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Anderson, Larry

0009-0002-2211-3420

Mayo Clinic

The University of Texas Southwestern Medical Center

Citations 6

Multiple Myeloma, Version 5.2026, NCCN Clinical Practice Guidelines In Oncology
Kumar, Shaji K., Adekola, Kehinde , Anderson, Larry , Costello, C. L., D’Angelo, Christopher R. , Elsedawy, Noura, Godara, Amandeep , Godby, Kelly, Hillengass, J, Holmberg, Leona, Htut, Myo , Huff, Carol Ann , Hultcrantz, Malin , Kang, Yubin , Larson, Sarah, Lee, Hans Chulhee, Liedtke, Michaela , Martin, Thomas, Omel, James, Robinson, Timothy J., Rosenberg, Aaron, Sherbenou, Daniel, Suvannasankha, Attaya, Valent, Jason , Varshavsky‐Yanovsky, Asya, Ye, J Christine, Kovach, Emily, Kumar, Rashmi , Kumar, Shaji , Callander, Natalie S. , Baljević, Muhamed , Baz, Rachid , Campagnaro, Erica , Costello, Caitlin , Derman, Benjamin A. , Devarakonda, Srinivas , Hillengass, Jens, Holmberg, Leona , Kang, Yubin , Larson, Sarah, Lee, Hans C. , Rosenberg, Aaron , Sarosiek, Shayna , Schroeder, Mark A. , Sherbenou, Daniel W , Suvannasankha, Attaya , Valent, Jason Neil , Vogl, Dan T. , Kovách, E

Journal of the National Comprehensive Cancer Network | January 8, 2026 | Volume: 24 | Issue: 1 | Pages: No page available

10.6004/jnccn.2026.0001 Get It

The treatment landscape for multiple myeloma (MM) is evolving rapidly and includes several new options. The management must be tailored to the individual. The NCCN Guidelines for MM provide a framework to base decisions regarding diagnosis, workup, treatment, and follow-up of both newly diagnosed and previously treated relapsed/refractory MM. This manuscript outlines the recommendations from NCCN Guidelines for MM specific to newly diagnosed MM (NDMM).
Optimal ferritin threshold to diagnose immune effector cell-associated hemophagocytic syndrome (IEC-HS) following CAR-T therapy in relapsed/refractory multiple myeloma (RRMM)
Lee, Jerry , Jensen, Alexandria , Hosoya, Hitomi , Zanwar, Saurabh , Gaballa, Mahmoud , Khouri, Jack , Goel, Utkarsh , Hovanky, Vanna, Rana, Masooma , Green, Kimberly M , Afrough, Aimaz , Anderson, Larry , Biran, Noa , Shune, Leyla , Ferreri, Christopher, Varga, Cindy , Voorhees, Peter M. , Sborov, Douglas W. , Freeman, Ciara L. , Cassano, Raffaella Cassano , Salva, Karla Feliciano, Peres, Lauren C. , Reid, Brett M. , Patel, Krina, Frank, Matthew J. , Hansen, Doris, Sidana, Surbhi , Shah, Nirali, Mikkilineni, Lekha , Davis, James A. , Sidana, Surbhi , Davis, James A , Hosoya, Hitomi , Pasvolsky, Oren , Dillard, Christen , Raza, Shahzad , Anwer, Faiz , Davis, James, Zolotov, Eli , Herr, Megan M. , Hassan, Hamza , Kort, Jeries , Atrash, Shebli , Fortuna, Gliceida Galarza , Julian, Kelley , Dima, Danai , Banerjee, Rahul , Portuguese, Andrew J. , Locke, Frederick L. , Puglianini, Omar Castañeda , Grajales‐Cruz, Ariel , Jain, Michael D. , Patel, Krina K. , Lin, Yi , Hansen, Doris K. , Shah, Nirali N

Blood | December 5, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 717-717

10.1182/blood-2025-717 Get It

Abstract Background: IEC-HS is a potentially life-threatening complication following CAR-T therapy in RRMM. Reliable diagnostic biomarkers are needed to help expeditiously identify cases to initiate prompt treatment and supportive care. Serum ferritin, a routinely available laboratory parameter, is commonly elevated in IEC-HS and has been used to identify cases. However, ferritin can also be elevated in cytokine release syndrome (CRS) or secondary to baseline tumor-related inflammation. The optimal diagnostic threshold for post-CAR-T ferritin in IEC-HS in RRMM has not been previously established. Methods: This study used data from 15 centers within the US Multiple Myeloma Immunotherapy Consortium to identify the optimal post-CAR-T ferritin threshold to distinguish RRMM patients (pts) with and without a diagnosis of IEC-HS. Receiver operating characteristic (ROC) analysis was used to determine the optimal threshold based on Youden's Index. The performance of the threshold was evaluated overall and stratified by CAR-T product (cilta-cel, ide-cel). Additional analyses included the temporal relationship of peak ferritin and IEC-HS diagnosis, the evaluation of IEC-HS criteria according to ferritin levels, comparison of IEC-HS criteria co-occurrence, and comprehensive baseline characteristic comparisons across ferritin strata. Results: Of 1502 RRMM CAR-T recipients (ide-cel, n=712; cilta-cel, n=790), 74 patients (4.9%) had a provider-determined diagnosis of IEC-HS. A post-CAR-T ferritin threshold of 7470 ng/mL was identified as optimal for distinguishing pts with and without IEC-HS (AUC 0.938). Sensitivity (0.904) and specificity (0.934) were both very high, indicating high discriminatory ability. Stratified ROC analyses showed near-identical optimal thresholds for cilta-cel (7450 ng/mL; sensitivity 0.885, specificity 0.936, AUC 0.94) and ide-cel (7470 ng/mL; sensitivity 0.952, specificity 0.933, AUC 0.95), indicating minimal impact of CAR-T product on ferritin's prognostic utility. Baseline pt characteristics (N=1,413) differed significantly by ferritin threshold. Pts above the ferritin threshold of 7470 (N=154) were younger (median 64 vs 67 years; p=0.004), more frequently male (65% vs 56%; p=0.043), had higher baseline ferritin (1,300 vs 187; p<0.001), higher ECOG at apheresis (p=0.001), more likely penta-refractory (p=0.016), had higher baseline bone marrow plasma cell burden (p<0.001), and had higher R-ISS scores (p<0.001). Evaluation of IEC-HS criteria (Hines et al, TCT 2023) demonstrated significantly higher rates of laboratory and clinical criteria, including hepatic transaminase elevation (43% vs 15%), hypofibrinogenemia (53% vs 0%), cytopenias (95% vs 81%), hypertriglyceridemia (43% vs 8%), ICANS (52% vs 23%), renal insufficiency (20% vs 0%), and soluble IL-2 receptor elevations (47% vs 4%), in pts with ferritin >7500 ng/mL compared to those with lower ferritin. Heatmap visualization revealed distinct patterns of co-occurring criteria in high- and low-ferritin groups. Assessment of the timing of peak ferritin and IEC-HS diagnosis among IEC-HS cases revealed a median difference of 0 days (IQR: -1, 0), suggesting simultaneous occurrence. Median time to max ferritin was 9 days (IQR 8,12) in IEC-HS pts compared to 8 days (IQR 5,10) in non-IEC-HS pts (Wilcoxon p<0.05). Conclusions: In this analysis of over 1500 patients, a post-CAR-T ferritin level of 7500 ng/mL robustly identifies RRMM pts with IEC-HS following either cilta-cel or ide-cel. Pts exceeding this threshold demonstrate marked enrichment in IEC-HS diagnostic criteria and significant differences in baseline characteristics, warranting further study of the role of ferritin in IEC-HS diagnosis and early intervention.
Real-world outcomes of immune effector cell-associated hemophagocytic syndrome (IEC-HS) following ide-cel and cilta-cel therapy in relapsed/refractory multiple myeloma
Lee, Jerry , Jensen, Alexandria , Hosoya, Hitomi , Afrough, Aimaz , Zanwar, Saurabh , Gaballa, Mahmoud , Khouri, Jack , Goel, Utkarsh , Hovanky, Vanna, Rana, Masooma , Green, Kimberly M , Anderson, Larry , Biran, Noa , Shune, Leyla , Ferreri, Christopher, Varga, Cindy , Voorhees, Peter M. , Sborov, Douglas W. , Freeman, Ciara L. , Salva, Karla Feliciano, Cassano, Raffaella Cassano , Peres, Lauren C. , Reid, Brett M. , Patel, Krina, Frank, Matthew J. , Hansen, Doris, Sidana, Surbhi , Shah, Nirali, Mikkilineni, Lekha , Davis, James A. , Sidana, Surbhi , Davis, James A , Hosoya, Hitomi , Pasvolsky, Oren , Dillard, Christen , Raza, Shahzad , Anwer, Faiz , Davis, James P. , Zolotov, Eli , Herr, Megan M. , Hassan, Hamza , Kort, Jeries , Atrash, Shebli , Fortuna, Gliceida Galarza , Julian, Kelley , Dima, Danai , Portuguese, Andrew J. , Banerjee, Rahul , Puglianini, Omar Castañeda , Grajales‐Cruz, Ariel , Jain, Michael D. , Patel, Krina K. , Locke, Frederick L. , Lin, Yi , Hansen, Doris K. , Shah, Nirali N

Blood | December 5, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 719-719

10.1182/blood-2025-719 Get It

Abstract Introduction: IEC-HS is an emerging and potentially life-threatening complication in multiple myeloma (MM) patients (pts) treated with CAR-T therapies. We conducted a retrospective, multi-institutional analysis to define the features and outcomes of IEC-HS after ide-cel or cilta-cel in the real-world setting. Methods: This study used data from 15 centers within the US Multiple Myeloma Immunotherapy Consortium for patients with relapsed/refractory MM (RRMM) who received commercial cilta-cel or ide-cel. IEC-HS was defined by each center based on diagnostic criteria (Hines et al, TCT 2023). Kaplan-Meier and multivariable Cox models were used for time-to-event outcomes while logistic regression was used for categorical outcomes. Results: Of 1502 RRMM pts who received either ide-cel (n=712) or cilta-cel (n=790), 74 patients (4.9%) had a provider-determined diagnosis of IEC-HS. Product-specific incidences were 2.9% for ide-cel and 6.7% for cilta-cel. The median time from CAR-T infusion to IEC-HS onset was 9.5 days (range 2-37 days). IEC-HS-related clinical findings (Hines et al, 2024) included cytopenias (95%), elevated soluble IL-2R levels (79%), fever (76%), elevated LDH (71%, median 1,800 U/L), hypofibrinogenemia (70%), hypertriglyceridemia (65%), ICANS (63%), hepatic transaminase elevation (56%), pulmonary involvement (46%), renal insufficiency (29%), hyperbilirubinemia (22%), and hemophagocytosis in bone marrow (6%). The median interval from peak CRS to IEC-HS onset was 4 days (IQR 1–6). Some variables, such as splenomegaly and coagulopathy, were not systematically collected. Nearly all pts received pharmacologic intervention: corticosteroids (94%, n=59), anakinra (76%, n=48), tocilizumab (71%, n=45), emapalumab (13%, n=8), ruxolitinib (16%, n=10), or etoposide (3%, n=2). Only one pt (2%) did not receive any IEC-HS therapy. Among those evaluable for outcomes, 58% (n=35) improved, 12% (n=7) developed further CAR-T-related complications (e.g., recurrent IEC-HS, delayed neurotoxicity), and 30% (n=18) had no therapeutic response and died. Compared to non-IEC-HS pts (n=1,428), those with IEC-HS were younger (median age 63 vs 66), male (61% vs 57%), and more frequently received cilta-cel (72% vs 52%, all p<0.01). They had higher rates of triple-class (81%) and penta-refractory (43%) disease, greater pre-treatment bone marrow plasma cell burden (40% vs 6%), and higher baseline ferritin (1058 vs 208 ng/mL). Prior autologous SCT was less common, and advanced R-ISS stage was more prevalent. IEC-HS was associated with dramatically worse PFS and OS: with cilta-cel, median PFS was 6.5 months (mo) with IEC-HS (vs 33.1 without); for ide-cel, 8.9 vs 11.4 mo. Median OS for cilta-cel IEC-HS pts was 9.6 mo (not reached in non-IEC-HS pts); for ide-cel IEC-HS, 19.6 mo (vs 40.8 mo). Multivariable analysis confirmed IEC-HS as an independent predictor of shorter PFS (HR 1.88, 95% CI 1.29–2.74, p=0.0011) and OS (HR 2.30, 95% CI 1.39–3.83, p=0.0013). Notably, IEC-HS was not associated with lower response rates – either best CR (63.9% vs 64.0%, p=0.71) or ORR (91.8% vs 90.9%, p=0.97). Cilta-cel pts had a higher probability of achieving a deep (CR) response, regardless of IEC-HS status. Grade > 3 CRS occurred in 14% (n=3/21) of ide-cel and 15% (n=8/52) of cilta-cel IEC-HS pts, versus 2% (n=12/691) and 2% (n=13/737) in non-IEC-HS pts, respectively. Any-grade ICANS was observed in 67% (n=14/21) of ide-cel and 55% (n=29/52) of cilta-cel IEC-HS cases, compared to 26% (n=179/690) and 20% (n=148/738) in non-IEC-HS. Grade ≥3 ICANS occurred in 29% (n=6/21) of ide-cel and 26% (n=14/52) of cilta-cel IEC-HS cases, relative to 4% (n=25/690) and 4% (n=27/738) in pts without IEC-HS. Severe infections were also more common: 71% (n=15/21) of ide-cel and 53% (n=28/52) of cilta-cel IEC-HS pts experienced at least one infection, compared to 31% (n=214/691) and 29% (n=217/737) in non-IEC-HS groups. Conclusions: IEC-HS is an uncommon but severe and early complication after CAR T-cell therapy for RRMM. Despite similar ORRs with or without IEC-HS, IEC-HS was associated with significantly worse PFS and OS for both ide-cel and cilta-cel. These findings support the need for vigilant monitoring and potential preemptive treatment strategies to better manage this syndrome.
Enhancing the safety of ciltacabtagene autoleucel in relapsed multiple myeloma (MM): Identification of potentially modifiable risk-factors associated with delayed neurotoxicity and non-relapse mortality
Sidana, Surbhi , Reid, Brett M. , Peres, Lauren C. , Gaballa, Mahmoud , Afrough, Aimaz , Ferreri, Christopher, Varga, Cindy , Rana, Masooma , Hosoya, Hitomi , Mikkilineni, Lekha , Hovanky, Vanna, Zanwar, Saurabh , Kalariya, Nilesh, Mikulski, Damian , Wagner, Charlotte , Cahoon, Christopher, Avila, Gabriel De, Gordillo, Christian , Goel, Utkarsh , Sannareddy, Aishwarya , Cassano, Raffaella Cassano , Midha, Shonali , Gonzalez, Rebecca , Hassan, Hamza , Purvey, Sneha , Green, Kimberly , Liu, Hien , Khouri, Jack , Bal, Susan , Freeman, Ciara L. , Shune, Leyla , Shain, Kenneth H. , Alsina, Melissa , Sborov, Douglas W. , Dahiya, Saurabh , Miklos, David B., Voorhees, Peter M. , Anderson, Larry , Costa, Luciano da Fontoura , Biran, Noa , Kumar, Shaji , Lin, Yi, Patel, Krina K. , Davis, James A. , Sidana, Surbhi , Davis, James A , Hosoya, Hitomi , Dima, Danai , Banerjee, Rahul , Pasvolsky, Oren , Dillard, Christen , Atrash, Shebli , Portuguese, Andrew J. , Wagner, Charlotte, Puglianini, Omar Castañeda , Zolotov, Eli , Grajales‐Cruz, Ariel , Kort, Jeries , Davis, James, Herr, Megan M. , Xie, Zhuoer , Hassan, Hamza, Geer, Marcus , Green, Kimberly, Perna, Fabiana , Nishihori, Taiga , Raza, Shahzad , Anwer, Faiz , Nadeem, Omar , Reshef, Ran , Baz, Rachid , Locke, Frederick L. , Miklos, David B. , Costa, Luciano, Biran, Noa , Hansen, Doris K.

Blood | December 4, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 1034-1034

10.1182/blood-2025-1034 Get It

Abstract Introduction: Ciltacabtagene autoleucel (cilta-cel) has shown high efficacy in relapsed MM, but further efforts are needed to mitigate non-ICANS delayed neurotoxicity (DNT) and non-relapse mortality (NRM). Identifying risk factors associated with DNT and NRM may help with risk mitigation by aiding the development of interventions for potentially modifiable risk factors and also help with clinical decision making. Methods: In this multi-center retrospective study from the US MM Immunotherapy Consortium, we evaluated 761 patients treated at 15 centers receiving standard of care cilta-cel for relapsed MM between May 2022 to December 2024. Risk factors for DNT, particularly Parkinsonism and NRM were evaluated in by univariable and multivariable analysis. Any NRM events occurring after disease progression were censored for NRM evaluation. Results: The median age of the cohort was 65 years old (range: 30-88), median prior lines of therapy (pLoT) were 5 (range: 1-23). Cilta-cel was used in earlier relapse (1-3 pLOT) in 16% (n=120) patients. High-risk cytogenetics [del 17p, t(14;16) or t(4;14)] were present in 39%, with extramedullary disease (EMD) in 27% and R-ISS stage III in 18% of patients, respectively. Majority of patients (86%) received bridging therapy with response to bridging (≥ partial response, PR) seen in 33% of patients, respectively. Median follow up was 10.1 months, with response rate of 92% and CR rate of 70%. DNT was seen in 10% (n=75) of patients, with distribution as follows: Parkinsonism in 2.9% (n=22), cranial nerve palsy in 4.6% (n=35) and other DNT in 2.4% (n=18), with some patients manifesting more than one type of DNT. Risk of DNT was higher in patients who did not respond to bridging therapy (Any DNT: 12% vs 6%; Parkinsonism: 5% vs 0.5%, both p<0.05) Of the 22 cases of Parkinsonism, 21 patients (95%) did not respond to bridging, even though they achieved a post CAR-T response with ORR of 91% and ≥ CR in 68%. Absolute lymphocyte count (ALC), a surrogate measure of CAR expansion was higher in patients who developed DNT, particularly Parkinsonism, including ALC at days 7,14,21,28 and as peak ALC in the first month post cilta-cel (p<0.05 for all). Median peak ALC for patients with vs without Parkinsonism was: 5.88 vs 1.17/uL (p<0.001). We evaluated risk of Parkinsonism with various thresholds of peak ALC expansion. Amongst patients who developed Parkinsonism vs. not, peak ALC was as follows, > 1000/uL: 100% vs 57%, > 2500/uL: 73% vs 19% and > 3000/uL: 68% vs 14% (all p<0.001). The absolute risk of Parkinsonism with ALC > 3000 vs ≤ 3000/uL was 12% vs 1%, p<0.001; for ALC 2500 vs ≤ 2500uL was 9% vs 1%, p<0.001. On multivariable analysis, peak ALC > 3000/uL (OR: 12.7, p<0.001) and non-response to bridging therapy (OR: 9.9, p=0.03) were independent risk factors for developing Parkinsonism after cilta-cel. After cilta-cel, 1 and 2 year NRM estimates were 9% and 10%, respectively. Amongst 63 (8%) patients experiencing NRM events, the most common cause of NRM was infectious complications (35, 56%), followed by acute immune-mediated adverse events (AEs) like CRS, ICANS, IEC-HS in 14 (22%), delayed immune mediated AEs like DNT and colitis in 6 (9.5%), second cancers in 5 (8%) and other causes in 3 (5%) patients, respectively. When evaluating the timing of NRM events, the risk of infection related mortality remained relatively stable in the first year, though immune mediated toxicty deaths were uncommon after 6 months, while SPMs were uncommon within the first 6 months. On multivariable analysis, non-response to bridging (HR 2.41, p=0.046), poor performance status ≥ 2, high-risk cytogenetics and age ≥ 70 years were independent predictors for NRM. Conclusion: In a large cohort of over 750 patients receiving cilta-cel, we identified potentially modifiable risk factors for Parkinsonism and NRM. Non-response to bridging therapy and peak ALC > 3000/uL were independent predictors of developing Parkinsonism. Peak ALC of > 2500/uL and > 3000/uL were associated with 9% and 12% absolute risk of Parkinsonism. This indicates that peak ALC of 2500/uL or 3000/uL in the first month after cilta-cel may be a potential biomarker to identify patients for pre-emptive interventions such as steroids that can suppress rapid CAR expansion and perhaps decrease the risk of Parkinsonism. In addition, we need to focus on effective bridging strategies to further decrease the risk of Parkinsonism, as well as NRM with cilta-cel.
NCCN Guidelines® Insights: Multiple Myeloma, Version 1.2025
Kumar, Shaji , Adekola, Kehinde , Anderson, Larry , Costello, Caitlin , D’Angelo, Christopher R. , Derman, Benjamin A. , Elsedawy, Noura, Godara, Amandeep , Godby, Kelly, Hillengaß, Jens , Holmberg, Leona , Htut, Myo , Huff, Carol Ann , Hultcrantz, Malin , Larson, Sarah , Liedtke, Michaela , Omel, James, Robinson, Timothy, Valent, Jason , Varshavsky‐Yanovsky, Asya, Kovách, E, Holmberg, Leona , Anderson, Larry D. , Anderson, Larry D , Derman, Benjamin A , Callander, Natalie S. , Baljević, Muhamed , Baz, Rachid , Campagnaro, Erica , Devarakonda, Srinivas , Kang, Yubin , Lee, Hans C. , Martin, Thomas G. , Rosenberg, Aaron , Schroeder, Mark A. , Sherbenou, Daniel W , Suvannasankha, Attaya , Valent, Jason Neil , Vogl, Dan T. , Kovach, Emily, Kumar, Rashmi

Journal of the National Comprehensive Cancer Network | May 8, 2025 | Volume: 23 | Issue: 5 | Pages: 132-140

10.6004/jnccn.2025.0023 Get It

The NCCN Guidelines for Multiple Myeloma (MM) provide recommendations for diagnosis, initial workup, treatment, follow-up, and supportive care for patients with MM. These NCCN Guidelines Insights highlight the important updates and changes specific to systemic therapy for patients with newly diagnosed as well as previously treated MM included in Version 1.2025 of the NCCN Guidelines for MM.