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Objective: To compare the prevalence and patterns of transverse sinus stenosis (TSS) in patients with lateral skull base spontaneous cerebrospinal fluid (sCSF) leaks and idiopathic intracranial hypertension (IIH), to clarify its role in leak pathogenesis and implications for venous-directed therapies. Study design: Retrospective case-control study. Setting: Single tertiary care institution. Patients: Adults with lateral skull base sCSF leaks confirmed by clinical, laboratory, or surgical findings, and adults with IIH without cranial CSF leaks meeting Modified Dandy criteria. Intervention: Independent magnetic resonance venography evaluation by 2 fellowship-trained neuroradiologists. Main outcome measures: Presence, laterality, and severity of TSS. Results: Eighteen patients with sCSF leaks and 78 patients with IIH were included. The rate of individual TSS, including both unilateral and bilateral cases, was higher in the IIH cohort than in the sCSF leak cohort (bilateral TSS: n=66, 84.6% vs. n=6, 33.3%; P <0.001). Severe bilateral TSS was observed more in the IIH cohort (n=40, 51.3%) compared with the sCSF leak cohort (n=1, 5.6%; P <0.001). Conclusions: Though patients with lateral skull base sCSF leaks have TSS, the significantly lower rate compared with patients with IIH suggests that TSS may play a lesser role in the pathogenesis of lateral skull base defects. These findings indicate that the role of transverse sinus stenting in lateral skull base sCSF leaks remains uncertain and highlight the need to further investigate local remodeling processes when considering the role of venous sinus stenting in this population.

Abstract Background The Joint Propagation Model (JPM)‐based CenTauR scale was recently introduced to harmonize tau‐PET quantification across different radiotracers. This study examined how CenTauR harmonization enhances the comparability of tau‐PET quantification across matched cohorts using different tracers. The evaluation focused on three key aspects: (1) comparing tau‐PET positivity rates as defined by CenTauR, (2) evaluating its diagnostic accuracy for symptomatic AD, and (3) analyzing longitudinal changes in tau‐PET rates over time. Method The JPM, developed by the CPAD‐led Tau PET Harmonization Working Group (Leuzy et al., Alzheimers Dement. 2024; Figure 1A), models relationships between anchor point subjects and head‐to‐head tau‐PET SUVR data onto the CenTauR scale, providing conversion equations for multiple tracers. JPM equations were applied to [¹⁸F]flortaucipir SUVR (Meta‐temporal ROI) data from 561 cognitively impaired participants in the ADNI and OASIS‐3 studies. Using ROC analysis, we determined the CenTauR cut‐off for positivity (T+) that maximized the Youden index for discriminating between FDA‐approved positive/negative visual reads. Three separate cohorts, scanned using [¹⁸F]flortaucipir (ADNI), [¹⁸F]MK‐6240 (CPAS), and [¹⁸F]RO‐948 (BioFINDER‐2), were matched 1:1 by age, MMSE, amyloid‐β, and clinical diagnosis. CenTauR‐based metrics were compared across these cohorts. Result A cut‐off of 18 CenTauRs was found to optimally classify [ 18 F]flortaucipir PET visual reads (Figure 1B). The matching procedure identified 1089 participants (363 per cohort). The frequency of T+ using the 18 CenTauRs cut‐off for the Meta‐Temporal ROI was highly comparable across tracers across groups, except for the Aβ‐positive cognitively unimpaired group, where variability was more pronounced due to a smaller sample size (Figure 2A). Similarly, tau‐PET discriminative accuracy for symptomatic AD vs controls remained similar across [ 18 F]flortaucipir and [ 18 F]MK‐6240 (Figure 2B). In a separate sample of 212 matched participants from ADNI ([¹⁸F]flortaucipir) and AIBL ([¹⁸F]MK‐6240) with baseline and 1‐year follow‐up tau‐PET scans, 1‐year change in CenTauRs was comparable (Figure 2C). An exploratory voxelwise transformation, utilizing the Meta‐Temporal conversion equation in a representative case scanned with both [¹⁸F]flortaucipir and [¹⁸F]MK‐6240, demonstrates the potential for voxelwise CenTauR harmonization (Figure 3). Conclusion These analyses suggest that CenTauR harmonization increases the comparability of tau‐PET data acquired with different tracers. Additional validation analyses with larger cohorts including other radiotracers ([¹⁸F]PI‐2620) are underway.

Abstract Background: The phase II and III GRIFFIN and PERSEUS studies evaluated DVRd vs. VRd in NDMM pts that were transplant eligible (TE). These studies included consolidation (cons) and dual agent maintenance (maint) with dara and len (DR). Little is known about the efficacy of DVRd in RW practice including frequency of bor use, use of cons, use of DR maint, and subsequent treatment after progression (PD) on DVRd. We aim to evaluate the RW efficacy of NDMM pts treated with DVRd across the tri-site Mayo Clinic Comprehensive Cancer (MCCC). Methods: We retrospectively analyzed the medical records of pts treated with DVRd between June 2018 and June 2024 at the MCCC. Outcomes were estimated using the Kaplan-Meier method. Results: 464 pts were included; 278 pts were male, and the median (m) age of MM diagnosis was 64 years (yr). 114 pts had ISS III, 205 pts had R-ISS III, 266 pts had high risk (HR) FISH, 80 pts had extramedullary disease, 165 pts had ultra HR disease (dz) (as per 2025 IMS/IMWG consensus), and 47 pts had renal insufficiency (RI) with creatinine &gt;2 mg/dL. Starting len dose was 25mg in 356 pts, 15 mg in 40 pts and ≤10mg in 65 pts. 399 pts received bor 1x per week and 63 2x per week, 91 pts received 1-2 cycles of a different regimen prior to DVRd due to hospitalization (n=23), RI (n=38), poor performance status (n=6), other (n=34). 315 (67.9%) pts underwent autologous transplant (ASCT). The m number of induction cycles was 5; 4 for pts who underwent ASCT and 6 for pts who did not. The best ORR to induction for pts who underwent ASCT was 98% with 247 (79%) achieving ≥VGPR, and 82 (26%) achieving minimal residual disease negativity (MRD-) to at least 10-5. The best ORR for pts who did not undergo ASCT was 87%. For those who underwent ASCT, (96% with melphalan 200mg/m2), the ORR at day 100 was 97% with 56% achieving MRD-. At 1-yr post ASCT, 30% (93/312) were MRD-. 42 pts (13%) received post ASCT cons with DVRd for a m of 2 cycles. 281 pts received post ASCT maint including 107 (38%) len, 53 (19%) bor-len, 91 (32%) dara-len, 14 (5%) dara, 16 (6%) other. 61(13%) pts had change in treatment, due to change to second line therapy (35; 55%), discontinuation (d/c) of len (11; 17%), d/c of dara (3; 5%), d/c of bor (15; 23%), d/c of dex (0; 0%). The m follow-up time for all pts was 26 months (mo) (17-39). The m PFS of pts who underwent ASCT was not reached (NR), and was 57 mo (52-NA) for pts who did not undergo ASCT. For pts who underwent ASCT, the PFS at 24mo for pts who did not have HR FISH was 93% (88-99%) compared to 80% (73-88%) for pts with HR FISH (p=0.12) and 77% (68-87%) for pts with ultra-HR dz (p=0.013).The PFS at 24mo of pts with RI who underwent ASCT was 81% (66-98%) compared to 86% (82-92%) for those without RI, p=0.57. The PFS at 24mo of pts with RI who did not undergo ASCT was 53% (28-100%) compared to 64% (55-75%) for those without RI, p=0.42. The ORR and MRD- rate for pts who received once-weekly bor was 94% and 24%, compared to 94% and 27% for pts who received 2x weekly bor (p=0.85, p=0.93). For pts who underwent ASCT, the PFS at 24mo for pts who received len maint was 91% vs. 83% for pts who receive dual agent maint (DR or VR) (p=0.25), although pts who got dual agent maint were more likely to have HR FISH than pts who received len maint (p&lt;0.001). The PFS at 24mo for pts that received post-ASCT cons was 91% compared to 85% for those that did not (p=0.53); pts who got post-ASCT cons were more likely to have HR FISH (p=0.07). For pts that underwent ASCT, the 3 yr PFS rate is 85% and the 3 yrs OS rate is 96%. For pts that did not undergo ASCT the 3 yrs PFS rate is 60% and the 3 yr OS rate is 85%. 55 pts had functional HR (FHR) MM (relapse within 18 mo) and m PFS for FHR pts who underwent ASCT was 15 mo (11-NA), while m PFS was NR for pts without FHR MM (p&lt;0.001). 79 pts relapsed after 1st line DVRd. The most common 2nd line therapies (tx) were dara-carfilzomib (K)-D, dara-pomalidomide(P)-D, KPD, and other. The m follow-up time from 2nd line tx was 10 mo, the best ORR to 2nd line tx was 76%, and the m PFS with 2nd line tx was 18 mo (7-NA). Conclusion: In this RW analysis, the efficacy and survival outcomes of NDMM pts treated with DVRd was comparable to that reported in the PERSEUS and GRIFFIN trials, although MRD- rates appear lower. DR maint and post-ASCT cons use was not common and was used more frequently in pts with HR FISH. Pts can be effectively salvaged following PD on front-line DVRd with available tx.

Abstract Introduction: Multiple myeloma (MM) predominantly affects older adults who vary widely in physiological status and treatment outcomes. Comprehensive Geriatric Assessment (CGA) is considered the gold standard for frailty assessment in older cancer patients (pts), but clinical useis limited. Current frailty tools for MM include only select GCA domains, rely on trial datasets, and do not incorporate pt-reported outcomes (PROs). Since their development, treatment strategies have evolved with the use of anti-CD38 MAbs and quadruplets in older pts. The impact of geriatric impairments on treatment tolerance in the era of modern therapy remains unclear and changes in geriatric domains during treatment are not well characterized. Aim: This prospective study evaluates the association between pt-reported CGA and treatment outcomes in older MM pts.Methods: We included MM pts ≥60 years initiating a new treatment at Mayo Clinic from March 2023-June 2024. Pts completed the CARG GCA (Hurria et al 2005) electronically prior to and after 4 treatment cycles. We collected data on toxicity using CTCAE and PRO-CTCAE and quality of life using the PROMIS10-GH SF.Results: Ninety pts were enrolled. Median age was 72 (range: 63-86), 42% female, and &gt;90% non-Hispanic white. Over half (59%) were newly diagnosed with 41% and 56% receiving quadruplets and triplets, respectively. Among newly diagnosed pts, 34% had early stem cell transplant. Baseline median self- and physician- reported KPS were 80% and 90%, respectively, with high correlation (r=0.657). The median number of meds per pt was 9 (range:0-30), 39% had ≥3 comorbidities, 21% reported ≥1 fall in the past 6 months, and 40% reported ≥1 IADL limitation. On the Hospital Anxiety and Depression Scale, 3% and 7% had anxiety and depression, respectively. On the Blessed Orientation-Memory-Concentration test, 19% had mild cognitive impairment, and 1% had severe cognitive impairment. While only 19% had grade (G) ≥3 non-hematologic toxicity by CTCAE, 71% had ≥1 treatment delay, dose reduction, or discontinuation, and 39% had ≥1 ED visit or unplanned hospitalization within the first 4 cycles. This suggests physician grading of non-hem toxicities may inadequately capture toxicity burden from MM therapy. Notably, the rate of G≥3 toxicity by PRO-CTCAE was 49%, highlighting the discrepancy between physician- and pt-reported symptom burden. CGA domains significantly associated with G≥3 non-hem toxicity were: age (74 v 71.5, p=0.032), ≥3 comorbidities (65% v 33%, p=0.015), anxiety (18% v 0%, p=0.006), ≥1 IADL limitation (65% v 33%, p=0.018), physician KPS ≤80 (53% v 27%, p=0.042), limitations in vigorous activities (100% v 78%, p=0.023) and limitations in climbing several flights of stairs (88% v 56%, p&lt;0.001). Predictors of PRO-CTCAE G≥3 toxicity were ≥1 falls (30% v 11%, p=0.030), ≥3 comorbidities (52% v 26%, p=0.011), polypharmacy (≥9 meds) (67% v 43%, p=0.023), and physician KPS ≤80 (43% v 22%, p=0.030). CGA domains associated with ≥1 treatment adjustments were polypharmacy (62% v 33%, p=0.017) and unintentional weight loss (35% v 12%, p=0.028). Polypharmacy was the only domain associated with healthcare utilization (68% v 45%, p = 0.040), which may reflect underlying multimorbidity and greater pain burden. On multivariable logistic regression, any level of limitation in climbing several flights of stairs (OR: 6.0, 95% CI 1.2-30.3; p= 0.030) and older age (OR: 1.1, 95% CI 1.0-1.1; p=0.032) were independently associated with G≥3 non-hem toxicity, reflecting impaired functional status and reduced physiologic reserve, while ≥3 comorbidities only trended toward significance (OR:1.9, 95% CI 1.1-3.9, p=0.051).Compared to baseline, there were no significant changes in CGA domains or PROMIS10 scores after 4 cycles. While there was no significant difference in the proportion of pts reporting limitations in IADLs or physical function, we observed heterogeneity among individual pts, with changes in all 3 directions (improvement, stability, and decline). Conclusions: Geriatric impairments are prevalent in older pts with MM; pt-reported impairments are significantly associated with G≥3 non-hem toxicities, need for treatment modifications, and increased healthcare utilization, even in the era of novel therapies. Physical functional trajectories during treatment are variable among individual pts, underscoring the need for personalized treatment strategies and reassessment of geriatric domains throughout treatment.

Abstract Background: Waldenström Macroglobulinemia (WM) is an indolent B-cell lymphoplasmacytic lymphoma characterized by heterogeneous clinical behavior and variable progression patterns. While MYD88L265Pand CXCR4 mutations are frequently encountered, the broader genomic landscape underpinning disease evolution from smoldering WM (SWM) to active treatment naïve WM (TNWM), post-treatment remission WM (PTWM) and relapsed/refractory WM (RRWM) remains incompletely understood. To address this gap, we studied the mutational profile across the WM disease spectrum. Methods We performed whole exome sequencing (WES) on sorted (CD19 and/or CD138) bone marrow aspirates of patients across the spectrum of WM. Paired germline sequencing was performed using peripheral blood mononuclear cells (PBMCs). Unique molecular identifier-tagged reads were deduplicated using fgbio. WES data were processed through the Sarek pipeline. Any valid mutation from either caller, present on the index or in COSMIC was considered. Copy number variations (CNVs) were inferred via CNVkit and summarized at the gene and arm level (≥50% directional change). Mean tumor and germline coverages were 174X and 74X, respectively. Fisher's exact test was used for enrichment and hypergeometric test for overlap analyses. Results A total of 78 high-quality WM samples [15 SWM, 44 TNWM, 13 RRWM, 6 PTWM in remission (all with paired TNWM samples)] were sequenced. The mutational burden varied across disease states (median SWM=1.48 m/Mb, TNWM= 1.12 m/Mb, RRWM = 1.59 m/Mb; p=0.04). Density plots revealed bimodal VAF distributions, consistent with clonal and subclonal architectures in WM. Overall, 77% harbored a MYD88L265P mutation by WES. Among MYD88^WT^ patients, AS-PCR identified MYD88L265P in 4 (25%) not detected by WES, raising the overall mutation rate to 83%, plus one with a non-L265P variant. Low VAF (&lt;10%) MYD88L265P mutations were seen in 6% of matched PBMCs. MYD88 copy number gain was seen in 2 (17%) MYD88WT TNWM patients. CXCR4 mutations were detected in 38% by WES (18% each frameshift and nonsense). Two (4%) CXCR4WT samples were positive by PCR, giving an overall rate of 40%. CXCR4 mutations were more frequent in RRWM (54%) vs TNWM (41%) and SWM (27%), though not statistically significant. Del(6q) and Del(17p) were noted in 16% (n=12) and 7% (n=5) of patient samples. All del(17p) events were noted in TNWM samples and in one paired post-treatment sample. Overall rate of del(17p) and TP53 mutation was 14% (n=11). RRWM was enriched in ARID1A alterations, a gene implicated in chromatin remodeling and plasma cell identity formation [38% (n=5) in RRWM vs. 11% (n=6) in TNWM and SWM], compared to TNWM and SWM p=0.03]. Alterations in NF-kB signaling gene MAP3K14 were more frequent in RRWM (31%, n=4) compared to the SWM/TNWM cohort [(7%), n=4; p=0.036). We noted an enrichment in the TP53 mutation rate in RRMW [n=3, 23%, OR 7.7] compared to TNWM and SWM cohorts [n=2, 4%), p=0.04]. Mutations in FUBP1 (p=0.03), an upstream regulator of MYC, and CARD11 (p=.043), a B-cell signaling scaffold protein were also more frequent in RRWM. Notably, none of the SWM patients harbored an ARID1A alteration (p=0.057), suggesting acquisition during progression. CNV analysis revealed that MAP3K14 amplifications were frequent in RRWM (n=3, 23%) compared to SWM/TNWM [n=2 (4%), p=0.043]. RRWM samples showed increased CD79B mutations (15%) and significant overlap with the C5/ABC diffuse large B-cell lymphoma (DLBCL) genomic cluster (Chapuy et al., Nat. Med. 2018; p=0.007). This overlap remained significant after excluding MYD88L265P (p=0.019), driven by CARD11, CD79B, and IGLL5, suggesting that a subset of RRWM may acquire an ABC DLBCL-like mutational profile. These findings warrant further investigation using transcriptional profiling. Conclusions This study provides a genomic map of WM evolution from precursor to relapse. Increasing somatic mutations and CNVs support stepwise progression. Enrichment of genes involved in chromatin remodeling and plasma cell identity formation (ARID1A), NF-kB or BCR signaling (CARD11, MAP3K14), and DNA damage repair (TP53) were noted at relapse, all of which have been shown to drive aggressive disease biology. Emergence of an ABC-like genotype in a proportion of RRWM indicates convergent evolution with aggressive lymphomas. Transcriptional studies are warranted to explore this further.

Abstract Background The advent of T-cell redirecting bispecific antibodies (BsAb) therapies has led to deeper and durable responses in patients with RRMM. We sought to identify adverse prognostic factors for patients treated with BsAbs. We also explored whether the extent of the non-involved free light chain (niFLC) suppression could serve as a potential marker of T-cell engager activity, given the binding of BsAbs to both clonal and non-clonal plasma cells and the short half-life of serum FLCs. Methods We conducted a retrospective analysis of RRMM patients treated with BsAbs between 2022 and 2025 at Mayo Clinic. Baseline lymphocyte counts and ferritin levels were collected and analyzed both as continuous and dichotomized variables. niFLC was considered undetectable if it was below the quantification limit, while the magnitude of niFLC suppression was defined as the absolute difference between niFLC levels and the lower normal range threshold at the time of best response. In addition to standard statistical methods, interaction models were used to explore the potential effect modification of niFLC dynamics. Results A total of 158 patients were included (teclistamab, 73%; talquetamab, 15%; elranatamab, 12%). The median follow-up is 12 months (range 0 to 28 months). Median age is 71(range 65 to 77); 52% (n=85) were triple-class refractory (refractory to an IMiD, a PI, and CD38-antibody) and 37% (n=60) were penta-refractory. CAR-T therapy was previously administered in 28% (n = 46) patients, and 70% had undergone an autologous stem cell transplant. One or more high risk cytogenetic features including del(17p), gain(1q), amp(1q), del(1p), t(4;14), and t(14;16) were present in 57% (n = 90) of patients. Extramedullary disease was noted at the time of BsAb therapy in 44% of patients. Utilizing IMWG response criteria, 68% (n=107) achieved ≥partial response, and 64% (n=101) had ≥ very good partial response (VGPR) as best response following BsAb treatment. The median time to best response was 1.6 months (range 0.7 to 4.4). On multivariable analyses, baseline immunoparesis (HR 1.96; 95% CI, 1.08–3.58; p = 0.0274) and elevated ferritin levels (≥ 337 ng/mL) (HR 1.96; 95% CI, 1.24–3.09; p = 0.0041) were independent predictors of inferior progression-free survival (PFS). Lower baseline absolute lymphocyte count, analyzed as a continuous variable, was significantly associated with shorter PFS in the univariable analysis (HR 0.66; 95% CI, 0.44–0.98; p = 0.04), but not in the multivariable model (HR 0.75; 95% CI, 0.5–1.13; p = 0.166). Detectable niFLC at the time of best response was also significantly associated with inferior PFS (HR 1.80; 95% CI, 1.14–2.84; p = 0.0114). However, the magnitude of niFLC suppression did not show a statistically significant impact on PFS. The median PFS was 5 months in patients with high ferritin levels (≥ 337 ng/mL) and 21 months in those with lower ferritin (p = &lt; 0.005). Similarly, PFS was 8 months in those with immunoparesis and not reached in those without baseline immunoparesis (p = 0.008). At the time of best response, detectable niFLC was associated with a trend toward shorter PFS (5 vs. 13 months), although the difference was not significant (p = 0.06). Logistic regression analysis supported these findings, with higher ferritin levels (OR 2.28; 95% CI: 1.09–4.96; p = 0.032) and the presence of baseline immunoparesis (OR 2.60; 95% CI: 1.18–6; p = 0.02) being significantly associated with higher likelihood of progression or death. Patients with deep reduction in niFLC achieved a VGPR or better. In contrast, those with detectable or higher-than-normal niFLC levels did worse in terms of response. Notably, niFLC became undetectable in 72% of patients with ≥VGPR (73/101), compared to 52% of those who did not achieve this level of response (30/57). Conclusion Among RRMM patients treated with BsAbs, baseline immunoparesis and elevated ferritin levels emerged as independent predictors of worse PFS. While failure to induce a deep reduction in niFLC at the time of best response suggests a tumor extrinsic mechanism of resistance, and it is also linked to inferior outcomes.

Abstract Background The prognostic relevance of fluorescence in-situ hybridization (FISH) abnormalities is well-established in multiple myeloma (MM), where high-risk (HR) abnormalities are associated with poor survival. In AL amyloidosis, however, the cytogenetic landscape and its implications might be different. For example, t(11;14), common in AL amyloidosis, has historically been linked to inferior outcomes in the pre-daratumumab era. HR FISH abnormalities are less common and less well-defined in this setting, underscoring the need to evaluate their significance in this disease. Methods We retrospectively analyzed 698 newly diagnosed AL amyloidosis patients seen at Mayo Clinic, Rochester, between 2012–2021 who had baseline FISH testing. HR FISH was defined as del(17p)/monosomy 17, t(4;14), t(14;16) or t(14;20). Baseline characteristics and treatment patterns were compared between the HR and the standard-risk (SR) groups. Staging used the Mayo 2004 system with European modification. Hematologic responses were assessed at 2 and 6 months, and cardiac/renal responses at 3, 6, 12, and 24 months per consensus criteria. Overall response rate (ORR) for hematologic and organ responses included patients who achieved partial response (PR), very good partial response (VGPR), and complete response (CR). Overall survival (OS) was estimated via Kaplan-Meier; comparisons used log-rank testing. Cox regression was used for univariate and multivariable analyses. Results Among 698 patients, 73 (10.4%) had HR FISH. The most common HR abnormality was t(14;16) (n=34, 4.9%), followed by del(17p)/monosomy 17 (n=21, 3%), and t(4;14)/t(14;20) (n=12 each, 1.7%). Across the cohort, t(11;14) was most frequent (51.3%), followed by del(13q) (36.2%), hyperdiploidy/tetraploidy (26.3%), and 1q gain/amp (23.6%). Compared to SR group, HR FISH group had fewer males (43% vs. 69%, p&lt;0.0001), with no difference in age (62.5 vs. 65, p=0.44), cardiac (73% each, p=1) or renal involvement (52% vs. 54%, p=0.71). More HR patients had early cardiac stage (69% vs. 55.9%, p=0.04). Both groups were predominantly lambda isotype (82% vs. 74%, p=0.15), with similar baseline dFLC (21.6 vs. 28.4 mg/dL; p=0.81). Intact immunoglobulin secretion was more common in the HR group (68% vs. 45%, p=0.004). The HR group more often underwent advanced bone imaging (44% vs. 29%, p = 0.015) and had a higher incidence of lytic lesions or fractures (27% vs. 15%, p = 0.046). Use of bortezomib-based therapy, primarily CyBorD, was similar between the groups (67% each). Daratumumab-based therapy (16% vs. 11%, p=0.25) and autologous stem cell transplantation (ASCT) (33% vs. 25%, p=0.16) were numerically higher in the HR group, though not statistically significant. Post-ASCT maintenance was more frequent in the HR group (17% vs. 7%, p=0.006). At 2 months, hematologic ORR was higher in the HR group (90% vs. 72%, p=0.007), with higher ≥VGPR (67% vs. 32%, p&lt;0.0001) and CR rates (24% vs. 8%, p=0.0004). At 6 months, the HR group maintained higher ≥VGPR (89% vs. 71%, p=0.008) and CR rates (41% vs. 26%, p=0.04), with no difference in ORR (98% vs. 92%, p=0.18). Cardiac responses at 6 months favored the HR group (VGPR or better: 29% vs. 12%, p=0.013; CR: 13% vs. 3%, p=0.007). At 12 months, cardiac ≥VGPR remained higher (50% vs. 29%, p=0.01), though CR was not significantly different (18% vs. 9%, p=0.1). Renal ≥VGPR at 6 months was more common in the HR group (47% vs. 22%, p=0.004), but not renal CR (9% vs. 7%, p=0.95). At 12 months, renal ≥VGPR remained higher in HR (61% vs. 40%, p=0.004). With a median follow-up of 87 months, median OS was not reached in HR (95% CI: 72.6–NR) vs. 88.9 months (95% CI: 72.8–110.5) in SR (p=0.03). In multivariable analysis, age ≥65 (HR 1.56, p=0.0001) and &gt;2 organ involvement (HR 1.46, p=0.002) were associated with worse OS, while ASCT (HR 0.35, p&lt;0.0001) and cardiac stage I/II (HR 0.48, p&lt;0.0001) predicted better OS. HR FISH was not independently associated with OS (HR 0.74, p=0.14). Conclusions HR FISH abnormalities in AL amyloidosis are not independently associated with OS, unlike in MM. Patients with HR FISH abnormalities more often presented with earlier cardiac stage and demonstrated deeper hematologic and organ responses than patients with SR FISH abnormalities. This study underscores how clonal characteristics can potentially aid in more personalized treatment approaches for patients.

Abstract Introduction : Current standard of care for smoldering multiple myeloma (SMM), an asymptomatic precursor of multiple myeloma (MM), is observation until progression to active MM. Increasing evidence suggests that patients (pts) with SMM at high risk for progression to active MM may benefit from early treatment (tx). In AQUILA, a phase 3 study in pts with high-risk SMM (NCT03301220), daratumumab (Dara) monotherapy significantly reduced risk of progression to active MM or death with a trend of extending overall survival (OS) vs active monitoring (ActMon), with no new safety concerns. Given the evolution in SMM risk stratification, a post hoc analysis was performed to assess outcomes using the IMWG 2020 and IMWG 2020 plus cytogenetic risk models to assess which AQUILA pts benefited most from Dara monotherapy. Safety and efficacy analysis by age and stem cell collection outcomes were also assessed. Methods: Eligible pts with a confirmed diagnosis (≤5 y) of high-risk SMM per IMWG 2014 criteria, defined as clonal bone marrow plasma cells (BMPC) ≥10% and ≥1 risk factor (IgA SMM, serum protein ≥30 g/dL, serum involved:uninvolved free light chain [I/U FLC] ratio ≥8 and &lt;100, immunoparesis with reduction of 2 uninvolved Ig isotypes, and/or clonal BMPC &gt;50% to &lt;60%) at study entry, were randomized 1:1 to receive subcutaneous Dara or ActMon for 39 cycles, 36 months, or until confirmed disease progression (PD), whichever came first. Primary endpoint was progression-free survival (PFS) assessed by independent review committee, defined as progression to active MM (based on IMWG SLiM-CRAB diagnostic criteria) or death. Secondary endpoints included time to first-line (1L) MM tx and OS. For this post hoc analysis, we assessed outcomes by age, IMWG 2020 high-risk SMM criteria (BMPC &gt;20%, monoclonal spike &gt;2 g/dL, serum FLC ratio &gt;20; ≥2 factors=high risk; also known as the Mayo 2018 or the 20-2-20 criteria), and the IMWG 2020 plus cytogenetic criteria (IMWG 2020 criteria + presence of ≥1 high-risk cytogenetic abnormalities [t(4;14), t(14;16), +1q and/or del13q]; ≥3 factors=high risk). Results : Dara tx showed a PFS benefit across all IMWG 2020 risk subgroups (low: hazard ratio [HR], 0.59; intermediate: HR, 0.70), with the largest benefit in the high-risk subgroup, where the PD/death rate in the ActMon arm was ~1.6-fold that in the Dara arm (62.8% vs 37.5%; HR, 0.36). This benefit of Dara vs ActMon was preserved over time, with 5-year PFS rates of 78.2% vs 71.6%, 56.2% vs 42.9%, and 60.4% vs 23.6% in IMWG 2020 low-, intermediate-, and high-risk groups, respectively. There was a positive trend favoring Dara for time to 1L MM treatment across all IMWG 2020 risk groups (low-risk HR, 0.63; 95% CI, 0.22–1.80; intermediate-risk HR, 0.57; 95% CI, 0.35–0.92; high-risk HR, 0.39; 95% CI, 0.25–0.62). IMWG 2020 plus cytogenetic risk classification results will be available at the time of presentation. When comparing the younger (&lt;65y HR, 0.51; 95% CI, 0.32–0.79) vs the older (≥65y, HR, 0.50; 95% CI, 0.32–0.77) pt population, a PFS benefit was observed regardless of age. Similarity was also observed in TEAE incidence rate when looking into &lt;65, 65 to &lt;75, and ≥75 y subgroups (82.7%, 81.1%, and 87.5% with ActMon; 96.2%, 98.5%, and 95.2% with Dara); however, serious TEAEs were more frequently observed in older ActMon pts (12.2%, 18.9%, and 50.0% with ActMon; 24.8%, 35.8%, and 28.6% with Dara). Across all pts treated/monitored in AQUILA, 23 (11.9%) and 41 (20.9%) pts in the Dara and ActMon arms, respectively, received autologous stem cell transplant as part of their first tx after progressing to active MM, with very limited plerixafor use (Dara, 3 [1.6%] vs ActMon, 9 [4.6%]). Median (range) CD34+ cell yield was 5.0 (2–20)×106 cells/kg body weight among 22 pts in the Dara arm and 5.1 (2–21)×106 cells/kg body weight among 39 pts in the ActMon arm. Conclusions : In this analysis, pts with high-risk SMM from the phase 3 AQUILA study treated with Dara monotherapy experienced long-term PFS benefit across IMWG 2020 subgroups, with the most pronounced benefit in the high-risk subgroup. No notable differences in PFS or safety were observed across age subgroups. Early Dara tx for high-risk SMM did not have a detrimental impact on stem cell yield. Although mature OS analyses are forthcoming, overall, these results further support early intervention with Dara monotherapy vs ActMon among pts with high-risk SMM, regardless of risk stratification criteria used.