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Transplant vs. Resection for Non-HCC Malignancies of the Liver
Thiyagarajan, Sibi Krishna , Jacover, Arielle , Verastegui, Alfredo , Poruk, Katherine E. , Verastegui, Alfredo , Stauffer, John

Livers | December 5, 2025 | Volume: 5 | Issue: 4 | Pages: 64

10.3390/livers5040064 Get It

Background: Surgical resection (SR) and liver transplantation (LT) are the main curative options for non-hepatocellular carcinoma (non-HCC) liver malignancies, including colorectal liver metastases (CRLMs), intrahepatic cholangiocarcinoma (iCCA), hilar cholangiocarcinoma (hCCA), and neuroendocrine tumor liver metastases (NETLMs). Resection aims for negative margins and adequate hepatic reserve, while LT offers treatment for unresectable disease but is limited by donor scarcity, immunosuppression, and ethical constraints. Methods: A targeted literature search (2005–2025) was conducted using PubMed and Google Scholar with predefined MeSH terms combining “liver resection,” “hepatectomy,” and “liver transplantation” across non-HCC malignancies. Relevant studies, reviews, and guidelines were included. Results: For CRLMs, SR remains standard with 5-year overall survival (OS) up to 58%, while LT offers 60–83% in highly selected unresectable cases. In iCCA, resection achieves median survival around 40 months, and LT yields OS up to 69% in very early or neoadjuvant-controlled disease. For hCCA, the Mayo protocol combining neoadjuvant therapy with LT provides 5-year OS of 65–80%. In NETLMs, LT achieves 63–97% OS under strict criteria. Conclusions: SR remains first-line for resectable non-HCC malignancies, while LT provides superior outcomes in unresectable yet biologically favorable disease, emphasizing careful selection and organ allocation.
Automated Insulin Delivery Is Beneficial in Adults With Insulin-Treated Type 2 Diabetes With and Without GAD65 Antibodies
Beck, Roy W. , Hirsch, Irl B., Raghinaru, Dan, Lum, John W. , Pinsker, Jordan E. , Kudva, Yogish C. , Group*, 2IQP Study, Desjardins, Donna, Kurek, Corey, Kaur, Ravinder Jeet , Livingood, Daine, Rizvi, Shafaq , Graham, Timothy E., Terry, Adrienne, Luker, Ryan, Mellenthin, Melanie, Rezac, Stephanie, Liljenquist, David R., Rogers, Justin, Williams, Jonathan, Christensen, Rochelle, Lee, In‐Kyoung, Malone, Joann, Spanakis, Elias K. , Singh, Lakshmi G., Churchill, Jade, Comen, Kathleen, Scott, William H., Davis, Georgia M. , Arroyo, Lizda Guerrero, Oladejo, Omolade , Usman, Sabeena, Ahmann, Andrew , Schmid, Caleb, Dean, Ariel, Branigan, Deborah , Caswell, Brittany, Heyerman, Tess, Tessman, Brian, Vanderheide, Jnh, Dennis, Brittany , Hendricks, Lisa, Reyes-Rodriguez, Clemente, Wolf, Valerie, Coyne, Kasey, Kravarusic, Jelena, Fronczyk, Evelyn, Herrmann, Stefanie, Penn, Samsam C., Blevins, Thomas , Casaubon, Luis, Espinosa, Valerie, Pandit, Keta, Perez, Jennifer, Stewart, Ana, Assir, Courtney, Fields, Cory, Kruger, Davida , Estrada, Kathleen, Jones, J. Kimberly, Mukhashen, Shereen, Corker, Natalie, Hunter, Heather, Layton, Paula, Brown, Sue A. , Afreen, Samina , Dhillon, Jasmeen, Emory, Emma, Fulkerson, David, Fuller, Morgan, Holmes, Viola, Kollar, Laura, Toole, Elyse, Levister, Camilla, O’Malley, Grenye , Ipek, Aslihan, Alabi, Denise, Ellis, Emily, Hassan, Shaziah, Ogyaadu, Selassie, Tamarez, Denisa, Weinstock, Ruth S. , Stone, Sheri , Bzdick, Suzan, Agostini, Lynn, Bulger, Jane , Wolpert, Howard , Atakov-Castillo, Astrid , Sullivan, Asya, Aia, Corinne, Brouillard, Elizabeth, Driscoll, Marsha, Lapier, Heather, Payra, Sherryl, Vancer, Louise, Averkiou, Xenia, Baran, Jesica, Holod, Rosanna, Litvicov, Patrisia, Mandava, Patali, Swinton, Sydney, Khakpour, Dori , Broyles, Frances E. , Marks, Sheryl, Mitchell, Tina, Hairston, Babette, Costello, Reilly, Curtis, Stella, Kamimoto, Jorge Jo, Peleckis, Amy J. , Sultan, Rahaf , Dalton-Bakes, Cornelia, Bourne, Patricia, Haidar, Ahmad, Pasqua, Melissa, Tardio, Vanessa , Moore, Adelyn, Kemp, Gabrielle, Raskin, Philip, Jordan, L.F., Shao, Baomei, DoNguyen, Trang, Meeks, Tram, Phan, Michael , Lesniak, Amanda, Becerra, Mario, Bellini, Natalie J. , Denallo, Erica, Lewis, Claudia , Tribout, Jerry, Tribout, Megan, DiFrancesco, Kathryn, Phillips, Kylie, Raghinaru, Dan, Campos, Tiffany, Morrell, Beth, Oduah, Vanessa, Cardenas-Villamil, Gabriela, Morales, Amanda, Murphy, Carlos, Strayer, Heidi, Spanbauer, Charles , Kollman, Craig, Sasson-Katchalski, Ravid, Piquette, Nicole, Wheatcroft, Alex, WHITE, KIRSTIN N., Carmelo, KC, Janicek, Robert, Gabrielson, Deanna, Mercado, Kevin, Beck, Roy W , Group*, 2IQP Study, Smith, Joshua W. , Christensen, Rochelle, Malone, Joann, Pasquel, Francisco J. , Tajrishi, Farbod Zahedi , Arroyo, Lizda Guerrero, Dean, Ariel, Howard, Matthew, Vander-Heide, Jesse, Ahn, David , Aleppo, Grazia , Fields, Cory, Layton, Paula, Oliveri, Mary Clancy , Levy, Carol J. , Agostini, Lynn, Steenkamp, Devin W , Spaic, Tamara , Liu, Selina , Marks, Sheryl, Mitchell, Tina, Costello, Reilly, Curtis, Stella, Rickels, Michael R. , Bourne, Patricia, Tsoukas, Michael A. , Pasqua, Melissa-Rosina , Moore, Adelyn, Kemp, Gabrielle, Meeks, Tram, Phan, Michael, Hatipoğlu, Betül , Lesniak, Amanda, Howard, Quiana , DiFrancesco, Kathryn, Raghinaru, Dan, Morrell, Beth, Morales, Amanda, Kanapka, Lauren , Le, Van

Diabetes Care | December 5, 2025 | Volume: 49 | Issue: 2 | Pages: e18-e20

10.2337/dc25-2059 | PMID 41348329 Get It

Can a Generative Artificial Intelligence Model Be Used to Create Mass Casualty Incident Simulation Scenarios? A Feasibility Study
Navarro, Sergio M. , Atkinson, Angie G., Donagay, Ege, Jabaay, Maxwell J, Lund, Sarah , Park, Myung S., Loomis, Erica, Zietlow, John , Vu, T. N. Diem , Rivera, Mariela , Stephens, Daniel , Jabaay, Maxwell, Loomis, Erica A, Zietlow, John M, Diem Vu, T N , Navarro, Sergio Michael , Atkinson, Angie G., Stephens, Daniel

Healthcare | December 5, 2025 | Volume: 13 | Issue: 24 | Pages: 3184

10.3390/healthcare13243184 | PMID 41464253 Get It

Introduction: Mass casualty incident (MCI) simulation scenarios are developed based on detailed review and planning by multidisciplinary trauma teams. This study aimed to assess the feasibility of using generative artificial intelligence (AI) in developing mass casualty trauma simulation scenarios. The study evaluated a range of mass casualty trauma simulation scenarios generated from a public generative artificial intelligence platform based on publicly available data with a validated objective simulation scoring tool. Methods: Using a large language model (LLM) platform (ChatGPT4, OpenAI, San Francisco, CA, USA), 10 complex MCI trauma simulation scenarios were generated based on publicly available US reported trauma data. Each scenario was evaluated by two Advanced Trauma Life Support (ATLS) certified raters based on the Simulation Scenario Evaluation Tool (SSET), a validated scoring tool out of 100 points. The tool scoring is based on learning objectives, tasks for performance, clinical progression, debriefing criteria, and resources. Two publicly available mass casualty trauma scenarios were similarly evaluated as controls. Revision and recommended feedback was provided for the scenarios, with review time recorded. Post-revision scenarios were evaluated. Interrater reliability was calculated based on Intraclass Correlation Coefficients (2, k) (ICCs). For the scenarios, scores and review times were reported as medians with interquartile range (IQR) as 25th and 75th percentiles. Results: Ten mass casualty trauma simulation scenarios were generated by an LLM, producing a total of 62 simulated patients. The initial LLM-generated scenarios demonstrated a median SSET score of 78.5 (IQR 74–82), substantially lower than the median score of 94 (IQR 93–95) observed in publicly available scenarios. The interrater reliability ICC for the LLM-generated scenarios was 0.965 and 1.00 for publicly available scenarios. Following secondary human revision and iterative refinement, the LLM-generated scenarios improved, achieving a median SSET score of 94 (IQR 93–96) with an interrater reliability ICC of 0.7425. Conclusions: The feasibility study suggests that a structured, collaborative workflow combining LLM-based generation with expert human review may enable a new approach to mass casualty trauma simulation scenario creation. LLMs hold promise as a scalable tool for the development of MCI training materials. However, consistent human oversight, quality assurance processes, and governance frameworks remain essential to ensure clinical accuracy, safety, and educational value.
Bone marrow adipocytes (BMA) as a novel biomarker of molecular response in patients with essential thrombocythemia (ET) and polycythemia vera (PV) treated with pegylated interferon alfa-2A
Johnson, Justin M. , Metzger, Megan , Barbui, Tiziano , Yacoub, Abdulraheem , Yu, Ashley , Kremyanskaya, Marina , Salama, Mohamed E. , Mascarenhas, John , Kosiorek, Heidi , Prchal, Josef T. , Rambaldi, Alessandro , Mesa, Ruben A. , Dueck, Amylou C. , Hoffman, Ronald

Blood | December 5, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 5590-5590

10.1182/blood-2025-5590 Get It

Abstract Background: The functional importance of bone marrow adipocytes (BMA) is frequently overlooked even though they are critical components of the BM (bone marrow) microenvironment. BMA have been proposed to play a supportive role within the hematopoietic niche and to directly sustain hematopoietic stem cell (HSC) survival as well as to preferentially support leukemia cell survival and proliferation (Sabbah Cell Commun Signal 2023). Although significant ex-vivo data implicates direct and indirect crosstalk between BMA and neoplastic HSCs (Venti Front Endocrinol 2022), the possible role of BMA in myeloproliferative neoplasms and their dynamics following therapy have yet to be characterized. Adiponectin, an anti- inflammatory adipokine that maintains metabolic homeostasis through regulation of insulin sensitivity, lipid metabolism and pro-inflammatory signaling is low in MPN patients and increases with IFN-α therapy (Avcu Int J Hematol. 2006). IFN-α has also been implicated in inhibiting adipogenesis via JAK-STAT1 signaling (Lee Biochim Biophys Act. 2016). A single institutional study of IFN-α in patients with essential thrombocythemia (ET) and polycythemia vera (PV) confirmed the potential for BM histopathologic responses and a correlation with molecular responses (Masarova Exp Hematol Oncol 2017). The aim of this analysis was to characterize the change in BM cellularity and fat composition with pegylated IFN α-2a (Pegasys; PEG) and the relationship with both hematologic and molecular response from tissue collected in prospective, global clinical trials of PEG in patients with ET/PV. Methods: A total of 24 subjects from the phase 2 MPN-RC 111 (Yacoub Blood 2019) salvage PEG study and 16 subjects from the MPN-RC 112 (Mascarenhas Blood 2022) phase 3 study comparing PEG to HU with available clinical, BM H&E slides, laboratory and molecular data were included in this retrospective analysis of prospective clinical trial data. We assigned a semi-quantitative score for changes in cellularity, fat distribution, and megakaryocyte (MK) histo-topography for changes from baseline, at 12, 24 and 36 months when available. Changes in BMA content and para-trabecular distribution were assessed on whole slide digital images with machine learning models. BMA content was quantified with a QuPath pixel classifier that distinguished adipocytes from other marrow components (Bankhead Scientific Reports 2017). Para-trabecular adipocyte distribution was assessed by leveraging UNI2-h, a self-supervised Vision Transformer (ViT-H/14) model and successor to UNI (Mahmood Nature 2024). UNI2-h was pre-trained on 200 million image tiles from over 300,000 H&E and IHC slides. In this study, UNI2-h was adapted to distinguish between high and low para-trabecular adiposity using image tiles centered on trabeculae. Trabeculae with a surrounding layer of adipocytes were labeled as ‘high’ adiposity, while ‘low’ para-trabecular fat distribution was defined by the direct contact of cellular marrow with trabeculae, lacking surrounding adipocytes. Results: A total of 40 PEG-treated ET (n=18) and PV (n=22) patients were included in this analysis with a median age of 64 years (26-85), 77% JAK2V617F+, 23% CALRmut+, and 40% treatment-naïve. The median JAK2V617F variant allele fraction (VAF) was 26% (range 3-96%). A complete hematologic response (CHR) was obtained with PEG in 58%, 61% attained >20% reduction in driver VAF and 48% attained a >50% reduction in VAF (MR) within 24 months of baseline. We observed an increase in BMA content and notable increase in para-trabecular distribution (confirmed by morphology and ML, independently) in 93% and 53% of PEG treated patients attaining a MR versus only 31% and 6% who did not attain MR, respectively (P Value=0.0004). There was more notable improvement towards normalization of MK histo-topography and orderly erythropoiesis in MR (86.6%) than in non-MR (31.2%) (P value=0.001). Increase in BMA content, BMA para-trabecular distribution, or improvement in MK histo-topography were not associated with achievement of CHR or changes in CALR VAF in this small cohort. Cytokine correlation with BMA dynamics is currently ongoing and will be reported at the meeting. Conclusion: Treatment of MPN patients with IFN-α resulted in reproducible changes in BM cellularity including MK histo-topography, erythropoiesis, BMA number and distribution. Changes in BMA were closely associated with reduction in JAK2V617F VAF following PEG treatment.
Nivolumab with doxorubicin, vinblastine, and dacarbazine (NAVD) in older adults with classic Hodgkin lymphoma: Do S1826 results hold up in the real world?
Torka, Pallawi , Bock, Allison M. , Vaughn, John, Thiruvengadam, Swetha, Sekaran, Kanithra , Lee, Calvin , Smilnak, Gordon , Patel, Vrutti , Baek, Grace , Mynam, Ritwick , Sano, Dahlia , Gerber, Drew, Palmeri, Marisa, Mrad, Rudy, Sharp, John , Geethakumari, Praveen Ramakrishnan , Karimi, Yasmin , Feldman, Tatyana , Svoboda, Jakub , Shanmugasundaram, Krithika , Herrera, Alex F. , Karimi, Yasmin H , Назаренко, Елена Борисовна , Xu, Yizhe , Vaughn, John, Thiruvengadam, Swetha, Major, Ajay , Reef, Daniel K. , Luttwak, Efrat , Shah, Harsh , Ip, Andrew , Falade, Ayo , Iqbal, Madiha , Voorhees, Timothy , Rhodes, Joanna , Durani, Urshila , Cherng, Hua‐Jay J. , Pophali, Priyanka A. , Di, Mengyang , Niu, Alex , Grover, Natalie S. , Karmali, Reem , Diefenbach, Catherine , Epperla, Narendranath

Blood | December 5, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 3622-3622

10.1182/blood-2025-3622 Get It

Abstract Introduction: Older adults (OAs) with classic Hodgkin lymphoma (cHL) have inferior survival compared with younger patients (pts). NAVD has been widely adopted in clinical practice for frontline (1L) treatment of OAs with advanced stage cHL based on the subset analysis of S1826 study (Rutherford et al, JCO 2025) showing a 1-year progression-free survival (PFS) of 93% and 1-year overall survival (OS) of 95% after NAVD (n = 50) which remained durable on longer-term follow up. Another phase 2 study (Torka et al, JCO 2025) showed that NAVD is a highly effective and well-tolerated 1L regimen in OAs with cHL (n=40) across a wide range of geriatric impairments. Adverse events (AEs) and efficacy have not been reported in OAs treated with NAVD outside of a clinical trial. Hence, we sought to evaluate safety profile and efficacy outcomes of OAs with cHL treated with 1L NAVD in a real-world setting (RWS). Methods This is a multicenter retrospective cohort study of adults (≥18 years) with cHL treated with 1L NAVD between 2023 and 2025 at 20 US academic sites. Baseline characteristics and outcomes of pts ≥60 years were evaluated as a pre-planned subset analysis. The safety evaluable cohort received at least 1 cycle of NAVD and included pts who had not yet completed treatment. The efficacy evaluable cohort had completed 6 cycles of treatment including end of treatment (EOT) PET-CT and included pts who intended to complete treatment but died or discontinued due to progressive disease or AEs. The primary endpoint was EOT overall response rate (ORR). Secondary endpoints included EOT complete response rate (CRR), PFS and OS. PFS and OS were analyzed using the Kaplan Meier method. Results Among 311 pts, 81 were OAs (26%). Median age of the OA cohort was 70 (range 60-88) yrs, 65% male, 84% Caucasian, 71% nodular sclerosis subtype, 58% stage 4 disease, 59% B symptoms, 14% bulky disease (>7.5 cm), 69% extranodal sites, 41% EBV positive, 54% hypoalbuminemia, 49% IPS ≥ 4 and10% had an autoimmune disease. G-CSF was given in 81% pts. All 81 pts were evaluable for safety; 74% experienced a grade 3+ (≥G3) AE, 54% had ≥G3 hematological AE, 48% had ≥G3 neutropenia, 17% had febrile neutropenia. Infection rate was 28% with 10% ≥G3, neuropathy rate was 23% with 4% ≥G3. One infusion reaction was noted. Treatment related hospitalizations rate was 23% with median duration of 7 (range 1-16) days. There were 24 immune related AEs (IrAE) (30%) of which 5 were ≥G3. Most common IrAE was hypothyroidism (n=5), followed by inflammatory arthritis (n=4), pneumonitis (n=2, ≥G3, n=1), hepatitis (n=2, both ≥G3), adrenal insufficiency (n=2, ≥G3, n=1), colitis (n=2), and rash (n=2). One patient each had autoimmune neutropenia, sarcoidosis of lung/skin and myocarditis (≥G3). Overall, 15% pts required steroids with resolution of IrAEs in 56% cases, 30% (n=7) pts required continued therapy (levothyroxine in 4 pts, steroids in 3 pts, medical tx for heart failure in 1 pt). Treatment was interrupted in 22%, reduced in 22%, and discontinued in 23% pts. Nivolumab was discontinued in 14% pts. Among all pts (n=81), 81% had an interim PET-CT after 2-4 cycles. The ORR and CR rate at interim PET-CT were 100% and 81%, respectively. In the efficacy evaluable pts (n=52; 24 still on therapy), the EOT ORR and CRR were 93.2% and 84% in OAs compared to 96.8% and 91.7% in pts <60yrs, respectively. At a median follow up of 10.2 mo (range 0.27-28.52), the 1-yr PFS was 90.6% (95% CI: 82.7%-99.3%) in OAs and 95.5% (95% CI: 91.6%- 99.6%) in pts <60 yrs (p=0.044). 1-yr OS was 97.5% (95% CI: 94.1-100%) and not evaluable in pts <60yrs (p=0.017). None of the baseline features were predictive of response, additional analysis to understand impact on AEs and survival is ongoing. Among the 5 pts with progression/relapse, 4 were primary refractory. 4 pts received 2nd line (2L) therapy.79 pts are alive at data cut off, 2 deaths occurred- 1 infection-related and other unknown; both after the 1st cycle. Conclusions In this largest RWS cohort of OAs treated with NAVD we showed comparable response rates, AEs and 1-year survival outcomes to those in the pivotal S1826 trial. Notably, rates of ≥G3 AEs including infections, neuropathy and IrAEs remained low and manageable. Although survival significantly improved with NAVD compared to historical data, outcomes of OAs remained inferior compared to pts <60 yrs. Our data reinforces the use of NAVD as the preferred 1L option for OAs with advanced stage cHL.
Myeloid malignancies molecular analysis for therapy choice (myeloMATCH): Rapid availability of clinical, pathologic and molecular features for treatment assignment in the first 550 patients.
Winer, Eric, Tsai, Stephanie, Osman, Afaf, Im, Annie , Moseley, Anna , Wood, Brent, Chen, Xueyan , Qu, Xiaoyu , Harris, Lyndsay N. , Ghatak, Sayak , Gore, Steven D. , Michaelis, Laura C. , Odenike, Olatoyosi , Stone, Richard M. , Luger, Selina M. , Assouline, Sarit, Litzow, Mark R. , Lachowiez, Curtis A. , Borate, Uma , Savoie, Mary Lynn , Roy, Ntasha, Radich, Jerald P. , Little, Richard F. , Othus, Megan , Atallah, Ehab , Tsai, Stephanie, Sabloff, Mitchell , Loghavi, Sanam , Fang, Min, Yeung, Cecilia C.S. , Uy, Geoffrey L. , Erba, Harry Paul , Litzow, Mark R. , Reagan, John L. , Jonas, Brian A. , Jiwani, Shahanawaz S.

Blood | December 5, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 5279-5279

10.1182/blood-2025-5279 Get It

Abstract Background: MyeloMATCH is an NCI-sponsored initiative for acute myeloid leukemia (AML) and myelodysplastic syndrome (MDS) employing a Master Screening and Reassessment Protocol (MSRP) to assign patients (pts) to a pt and disease biology-specific clinical trial. Several trials evaluating initial therapies are currently open, while subsequent trials dedicated to eradicating measurable residual disease during consolidation and including stem cell transplant are being developed. A pt enrolled at diagnosis may be followed longitudinally and be eligible for trials in sequential tiers throughout the treatment course. We report key data concerning the first cohort of pts enrolled on the MSRP. Methods: After pts with suspected AML or MDS consent for the MSRP, blood and marrow are sent to the myeloMATCH Molecular Diagnostics Network (MDNet) of central CLIA labs operating under a single Investigational Device Exemption to rapidly define molecular, cytogenetic, and immunophenotypic characteristics. These data are catalogued by a bioinformatics team (MATCHBox) and reviewed daily to assign participants to an available trial based on pt and disease features. A Tier Advancement Pathway (TAP) allows standard of care therapy with potential for assignment to subsequent myeloMATCH trials. Since activation in May 2024, 550 patients age≥18 were enrolled on the MSRP from 76 institutions: 48 Academic, 14 NCORP, 11 community, 3 VA. There are currently 4 open randomized AML trials (≥age 60 or unfit with mutant FLT3, ≥age 60 IDH2 mutant AML, fit age<60 ELN 2017 intermediate-risk AML, fit age<60 ELN 2017 adverse risk) and 1 MDS trial(IDH2 mutant). Patients not eligible for an open protocol were assigned to TAP. Results: Of the 550 pts consented, 491 completed screening assays; 49 had no or incomplete samples; 10 withdrew before completed analysis. Median cytogenetic turnaround time (TAT) was 69 hours (91% within 72 hours), and median Next Generation Sequencing (NGS) TAT from receipt was 49 hours (95% within 72 hours). Seventy-six pts (of 491 with assay data) were not assigned due to non-AML or non-MDS diagnoses, the most common being: B-ALL [n=11], MPN [9], benign marrow [9], APML [7], and MPAL [6]. The AML/MDS verified cohort was 415 pts, 366 (89.2%) patients with AML (45% age <60) and 49 (11.8%) with MDS. The median age at screening was 63 years (range:18-95) and 186 (45%) were female. Eighty-two percent identified as White, 7.5% Black, 3% Asian, 7% unknown, and 9% as Hispanic. The most frequent mutations in the AML pts were NPM1 (24.0%), DNMT3A (22.7%), TET2 (19.9%), NRAS (18.0%), FLT3 (18.0% ITD, TKD 7.1%), TP53 (14.5%), and CEBPA (8.7%); IDH1/2 mutation rates were 8.2% and 13.7%, respectively. Co-mutations include FLT3/NPM1 (9.8%), NPM1/IDH2 (4.4%), IDH1/2 and any RAS (3.8%). Karyotypes were normal in 40.4%, complex 20.8%, inv(16) 6.0%, MLL/KMT2A 4.6% and t(8;21) 1.9%. 29% had favorable risk disease, 29% intermediate, and 42% adverse (ELN 2017). In MDS, mutations included: TP53 (36.7%), RUNX1 (20.4%) ASXL1 (20.4%), TET2 (18.4%), spliceosome mutations (SRSF2, SF3B1, U2AF1 and ZRSR2, 28.6%) andIDH1/2 in 4.1% and 6.1%, respectively. Karyotypes were normal in 24.5%; complex in 40.8%. By IPSS-R, 2.4% were low, 73.8% intermediate, 2.4% high, and 21.4% very high risk. 82/415 (20%) pts were assigned to initial therapy protocol, with an increase in assignment rate to 44% in the most recent two months. 71/415 pts (16%) were enrolled in one of the MyeloMATCH studies. Three-hundred forty-four pts (80%) were assigned and enrolled to TAP (296 AML, 48 MDS) for potential assignment to subsequent tier trials. In the TAP AML pts, 99 (33%) have completed initial treatment, including intensive chemotherapy (IC) in 62% of pts and hypomethylating agents/venetoclax (HMA/VEN) in 38%. In pts <60 years of age, 87% received IC v. 13% with HMA/VEN, in >60 34% IC v. 66% HMA/VEN and in age 60-75 42% IC v. 58% HMA/Ven. Conclusion: MyeloMATCH has screened over 500 pts from academic and community sites in the US and Canada in 14 months, meeting the TAT goal of sample acquisition to results of <72 hours. Assignment to treatment protocols has substantially increased recently. As additional trials open (12 in development) we expect the percentage of pts enrolled on MSRP who go on to therapeutic trials will markedly increase, thereby allowing a personalized medicine approach for a broad group of US and Canadian adult pts with AML and MDS.
Targeting CSF1R to overcome myeloid cell suppression in CART therapy
DeFranco, Grace , Yun, Kun , Olivier, S., Torghabeh, Mehrdad Hefazi, Stewart, Carli M. , Gleba, Justyna, Pawlush, Matthew L. , Zakko, Andrew, Redig, Michael, Klinge, Skyeler, Mai, Long, Demirer, Aylin Alasonyalılar , Miller, James E. , Miller, Erin , Sirpilla, Olivia , Ruiz, Omar Gutierrez, Skeele, Dominic, Goldberg, Sophia , Foote, Sara, Saleh, Ateka, Xia, Hong , Ogbodo, Ekene J. , Qiu, Yushi, Smallridge, Robert C., Copland, John A. , Trynda, Justyna , Gutierrez-Ruiz, Omar L. , Gleba, Justyna , Roman, Claudia Manriquez , Feigin, Jennifer M. , Olivier, Samuel, Hefazi, Mehrdad , Stewart, Carli , Kimball, Brooke , Siegler, Elizabeth L. , Huynh, Truc, Sakemura, Reona , Can, İsmail , Foote, Sara, Saleh, Ateka, Zubair, Abba C. , Tun, Han W. , Kenderian, Saad S.

Blood | December 5, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 5883-5883

10.1182/blood-2025-5883 Get It

Abstract Chimeric antigen receptor T (CART) cell therapy has shown unprecedented success in the treatment of hematological malignancies. However, the immunosuppressive tumor microenvironment of both solid and liquid tumors is a major barrier for CART efficacy. Immunosuppressive myeloid cells inhibit CART efficacy. Colony-stimulating factor 1 receptor (CSF1R) promotes macrophage proliferation, survival, and anti-inflammatory response and is upregulated on myeloid cells in many cancers, making CSF1R an appealing therapeutic target. We aimed to test the interactions between CSF1R, myeloid cells, and CART response, and to study CSF1R targeting in the context of CART cell therapy. We utilized CD19-targeted CART cell therapy (CART19) in lymphoma preclinical models and thyroid-stimulating hormone receptor (TSHR)-targeting CART cell therapy (TSHR-CART) in thyroid cancer models. We first measured CSF1R expression on myeloid cells in vitro. Suppressive myeloid cells, polarized from healthy donor monocytes using an anaplastic thyroid cancer (ATC) cell line, 8505c, or mantle cell lymphoma cell line, JeKo-1, significantly upregulate CSF1R (p=0.0002) compared to media control. After polarization, myeloid cells significantly inhibit TSHR-CART and CART19 antigen-specific proliferation compared to freshly isolated monocytes (p=0.012, p<0.01, respectively) indicating that suppressive myeloid cells contribute to CART failure in multiple tumor types. We then performed single cell RNA sequencing on peripheral blood taken at baseline from patients with mantle cell lymphoma treated with CART19. We found a significant increase of CSF1R on monocyte subsets in CART19 non-responders vs responders (padj=0.0037). Next, we determined the impact of CSF1R blockade on CART cell therapy in vivo. Using lymphoma models, B6 mice were engrafted with the luciferase+ CD19+ murine lymphoma cell line TBL-12 (1x106 cells i.v. 1 day after 250 mg/kg cyclophosphamide). Tumor burden was significantly reduced after 7 days of treatment with low dose CART19 (0.5x106 i.v.) + anti-mouse CSF1R antibody (16mg/kg i.p. twice weekly) vs CART19 + IgG control (p=0.0146). We then tested the impact of CSF1R blockade in mice experiencing tumor relapse. After TBL-12 engraftment, mice were treated with anti-mouse CSF1R or IgG control antibody followed two days later with high dose CART19 (1x106 i.v.) to induce remission. Mice were re-challenged with TBL-12 14 days later. Mice treated with anti-mouse CSF1R antibody showed increased tumor control and significantly higher survival (p=0.0416). Using thyroid cancer models, first we identified high macrophage infiltration in biopsy specimens of patients with ATC compared to normal thyroid tissue and benign thyroid tumors through immunohistochemistry (IHC) of patient samples (p<0.01, p<0.0001, respectively). To test if macrophages are associated with CART failure in ATC, NSG mice were subcutaneously engrafted with 1x106 TSHR+ THJ529 tumors, an ATC cell line derived from patient biopsy samples from the Mayo Clinic thyroid cancer biobank, followed by i.v. treatment with 1x107 TSHR-CART or untransduced T cell control (UTD). IHC staining of tumor tissue collected at experimental endpoints revealed a dose-dependent, significant infiltration of human CD3+ T cells into the tumors which inversely correlated with murine F4/80+ myeloid cell and murine YM-1+ M2 macrophage infiltration. This led us to hypothesize that myeloid cell targeting with CSF1R blockade can improve TSHR-CART efficacy. We utilized the same ATC model described above to test CSF1R targeting. When TSHR+ THJ529 tumors reached approximately 100 mm3, mice were randomized by tumor volume and treated with CSF1R inhibitor PLX5622 (600mg/kg) or vehicle control, followed by either UTD or TSHR-CART cells 5x106 i.v. Mice treated with TSHR-CART + PLX5622 showed significantly improved tumor control vs TSHR-CART + vehicle control (p<0.0001) or UTD + PLX5622 (p<0.0001). Together, our results highlight immunosuppressive myeloid cells which express CSF1R as a major cell type limiting CART efficacy in both solid and liquid tumors. We also identified a strategy to overcome myeloid-mediated suppression of CART cells by targeting CSF1R with antibody or small molecule inhibitors.
Predictors of symptom improvement in myeloproliferative neoplasms: A real-world retrospective cohort study
Khan, Muhammad Ali , Sarfraz, Muhammad Uzair, Sadiq, Muhammad Hussnain, Oberoi, Japneet Kaur, Camoriano, John , Yi, Cecilia Y. Arana , Blocher, Joshua, Palmer, Jeanne , Sarfraz, Muhammad Uzair, Sadiq, Muhammad Hussnain, Nahhat, Fouad , Oberoi, Japneet Kaur, Yi, Cecilia Arana , Andres, Jennifer , Kosiorek, Heidi , Riaz, Irbaz Bin

Blood | December 5, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 3823-3823

10.1182/blood-2025-3823 Get It

Abstract Introduction Persistent symptom burden in classic myeloproliferative neoplasms (MPNs) i.e., polycythemia vera (PV), essential thrombocythemia (ET) and myelofibrosis (MF) is linked to shorter survival, more thromboembolic events and impaired quality of life. Identifying demographic, clinical, laboratory, and treatment-related predictors of symptom improvement can inform risk-adapted care and guide supportive interventions. Methods Patients with PV, ET, and MF were identified through a retrospective chart review. Total symptom scores (TSS) and scores of individual symptoms were recorded at the time of first TSS assessment. Demographic (age, sex, race, ethnicity), seasonal (summer: April–September; winter: October–March), clinical (time since diagnosis, depression, obesity, spleen size), treatment-related (phlebotomy, hydroxyurea, interferon-alpha, anagrelide, JAK inhibitors, antidepressants) and laboratory (complete blood counts, serum chemistry) factors were captured at the baseline. Symptom improvement was defined as a ≥50% TSS reduction from baseline. Cumulative incidence analyses, accounting for death as a competing risk, were performed to estimate the probability and timing of symptom improvement. Multicollinearity was assessed using variance inflation factors (VIFs). Highly correlated (VIF ≥5) features and features with ≥15% missing observations were excluded. Multivariable Fine-Gray hazards regression was performed to identify predictors of symptom improvement. Sub-distribution hazard ratios (sHR) with 95% confidence intervals (CI) were computed with p-values <0.05, indicating a statistically significant association with symptom improvement. Results A total of 532 patients (PV: 195, ET: 180, MF: 157) were identified between 2019 and 2024. The median age was 65 (IQR: 57-74) for PV, 65 (52-75) for ET, and 69 (63-75) for MF. Most patients were White (PV: 178, ET: 164, MF: 145) and female (PV: 99, ET: 134, MF: 84). Fatigue was the most frequently reported symptom (PV: 161, ET: 155, MF: 136) whereas weight loss was the least reported (PV: 9, ET: 12, MF: 26). Baseline TSS was highest in MF (median: 15; IQR: 7-27) followed by PV (13; 6-25) and ET (13; 5-23). Symptom improvement was observed in 89 (46%) PV, 71 (39%) ET, and 44 (28%) MF patients. Among those who improved, the cumulative incidence of symptom improvement reached 100% by 55 months in PV, 53 months in ET, and 58 months in MF. At 6, 12, and 24 months, cumulative symptom improvement was 22%, 34%, and 57% in PV; 15%, 25%, and 43% in ET; and 19%, 28%, and 39% in MF. Median time to improvement was not reached in any group. Death before symptom improvement was observed in 5 (3%) PV, 6 (3%) ET, and 37 (24%) MF patients. Multivariable regression analyses in PV identified higher baseline TSS (sHR: 1.02; 95%CI: 1.01-1.03) as associated with symptom improvement (p = 0.02). In ET, lower white blood cell count (sHR: 0.89; 95%CI: 0.81-0.98) and less time since diagnosis (0.99; 0.98-0.99) were associated with symptom improvement (p = 0.02). In MF, more months since diagnosis (sHR: 1.01 95%CI: 1.01-1.01) was associated with symptom improvement (p = 0.01). Conclusions Symptom trajectories differed across MPN subtypes. In PV, a higher baseline symptom burden; in ET, a lower white blood cell count and more recent diagnosis and in MF, a longer disease duration were associated with symptom improvement. These readily available parameters may help inform supportive strategies, tailor response expectations, and identify patients for symptom-directed interventions or clinical trials.
Phase II study of reparixin in patients with myelofibrosis. myeloproliferative neoplasms research consortium (MPN-RC) 120 trial
Kremyanskaya, Marina , Bhave, Rupali , Mead‐Harvey, Carolyn , Johnson, Kathryn, Yu, Ashley , Hoffman, R, Gerds, Aaron T. , Kuykendall, Andrew , Wang, Eunice S. , Kosiorek, Heidi , Dueck, Amylou C. , Migliaccio, Anna Ritá , Mesa, Ruben A. , Mascarenhas, John

Blood | December 5, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 3829-3829

10.1182/blood-2025-3829 Get It

Abstract Background/rationale Primary myelofibrosis (PMF) and post-polycythemia vera/essential thrombocythemia (Post-PV/ET MF) (collectively termed MF) are chronic hematopoietic malignancies with progressive bone marrow collagen fibrosis, peripheral cytopenias, extramedullary hematopoiesis, splenomegaly, debilitating constitutional symptoms and heightened risk of transformation to acute leukemia. The only currently approved therapies for MF are JAK inhibitors (JAKi) which can provide significant improvements in splenomegaly and systemic symptoms but do not fundamentally change the pathogenesis of the disease. As a result, additional non-JAKi therapies for patients with MF after JAKi failure represent an important translational focus. Reparixin is a novel, potent and specific inhibitor of the chemokine CXCL8 (IL)-8. IL-8 is a member of a class of cytokines involved in leukocyte recruitment and activation in tissues. There are two known types of CXCL8 receptors – CXCR1 and CXCR2, which are expressed in neutrophils (Baggiolini M, Adv Immunol 1994). IL-8/CXCR1/2 signaling has been shown to be a key mediator of inflammatory signaling in MF patients. Hematopoietic stem/progenitor cells from patients with MF are enriched for a CXCL8/CXCR2 gene signature and display enhanced proliferation and fitness in response to an exogenous CXCL8 ligand in vitro. Genetic deletion or a small molecule inhibitor of CXCR2 in MF mouse adoptive transfer models ameliorates fibrosis, extends overall survival and improves hematologic parameters (Dunbar A, Blood 2023). This pre-clinical data validates targeting this pathway in clinical investigations. Study design This is an open-label, phase II study assessing the efficacy, safety, and tolerability of reparixin in patients with Dynamic International Prognostic Scoring System (DIPSS) intermediate-2, or high-risk PMF, post ET/PV MF either after prior treatment with, or those who are ineligible for treatment with a JAKi. Patients will receive oral reparixin 1200 mg three times daily on a four-week cycle for a core study period of 24 weeks. Patients who achieve at least clinical improvement (CI) or stable disease (SD) with one grade improvement in bone marrow fibrosis by International Working Group-Myeloproliferative Neoplasms Research and Treatment (IWG-MRT) criteria at the Cycle 7 response assessment may continue receiving reparixin until loss of response, disease progression, unacceptable toxicity, patients/physician withdrawal, or termination of study by sponsor. The study monitors both efficacy and toxicity using a Bayesian Optimal Phase 2 (BOP2) design. If response is observed in at least one patient out of 10 and safety is confirmed at the interim analysis, the trial will proceed to full enrollment of 26 patients. If more than three responses are observed in the total cohort, then a signal of activity is confirmed. Primary Objective: To estimate the efficacy of reparixin treatment in DIPSS intermediate-2 or high-risk subjects with PMF, post PV-MF, or post ET-MF. Secondary Objectives: To assess the efficacy of reparixin as determined by response assessment using IWG-MRT/ELN criteria at the end of Cycle 6 and Cycle 12. To assess the change in bone marrow fibrosis grade at the end of Cycle 6 and Cycle 12 with reparixin. To assess the safety of reparixin as measured by the adverse event profile of Common Terminology Criteria for Adverse Events v5.0. To assess spleen volume reduction by imaging after Cycle 6 and Cycle 12 as compared to baseline spleen volume. Key Exploratory Objectives: To evaluate changes in quality of life and patient-reported outcomes To conduct correlative studies to measure biomarkers of reparixin activity, such as Vascular Endothelial Growth Factor (VEGF) levels, bone marrow microvessel density, megakaryocyte number and peripheral blood CD34+ cell number, and patients with and without IL-8 secretion. Key inclusion criteria: Have a pathologically confirmed diagnosis of PMF, post-ET-MF, or post-PV-MF as per the WHO diagnostic criteria with intermediate-2 or higher risk disease by DIPSS Be refractory/resistant to or intolerant of/inappropriate for JAKi therapy Have adequate liver and kidney function Platelet count ≥ 25 x 109/L Bone marrow and peripheral blood blast count < 10% ANC ≥ 1000 mm3. MPN Research Consortium (MPN-RC) 120 is currently enrolling patients through the MPN-RC clinical sites throughout the United States. Clinical Trial Identifier NCT05835466
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.