the first post-ADC LOT. Data were obtained from chart reviews at International Myeloma Foundation International Myeloma Working Group (IMF IMWG) academic sites, and US electronic health records from largely community sites (COTA and Guardian Research Network [GRN]). Patient characteristics and index regimens were summarized descriptively. Time to next treatment (TTNT) and overall survival (OS) were estimated with the Kaplan-Meier estimator. Results: The IMF IMWG cohort (n=40) had a mean age of 70.8 years, median of 7 prior LOTs and 82.5% were triple-class refractory (TCR). Overall, 85% received ADC monotherapy (70% belantamab mafodotin) and 15% combination therapy. Pre-ADC and not considering corticosteroids, patients were commonly exposed to lenalidomide (R; 100%), bortezomib (V; 92.5%), daratumumab (D) and pomalidomide (P; 90% each). Over a median follow-up of 26 months after index date, 29 unique index post-ADC regimens were reported, frequently selinexor (27.5%) and bispecific antibodies (15%). CAR T-cell therapy was administered to 5%, with 60% re-treated with a pre-ADC drug class (PI/IMiD/anti-CD38) after ADC. Median (95% CI) TTNT and OS were 10.8 (7.0–20.6) and 19.0 (13.4–25.1) months, respectively. The COTA-GRN cohort (n=39) had a mean age of 67.5 years, median of 8 prior LOTs, and 51.3% were TCR. Overall, 56% received ADC monotherapy (belantamab mafodotin) and 44% combination therapy. Pre-ADC and not considering corticosteroids, patients were commonly exposed to D and R (97.4% each), and carfilzomib, V and P (94.9% each). Over a median follow-up of 9.2 months, 32 unique index post-ADC regimens were reported, frequently selinexor (23.1%) and venetoclax (17.9%) based; 0% received CAR Ts and 54% were re-treated with a pre-ADC drug class (PI/IMiD/anti-CD38) after ADC. Median (95% CI) TTNT and OS were 4.9 (2.8–non-estimable [NE]) and 12.0 (4.9–NE) months, respectively. Conclusions: Findings highlight that most patients with heavily pretreated BCMA-ADC exposed MM were re-treated with similar classes. Academic centers used novel therapies (ie, CAR T, bispecific antibodies) more often and their patients had longer survival than those treated at community sites. However, clinical outcomes remained sub-optimal, emphasizing the unmet need for effective, accessible post-ADC treatments.
Age and frailty analyses of transplant-ineligible (TIE) patients (pts) with newly diagnosed multiple myeloma (NDMM) in the phase 3 MAIA and CEPHEUS trials of daratumumab + lenalidomide-dexamethasone (Rd) and bortezomib-Rd (VRd).
7569 Background: MAIA and CEPHEUS trials demonstrated that daratumumab (Dara) with standard of care (SOC) VRd or Rd significantly improved clinical outcomes versus SOC in TIE NDMM. Here we describe efficacy and safety in TIE pts from both trials by age and baseline (BL) frailty using the latest data cuts. Methods: Pts were randomized 1:1 to DRd (n=368) or Rd (n=369) in MAIA and 1:1 to DVRd (n=144) or VRd (n=145) in CEPHEUS. Progression-free survival (PFS), complete response or better (≥CR), overall MRD negativity (neg) at 10 -5 with ≥CR, sustained MRD neg with ≥CR (confirmed MRD neg ≥12 ± 1 months [mo] apart without MRD positivity in between), and safety were assessed by age (<70, 70–<75, or ≥75 years [y]) and BL frailty (assessed by IFM simplified frailty score: 0–1, non-frail; ≥2, frail). Results: Median follow-up was 64.5 mo in MAIA and 76.0 mo in CEPHEUS. In MAIA, 155 (21%) pts were <70 y, 261 (35%) 70–<75 y, and 321 (44%) ≥75 y; 341 (46%) pts were frail, 88.0 % of whom were ≥70 y. In CEPHEUS TIE pts, 70 (24%) pts were <70 y, 133 (46%) 70–<75 y, and 86 (30%) ≥75 y; 83 (29%) pts were frail, 86% of whom were ≥70 y. DRd or DVRd improved PFS, MRD neg rates, sustained MRD neg rates, and ≥CR rates vs Rd or VRd arms across age and frailty subgroups in both trials (Table). Safety was consistent with established individual drug profiles, and adverse event rates were generally comparable across treatment arms and subgroups within both trials. Additional data on patient-specific factors relevant to these subgroups will be presented. Conclusions: Dara-based regimens improved efficacy outcomes across subgroups in MAIA and CEPHEUS trials, reinforcing Dara-based regimens as SOC in TIE NDMM regardless of age or frailty. These data offer clinically relevant insights to help guide treatment selection for TIE pts. Clinical trial information: NCT03652064 ; NCT02252172 . PFS, hazard ratio (95% CI) ≥CR rate, % MRD neg with ≥CR (10 -5 ) rate, % Sustained MRD neg with ≥CR (10 -5 ) rate, % Age/ Frailty status MAIA* CEPHEUS** MAIA* CEPHEUS ** MAIA* CEPHEUS** MAIA* CEPHEUS ** <70 y 0.35 (0.21–0.56) 0.60 (0.31–1.18) 56.4 vs 31.2 85.7 vs 68.6 35.9 vs 11.7 74.3 vs 42.9 25.6 vs 3.9 62.9 vs 28.6 70–<75 y 0.64 (0.45–0.89) 0.60 (0.37–0.99) 56.2 vs 31.3 77.9 vs 69.2 36.2 vs 12.2 55.9 vs 47.7 20.8 vs 5.3 45.6 vs 38.5 ≥75 y 0.59 (0.44–0.79) 0.46 (0.22–0.94) 44.4 vs 28.6 80.5 vs 44.4 26.9 vs 9.9 58.5 vs 26.7 13.8 vs 3.1 43.9 vs 15.6 Frail 0.64 (0.48–0.85) 0.62 (0.32–1.18) 44.8 vs 33.1 72.9 vs 54.3 25.6 vs 13.0 56.3 vs 34.3 15.7 vs 4.1 39.6 vs 17.1 Non-frail 0.48 (0.36–0.64) 0.51 (0.34–0.78) 56.6 vs 27.5 84.4 vs 63.6 37.8 vs 9.5 63.5 vs 41.8 21.4 vs 4.0 54.2 vs 32.7 *MAIA: DRd vs Rd; **CEPHEUS: DVRd vs VRd.
Impact of prophylactic cyclophosphamide on ALC and delayed neurotoxicity after cilta-cel.
7543 Background: Delayed neurotoxicity (DNT) after ciltacabtagene autoleucel (cilta-cel) is associated with severe morbidity and mortality occurring in 10-15% of patients. A high post-infusion peak absolute lymphocyte count (ALCpeak ≥3x10 9 /L; ALC hi ) is correlated with an increased risk of DNT (25-30%). We previously examined prophylactic dexamethasone (PPX DEX) administered for 3 days when ALC hi was reached and found no reduction in ALC expansion, DNT incidence or severity. Here, we report the use of prophylactic cyclophosphamide (PPX CTX) on ALC kinetics and DNT. Methods: We conducted a retrospective analysis of patients (pts) treated with cilta-cel at Mayo Clinic (09-12/2025; n =60). Pts with ALC hi received CTX 500 mg IV/PO once (n = 22). Outcomes and ALC kinetics including ALCpeak, ALC D28 (ALC D28 ), and area under the curve D1-D28 (ALC AUC ) were compared with PPX DEX cohort (12/2024-08/2025; n =50) and a historical cohort without PPX (04/2022-11/2024; n =116). Results: Pre-lymphodepletion (LD) demographics were similar across historical ALC hi , PPX DEX, and PPX CTX groups. Pre-LD CRP was higher in the historical ALC hi cohort; however, baseline ferritin, CRS, and ICANS, and disease burden did not differ significantly between groups. There were no statistically significant differences in time to ALCpeak or ALC kinetics among the 3 cohorts. Among pts with ALC < 3×10⁹/L treated during the PPX CTX study period, 2 developed cranial nerve palsy (IEC-CNP; 2/38, 5%). Both presented with unilateral facial nerve palsy and were treated with corticosteroids. One pt resolved symptoms by one month, while the second had persistent symptoms at 2 weeks and remains on follow-up. Among ALC hi patients in the PPX CTX cohort, DNT occurred in 4/22 pts (18%), including 1 case of IEC-CNP (5%) and 3 with parkinsonism (IEC-PKS, 14%). Within the PPX CTX cohort, baseline characteristics and post-infusion CRS or laboratory parameters did not differ between patients with and without DNT. Among patients who developed DNT, ALC kinetics were similar across PPX CTX, PPX DEX, and historical cohorts. PPX CTX was well tolerated, with 2 cases of grade 1 nausea reported. The incidence of DNT did not differ significantly between the PPX DEX (14/61, 23%) and PPX CTX (4/22, 18%) cohorts. However, DNT presentations in the PPX CTX cohort appeared milder and were responsive to treatment. Two of three patients (67%) presented with mild symptoms (one with dynamic dysphasia; second with flat affect) that responded to DEX. A third patient presented with typical parkinsonian features (hypomimia, bradykinesia, rigidity) and demonstrated clinical improvement following high-dose CTX. Conclusions: PPX CTX was well tolerated. While it did not significantly impact ALC expansion kinetics or DNT rates, first few cases of IEC-PKS suggest that the presentation may be milder and amenable to less toxic treatment. Larger cohorts are needed to refine optimal prophylactic strategies.