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Mayo Clinic

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Live imaging of human xenogeneic CART cells in a clinical trial of companion dogs with lymphoma
Abel, Alex , Wierson, Wesley A. , Stewart, Carli M. , Mai, Long, Yun, Kun , Ruiz, Omar Gutierrez, Xia, Hong , Ogbodo, Ekene J. , Sirpilla, Olivia , DeFranco, Grace , Goldberg, Sophia , Saleh, Ateka, Foote, Sara, Skeele, Dominic, Yamaguchi, Yoh, Fonkoua, Lionel Aurelien Kankeu , Torghabeh, Mehrdad Hefazi, Gutierrez-Ruiz, Omar L. , Siegler, Elizabeth L. , Huynh, Truc, Stewart, Carli , Kimball, Brooke , Feigin, Jennifer M. , Roman, Claudia Manriquez , Can, Ismail, Xia, Hong, Saleh, Ateka, Foote, Sara, Yamaguchi, Yoh, Hefazi, Mehrdad , Sakemura, Reona , Bryan, Jeffrey N. , Kenderian, Saad S.

Blood | December 5, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 4105-4105

10.1182/blood-2025-4105 Get It

Abstract Chimeric antigen receptor T (CART) cell therapy is potentially curative in certain hematological malignancies, resulting in several FDA approvals since 2017. However, widespread adoption is limited by 1) cost and complexity of an autologous platform, 2) severe toxicities, and 3) limited durable remissions. To better predict CART efficacy and toxicity, live CART imaging would allow the realtime assessment of in vivo CART expansion and trafficking. Incorporation of the sodium iodide symporter (NIS)in CART cells (NIS+ CART cells) allows the CART cells to be tracked via PET imaging at high sensitivity. PET signal correlates with CART expansion and toxicity in mouse models (PMID: 34244299). Building on this platform, we aimed to track xenogeneic CART cells to monitor for their rejection, utilizing dogs with spontaneous lymphoma. Canine diffuse large B-cell lymphoma (DLBCL) affects over 250,000 dogs a year and has shared pathologic, biologic, phenotypic, genetic, immunotherapeutic targets, and treatment responses with human DLBCL, providing strong rationale for studying canine lymphoma as a pre-clinical model. We therefore initiated a USDA-CVB regulated pilot study and treated companion dogs with naïve canine CD20 (cCD20)+ DLBCL with human-derived TRAC- and B2M-KO NIS+ CART cells which targeted cCD20. First, we tested and optimized a chemotherapy regimen to achieve optimal lymphodepletion in dogs. Healthy beagles were treated with pentostatin (pen) on days 2-4 (0.125, 0.25, or 0.5 mg/kg i.v.), cyclophosphamide (cy) on day 4 (400 mg/m2 i.v.), or combination cy/pen. The most robust decrease in lymphocytes was seen with combination cy/pen (all cy/pen doses vs all other treatments, p≤0.0001) and in neutrophils with cy or cy/pen (all cy/pen doses vs all pen doses, p≤0.0001; cy vs 0.25 mg/kg pen, p≤0.001; cy vs 0.5 mg/kg pen, p≤0.0001). All lymphodepletion was transient and recovered within two weeks. All regimens were well-tolerated, and we therefore used 0.5 mg/kg pen plus 300 mg/m2 cy for the companion dog pilot study. Next, we assessed the feasibility of generating cCD20-targeted NIS+ human CART cells (CART20-NIS) with double KO (DKO) of TRAC and B2M. Primary T cells from healthy human donors were transduced with bicistronic lentivirus encoding 41BB-costimulated cCD20-targeted CAR and NIS. Two days after transduction, cells were transfected with CRISPR Cas9-gRNA targeted to TRAC and B2M. The resulting CART20-NIS DKO cells were expanded until day 11 and then were further depleted for CD3 and cryopreserved. CART20-NIS DKO cells demonstrated high CAR expression (untransduced T cells (UTD) vs CART20-NIS DKO, p<0.0001) and KO efficiency (TCRαβ and HLA-ABC expression of UTD vs CART20-NIS DKO, p<0.0001). NIS functionality was confirmed via a qualitative in vitro I-125radioactive uptake assay. We then assessed antigen specificity and activity in vitro. CART20-NIS DKO or UTD were co-cultured with either wildtype or cCD20-overexpressing K562 cells for three days. Target cell killing was then quantified via flow cytometry. CART20-NIS DKO cells demonstrated significant cytotoxicity against cCD20+ K562 cells (UTD vs CART20-NIS DKO, p<0.0001). Lastly, we treated two companion dogs in a USDA-CVB regulated pilot study of CART20-NIS DKO cells in naïve cCD20+ DLBCL. Following lymphodepletion on days -5 to -3, on day 0, dogs were i.v. administered 1 x 108 CART20-NIS DKO cells and intratumorally administered 2.5 x 107 CART20-NIS DKO cells in two lymph nodes, with contralateral saline injection as controls. Dogs underwent 18F-TFB-PET imaging on days 1, 3, and 7, which showed evidence of CART20-NIS DKO cells both in the CART-injected lymph nodes and distal lymph nodes, as determined by SUVmax. Both dogs sustained clinical remission for the duration of the 21-day study, as determined by sum of longest diameters and accompanying x-ray radiology and abdominal ultrasound. Histology showed marked reduction of CD20 cells in the lymph nodes. Organ and hematological toxicities were minimal, and dogs remained in remission for 95 and 101 days post-CART. In summary, this study demonstrated that xenogeneic CART cells were well-tolerated, induced remission, and were visualized via PET imaging in companion dogs with lymphoma. These results are promising both for the treatment of companion dogs with novel cell therapies and for the translation of novel CART cell therapies into human clinical trials.
Beyond Diagnosis: Aerosol Viral Monitoring to Transform Epidemic Responses
Zhou, Peng , Xu, Yingming, McElroy, Amber N., Osborn, Mark J., Dababneh, Al, Palraj, Raj, Moschou, Despina, Pourzand, Charareh, Ellis, David A., Zhang, Dingguo, White, Ian H., Cui, Tianhong, Cui, Tianhong , Zhou, Peng , Xu, Yingming, McElroy, Amber N. , Osborn, Mark J., Dababneh, Al, Palraj, Raj, Moschou, Despina C. , Pourzand, Charareh , Ellis, David A., Zhang, Dingguo, White, Ian H., Cui, Tianhong

Research | December 5, 2025 | Volume: 9 | Issue: No issue available | Pages: No page available

10.34133/research.1059 | PMID 41509127 Get It

Aerosol viral transmission monitoring enables early, noninvasive detection of infectious disease spread by identifying airborne viral particles in shared environments. Integrating sampling, sensing, and data analysis, this perspective outlines an integrated framework for transforming epidemic responses from reactive testing to proactive surveillance. It synthesizes current technological advances and deployment experiences to identify key challenges in detection efficiency, data management, and societal trust. This marks a shift from clinical diagnosis to environmental surveillance, transforming epidemic responses from testing individuals to monitoring shared air. By enabling earlier interventions, these systems help reduce transmission, protect vulnerable groups, and limit disruptions to daily life and the economy.
Real-world (RW) outcomes of newly diagnosed multiple myeloma (NDMM) patients (pts) treated with front-line daratumumab (dara), bortezomib (bor), lenalidomide (len) and dexamethasone (dex) (DVRd)
Menezes, Ricardo de, Sledge, Hanna, Yadav, Kanika, Nayyar, Moez, Kapoor, Prashant , Sher, Taimur , Abdallah, Nadine , Lin, Yi, Flott, Caitlin, Yadav, Udit , Warsame, Rahma , Wiedmeier, Julia E. , Kourelis, Taxiarchis , Fernandez, Andre, Kumar, Shaji, Chanan‐Khan, Asher , Wiedmeier-Nutor, Julia E , Parrondo, Ricardo D , Menezes, Ricardo de, Nayyar, Madhavi, Bergsagel, P. Leif , Fonseca, Rafaël , Buadi, Francis K. , Gertz, Morie A. , Dispenzieri, Angela , Roy, Vivek , Binder, Moritz , Chhabra, Saurabh , Rajkumar, S. Vincent , Gonsalves, Wilson I. , Cook, Joselle , Dingli, David , Muchtar, Eli , Leung, Nelson , Siddiqui, Mustaqeem , Kumar, Shaji , Ailawadhi, Sikander

Blood | December 5, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 4585-4585

10.1182/blood-2025-4585 Get It

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 >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<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<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.
Evolution of expert and healthcare professional treatment recommendations in the management of Mantle Cell Lymphoma
Williams, A. W., Rosenthal, Kristen, Ansell, Stephen, Quill, Timothy A., Flinn, Ian W. , Kahl, Brad S. , Phillips, Tycel , Vose, Julie M.

Blood | December 5, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 4650-4650

10.1182/blood-2025-4650 Get It

Abstract Background: Recent approvals and clinical trials have established covalent BTK inhibitors (BTKis), including ibrutinib, acalabrutinib, and zanubrutinib, as effective agents for the treatment of mantle cell lymphoma. Multiple BTKi-based regimens are recommended by experts and clinical guidelines in both the first-line and later-line settings. Additional approvals of the noncovalent BTKi pirtobrutinib and multiple CAR T-cell therapies have also advanced the management of patients who have progressed on covalent BTKi therapy. In light of these developments in treatment strategies for mantle cell lymphoma (MCL), this study compares trends in treatment choice among experts and healthcare professionals (HCPs) in an online treatment decision support tool. Methods: An online decision support tool, developed with 5 US-based experts in MCL, was launched in April 2023 and updated in April 2025. The tool provided treatment recommendations for various clinical scenarios involving newly diagnosed (ND) or relapsed/refractory (R/R) MCL, incorporating factors such as age, fitness, previous therapies, and response duration. HCPs entered specific patient characteristics along with their intended treatment choice. The tool then displayed expert recommendations for that scenario, and HCPs were asked whether these recommendations influenced their treatment decision. HCP-entered data and expert recommendations were analyzed to identify common trends and divergence in current BTKi therapy use. Results: The 2023 online tool was used by 119 HCPs who entered 148 patient scenarios, and the 2025 online tool was used by 69 HCPs who entered 96 patient scenarios. In 2023, for patients with ND MCL who had later-stage disease or were not eligible for radiation therapy (n = 75), 64% of expert-recommended treatments included BTKis, with the ECHO and TRIANGLE regimens representing 12% and 17% of recommendations, respectively. In 2025, 81% of expert recommendations were BTKi-based regimens, with ≥3 experts recommending a BTKi regimen in 66 of 67 unique ND case scenarios. The ECHO and TRIANGLE regimen each represented 28% to 29% of expert recommendations. In addition, 51% of recommendations for patients with 17p deletions or TP53 mutations consisted of the BOVen regimen. The percentage of HCPs who indicated that they were considering a BTKi-based regimen in the setting of ND MCL was 17% (13 of 75 ND cases) in 2023 and 66% (44 of 67 ND cases) in 2025. The use of both the ECHO and TRIANGLE regimens by HCPs increased from 5% and 4%, respectively, in 2023 to 19% for each in 2025. In 2025, 6% of HCPs considered the BOVen regimen for patients with TP53 mutation (n = 17). In 2023 and 2025, approximately 50% of the HCP-entered patient cases for previously treated MCL had not received a BTKi (n = 48 and n = 18, respectively). For these scenarios, 94% and 98% of expert recommendations consisted of covalent BTKis in 2023 and 2025, respectively. HCPs selected covalent BTKis for 68% of cases in 2023 and 89% of cases in 2025. For patients with R/R MCL previously treated with a BTKi, CAR T-cell therapy represented 36% of expert recommendations in 2023 (23 scenarios) and 60% in 2025 (18 scenarios). By contrast, 4% and 11% of HCPs considered CAR T-cell therapy for these patients in 2023 and 2025, respectively. For HCPs reporting on the tool's clinical impact (n = 96), 35% indicated expert recommendations changed their intended therapy, 41% stated their treatment plan matched the recommendations, 10% cited barriers to implementing recommendations, and 14% remained undecided on optimal treatment. Conclusions:This analysis highlights the ongoing adoption of expert-recommended treatments into real-world clinical practice. Our data suggest that expert and HCP use of BTKi therapy in the ND MCL setting has increased in recent years. In R/R MCL, CAR T-cell therapy appears to be considered infrequently by HCPs. Barriers to implementation of expert recommendations warrant further investigation. Enhanced decision support tools and targeted educational initiatives could help increase the use of expert treatment recommendations and potentially improve patient outcomes.
Anti-CD19 Chimeric Antigen Receptor T-Cell Therapy for Transformed Waldenström Macroglobulinemia/Lymphoplasmacytic Lymphoma: a DESCAR-T Registry and International Collaborative Study
Durot, Éric , Kanagaratnam, Lukshe , Choquet, Sylvain , Dupuis, Jehan, Gastinne, Thomas , Forsberg, Peter A. , Chauchet, Adrien , Blasi, Roberta Di , Bensaber, Hedi , Jacquet, Caroline, Guidez, Stéphanie , Gros, François‐Xavier , Bussot, Lucile, Chevreux, Steeve, Brisou, Gabriel , Campidelli, Arnaud , Gat, Elodie, Kyriakou, Charalampia , Treon, Steven, Kapoor, Prashant , Sesques, Pierre , Gyan, Emmanuel , Decroocq, Justine , Jacquet, Caroline, Cheminant, Morgane , Hueso, Thomas , Gat, Elodie, Ferrero, Simone , Frustaci, Anna Maria , Varettoni, Marzia , Treon, Steven P. , Reshef, Ran , Castillo, Jorge J. , Bachy, Emmanuel , Houot, Roch , Roos-Weil, Damien

Blood | December 5, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 5490-5490

10.1182/blood-2025-5490 Get It

Abstract Introduction: The prognosis of patients (pts) with histological transformation (HT) of Waldenström macroglobulinemia (WM) remains dismal with standard chemoimmunotherapy. CD19-targeted chimeric antigen receptor T-cell therapies (CAR-T) can lead to durable responses in relapsed/refractory (R/R) large B-cell lymphoma (LBCL) and are approved in the second or third line settings. Pts with HT-WM were largely excluded from CAR-T trials. We previously reported high response rates in a series of 23 pts. The aim of the present study was to evaluate a larger cohort of pts with R/R HT-WM treated with CAR-T with a longer follow-up. Methods: We performed a multicenter retrospective study of pts with biopsy-proven transformed WM/lymphoplasmacytic lymphoma treated with CAR-T in the French DESCAR-T registry (NCT04328298), 4 centers from ECWM and 4 US centers. This study includes updated data from previously published cases (Durot et al, Blood, 2024). Responses were assessed according to the Lugano 2014 criteria. Cytokine release syndrome (CRS) and immune effector cell-associated neurotoxicity syndrome (ICANS) were graded according to the ASTCT 2019 consensus criteria. Hematological toxicity and infections were graded according to the NCI CTCAE (version 5.0). Progression-free survival (PFS) and overall survival (OS) were calculated from the date of CAR-T infusion and estimated using the Kaplan-Meier method. Results: 50 pts were included (39 from DESCAR-T centers, 7 from US centers and 4 from ECWM centers). Median age was 60 (range: 32-72) and 68 (range: 42-82) years at WM diagnosis and CAR-T infusion, respectively. MYD88L265P and CXCR4 mutations were present in 79% (23/29) and 15% (2/13) of patients with available data, respectively. The median time from WM to HT diagnosis was 5.3 years (range: 0-32). Median prior lines of therapy was 1 (range: 0-9) for WM and 2 for HT (range: 0-4). Twenty (40%) pts previously received a BTK inhibitor for WM or HT, 12 (24%) underwent prior autologous SCT and 1 pt allogeneic SCT. 40% of pts presented primary refractory disease and 44% were refractory to last treatment before CAR-T. 40 pts (80%) received bridging therapy, of whom 17 (44%) responded (7 complete responses (CR)). 35 (70%), 10 (20%), and 5 (10%) pts received axicabtagene ciloleucel (axi-cel), tisagenlecleucel (tisa-cel), and lisocabtagene maraleucel (liso-cel), respectively. The best overall response rate (ORR) was 94%, with 44 (88%) pts reaching CR. With a median follow-up of 25.7 months (range: 1-69) from CAR-T infusion, the median PFS was 1.2 years (95% CI: 0.5-4.5) and median OS was 4.2 years (95% CI: 1.2-not reached). Median duration of response was 1.5 years (95% CI: 0.4-4.4), with a median of 4 years (95% CI: 1.5-NR) for pts still in CR at 6 months after CAR-T. 22 pts experienced relapse/progression after CAR-T, 19 related to LBCL and 3 to WM. Median survival after relapse was 7.9 months (95% CI: 3.8-25.3). At LBCL relapse after CAR-T, salvage therapy consisted of CD20xCD3 bispecific antibodies for 9 pts, lenalidomide +/- anti-CD20 or anti-CD19 antibody for 6 pts, and BTKi for 3 pts. Among 19 pts who died, 14 (74%) were due to progressive disease and 5 (26%) from infections. 37 (76%) pts experienced CRS, including 2 (4%) grade 3 events, and 22 (45%) had ICANS, with 2 (4%) ≥ grade 3 events. 17 (35%) pts presented infections, including 12 ≥ grade 3. 21 (43%) pts developed ≥ grade 3 prolonged cytopenias (ie, not resolved within 30 days post infusion). CNS involvement due to LBCL was present in 11 pts (22%) at the time of CAR-T. 6 of them had ICANS, with 1 grade 4. The best ORR was 91% (best CR 91%). Only 1 patient did not obtain a response, with stable disease at 1 month and progression at 3 months. The median PFS was 1.2 year (95% CI: 0.2-NR) and median OS was NR (95% CI: 0.5-NR). On univariate analysis, only elevated LDH was correlated with worse PFS (HR 2.5, p=0.04) and OS (HR 3.3, p=0.04). Other variables, including number of prior lines of therapy, MYD88 mutation status, primary refractory disease, refractory to last treatment, CNS involvement before CAR-T, response after bridging therapy and type of CAR-T received, were not associated with inferior PFS or OS. Conclusion: This cohort represents the largest series of pts with transformed WM treated with anti-CD19 CAR-T. We confirm the high efficacy previously reported with an acceptable safety profile, including for pts with CNS involvement due to LBCL at CAR-T infusion.
Large language model for abstraction of CAR-T therapy toxicities data
Joseph, Kayla, Corraes, Andre De Menezes Silva, Guzman, Emmanuel Contreras, Tan, Melinda, Shaw, Monica, Mclean, Jody, Riester, Kimberly, Jankowski, Matthew, Bruno, Ramona, Holmes, Lucy, Burgstahler, Allison, Bennani, N. Nora, Gertz, Morie, Hampel, Paul, Kapoor, Prashant, Kenderian, Saad, Khurana, Arushi, Kourelis, Taxiarchis, Leung, Nelson, Shah, Mithun, Warsame, Rahma, Durani, Urshila, Kumar, Shaji, Ansell, Stephen, Alkhateeb, Hassan, Hathcock, Matthew, Wang, Yucai, Johnston, Patrick, Paludo, Jonas, Lin, Yi, Joseph, Kayla, Corraes, Andre De Menezes Silva, Guzman, Emmanuel Contreras, Tan, Melinda, Shaw, Monica, Mclean, Jody, Riester, Kimberly, Jankowski, Matthew, Bruno, Ramona, Holmes, Lucy, Burgstahler, Allison, Bennani, N. Nora, Gertz, Morie, Hampel, Paul, Kapoor, Prashant, Kenderian, Saad, Khurana, Arushi, Kourelis, Taxiarchis, Leung, Nelson, Shah, Mithun, Warsame, Rahma, Durani, Urshila, Kumar, Shaji, Ansell, Stephen, Alkhateeb, Hassan, Hathcock, Matthew, Wang, Yucai, Johnston, Patrick, Paludo, Jonas, Lin, Yi

Blood | December 5, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 6139-6139

10.1182/blood-2025-6139 Get It

Abstract Introduction: Reporting patient outcomes by CAR-T treatment centers is part of the accreditation requirement under the FACT (Foundation for Accreditation of Cell Therapy) Immune Effector Cell (IEC) Program standard. Currently, this is a time-consuming and manual process, making it increasingly difficult to sustain with the growing CAR-T applications and patient volume. The objective of this study is to evaluate how a Large Language Model (LLM) can be used to automate the abstraction and summarization of medical record for CAR-T toxicities. Methods: Clinical data from patients treated with CAR-T between January 2018 and June 2025, including hematology clinical notes, lab results, flowsheets, vital signs, and medication administration record, were used as the source of patient information. The American Society of Transplant and Cell Therapy (ASTCT) CAR-T toxicity grading guideline for cytokine release syndrome (CRS) and immune effector cell associated neurologic syndrome (ICANS) were used to define these toxicities. With the large context window of the LLM (Gemini 2.5 pro), we created a prompt by embedding both the patient data and the ASTCT guidelines for CRS and ICANS, along with an outline of specific information we aimed to abstract from the data. Additionally, the LLM was instructed to provide contextual justification for the data it extracted from patient information. The LLM-generated output included event onset date, resolution date, maximum grade, date of maximum grade, and medications given for management. The CRS and ICANS outcome reports generated by the LLM were then compared to the IEC compliance program data. Any discrepancies identified were reviewed manually. Results: Among patients (pt) treated with CAR-T in the specified timeframe, 47 were selected as training cohort. This cohort included pt with toxicities events, no events, and a mix of events of varying grades. For the test cohort, 66 pts who received CAR-T from March to June 2025 were included. Demographics for the training and test cohorts are reflective of evolving clinical practice (training, test cohorts: median age 69, 65; male 55%, 74%; lymphoma/leukemia 66%, 48%; multiple myeloma 34%, 52%; CD19 CAR-T 46%, 50%). Compared to data from the IEC compliance program, the LLM-generated summaries for CRS events demonstrated an accuracy of 90%, precision 95%, sensitivity 100%, specificity 80%, F1 score 97%, and Matthew's correlation coefficient 87%. For ICANS event, the LLM achieved an accuracy of 91%, precision 92%, sensitivity 92%, specificity 90%, F1 score 92%, Matthew's correlation coefficient 83%. Maximum grade, for both CRS and ICANS, were identified with >90% accuracy. However, dates for CRS and ICANS were less accurate, with the lowest accuracy noted in identifying the event resolution date, 45% for CRS and 67% for ICANS. Medical records were reviewed for all discrepancies between the LLM and the IEC Compliance Program data. The most common discrepancy was a mismatch in event resolution date, determined to be due to differing criteria used by the compliance team and the LLM prompt. Of note, a few discrepancies were attributed to missed information by the IEC Compliance Team, which was correctly identified and categorised by the LLM. An updated LLM prompt (LLMv2) was developed and applied to the test cohort. In version 2, the prompt was revised to include clearer instructions on how to summarize CRS and ICANS events, as well as new instructions on additional data elements to be summarized. The performance of LLMv2 on this cohort for CRS event identification was 100% across all categories (accuracy, precision, sensitivity, specificity, F1 score, and Matthew's correlation coefficient). For ICANS the LLMv2 achieved accuracy of 96%, precision 69%, sensitivity 100%, specificity 93%, F1 score 82%, Matthew's correlation coefficient 80%. Accuracy in identifying event resolution date improved significantly from 64% to 99%. Conclusions: Our study demonstrates that LLMs can significantly reduce the time required to abstract and summarize CAR-T toxicities, while maintaining high accuracy. One limitation of our study is that it is based on data from a single institution. However, plans are already underway to evaluate the use of LLMs in a multi-institutional setting.
RUNX1 mutations and outcomes in Acute Myeloid Leukemia: A public data-based analysis framing racial disparities in genomic risk
Thukral, Jatin , Tajiknia, Vida , Jajja, Salman Ayub, Gopu, Sooraj Srirangadhamu , Lussier, Amanda, Chandani, Kanishka Uttam, Ansari, Hamza Sohail, Alkasabrah, Omar , Thukral, Nikhil, Kaur, Harbir, Ansari, Hamza Sohail, Nadeem, Ahmed

Blood | December 5, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 7007-7007

10.1182/blood-2025-7007 Get It

Abstract Background: RUNX1 mutations are established high-risk features in acute myeloid leukemia (AML), associated with poor response to induction therapy and reduced overall survival (OS). Current prognostic models, including the ELN 2022 classification, incorporate RUNX1 mutation status but are based largely on cohorts of European ancestry. This raises concerns about their generalizability to underrepresented populations, particularly African American patients, who continue to experience worse outcomes in AML across treatment settings. Methods: We analyzed publicly available datasets, including TCGA-LAML, Beat AML, and a recent multi-omic study of 100 African American AML patients (Stiff et al., Nat Genet 2024). We evaluated RUNX1 mutation frequency, OS outcomes, and co-mutation patterns, stratified by race. To contextualize survival differences by ancestry, we performed a survival analysis of adult AML patients using the SEER 17 registries (2010–2020), accessed through SEER*Stat. Kaplan-Meier estimates and median OS were compared by race using disease-specific survival. Results: RUNX1 mutations were present in approximately 10–15% of AML cases and consistently associated with inferior OS (median 16–24 months) in both de novo and AML-MRC subsets. Co-mutations in DNMT3A and TET2 further worsened the prognosis. In the African American cohort described by Stiff et al., the frequency of RUNX1 mutations was similar to that in White patients; however, African American patients showed enrichment for IDH2, RAS, and WT1 mutations and lower incidence of NPM1 mutations. Despite comparable mutation rates, African American patients demonstrated significantly worse OS, even under standardized treatment. SEER 17 survival analysis of 5,932 AML cases (683 African American) confirmed shorter median OS in African American patients compared to non-African American patients (10.4 vs. 15.7 months, p<0.01).Conclusions: RUNX1 mutations confer adverse prognosis in AML, but current risk models may not adequately reflect risk in African American patients due to differing co-mutation patterns and underrepresentation in genomic datasets. These findings highlight the need for ancestry-aware risk stratification and inclusive genomic profiling to reduce disparities in AML outcomes. References: Lew-Derivry et al. Leukemia. 2023 Jalili et al. PMCID: PMC5980915 Stiff et al. Nat Genet. 2024 Bhatnagar et al. PMCID: PMC7933110 Tang et al. Blood. 2009 Mendler et al. JCO. 2012 He et al. Scand J Clin Lab Invest. 2020 Döhner et al. Blood. 2022. PMID: 35926292
Non-CLL-type MBL and chip are associated precursor conditions: Insights from Mayo Clinic's MBL screening cohort
Yao, Yuan , Shanafelt, Tait D. , Hampel, Paul J. , Waller, Rosalie G. , Basnet, Soren, Robinson, Dennis P. , Hoel, Mingma , Vallejo, Bryan Alexis , Patnaik, Mrinal M. , Call, Timothy G. , Vachon, Celine M. , Hanson, Curtis A. , Slager, Susan, Griffin, R. L. , Shanafelt, Tait D , Waller, Rosalie G , Griffin, Rosalie , Parikh, Sameer A. , Roeker, Lindsey E. , Wang, Yucai , Norman, Aaron D. , Rabe, Kari G. , Olson, Janet E. , Basnet, Soren, Clay‐Gilmour, Alyssa , Lehman, Stacey L. , Cerhan, James R. , Vachon, Celine M. , Kay, Neil E. , Braggio, Esteban , Boddicker, Nicholas

Blood | December 5, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 128-128

10.1182/blood-2025-128 Get It

Abstract Background: Monoclonal B-cell lymphocytosis (MBL), a precursor to chronic lymphocytic leukemia (CLL), is an understudied yet common premalignant condition present in ~8 million adults in the United States. Based on flow cytometry, MBL can be classified into two immunophenotypes: CLL-type (CD5, CD23, and CD20 co-expression) and non-CLL-type (CD5-negative). While the majority of the data to date pertains to CLL-type MBL, the available evidence indicates non-CLL-type MBL is also associated with an increased risk of hematologic malignancies. Clonal hematopoiesis of indeterminate potential (CHIP) is another precursor condition associated with hematologic malignancies. The relationship between non-CLL-type MBL and CHIP and their combined effect remains unknown. Herein, we report findings on these two precursor conditions in the largest screening cohort to date. Methods: Using flow cytometry, we screened for MBL in the Mayo Clinic Biobank participants who were 40 years or older with no prior history of hematologic cancers. Using whole-exome sequencing of whole-blood DNA, CHIP was screened on 291 genes related to myeloid (56 genes) or lymphoid malignancies (235 genes). Incident hematologic malignancies were detected during follow-up using International Classification of Diseases (ICD) codes in the medical record. All diagnoses were manually reviewed for confirmation. Multivariable logistic regression was used to evaluate the association between non-CLL-type MBL and CHIP. Time to incident hematologic malignancy was calculated from date of MBL screening to the earliest date of incident malignancy, withdrawal, death, last medical visit, or study end. Overall survival (OS) was calculated from date of MBL screening to date of death or last known alive. Multivariable Cox regression, adjusted for age, sex and residency, was used to investigate associations between non-CLL-type MBL and CHIP with clinical outcomes; with results reported using hazard ratios (HR) and 95% confidence intervals (CI). Results: In total, 8,802 individuals with MBL screening and CHIP data were analyzed. Non-CLL-type MBL was detected in 249 (2.8%) individuals; 121 (49%) were male, and median age was 78 years (range, 47-95). We identified 757 (8.6%) individuals with CHIP in at least one of the 291 genes tested. The most frequently mutated CHIP genes were DNMT3A, TET2, ASXL1, PPM1D, and TP53. A total of 47 (0.5%) individuals had both non-CLL-type MBL and CHIP; the four genes with the highest number of CHIP variants in these individuals were DNMT3A (n=16), TET2 (n=10), ASXL1 (n=3), and ATM (n=3). An association between non-CLL-type MBL and any CHIP (OR=1.6, 95%CI:1.2-2.3, P=0.006) was observed. When analyzing CHIP in genes related to myeloid malignancies, the association with non-CLL-type MBL was also significant (OR=1.6, 95%CI:1.1-2.3, P=0.012); however, the association was not statistically significant for genes related to lymphoid malignancies (OR=1.6, 95%CI:0.8-3.3, P=0.165). With a median follow-up of 5.4 years, 104 individuals developed incident hematologic malignancies (66 lymphoid and 38 myeloid malignancies). Non-CLL-type MBL (HR=3.5, 95%CI:1.9-6.5, P<0.001) and CHIP (HR=3.2, 95%CI:2.1-5.1, P<0.001) were each associated with increased risk of incident hematologic malignancies. Co-existence of both precursor conditions was associated with a substantially higher risk of incident hematologic malignancies (HR=10.3, 95%CI:4.0-26.2, P<0.001) compared to individuals with neither precursor condition. Among individuals with non-CLL-like MBL, any CHIP was a borderline significant predictor for incident hematologic malignancy (HR=3.6, 95%CI:1.0-12.9, P=0.049). Compared to individuals with no precursor conditions, OS was not significantly different in those with non-CLL-type MBL-only (HR=1.1, 95%CI:0.8-1.5, P=0.40), those with CHIP-only (HR=1.2, 95%CI:0.99-1.4, P=0.06), or those with both CHIP and non-CLL-type MBL (HR=1.3, 95%CI:0.8-2.1, P=0.39). Conclusions: In the largest screening cohort to date evaluating the relationship of CHIP and non-CLL-type MBL, we found that non-CLL-type MBL and CHIP are associated with each other. Individuals with non-CLL-type MBL were more likely to have CHIP variants in DNMT3A, TET2, ASXL1, and ATM. Among individuals with non-CLL-type MBL, the presence of any CHIP was associated with increased risk of developing hematologic malignancy.
PET-adaptive beacopp- versus ABVD-based therapies for advanced-stage (AS) classic Hodgkin lymphoma (cHL): Survival comparisons leveraging a multi-state model and analyzing the impact of a-hipi scores across the disease course
Zhu, Cui , Counsell, Nicholas , Upshaw, Jenica , Kirkwood, Amy A. , Advani, Ranjana H. , Gallamini, Andrea , Ghesquières, Hervé , Hutchings, Martin , Johnson, Peter , Advani, Ranjana H , Cui, Zhu, Rodday, Angie Mae , Tighiouart, Hocine , Rossetti, Sára , Li, Hongli , Casasnovas, Olivier , Cerhan, James R. , Federico, Massimo , Hawkes, Eliza A. , Hodgson, David , Link, Brian K. , Mou, Eric , Radford, John , Savage, Kerry J. , Stephens, Deborah M. , Zinzani, Pier Luigi , Maurer, Matthew J. , Rossi, Cédric , Evens, Andrew M. , Parsons, Susan K.

Blood | December 5, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 129-129

10.1182/blood-2025-129 Get It

Abstract Background: Despite recent therapeutic advances in AS cHL, PET-adaptive chemotherapy-based regimens remain a first-line treatment option, especially for patients (pts) without access to novel agents. Most PET-adaptive regiments start with either 2 cycles of escBEACOPP (escBEACOPP2) or ABVD (ABVD2) prior to interim PET assessment (iPET), followed by treatment de-escalation or intensification by iPET result. There have been no direct comparisons of escBEACOPP2 vs ABVD2 PET-adaptive regimens. Additionally, the AS-Hodgkin Lymphoma International Prognostication Index (A-HIPI) score (Rodday JCO 2023) has not been fully explored in escBEACOPP2 regimens. Therefore, we utilized multiple analytic approaches to compare outcomes of PET-adaptive escBEACOPP2 and ABVD2 regimens, while adjusting for and assessing the effect of the baseline A-HIPI score. Methods: Through the global HoLISTIC Consortium (www.hodgkinconsortium.com), we obtained individual patient data from 4 AS clinical trials of newly diagnosed cHL pts treated with PET-adaptive escBEACOPP2 (AHL2011) or ABVD2 (SWOG0816, RATHL, HD0607) regimens. Pts were restricted to age 18 to 65 years (y), stage IIB-IV, and PET-adapted treatment arms. Positive iPET was based on Deauville score >3. Treatment effects of escBEACOPP2 vs ABVD2 (reference) on 5y progression-free survival (PFS) and overall survival (OS) were first evaluated using Cox models. Importantly, baseline disease risk was adjusted for using the 5y PFS or OS A-HIPI score (including stage, sex, age, bulk, lymphocyte count, albumin, white blood cell count), where higher scores indicate higher predicted risk (scale 1-100). The A-HIPI was modeled per 1 standard deviation (SD) increase. Our multistate model (MSM) comprised 4 health states: diagnosis, sustained remission at 1yr, treatment failure, and death from any cause. Pts all started in the diagnosis state and transitioned to other states without return to prior states. We assessed the impact of treatment on transitions (except binary sustained remission at 1y) that involved ≥5 pts per treatment group, adjusting for A-HIPI for all transitions. All effects are reported as adjusted hazard ratios (aHRs) with 95% confidence intervals (CI). Results: 2,381 AS cHL pts were included (n=372 for escBEACOPP2, n=2009 for ABVD2). For escBEACOPP2 and ABVD2 groups (median follow-up 60 and 56 months), respectively, the mean baseline A-HIPI scores (i.e., predicted 5y PFS event rate) were 25.1 (SD=6.3) and 22.9 (SD=6.5), the rates of positive iPET were 11.3% and 17.0%, 5y PFS was 87.0% and 79.5%, and 5y OS was 96.3% and 94.6%. In Cox models, escBEACOPP2 was associated with significantly improved PFS compared to ABVD2 (aHR=0.54, 95% CI=0.39-0.73); the aHR for OS was 0.67 (95% CI=0.37-1.19). Notably, higher risk A-HIPI score was associated with significantly worse PFS (aHR=1.42, 95% CI=1.31-1.54) and OS (aHR=1.60, 95% CI=1.47-1.76), independent of treatment. In the MSM, the effect of escBEACOPP2 compared to ABVD2 regimens was modeled in 3 transitions with adjustment for A-HIPI score: those treated with escBEACOPP2 had lower likelihood of treatment failure with (aHR=0.38, 95% CI=0.22-0.66) or without (aHR=0.61, 95% CI=0.40-0.92) sustained remission at 1y; the aHR for treatment failure to death was 0.55 (95% CI=0.25-1.22). Higher risk baseline A-HIPI score was associated with higher likelihood of treatment failure and death without sustained remission at 1y (aHR=1.43, 95% CI=1.28-1.61 and aHR=2.50, 95% CI=1.80-3.49, respectively). Furthermore, higher risk baseline A-HIPI score was associated with higher likelihood of treatment failure after achieving sustained remission at 1y (aHR=1.29, 95% CI=1.12-1.48) as well as death after treatment failure (aHR=1.54, 95% CI=1.27-1.86). Conclusions: Comparing newly diagnosed adult AS cHL PET-adaptive regimens with adjustment for baseline A-HIPI score, we found pts treated with escBEACOPP2 on AHL2011 had improved PFS versus pooled pt data from 3 ABVD2 trials. Using MSM, we further demonstrated that escBEACOPP2 was associated with a lower likelihood of treatment failure with or without achieving sustained remission at 1yr. In addition, baseline A-HIPI score was associated with PFS and OS, which was independent of treatment. Finally, higher baseline A-HIPI scores maintained prognostic impact throughout the disease course, including increased risk of treatment failure for pts in remission at 1yr and death after treatment failure.
Association between cilta-cel dose and efficacy and toxicity outcomes for patients with Relapsed/Refractory multiple myeloma (RRMM): A real-world analysis from the US multiple myeloma immunotherapy consortium
Jensen, Alexandria , Gordillo, Christian , Reid, Brett M. , Peres, Lauren C. , Gaballa, Mahmoud , Afrough, Aimaz , Ferreri, Christopher J. , Varga, Cindy , Rana, Masooma , Hosoya, Hitomi , Mikkilineni, Lekha , Hovanky, Vanna, Zanwar, Saurabh , Kalariya, Nilesh, Mikulski, Damian , Cahoon, Christopher, Avila, Gabriel De, Bhurtel, Jenny , Goel, Utkarsh , Sannareddy, Aishwarya , Cassano, Raffaella Cassano , Midha, Shonali , Davis, James A. , Gonzalez, Rebecca , Purvey, Sneha , Green, Kimberly M , 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. , Costa, Luciano da Fontoura , Biran, Noa , Kumar, Shaji , Patel, Krina K. , Sidana, Surbhi , Sidana, Surbhi , Davis, James A , Hosoya, Hitomi , Reshef, Ran , Dima, Danai , Banerjee, Rahul , Pasvolsky, Oren , Dillard, Christen , Atrash, Shebli , Portuguese, Andrew J. , Wagner, Charlotte B , Puglianini, Omar Castañeda , Zolotov, Eli , Grajales‐Cruz, Ariel , Kort, Jeries , Herr, Megan M. , Xie, Zhuoer , Hassan, Hamza , Geer, Marcus , Perna, Fabiana , Nishihori, Taiga , Raza, Shahzad , Anwer, Faiz , Nadeem, Omar , Baz, Rachid , Locke, Frederick L. , Miklos, David B. , Anderson, Larry D. , Lin, Yi , Hansen, Doris K.

Blood | December 5, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 134-134

10.1182/blood-2025-134 Get It

Abstract Introduction: Ciltacabtagene autoleucel (cilta-cel) is a highly effective BCMA-redirected CAR T-cell therapy for RRMM. While the pivotal CARTITUDE-1 trial established a target dose of 0.75 x 10^6 CAR+ viable T-cells/kg, the approved cell dose is 0.5-1.0 x 10^6 and the optimal dosing strategy to balance efficacy and toxicity remains unclear. This question is of interest given that a dose-response association has been demonstrated for idecabtagene vicleucel (a related BCMA-directed CAR T product). It has also been hypothesized that lower doses of cilta-cel may be associated with reduced toxicity. This study aims to evaluate the association between cilta-cel dose and key efficacy and toxicity outcomes using a large, real-world dataset from the US Multiple Myeloma Immunotherapy Consortium. Methods: We conducted a multicenter, retrospective analysis of 751 RRMM patients treated with commercial cilta-cel across 15 US academic centers. The administered cilta-cel dose (million cells/kg) was categorized into four groups: low (<0.5), standard-low (0.5 to <0.6), standard (0.6 to <0.8), and standard-high (0.8 to 1.0). We compared incidence rates of cytokine release syndrome (CRS), immune effector cell-associated neurotoxicity syndrome (ICANS), delayed neurotoxicity (DNT), and immune effector cell-associated hemophagocytic lymphohistiocytosis-like syndrome (IEC-HS) across these dose categories using logistic regression. Best response rates and progression-free survival (PFS), estimated using the Kaplan-Meier method, were also compared, with differences assessed using the log-rank test for the latter. Results presented are derived from multivariable models adjusting for extramedullary disease, ECOG status, penta-refractory disease and receipt of bridging therapy. Results: Among 751 infused patients, the dose distribution was: <0.5 (n=33), 0.5 to <0.6 (n=131), 0.6 to <0.8 (n=550), and 0.8 to 1.0 (n=37). The four dose groups were well-balanced in terms of baseline patient and disease characteristics, including age, high-risk cytogenetics, and extramedullary disease, with the exception of t(14;16), which was more common in the standard-low and standard dose groups (p=0.006). There were no statistically significant differences in the rates of any grade CRS (p=0.11), any grade ICANS (p=0.84), grade ≥3 ICANS (p=0.36), duration of CRS (p=0.18) or ICANS (p=0.64), or IEC-HS (p=0.16) across the four dose categories. Time to onset of CRS was shorter for the standard-high dose compared to the low dose (6 days vs. 8 days; p=0.08). Importantly, there was no significant difference in the rate of DNT (3.0%, 9.2%, 8.8%, 5.4%; p=0.24). Similarly, there was no significant difference in overall response rates (97%, 96%, 96%, 88%; p=0.50) or complete response rates (75%, 65%, 75%, 66%; p=0.10) by dose. The median follow-up was 12.3 months (IQR: 6.9, 20.5). For patients who received a standard-low dose (0.5, 0.6), the median PFS was 17.5 (IQR: 13.5, NR) months. For the standard dose range of (0.6, 0.8), the median PFS was 28.7 (95% CI: 19.8, NR) months, while the median PFS for the standard-high dose (0.8, 1.0) was not reached. For the low dose range of <0.5, the median follow up was only 8.7 months, which did not allow reliable estimation of the median PFS. While the overall difference in PFS among the groups did not reach statistical significance by the log rank test, there was a clear trend toward improved PFS with higher cell doses in the multivariable model, with outcomes clearly ordered in the same direction as the cell dose categories. A similar trend was also evident in the rates of 12-month PFS which showed an improvement with increasing dose (62% ,67%, 73%, 80%). Conclusions: In this large, real-world cohort of RRMM patients treated with cilta-cel, a lower cell dose was not associated with reduced incidence or severity of CRS, ICANS, DNT, or IEC-HS. Conversely, a dose-response correlation with PFS was observed, with higher doses trending toward longer median and 12-month PFS. It remains unknown if a lower cell dose in the commercial setting reflects poor T cell quality, yet these findings suggest that dose reduction of cilta-cel may not be an effective strategy to mitigate toxicities and might be associated with a trend toward lower efficacy. Therefore, the standard target dose should be utilized to maximize patient outcomes and further prospective dose exploration is warranted.