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158 citation(s) found for "Zanwar, Saurabh".

Subsequent primary malignancies after CAR-T therapy: A study from the US multiple myeloma immunotherapy consortium
Biran, Noa , Roney, Patrick , Ahn, Jaeil, Tan, Melinda, Sidana, Surbhi , DeJarnette, Shaun, Afrough, Aimaz , Gaballa, Mahmoud , Khouri, Jack , Goel, Utkarsh , Zanwar, Saurabh , Gordillo, Christian , Cassano, Raffaella Cassano , Bhurtel, Jenny , Shune, Leyla , Freeman, Ciara L. , Davis, James A. , Green, Kimberly M , Mikkilineni, Lekha , Hosoya, Hitomi , Sannareddy, Aishwarya , Patel, Krina K. , Sborov, Douglas W. , Cahoon, Christopher, Purvey, Sneha , Ferreri, Christopher, Sidana, Surbhi , Davis, James A , Hosoya, Hitomi , Zolotov, Eli , Rees, Matthew J. , Banerjee, Rahul , Dima, Danai , Pasvolsky, Oren , Raza, Shahzad , Anwer, Faiz , Lin, Yi , Atrash, Shebli , Reshef, Ran , Portuguese, Andrew J. , Kort, Jeries , Geer, Marcus , Xie, Zhuoer , Puglianini, Omar Castañeda , Hansen, Doris K. , Locke, Frederick L. , Nishihori, Taiga , Grajales‐Cruz, Ariel , Herr, Megan M. , Hassan, Hamza , Anderson, Larry D. , Khan, Adeel , Wagner, Charlotte B , Fortuna, Gliceida Galarza

Mayo Clinic

Blood | December 4, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 5852-5852

10.1182/blood-2025-5852 Get It

Abstract Introduction: The CAR-T therapies ide-cel and cilta-cel are approved for patients (pts) with relapsed/refractory multiple myeloma (RRMM). The aim of this study was to determine the incidence, subtypes, and associated risk factors for subsequent primary malignancies (SPMs) in MM pts treated with CAR-T therapy in the real-world setting. Methods: A retrospective, multicenter observational cohort study was conducted of pts who received CAR-T therapy between May 2021 and Dec 2024 at 15 centers within the US Multiple Myeloma Immunotherapy Consortium. Logistic models were used for univariable analyses of invasive SPMs (excluding non-melanoma skin cancers). Variables significant at p < 0.10 were included as candidate variables in the multivariable analysis. Time to event endpoints were analyzed using Kaplan-Meier curves. Results: Of n=1460 CAR-T recipients, median follow-up from the time of CAR-T infusion for the entire cohort, ide-cel, and cilta-cel pts was 13.1, 16.9, and 10 months, respectively. A total of 55 invasive SPMs were noted in 53 pts (SPM incidence 3.6%). The incidence rate of SPMs was 4.55 per 1,000 person-years, based on 53 SPMs occurring over 11,646.14 person-years (calculated from CAR-T to the SPM diagnosis, death, or last follow-up). Baseline characteristics were similar for pts with no SPM versus SPM including: age at CAR-T (median 67 vs 65), female (36% vs 43%), Black (13% vs 16%), prior autologous transplant (87% vs 80%), lenalidomide for ≥2 years (31% vs 27%), high risk cytogenetics (23% vs 29%), and known clonal hematopoiesis (7.5% vs 9.9%). Differences were observed in baseline characteristics among pts with SPM versus no SPM for ≥2 prior alkylator lines of therapy (LOT) (82% vs 60%, p=0.002) and median prior LOT (6 vs 5, p=0.008). There was a trend for more patients with SPMs being age ≥70 (35% vs 37%, p=0.074). Of the 53 SPMs, 26 (49%) were myeloid (MDS or AML), 19 (35.8%) were solid, 7 (13.2%) were of T-cell origin, and 1 was a B-cell lymphoma. Of the T-cell SPMs, three were of T-LGL, though one of the T-LGL pts later developed an invasive CNS T-cell lymphoma (CAR-negative). There were four cases of confirmed CAR-positive T-cell SPMs (all pts treated with cilta-cel), of which two were indolent T-cell lymphoma of the GI tract and two were cutaneous PTCL. There was no difference in total incidence of SPMs among pts who received ide-cel (total=4.4%; myeloid=2.2%, T-cell=0.04%) versus cilta-cel (total=3%; myeloid=1.4%; T-cell=0.5%) (p=0.21). Median OS from the time of CAR-T therapy was 40.8 months for pts without SPM compared to 27.6 months for pts with SPM (p=0.4). Median OS did not differ by myeloid, solid, and T-cell subgroup: 26.4, 37.2, and 24 months, respectively (p=0.21). Median time from CAR-T cell to SPM was 12 months overall, and by subtypes of myeloid, solid, and T-cell was 13.2, 9.6, and 9.6 months, respectively (p=0.74). There was no difference in time to any SPM among pts receiving ide-cel versus cilta-cel (p=0.61). An earlier time to diagnosis of myeloid SPM was observed for cilta-cel versus ide-cel (4.8 vs 20.4 months; p=0.003). Median OS from the time of diagnosis of any SPM, myeloid, solid, or T-cell SPM was 9.6, 7.2, 15.6, and not reached in months, respectively (p=0.006), demonstrating that pts diagnosed with myeloid subtype SPM had inferior OS from the time of their SPM diagnosis compared to other subtypes. The cause of death of 4/11 myeloid SPM pts was the myeloid SPM itself. In univariable analysis for the entire cohort, age ≥70 (p=0.079), ≥5 prior LOT (p=0.012), and ≥2 prior alkylator LOT (p<0.001) were associated with higher risk for SPM. In multivariable analysis, ≥2 LOT containing alkylators was associated with higher risk of SPM (p=0.005). For the univariable analysis of the myeloid subgroup, ≥2 prior alkylator LOT (p=0.016) and ≥2 years of lenalidomide maintenance (p=0.063) were associated with higher risk of SPM. In multivariable analysis, ≥2 years of lenalidomide (p=0.065) was associated with a trend toward increased risk of myeloid SPM. Conclusions: With a median follow up of 13.1 months, the incidence of developing a SPM following CAR-T in pts with RRMM was 3.6%, of which approximately half were myeloid malignancies. There was no difference in SPM incidence when comparing the two CAR-T products. Pts treated with ≥2 alkylator LOT had a higher risk of SPM in multivariable analysis and may warrant additional monitoring for SPM development.
Prognostic significance of cell-of-origin, gene expression profiles, and frontline therapy in predicting secondary CNS lymphoma in newly diagnosed diffuse large B-cell lymphoma
Falade, Ayo, Mwangi, Raphael, Okcu, Izel, Ravindra, Aditya, Pradeep, Aishwarya, Hampel, Paul, Zanwar, Saurabh, Khan, Muhammad Azeem, Vodicka, Prokop, Klanova, Magdalena, Masar, Michal, Nedved, Adrienne, Khurana, Arushi, Durani, Urshila, Paludo, Jonas, Andrade-Gonzalez, Xavier, Thanarajasingam, Gita, Bennani, N. Nora, Thompson, Carrie, Hricko, Samuel, Janikova, Andrea, Wang, Yucai, Johnston, Patrick, Ivana, Micallef, Novak, Anne, King, Rebecca, Maurer, Matthew, Witzig, Thomas, Ansell, Stephen, Mou, Eric, Habermann, Thomas, Nowakowski, Grzegorz, Bisneto, Jose Villasboas, Trneny, Marek, Cerhan, James, Abeykoon, Jithma, Okcu, Izel , Falade, Ayo, Mwangi, Raphael, Ravindra, Aditya, Pradeep, Aishwarya, Hampel, Paul, Zanwar, Saurabh, Khan, Muhammad Azeem, Vodicka, Prokop, Klanova, Magdalena, Masar, Michal, Nedved, Adrienne, Khurana, Arushi, Durani, Urshila, Paludo, Jonas, Andrade-Gonzalez, Xavier, Thanarajasingam, Gita, Bennani, N. Nora, Thompson, Carrie, Hricko, Samuel, Janikova, Andrea, Wang, Yucai, Johnston, Patrick, Ivana, Micallef, Novak, Anne, King, Rebecca, Maurer, Matthew, Witzig, Thomas, Ansell, Stephen, Mou, Eric, Habermann, Thomas, Nowakowski, Grzegorz, Bisneto, Jose Villasboas, Trneny, Marek, Cerhan, James, Abeykoon, Jithma

Mayo Clinic

Blood | December 4, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 473-473

10.1182/blood-2025-473 Get It

Abstract Background Secondary central nervous system lymphoma (SCNSL) is a rare but significant complication, affecting approximately 2–10% of patients with diffuse large B-cell lymphoma (DLBCL), often leading to poor outcomes. The CNS-International Prognostic Index (CNS-IPI) remains a widely adopted tool for estimating CNS relapse risk; however, recent advances in molecular profiling and evolving treatment paradigms have challenged the adequacy of CNS-IPI alone in guiding risk assessment. This study evaluates the prognostic relevance of CNS-IPI in conjunction with molecular and clinical factors, specifically cell-of-origin (COO), gene expression, and frontline treatment regimens. The aim is to refine risk stratification and identify patients at highest risk for SCNSL. Method Building on our previous study, we analyzed data from patients with newly diagnosed DLBCL between 2002 and 2023, enrolled in the Mayo Clinic/University of Iowa Lymphoma Molecular Epidemiology Resource. Patients with primary CNS lymphoma, CNS involvement at diagnosis, or who received CNS-directed therapy were excluded. COO was determined using the Hans algorithm and/or Nanostring profiling. Multivariate cause-specific Cox regression models were used to estimate hazard ratios (HR) and 95% confidence intervals (CIs) for predictors of CNS relapse that were measured at the time of initial DLBCL diagnosis. Cumulative incidence with competing risks and cause-specific Cox models were used to analyze relapse risk. Result We included 2137 patients in our analysis, median age at diagnosis was 63 (IQR 53-72), with 41.6% (n=890) females. The albumin level was below normal in 32.5% (n=350), 64.0% (n=1367) had CNS-IPI of intermediate/high, 37.5% (n=586) had non-germinal center B-cell (GCB) COO, and 14.5% (n=309) were double expressor positive. At a median follow-up of 83 months (IQR 42 -143), 82 (3.8%) SCNSL relapses were observed; the 3 and 5 yrs cumulative incidence for SCNSL from time of DLBCL diagnosis were 3.7% (95% CI 3.0-4.7) and 3.8% (95% CI 3.1-4.8) respectively. In models accounting for death as a competing risk, the 5-year cumulative SCNSL incidence estimate for patients with a CNS-IPI low was 1.5% (95% CI 0.8-2.7), Intermediate was 4.9% (95% CI 3.7-6.4), and high was 6.1% (95% CI 3.8-9.6). The 5-year cumulative SCNSL incidence estimate for patients with non-GCB COO was 5.2% (95% CI 3.6-7.4) compared to 2.4% (95% CI 1.6-3.6; p=0.001) for GCB patients, and the 5-year cumulative SCNSL incidence for double expressor positive patients was 8.6% (95% 5.8-12.6) compared to 1.5% (95% CI 0.8-2.7; p<0.001) for double expressor negative patients. In a multivariable model (including CNS-IPI, COO, double expressor, treatment group, extranodal involvement, and albumin group), CNS-IPI intermediate (HR 2.85 [1.58-5.14]; p<0.001) and high (HR 4.31 [2.15-8.65]; p<0.001), non-GCB COO (HR 2.36 [1.37-4.06]; p=0.002], double expressor (HR 5.56 [2.88-10.73]; p<0.001), and below normal albumin (HR 1.89 [1.02-3.50]; p=0.042) were independently associated with increased risk of SCNSL. The majority of the SCNSL relapse occurred within the first 2 years after DLBCL diagnosis; 81.7% (n=67), with only 6.1% (n=5) occurring after 5 years. For patients who developed SCNSL, the median OS from the time of SCNSL diagnosis was 24 months (95% CI 17-34), with 5 years OS of 31% (95% CI 22-43). These findings are being validated using an external, international cohort, and final analysis will be presented at the time of presentation at ASH. Conclusion In this large, prospectively followed cohort with long-term follow-up data, SCNSL remains a rare but devastating complication of DLBCL, with a 5-year cumulative incidence of 3.8% and it is associated with very poor long-term survival. While CNS-IPI remains a strong predictor of SCNSL risk, our study identifies non-GCB COO and double expressor phenotype as independent, additive molecular risk factors. These findings suggest that current risk stratification tools may underestimate the risk of CNS relapse in molecularly defined high-risk subgroups. Considering the poor outcomes linked to SCNSL and the absence of a connection with frontline treatment types, future research should aim to enhance risk prediction models through molecular profiling and explore prophylactic strategies to reduce the likelihood of SCNSL.
Real world outcomes of bispecific T-cell engagers in plasma cell leukemia
Gaballa, Mahmoud, Julian, Kelley, Afrough, Aimaz, Hansen, Doris, Goel, Utkarsh, Corraes, Andre De Menezes Silva, Dima, Danai, Rana, Masooma, Hosoya, Hitomi, Mikkilineni, Lekha, Fogel, Lindsay, Raza, Shahzad, Banerjee, Rahul, Zanwar, Saurabh, Pasvolsky, Oren, Sannareddy, Aishwarya, Borogovac, Azra, Davis, James, Green, Kimberly, Biran, Noa, Herr, Megan, Shune, Leyla, Bhurtel, Evguenia, Atrash, Shebli, Ferreri, Christopher, Richards, Tiffany, Abid, Muhammad Bilal, Bal, Susan, Ali, Hossam M., Ye, J Christine, Richard, Shambavi, Kaur, Gurbakhash, Shain, Kenneth, Puglianini, Omar Alexis Castaneda, Rossi, Adriana, Anderson, Larry, Voorhees, Peter, Khouri, Jack, Sidana, Surbhi, Portuguese, Andrew, Janakiram, Murali, Lee, Hans, Lin, Yi, Grajales-Cruz, Ariel, Patel, Krina, Sborov, Douglas, Sidana, Surbhi , Hosoya, Hitomi , Davis, James A. , Ali, Hossam M. , Sidana, Surbhi , Davis, James A , Hosoya, Hitomi , Ali, Hossam M , Sannareddy, Aishwarya , Gaballa, Mahmoud, Julian, Kelley, Afrough, Aimaz, Hansen, Doris, Goel, Utkarsh, Corraes, Andre De Menezes Silva, Dima, Danai, Rana, Masooma, Mikkilineni, Lekha, Fogel, Lindsay, Raza, Shahzad, Banerjee, Rahul, Zanwar, Saurabh, Pasvolsky, Oren, Borogovac, Azra, Davis, James, Green, Kimberly, Biran, Noa, Herr, Megan, Shune, Leyla, Bhurtel, Evguenia, Atrash, Shebli, Ferreri, Christopher, Richards, Tiffany, Abid, Muhammad Bilal, Bal, Susan, Ali, Hossam M., Ye, J Christine, Richard, Shambavi, Kaur, Gurbakhash, Shain, Kenneth, Puglianini, Omar Alexis Castaneda, Rossi, Adriana, Anderson, Larry, Voorhees, Peter, Khouri, Jack, Portuguese, Andrew, Janakiram, Murali, Lee, Hans, Lin, Yi, Grajales-Cruz, Ariel, Patel, Krina, Sborov, Douglas

Mayo Clinic

Blood | December 4, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 823-823

10.1182/blood-2025-823 Get It

Abstract Background Patients (pts) with plasma cell leukemia (PCL) were excluded from key trials, so we assessed their outcomes with standard of care bispecific antibodies (BsAbs). Methods Our multicenter retrospective US Myeloma consortium study included PCL pts treated with BsAbs. PCL was defined as ≥5% circulating plasma cells, including primary PCL, secondary PCL, historical PCL, and active PCL within 30 days of BsAb initiation. Endpoints were toxicity rates, overall response (ORR), progression-free survival (PFS), and overall survival (OS). Results Our study involved 122 PCL pts from 15 US centers with: 27% primary PCL, 65% secondary PCL, 51% active PCL, 53% women, median age of 65 years (range 31-83), 77% white, 15% black, 60% high-risk cytogenetics, 45% high bone marrow burden (≥50% plasma cells), 5% CNS myelomatosis, and 20% EMD. Median prior lines of therapy (tx) were 6 (IQR 5-9), 94% triple-refractory, 57% penta-refractory, 73% prior transplant, and 57% prior BCMA tx (70% in talquetamab group, 41% in BCMA BsAb group). Treatments included 4 cohorts: 37% teclistamab, 11% elranatamab, 42% talquetamab definitive tx, and 11% talquetamab bridge to CAR-T. BsAb was used either as monotherapy (94%) or in combination (6%) with other agents. CRS grade (G) 1 was 41%, G2 14.8%, G3 2.5%, and G4 1.6%, while ICANS G1 was 8.2%, G2 7.4%, G3 3.3%, and G4 1.6%. Infections occurred in 34% and median hospitalization was 10 days (IQR 8-15). Of 110 evaluable pts, ORR was 54.5%, with 24.5% CR, 13.6% VGPR, and 16.4% PR. The ORR was 60.8% for talquetamab definitive tx (21.6% CR, 23.5% VGPR, 15.7% PR), 46.2% for elranatamab (38.5% CR, 7.7% PR), and 33.3% for teclistamab (20% CR, 4.4% VGPR, 8.9% PR). Talquetamab bridge to CAR-T in 12 evaluable pts had a pre-CAR-T day 30 ORR of 58.3% (16.7% CR, 8.3% VGPR, 33.3% PR). With a median follow-up of 8.3 months (mo), the median (m) PFS was 3.2 mo, and mOS was 9.2 mo, with similar outcomes between primary vs. secondary PCL (p=0.37 for PFS, p=0.18 for OS). Talquetamab definitive tx had better outcomes with a mPFS of 5.5 mo, mOS of 11.5 mo, 10-mo PFS of 31.2%, and 10-mo OS of 55.7%, and further improved when used as a bridge to CAR-T, with unreached mPFS, unreached mOS, 10-mo PFS of 53.8%, and 10-mo OS of 62.7%. BCMA BsAbs had inferior outcomes, with teclistamab yielding a mPFS of 1.2 mo, mOS of 8.1 mo, 10-mo PFS of 15.3%, and 10-mo OS of 44.3%, while elranatamab showed a mPFS of 1.6 mo and mOS of 3.6 mo (p=0.007 for PFS, p=0.023 for OS). In BCMA naive pts, BCMA BsAbs' outcomes remained inferior to talquetamab with a mPFS of 1.2 mo and mOS of 3.4 mo (p=0.003, 0.001). Sixty pts with active PCL had a poor mPFS (1.6 vs. 4.4 mo, p=0.036) and mOS (5.3 vs. 10.7 mo, p=0.004) compared to pts with only historical PCL. However, in active PCL, talquetamab definitive tx (n=29) showed superior outcomes with a mPFS of 6.9 mo and mOS of 12.2 mo (p=0.003, 0.012). Talquetamab bridge to CAR-T (n=3) showed a mPFS of 3.2 mo and mOS of 5.2 mo. BCMA BsAbs had inferior outcomes: teclistamab with a mPFS of 0.7 mo and mOS of 1.4 mo, while elranatamab showed a mPFS of 1.0 mo and mOS of 3.1 mo (p=0.003, 0.012). In BCMA naive pts, BCMA BsAbs' efficacy remained poor with a mPFS of 0.7 mo and mOS of 1.4 mo (p=0.006, 0.002). While in pts with only historical PCL (without active PCL), BCMA BsAbs in BCMA naive pts led to similar outcomes with a mPFS of 5.2 mo and mOS of 8.5 mo, compared to a mPFS of 3.7 mo and mOS of 10.4 mo with talquetamab (p=0.90, 0.86). Multivariable analysis (MVA) associated active PCL with worse PFS (p=0.035, HR=1.93, CI 1.05-3.55) and OS (p=0.017, HR=2.3, CI 1.16-4.60), talquetamab with improved PFS (p=0.009, HR=0.41, CI 0.21-0.81) and OS (p=0.012, HR=0.40, CI 0.19-0.82), and talquetamab bridge to CAR-T with improved PFS (p=0.042, HR 0.28, CI 0.08-0.95) without reaching statistical significance for OS (p=0.11, HR 0.29, HR 0.07-1.3). MVA results remained similar when the talquetamab bridge to CAR-T cohort was excluded. Conclusions Despite PCL's poor prognosis, talquetamab was superior to BCMA BsAbs in active PCL, with a mPFS of 6.9 mo and mOS of 12.2 mo, aligning with the broader cohort. BCMA BsAbs had poor efficacy in active PCL, even in BCMA naive pts, with a mPFS of 0.7 mo and mOS of 1.4 mo. In historical PCL without active PCL, BCMA BsAbs in BCMA-naive pts showed comparable outcomes to talquetamab. In the overall cohort, talquetamab bridge to CAR-T improved PFS without reaching significance for OS benefit in MVA.
Talquetamab outcomes in relapsed/refractory myeloma with extramedullary and paraskeletal soft tissue plasmacytomas
Afrough, Aimaz, Pasvolsky, Oren, Zanwar, Saurabh, Gaballa, Mahmoud, Sannareddy, Aishwarya, Dima, Danai, Goel, Utkarsh, Ali, Hossam M., Julian, Kelley, Corraes, Andre, Cassano, Raffaella, Janakiram, Murali, Goldsmith, Scott, Davis, James, Green, Kimberly, Biran, Noa, Fogel, Lindsay, Zolotov, Eli, Herr, Megan, Hassan, Hamza, Shune, Leyla, Kort, Jeries, Bal, Susan, Costa, Luciano, Ye, J Christine, Joiner, Laura, Raza, Shahzad, Anwer, Faiz, Khouri, Jack, Banerjee, Rahul, Portuguese, Andrew, Sidana, Surbhi, Rana, Masooma, Mikkilineni, Lekha, Hosoya, Hitomi, Atrash, Shebli, Ferreri, Christopher, Varga, Cindy, Sborov, Douglas, Midha, Shonali, Nadeem, Omar, Grajales-Cruz, Ariel, Baz, Rachid, Blue, Brandon, Freeman, Ciara Louise, Locke, Frederick, Patel, Krina, Lin, Yi, Kumar, Shaji, Hansen, Doris, Anderson, Larry, Voorhees, Peter, Puglianini, Omar Alexis Castaneda, Sidana, Surbhi , Hosoya, Hitomi , Davis, James A. , Ali, Hossam M. , Sidana, Surbhi , Davis, James A , Hosoya, Hitomi , Ali, Hossam M , Sannareddy, Aishwarya , Afrough, Aimaz, Pasvolsky, Oren, Zanwar, Saurabh, Gaballa, Mahmoud, Dima, Danai, Goel, Utkarsh, Ali, Hossam M., Julian, Kelley, Corraes, Andre, Cassano, Raffaella, Janakiram, Murali, Goldsmith, Scott, Davis, James, Green, Kimberly, Biran, Noa, Fogel, Lindsay, Zolotov, Eli, Herr, Megan, Hassan, Hamza, Shune, Leyla, Kort, Jeries, Bal, Susan, Costa, Luciano, Ye, J Christine, Joiner, Laura, Raza, Shahzad, Anwer, Faiz, Khouri, Jack, Banerjee, Rahul, Portuguese, Andrew, Rana, Masooma, Mikkilineni, Lekha, Atrash, Shebli, Ferreri, Christopher, Varga, Cindy, Sborov, Douglas, Midha, Shonali, Nadeem, Omar, Grajales-Cruz, Ariel, Baz, Rachid, Blue, Brandon, Freeman, Ciara Louise, Locke, Frederick, Patel, Krina, Lin, Yi, Kumar, Shaji, Hansen, Doris, Anderson, Larry, Voorhees, Peter, Puglianini, Omar Alexis Castaneda

Mayo Clinic

Blood | December 4, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 825-825

10.1182/blood-2025-825 Get It

Abstract Background: Talquetamab (Talq), a GPRC5D-targeting bispecific antibody, shows promising activity in relapsed/refractory multiple myeloma (RRMM). However, outcomes in patients (pts) with soft tissue plasmacytoma (STP) remain poorly characterized. Method: We retrospectively analyzed 463 RRMM pts treated with Talq at 15 U.S. centers by Dec 2024. Pts were grouped by presence of STP at Talq start: (1) extramedullary disease (EMD; lesions not contiguous with bone), (2) paraskeletal disease (PSK; bone-contiguous), (3) EMD + PSK, and (4) No-STP. Those receiving Talq as a bridge-to-CAR T (n=103, 22%) were censored at CAR T infusion if progression had not occurred. Time-to-event endpoints were calculated from Talq step-up, using Kaplan-Meier/Cox models. Result: Median age was 66 years (y) (35–89); 54 (11.7%) had EMD, 26 (5.6%) PSK, 60 (13%) EMD+PSK, and 320 (69%) No-STP. EMD pts were younger than No-STP (62 vs 66 y, p=.009), while PSK (66.5) and EMD+PSK (64.5) were similar to No-STP. Median prior lines were higher in PSK (7) vs EMD (5), EMD+PSK (6) and No-STP (6) (p=.035). Median time from diagnosis to Talq was shortest in EMD (3.8 y), followed by EMD+PSK (4.6 y), vs PSK (6.4 y), and No-STP (5.9 y) (p=.015). Among pts with any EMD (EMD or EMD+PSK), 81 (69%) had visceral involvement and 85 (73%) had multiple lesions. Rates of prior BCMA- or GPRC5D-directed therapy, plasma cell leukemia (≥5% circulating plasma cells at the time of Talq), and penta-refractoriness were similar across groups. ECOG ≥ 2 at Talq was more common in EMD (42%), PSK (39%), EMD+ PSK (37%) than in No-STP (23%) (p = .002). Other baseline features were similar. Cytokine release syndrome (CRS) rate/severity were similar across groups. The immune effector cell–associated neurotoxicity syndrome (ICANS) was more frequent in PSK (38%) vs EMD (11%), EMD + PSK (18%), and No-STP (11%), with the most PSK cases (60%, 6/10) being grade ≥2 (p=.006). No difference in CRS/ICANS onset or duration. Infection rates were lower in No-STP (36%) vs EMD (55%), PSK (46%), and EMD+ PSK (48%) (p=.025). Best overall response rates (ORR) were 71% in EMD, 68% in PSK, 67% in EMD+PSK, and 71% in No-STP (p=.9). Complete response (CR) rates were 14% in EMD, 20% in PSK, 13% in EMD+ PSK, and 25% in No-STP (p=.1) [CRs were not required to be confirmatory, which may not meet full IMWG criteria]. Radiographic response was evaluable in 41 EMD (86%), 16 PSK (61.5%), and 48 EMD+PSK (80%) pts, with partial response (PR) or better observed in 48%, 27%, and 38%, respectively. Among pts with any STP, 34% received radiation (XRT) (4 as bridge-to-CAR T), 24 (51%) were evaluable, and 71% (n=17) achieved ≥PR. The median follow-up from Talq initiation was 10.1 months (mo) (95% CI: 8.8–11.4) and was longest in EMD (13.9 mo) compared with PSK (10.8 mo), EMD+PSK (12.4 mo), and No-STP (9.8 mo) (p = .040). Median progression-free survival (PFS) was 4.3 mo (95% CI: 3.6–5.06) in EMD, 4.8 mo (95% CI: 2.2–7.3) in PSK, 3.8 mo (95% CI: 3.1-4.5) in EMD+ PSK, and 8.3 mo (95% CI: 7.0–9.6) in No-STP (p <.001). Among pts receiving XRT for any STP (within 4 weeks prior to or during Talq), responders had longer PFS vs non-responders (15.4 vs. 2.4 mo; p=.009). Multivariable analysis (MVA) showed inferior PFS with EMD (Hazard Ratio (HR) 1.58; 95% CI, 1.04-2.3; p=.029), EMD+PSK (HR 1.91; 95% CI, 1.2–2.8; p = .001), ECOG ≥ 2 (HR 1.4; 95% CI, 1.04–1.9; p = .024), and del(17p) at any timepoint (HR 1.99; 95% CI, 1.1–3.5; p=.017), while longer time from diagnosis to Talq was modestly protective (HR 0.95 per year; p = .016), likely reflecting less aggressive biology in those reaching 5th+ line later. PSK alone showed a non-significant trend toward inferior PFS (HR 1.5; p = .1). Median overall survival (OS) was 13.0 mo (95% CI: not reached [NR]–NR) in EMD, 12.9 mo (95% CI: 6.9–18.9) in PSK, 10.9 mo (95% CI: NR–NR) in EMD+PSK, and NR (95% CI: NR–NR) in No-STP (p = .017). The primary cause of death was disease-related across all groups (p = .6). MVA for OS showed worse outcomes with EMD+PSK (HR 1.7; p=.033), ECOG ≥ 2 (HR 1.98; p <.001), and active PCL at Talq (HR 2.1; p =.010). Conclusion: Soft tissue plasmacytoma, particularly EMD and EMD+PSK, remain strong adverse prognostic factors in Talq-treated patients, with significantly shorter PFS and OS despite similar response rates. Radiation to STP sites was associated with improved outcomes in select cases. Prospective strategies are needed to optimize management for this high-risk population.
Outcomes of bispecific T-cell engagers in MM patients with central nervous system (CNS) involvement
Gaballa, Mahmoud, Feng, Lei, Afrough, Aimaz, Banerjee, Rahul, Davis, James, Borogovac, Azra, Zanwar, Saurabh, Julian, Kelley, Biran, Noa, Puglianini, Omar Alexis Castaneda, Mikkilineni, Lekha, Ferreri, Christopher, Herr, Megan, Shune, Leyla, Bhurtel, Evguenia, Dima, Danai, Pasvolsky, Oren, Green, Kimberly, Janakiram, Murali, Hassan, Hamza, Kalariya, Nilesh, Corraes, Andre, Fogel, Lindsay, Singhal, Ruchi, Grajales-Cruz, Ariel, Blue, Brandon, Haider, Asad, Sannareddy, Aishwarya, Seif, Sherif, Thomas, Sheeba, Rana, Masooma, Ye, J Christine, Richards, Tiffany, Hosoya, Hitomi, Atrash, Shebli, Anderson, Larry, Goldsmith, Scott, Sidana, Surbhi, Voorhees, Peter, Sborov, Douglas, Lin, Yi, Portuguese, Andrew, Hansen, Doris, Patel, Krina, Sidana, Surbhi , Hosoya, Hitomi , Davis, James A. , Sidana, Surbhi , Davis, James A , Hosoya, Hitomi , Sannareddy, Aishwarya , Gaballa, Mahmoud, Feng, Lei, Afrough, Aimaz, Banerjee, Rahul, Davis, James, Borogovac, Azra, Zanwar, Saurabh, Julian, Kelley, Biran, Noa, Puglianini, Omar Alexis Castaneda, Mikkilineni, Lekha, Ferreri, Christopher, Herr, Megan, Shune, Leyla, Bhurtel, Evguenia, Dima, Danai, Pasvolsky, Oren, Green, Kimberly, Janakiram, Murali, Hassan, Hamza, Kalariya, Nilesh, Corraes, Andre, Fogel, Lindsay, Singhal, Ruchi, Grajales-Cruz, Ariel, Blue, Brandon, Haider, Asad, Seif, Sherif, Thomas, Sheeba, Rana, Masooma, Ye, J Christine, Richards, Tiffany, Atrash, Shebli, Anderson, Larry, Goldsmith, Scott, Voorhees, Peter, Sborov, Douglas, Lin, Yi, Portuguese, Andrew, Hansen, Doris, Patel, Krina

Mayo Clinic

Blood | December 4, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 824-824

10.1182/blood-2025-824 Get It

Abstract Background Patients (pts) with multiple myeloma and CNS involvement (CNS MM) have poor outcomes, and we recently showed that CAR-T has activity and is reasonable in this population (Gaballa et al., 2025). We sought to evaluate the safety and efficacy of Bispecific T-cell engagers (BsAbs) in CNS MM pts, with specific interest in evaluating ICANS. Methods We conducted a retrospective study of CNS MM pts treated with BsAbs via the MM immunotherapy consortium. Primary endpoints were toxicity rates, with a specific focus on ICANS. Secondary endpoints were systemic responses, CNS responses, and survival outcomes. CNS MM was defined as involvement of the brain parenchyma, spinal cord tissue, leptomeningeal disease, or CSF positivity. CNS response was determined based on CSF and imaging, as complete CNS response, partial CNS response, and non-response/progression. Results The study included 24 pts from 13 US institutions treated with teclistamab (33%), talquetamab (50%), elranatamab (17%), and were used as monotherapy in 83% while 17% received them in combination with either daratumumab or IMiDs. The median age was 64.5 (range 41-82), 50% female, 79% white, and 17% black. High-risk cytogenetics were identified in 39%, 4% had prior primary PCL, and 21% had secondary PCL (2 active within 30 days of BsAb initiation). All pts were triple-refractory, 33% were penta-refractory, and 39% had non-CNS EMD. Pts received a median of 5 prior lines of therapy (IQR 4-7), 71% prior transplant, and 21% prior CAR-T. Prior BCMA therapy was received in 83% of the talquetamab group and 17% of the BCMA BsAbs group (teclistamab and elranatamab). CNS disease was determined based on both imaging and CSF findings in 58%, imaging only in 33%, and CSF only in 8%. Site of CNS disease included 42% brain/cranial nerves, 13% spinal cord, or 46% with both. CNS disease was diagnosed prior to BsAb in 19 pts, with a median interval of 46 days (IQR 7-234), and 3 pts were identified within 2 weeks after BsAb initiation. Two pts identified at days 68 and 121 were included in the safety evaluation but excluded from the efficacy assessments. One pt received teclistamab and intrathecal chemotherapy (IT chemo) as a bridge to CAR-T and achieved a complete CNS response before CAR-T. CNS-directed therapy consisted of: 30% radiotherapy (RT), 30% IT chemo, 13% RT + IT chemo, 9% RT + surgery, and 4% steroids. CRS grade (G) 1-2 occurred in 50%, with no G3-4 CRS. ICANS G 1, 2, and 3 occurred in 13%, 21%, and 4%, respectively, with no G 4 ICANS. One pt developed delayed parkinsonism, and another developed leukoencephalopathy; both had CNS MM diagnosed pre-BsAbs and achieved a CNS response (1 complete, 1 partial). Infections occurred in 67% of pts, with 42% being severe, and 1 infection-related death. The systemic ORR of 18 evaluable pts was 67%, including 22% CR, 17% VGPR, and 28% PR. The overall CNS response of 19 evaluable pts was 58%, including 37% complete CNS response and 21% partial CNS response. Of 11 pts achieving a CNS response, 82% didn't have subsequent CNS progression. In 9 pts achieving CNS response after BsAb initiation, the median time to CNS response was 0.9 months (range 0.03-2.8), with an unreached median duration of CNS response. With a median follow-up of 11 months, the median PFS was 5.0 months (95% CI 2.5-NA) and OS was 12.2 months (95% CI 7.7-NA). No significant difference in median PFS (10.6 vs 4.6 months, p=0.11) or OS (20.2 vs 9.3 months, p=0.37) was observed between BCMA BsAbs (n=11) and talquetamab (n=11). Due to small sample limitation, no significant difference was observed in the median PFS (4.6 vs 8.2 months, p=0.48) or OS (20.2 vs 9.9 months, p=0.73) between BsAb monotherapy (n=19) and BsAb combination therapy (n=3). One pt who received teclistamab as a bridge to CAR-T achieved a complete CNS response and remains progression-free to date, demonstrating the best long-term outcome with a PFS of 674 days. Conclusions Our study demonstrates that BsAb use in pts with CNS MM is safe without increased incidence of ICANS. The use of BsAbs in combination with a multimodal CNS-directed approach led to an overall CNS response rate of 58% and an unreached median duration of CNS response. Previous studies (Gaballa et al., 2025) reported a 100% CNS response rate with CAR-T. In this study, 1 pt treated with BsAb as a bridge to CAR-T had the longest PFS, warranting further research to evaluate this combination's efficacy in this very high-risk population.
Safety and efficacy of talquetamab in patients with relapsed and refractory multiple myeloma (RRMM) with and without renal impairment (RI)
Joiner, Laura, Pasvolsky, Oren, Afrough, Aimaz, Zanwar, Saurabh, Banerjee, Rahul, Cassano, Raffaella Cassano, Gaballa, Mahmoud, Julian, Kelley, Grajales-Cruz, Ariel, Alsina, Melissa, Goel, Utkarsh, Corraes, Andre, Dima, Danai, Rana, Masooma, Hosoya, Hitomi, Mikkilineni, Lekha, Fogel, Lindsay, Raza, Shahzad, Ali, Hossam M., Sannareddy, Aishwarya, Sborov, Douglas, Borogovac, Azra, Janakiram, Murali, Davis, James, Green, Kimberly, Biran, Noa, Hassan, Hamza, Herr, Megan, Shune, Leyla, Bhurtel, Evguenia, Atrash, Shebli, Ferreri, Christopher, Midha, Shonali, Nadeem, Omar, Puglianini, Omar Alexis Castaneda, Shain, Kenneth, Abid, Muhammad Bilal, Voorhees, Peter, Khouri, Jack, Portuguese, Andrew, Lin, Yi, Sidana, Surbhi, Hansen, Doris, Patel, Krina, Costa, Luciano, Bal, Susan, Anderson, Larry, Sidana, Surbhi , Hosoya, Hitomi , Davis, James A. , Ali, Hossam M. , Sidana, Surbhi , Davis, James A , Hosoya, Hitomi , Ali, Hossam M , Sannareddy, Aishwarya , Joiner, Laura, Pasvolsky, Oren, Afrough, Aimaz, Zanwar, Saurabh, Banerjee, Rahul, Cassano, Raffaella Cassano, Gaballa, Mahmoud, Julian, Kelley, Grajales-Cruz, Ariel, Alsina, Melissa, Goel, Utkarsh, Corraes, Andre, Dima, Danai, Rana, Masooma, Mikkilineni, Lekha, Fogel, Lindsay, Raza, Shahzad, Ali, Hossam M., Sborov, Douglas, Borogovac, Azra, Janakiram, Murali, Davis, James, Green, Kimberly, Biran, Noa, Hassan, Hamza, Herr, Megan, Shune, Leyla, Bhurtel, Evguenia, Atrash, Shebli, Ferreri, Christopher, Midha, Shonali, Nadeem, Omar, Puglianini, Omar Alexis Castaneda, Shain, Kenneth, Abid, Muhammad Bilal, Voorhees, Peter, Khouri, Jack, Portuguese, Andrew, Lin, Yi, Hansen, Doris, Patel, Krina, Costa, Luciano, Bal, Susan, Anderson, Larry

Mayo Clinic

Blood | December 4, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 827-827

10.1182/blood-2025-827 Get It

Abstract Background Talquetamab (talq) is a GPRC5D-directed bispecific antibody (BsAb) approved for the treatment of relapsed and refractory multiple myeloma (RRMM). The pivotal monumenTAL-1 clinical trial did not include patients with renal impairment (RI, creatinine clearance<40 mL/min) and therefore, data for the use of this agent in RI is lacking. Methods We examined the outcomes of patients with RRMM treated with standard of care (SOC) talq in a multicenter, retrospective cohort study. RI was defined as creatinine clearance (CrCl) <40 mL/min. For each patient we recorded demographics, disease characteristics, prior therapies, incidence and severity of adverse events of special interest, namely cytokine release syndrome (CRS) and immune-cell associated neurotoxicity syndrome (ICANS), along with response, progression-free (PFS) and overall survival (OS). We compared binary variables between different groups using Chi-squared test and assessed progression free survival (PFS) and overall survival (OS) using Kaplan Meier and Cox proportional hazards models. Patients who received talq as a bridge therapy prior to chimeric antigen receptor T-cells (CART cells) were censored for PFS analysis at the time of subsequent therapy. Results We included 417 patients who received SOC Talq and had complete datasets. 91 (22%) had RI, including 20 (5%) on dialysis. The median age was 68 and 65 years for patients with and without RI. Patients with RI were more likely to be female (64% vs. 51%), less likely to have prior CART cells (35% vs. 48%). There were no differences in performance status, race, presence of high-risk cytogenetic abnormalities [del17p, t(4;14), t(14;16), gain/amplification 1q], lines of prior therapy (median 6 vs. 6), prior ASCT (68% vs. 72%), presence of CNS disease (4% vs. 4%), prior plasma cell leukemia (8% vs 9%), prior BCMA therapy (54% vs. 61%) and triple class refractory disease (90% vs. 94%) among patients with and without RI. Rates of CRS (63% vs. 56%, P=0.21) were similar in the two groups, while severe CRS (grade ≥3: 6% vs 2%, P=0.02) was more common in patients with RI. Any grade (20% vs 14%, P=0.21) and high grade ICANS (grade ≥3: 4% vs 4%, P=0.97) were similar in patients with and without RI. There was no difference between groups on risk of infection (P=0.65) with cumulative risk at 6 months of 39% vs. 40%. With 11.1 months of median follow up, the overall response rate (60% vs 67%; P = 0.12), and progression-free survival (median 7.3 vs. 6.5 mo.; P = 0.9) were comparable between the two groups. There was no difference in outcomes according to RI in both patients previously treated with BCMA-directed therapy and BCMA-naïve. Conversely, among patients with RI, median PFS was 4.6 and 8.5 mo. for patients with and without prior BCMA therapy. Similarly, among patients without RI, median PFS was 6.5 and 6.2 mo, respectively. Among BCMA-naïve patients, there was no difference in OS between patients with and without RI (median not reached, 12 mo. OS rate 71% vs. 73%, P=0.53), while among patients with prior BCMA-directed therapy there was a trend towards better OS for patients without RI (median 8.9 vs. 13.8 mo; 12 mo. OS rate 43% vs 59%, P=0.06). Five patients (25%) became dialysis independent following talq therapy. On multivariable analysis, ECOG >1 (HR 1.62, 95% C.I. 1.25-2.10, P<0.001) and deletion of 17p (HR 1.55, 95% C.I. 1.17-2.06, P=0.003) but not RI or prior BCMA-directed therapy affected PFS. OS was affected by ECOG >1 (HR 2.37, 95% C.I 1.71-3.30, P<0.001), triple-class refractoriness (HR 3.03, 95% C.I. 1.12-8.21, P=0.03) and prior BCMA-directed therapy (HR 1.79, 95% C.I. 1.24-2.59, P=0.002) but not by RI. Conclusion Our findings support the feasibility of talq in patients with RI, including those on dialysis, with similar safety and efficacy profile to patients without RI. While neither prior BCMA-directed therapy nor RI affect PFS, refractoriness to conventional agents and prior exposure to BCMA-directed therapy adversely affects OS. This observation likely reflects better post progression survival following talq due to the availability of efficacious therapeutic options, including those directed at BCMA.
Cytokine score for prognostication of newly diagnosed multiple myeloma
Bohra, Arwa, Dasari, Surendra, Binder, Moritz, Zanwar, Saurabh, Gonsalves, Wilson, Rajkumar, S. Vincent, Kumar, Shaji, Bohra, Arwa, Dasari, Surendra, Binder, Moritz, Zanwar, Saurabh, Gonsalves, Wilson, Rajkumar, S. Vincent, Kumar, Shaji

Mayo Clinic

Blood | December 4, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 7463-7463

10.1182/blood-2025-7463 Get It

Abstract Introduction Multiple myeloma (MM) is clinically heterogeneous, and therapeutic response is profoundly influenced by the complex cytokine milieu of the bone marrow microenvironment. Unlike most cancers, MM staging incorporates non–tumor-burden markers such as serum albumin, β₂-microglobulin, and LDH, which are prognostically useful but biologically nonspecific. Although individual cytokines (e.g., IL-6, IL-17, TGF-β) have been linked to disease activity, a comprehensive, systems-level assessment comparing an exhaustive list of cytokines, chemokines, and growth factors across large patient cohorts is lacking. Here, we present evidence for an actionable cytokine panel, using gene expression–derived cytokine bioactivity as a surrogate measure. Methods CD138 enriched bone marrow plasma cell RNA-seq, Seq-FISH, and clinical data were obtained from the MMRF CoMMpass study. Data were TMM-normalized, log₂(x + 1) transformed, and mean-centered. Bioactivity scores for 64 cytokines, chemokines, and growth factors were inferred using CytoSig (National Cancer Institute). CytoSig leverages transcriptomic data from over 20,000 samples treated with individual molecules to model gene expression changes of cytokine regulators, targets, and response elements to provide z-scores. Reverse validation of bioactivity between samples scoring top and bottom quartiles of each cytokine was done using pathway analysis via Gene Set Enrichemnent analysis platform that verifies bioactivity across 7561 well-studied gene sets.(MSigDB C2 2025). Cytokines with upregulation of associated pathways were considered for downstream analyses (Criteria: Normalized enrichment score > 1). Genes were ranked by sign(logFC) × –log₁₀(p), identifying 44 significantly enriched pathways. Univariate Cox regression identified prognostic cytokines. To account for variable correlation and improve prediction, Elastic Net Cox regression (α = 0.5) was used, combining LASSO (L1) and Ridge (L2) penalties. For biological validation, pathway analysis was done between samples with high vs low serum C-Reactive Protein(CRP). Survival kinetics and clinical characteristics were analyzed for the derived model. Results A total of 767 NDMM patients were included (median age 63 years, range 27–93); median overall survival (OS) was 44.4 months (IQR 70.9). Revised International Staging System (R2-ISS) distribution was: Stage I 14.7%, II 24.0%, III 34.7%, and IV 6.4%. Based on the International Myeloma Society–International Myeloma Working Group (IMS–IMWG) definition, 32.2% of patients were classified as high-risk. Supervised analysis identified 30 univariate prognostic cytokines. Elastic Net retained BMP-7, IGF-1, IL-3, NRG1, IL-17A, IL-2, IL-21, and TGF-A (positive coefficients), and IL-4, IL-18, BMP-4, palmitic acid, DHT, and BMP-2 (negative coefficients). In sensitivity analysis, after removing cytokines not passing GSEA validation, the cytokine score (CS) was established using BMP-7, IL-3, TGF-A, IL-17A, BMP-2, IL-18, BMP-4, and IL-4. High serum CRP–associated gene expression was linked to upregulation of IL-17 and BMP pathways and downregulation of IL-4 signaling. Patients with CS ≥ median had higher β2M (p < 0.001) and LDH (p = 0.005); creatinine (p = 0.07) and albumin (p = 0.6) were not significant. CS was higher in patients with del(17p), 1q21 gain, high-risk IGH, t(8;14), and del(1p), and lower in those with hyperdiploidy (all p < 0.01). CS achieved a C-index of 0.67. Median OS was 58.7 months in the high-CS group vs. 102.5 months in the low-CS group (p < 0.001). Adding continuous CS to a model with continuous β2M + continous albumin improved C-index from 0.65 to 0.72. ISS improved from 0.62 to 0.68; R2-ISS from 0.65 to 0.69. A multivariate model with β2M ≥ 5.5, del(1p) + 1q gain, t(4;14), deep del(1p), and del(17p) improved from 0.63 to 0.68 with CS. Discussion These findings require functional validation in patient samples through direct measurement of cytokine levels. BMP-7 remains understudied in MM. Elevated TGF-α, IL-3, and IL-17 promote angiogenesis, bone resorption, and immune dysfunction, while BMP-2 and BMP-4 act as tumor suppressors. IL-18 is being utilised to boost T-cell responses, and IL-4 is consistently reduced in MM. Conclusion This study provides evidence for a robust, clinically translatable cytokine, chemokine, and growth factor panel. IL-17, IL-4, and BMPs emerged as consistently regulated across all analyses. CS is associated with high-risk disease and inferior survival.
Cardiac complete response in AL amyloidosis: Phenotypic characteristics, functional recovery, and survival outcomes of 63 patients
Muchtar, Eli, Geyer, Susan, Dispenzieri, Angela, Grogan, Martha, Kourelis, Taxiarchis, Buadi, Francis, Kapoor, Prashant, Dingli, David, Gonsalves, Wilson, Leung, Nelson, Merlini, Giampaolo, Rosenthal, Julie, Lyle, Melissa, Hayman, Suzanne, Lacy, Martha, Siddiqui, Mustaqeem, Cook, Joselle, Abdallah, Nadine, Binder, Moritz, Zanwar, Saurabh, Lin, Yi, Warsame, Rahma, Kyle, Robert, Rajkumar, S. Vincent, Kumar, Shaji, Gertz, Morie, Muchtar, Eli, Geyer, Susan, Dispenzieri, Angela, Grogan, Martha, Kourelis, Taxiarchis, Buadi, Francis, Kapoor, Prashant, Dingli, David, Gonsalves, Wilson, Leung, Nelson, Merlini, Giampaolo, Rosenthal, Julie, Lyle, Melissa, Hayman, Suzanne, Lacy, Martha, Siddiqui, Mustaqeem, Cook, Joselle, Abdallah, Nadine, Binder, Moritz, Zanwar, Saurabh, Lin, Yi, Warsame, Rahma, Kyle, Robert, Rajkumar, S. Vincent, Kumar, Shaji, Gertz, Morie

Mayo Clinic

Blood | December 4, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 3960-3960

10.1182/blood-2025-3960 Get It

Abstract Cardiac involvement in AL amyloidosis significantly impacts both short and long-term survival. Achieving cardiac complete response (CarCR) is linked to excellent survival, comparable to that of the general population. We undertook this study to characterize patients with AL amyloidosis who achieved CarCR. Methods: A single-center retrospective study of patients diagnosed with cardiac AL amyloidosis between 2004 and 2023 and achieved a documented CarCR for at least 12 months. Patients were included if they had evidence of cardiac involvement confirmed by cardiac imaging (transthoracic echocardiogram or cardiac magnetic resonance) and Congo red–positive tissue (non-cardiac or heart biopsy), and were evaluable for cardiac response based on baseline NT-proBNP > 650 pg/mL or BNP > 150 pg/mL. CarCR was defined as a reduction in NT-proBNP to less than 350 pg/mL (or BNP less than 80 pg/mL). Heart transplant patients were excluded. Results: Sixty-three patients were included, representing 4.6% of the cardiac evaluable population in the study period. This proportion increased in the second period compared to the first period (7.5% vs 3.2%, P<0.001). The median age at diagnosis of 57 years (ranging from 29 to 79); 63% were male. Lambda light chain disease was evident in 63% of patients. The median difference between the involved and uninvolved light chain (dFLC) at baseline was 429 mg/L (interquartile range [IQR] 143-708). While all patients had cardiac involvement, 63% also presented with extra-cardiac involvement [kidneys (52%), liver (16%), autonomic nerves (14%), luminal gastrointestinal tract (11%), and peripheral nerves (10%)]. The median baseline NT-proBNP for the entire cohort was 1977 pg/mL (IQR 1393-3026). The median troponin T (n=43) was 0.02 ng/mL (IQR <0.01-0.05) and the median high-sensitivity troponin T (n=19) was 49 ng/L (IQR 38-79 ng/L). Cardiac stage distribution, according to the European modification of the Mayo 2004 staging model, was as follows: 59% stage II, 39% stage IIIa, and 2% stage IIIb. At baseline, echocardiogram features included a median left ventricular (LV) ejection fraction of 63%, a median intraventricular septum thickness of 14 mm, and a median average LV longitudinal strain of -12%. The most common first-line therapies were autologous stem cell transplantation (ASCT; with or without induction, 54%), bortezomib-containing therapy (22%), and daratumumab-containing therapy (13%). Hematological complete response rates at 3-month, 6-month, and best response prior to CarCR were 32%, 49% and 76%, respectively. At CarCR, the median NT-proBNP was 265 pg/mL (IQR 220-307) with a median time from treatment onset to CarCR achievement of 20.6 months. At CarCR, 33% of patients were on loop diuretics. The CarCR rate at 6, 12, 24, 36, 48 and 60 months from treatment onset was 10%, 39%, 81%, 90%, 95% and 96%, respectively. Temporary increase of NT-proBNP above 350 pg/mL with return to CarCR was documented in 46% of patients. Echocardiogram parameters also improved significantly at the time of CarCR, with average left ventricular longitudinal strain showing the greatest median improvement in relation to baseline (from -12% to -17%, p<0.001). However, echocardiographic parameters did not fully normalize in all patients. Cardiac progression was seen in 14% of patients, at a median of 7.6 years from the initial time of CarCR. In addition, subsequent clone-directed therapy was given in 44% of patients at a median of 4.6 years from the initial treatment. With a median follow-up of 9.5 years, eight patients (13%) died, 4 due to causes unrelated to AL. We compared the survival of patients who achieved CarCR to the general U.S. population, matching for age, sex, and the year treatment. The observed survival of CarCR patients was similar to that of the general population (p=0.35). Conclusion: Patients with persistent CarCR >12 months in AL amyloidosis are uncommon and demonstrate excellent outcomes. The achievement of hematological CR was required in 3 out of 4 patients reaching a CarCR. Echocardiographic changes of amyloid infiltration may still persist in this highly favorable cohort, indicating that “complete” response refers primarily to functional and prognostic improvement, not necessarily a full restoration to pre-disease cardiac morphology and function. Achieving CarCR is associated with a low risk of cardiac progression, but the need for subsequent clone-directed therapy remains elevated.
Clinical, anatomic, and histologic determinants of gastrointestinal disease burden and survival in systemic AL amyloidosis: A cohort study of 560 patients
Steinhardt, Max, Muchtar, Eli, Kourelis, Taxiarchis, Warsame, Rahma, Mauermann, Michelle, Buadi, Francis, Dingli, David, Leung, Nelson, Cook, Joselle, Go, Ronald, Hayman, Suzanne, Gonsalves, Wilson, Kapoor, Prashant, Zanwar, Saurabh, Binder, Moritz, Hellou, Tamer, Tan, Melinda, Fonder, Amie, Hobbs, Miriam, Abdallah, Nadine, Lin, Yi, Siddiqui, Mustaqeem, Kyle, Robert, Einsele, Hermann, Rajkumar, S. Vincent, Kumar, Shaji, Kortüm, K. Martin, Gertz, Morie, Dispenzieri, Angela, Mauermann, Michelle L. , Mauermann, Michelle L , Steinhardt, Max, Muchtar, Eli, Kourelis, Taxiarchis, Warsame, Rahma, Buadi, Francis, Dingli, David, Leung, Nelson, Cook, Joselle, Go, Ronald, Hayman, Suzanne, Gonsalves, Wilson, Kapoor, Prashant, Zanwar, Saurabh, Binder, Moritz, Hellou, Tamer, Tan, Melinda, Fonder, Amie, Hobbs, Miriam, Abdallah, Nadine, Lin, Yi, Siddiqui, Mustaqeem, Kyle, Robert, Einsele, Hermann, Rajkumar, S. Vincent, Kumar, Shaji, Kortüm, K. Martin, Gertz, Morie, Dispenzieri, Angela

Mayo Clinic

Blood | December 4, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 3962-3962

10.1182/blood-2025-3962 Get It

Abstract Background: Gastrointestinal (GI) symptoms are frequent in patients (pts) with systemic light chain amyloidosis (AL), yet their clinical significance remains poorly defined. We investigated the role of symptomatic GI involvement in disease burden, survival, and organ-specific outcomes in a large single-center cohort. Methods From 2010–2025, 4,396 AL pts were evaluated at our center; 560 pts (13%) had provider-attributed symptomatic GI AL. Pts with localized AL or positive biopsy without GI symptoms were excluded (n=38). We analyzed relationships between GI symptoms, anatomic/histologic involvement, laboratory parameters, survival, and need for nutritional support using Wilcoxon rank-sum, Chi-square, Kaplan-Meier, and logistic regression tests. Results GI symptoms included early satiety (n=320/57%), diarrhea (n=189/34%), nausea (n=184/33%), abdominal pain (n=148/26%), dysphagia (n=119/21%), vomiting (n=75/13%), GI bleeding (n=74/13%), and heartburn (n=71/13%). Only nausea and GI bleeding were not associated with cardiac (n=366/65%) renal (n=274/49%) or hepatic (n=84/15%) AL, whereas dysphagia, early satiety and heartburn were more frequent with cardiac (all OR=1.7), abdominal pain and diarrhea with hepatic (OR=2 and 1.6, respectively), and vomiting with renal involvement (OR=2; all p<0.04). Autonomic involvement impacted GI symptoms, often without proof of parenchymal GI amyloid. Of the 124 pts with formal autonomic testing, only 44 (35%) had positive GI biopsies as compared to AL GI pts without proven autonomic involvement (240/436, 55%). Pts with autonomic involvement were more symptomatic than pts with positive GI biopsies, suffering more often from dysphagia (29% vs 19%), diarrhea (41% vs 32%), and gastroparesis (34% vs 9%, all p<0.001). We screened changes in body weight, calcium, VitB12, Hb, PO4, and albumin at diagnosis. Of the 175 pts with documented weight loss in this cohort, pts with GI AL lost more weight compared to those with other organ involvement (21% vs 14% of weight, p=0.002), and had lower phosphate (3.7 vs 4.0 mg/dL, p=0.06). In our cohort of pts with GI symptoms, 298 (53%) had a positive GI biopsy. Biopsy-proven anatomic involvement dictated symptoms (all p<0.05): Of the 20 pts with positive esophageal biopsy, dysphagia was present in 45%; only 33% of the pts without an esophageal biopsy had dysphagia. Similar patterns were seen for the 170 pts with a positive gastric biopsy (n=170) in terms of heartburn (21% vs 11%), for the 165 pts with positive small bowel biopsies in terms of abdominal pain (68% vs 32%), and for the 130 pts with positive colon biopsies and diarrhea (46% vs 33%). Specific histopathological patterns were prognostic. Mucosal involvement (n=161) was an independent risk factor for survival compared to submucosal (n=64) and vascular (n=102) involvement throughout the GI tract (HR 1.83; p=0.03). Three-layer GI infiltration was associated with inferior mOS (2.4 vs 5.1 vs 7.8 y for 3 vs 2 vs 1-layer involvement, HR 3.19/1.56/1; p<0.05). Counterintuitively, vascular involvement had the lowest risk of bleeding in all GI anatomic sites (p=0.02). In the colon, only mucosal involvement was associated with a higher risk of bleeding (OR=5; p=0.04). GI involvement in AL pts did not worsen prognosis (mOS 10.0/6.3y, p=0.02), and pts with isolated GI AL (n=74/13%) had an even better survival (55% surviving at 10 y). Cachexia (n=120; mOS 3.5 vs 7.8 y, p<0.001), need for nutritional support (n=36; mOS 0.9 vs 7.0 y, p<0.001), and diarrhea (mOS 5.8 vs 6.9 y, p=0.06) were risk factors for death. In pts with hematologic response (≥PR), bleeding did not recur within 3 y (n=27), but even with response, diarrhea (n=160) persisted in 39%. Resolution was less frequent without hematologic response (persistence in 69%, OR=3.5). Improvement was most often due to treatment of bacterial overgrowth (11/35 pts; 68%) and loperamide (54/59 pts; 91%). Conclusion In AL, meaningful GI involvement is defined by nausea, diarrhea, occurrence of bleeding, and malnutrition. These are primarily associated with mucosal infiltration. GI symptoms can occur in the face of autonomic involvement. While long-term persistence of GI bleeding is rare after serologic response, cachexia and persistent diarrhea drive morbidity, need for nutritional support, and poor survival.