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Optimizing risk stratification in patients aged 80+ years with large B-cell lymphoma: Comparison of prognostic indices in three pooled international cohorts
Vodička, Prokop , Benešová, Kateřina , Šálek, David, Lossos, Izidore S. , Prochazka, Vit, Šýkorová, Alice , Móciková, Heidi , Prouzová, Zuzana , Ďuraš, Juraj , Steinerová, Kateřina, Mwangi, Raphael , Khurana, Arushi , Galko, Jan , Polgárová, Kamila , Kořen, Jan , Obr, Aleš , Friedberg, Jonathan W. , Kaščák, Michal , Cohen, Jonathon B. , Masar, Michal, Suri, Alexandra, Nowakowski, Grzegorz S. , Hricko, Samuel, Hrušková, Andrea, Flowers, Christopher R. , Bergerova, Veronika, Blahovcová, Petra, Michalka, Jozef , Campr, Vít , Wang, Yucai , Reagan, Patrick Michael , Koff, Jean L. , Mou, Eric , Feldman, Andrew L. , Kahl, Brad S. , Tsang, Mazie , Nze, Chijioke , Maláriková, Diana , Janikova, Andrea , Martin, Peter, Syrbu, Sergei , Belada, David , Suri, Alexandra, Maurer, Matthew J. , Habermann, Thomas M. , Klener, Pavel , Cerhan, James R. , Trněný, Marek

Mayo Clinic

Blood | December 5, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 786-786

10.1182/blood-2025-786 Get It

Abstract Introduction The International Prognostic Index (IPI) is widely used to stratify risk in large B-cell lymphoma (LBCL) across all ages, with age-adjusted (aa)IPI applied to younger patients. While there have been efforts to develop prognostic indices (PIs) tailored to older patients, few are adopted in clinical practice due to their complexity and reliance on functional assessments, which are not routinely collected in real-world registry datasets. Recently proposed SENIOR-IPI (Dubois, ASH 2024) was developed for older patients with LBCL receiving anthracycline (A)-based therapy. We assessed the performance of standard and novel PIs in patients aged 80+ years and externally validated the SENIOR-IPI. Methods We harmonized and pooled data of patients aged 80+ years with newly diagnosed LBCL from a national registry and two prospective cohorts: NiHiL (Czech Republic, enrolled 2010–2023), LEO (USA; n=222, 2015–2020), and MER (USA; n=77, 2010–2015), forming a cohort of 819 individuals. We included 536 individuals with complete data on IPI components and albumin, including 485 treated with chemotherapy and 397 with A-based regimens (primary cohort). Following PIs were evaluated: IPI, NCCN-IPI, (aa)IPI, and SENIOR-IPI (age per year, aaIPI components, LDH >3x ULN as extra point, and albumin, all weighted six-fold; extranodal involvement excluded due to lack of prognostic significance). Multivariable hazard ratios (HR) were estimated using Cox proportional hazards models; discriminative ability was assessed using C-index and calibration plots. The primary endpoint was overall survival (OS); event-free survival results were consistent (230/357 events were deaths) and are not reported here. Results Among the 397 A-treated patients (median age 82 years, range 80–99), ECOG performance status (PS) 2–4 was observed in 35% of patients, clinical stage III–IV in 67%, elevated LDH in 65% (8% with >3x ULN), >1 extranodal (EN) site in 32%, and albumin levels < 3.5 g/dL in 27%. In multivariable modeling, only age per year (HR=1.07, P<0.01), and clinical stage (HR=1.36, P=0.048) were independent predictors of OS, whereas ECOG PS (HR=1.27, P=0.12), trichotomized LDH by ULN (HR=1.23, P=0.08) and albumin (HR=1.17, P=0.35) were not significant. SENIOR-IPI had the highest discrimination (C-index 0.631) in A-treated patients, outperforming IPI (0.617), NCCN-IPI (0.591), and aaIPI (0.620), with consistent results across cohorts: NiHiL (0.633), LEO (0.619), and MER (0.621). SENIOR-IPI stratified patients into low- (L-Risk, 0–9 points, 28%), low-intermediate (L-Int, 10–19 points, 42%), high-intermediate (H-Int, 20–29 points, 23%), and high-risk (H-Risk, 30–40 points, 7%) categories, with OS medians of 6.3, 3.8, 2.4, and 1.4 years, respectively (P<0.01), and significant separation between L-Int and H-Int (HR=1.47, P=0.02). By comparison, IPI categorized patients as L-Risk (12%), L-Int (24%), H-Int (27%), and H-Risk (37%), with median OS of 8.7, 4.6, 4.8, and 1.9 years, resp. (P<0.01). aaIPI yielded following distributions: 13%, 29%, 37%, and 21%; and median OS: 8.7, 5.3, 3.4, and 1.5 years; P<0.01. NCCN-IPI stratified patients into three groups: L-Int (13%), H-Int (49%), and H-Risk (39%), with respective OS medians of 8.7, 4.1, and 2.5 years (P<0.01). All PIs showed modest overestimation of mortality (calibration slopes: SENIOR-IPI 1.36; IPI 1.24; aaIPI 1.30; NCCN-IPI 1.26; intercept: -0.97, -0.87, -0.92, -0.87, resp.). In the entire cohort (n=536), SENIOR-IPI showed highest C-index (0.651 vs IPI 0.622, aaIPI 0.631, NCCN-IPI 0.606), and stratified patients into L-Risk (26%, 2-year OS: 6.4 years), L-Int (40%, 3.2 years), H-Int (24%, 1.5 years), and H-Risk (10%, 0.6 years). Calibration slope was 1.18 (intercept -0.33). Among patients not receiving chemotherapy, SENIOR-IPI also performed best (C-index 0.759 vs IPI 0.738, aaIPI 0.757, NCCN-IPI 0.728). Conclusion SENIOR-IPI enables effective risk stratification of patients aged 80+ years with LBCL into four prognostically distinct groups, outperforming traditional indices (IPI, NCCN-IPI, aaIPI) in patients receiving A-based therapy, as well as in the entire cohort and in patients not receiving chemotherapy. While its discrimination is superior, modest miscalibration suggests that future recalibration may improve precision. These findings support SENIOR-IPI as a clinically relevant prognostic tool for the elderly LBCL patient population. Funding: NU21-03-00411, P50 CA97274, U01 CA195568.
KarMMa-3 subgroup analysis in older patients with relapsed/refractory multiple myeloma treated with idecabtagene vicleucel
Arnulf, Bertrand , Patel, Krina, Manier, Salomon , Iida, Shinsuke , Hello, Sophie, Dhanda, Devender , Ghodke, Prachi, Raggi, Martina , Gallois, Roland Marion, Davis, Jaclyn , Ailawadhi, Sikander , Patel, Krina K. , Cavo, Michèle , Nooka, Ajay K. , Hello, Sophie, Rodríguez‐Otero, Paula

Mayo Clinic

Blood | December 5, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 2297-2297

10.1182/blood-2025-2297 Get It

Abstract Introduction: Chimeric antigen receptor (CAR) T-cell therapies are an effective treatment option for patients with relapsed/refractory multiple myeloma (RRMM). Idecabtagene vicleucel (ide-cel) is a B-cell maturation antigen-targeted CAR T-cell therapy approved for patients with RRMM with ≥2 prior lines of therapy. Developing a better understanding of the relationship between patient age and CAR T-cell therapy outcomes may help guide treatment and clinical practice. This analysis of data from the KarMMa-3 trial (NCT03651128) describes efficacy and safety outcomes in older and younger patients who received either ide-cel or standard therapy regimens. Methods: KarMMa-3 is an open-label, phase 3 trial that includes adults with RRMM who have received 2-4 prior treatment regimens with disease refractory to the last therapy. Enrolled patients were randomized (2:1) to receive either a one-time infusion of ide-cel or 1 of 5 standard regimens. This subgroup analysis evaluated the efficacy and safety of ide-cel compared with standard regimens in KarMMa-3 patients by age group (≥70 vs <70 yrs). Outcome measures assessed include overall response rate (ORR), progression-free survival (PFS), overall survival (OS), patient-reported quality of life (QoL), and incidence of selected adverse events. Results: A total of 386 patients were evaluated; 19.3% (49/254) of those receiving ide-cel and 20.5% (27/132) of those receiving standard regimens were aged ≥70 yrs. Compared with older patients, younger patients receiving ide-cel exhibited more high-risk baseline characteristics, including high-risk cytogenic abnormalities (44.4% vs 32.7%) and triple-class refractory disease (66.8% vs 55.1%). The median time to progression during the most recent prior anti-myeloma treatment was longer for patients aged ≥70 yrs who received ide-cel vs standard regimens (8.6 mo vs 6.7 mo) but was similar for patients aged <70 yrs (6.5 mo vs 6.9 mo). ORR for patients aged <70 yrs was 68.8% (95% CI: 62.4, 75.1) with ide-cel and 41.0% (95% CI: 31.5, 50.4) with standard regimens (P<0.0001). Patients aged ≥70 yrs treated with ide-cel achieved an ORR of 81.6% (95% CI: 70.8, 92.5) vs 48.1% (95% CI: 29.3, 67.0) with standard regimens (P<0.01). Median PFS for patients aged <70 yrs was longer with ide-cel treatment vs standard regimens (12.5 mo [95% CI: 11.2, 15.4] vs 4.2 mo [95% CI: 3.5, 5.7]; P<0.0001). Similar trends were seen in patients aged ≥70 yrs, where median PFS was 18.9 mo (95% CI: 12.1, 24.5) with ide-cel treatment and 5.7 mo (95% CI: 2.2, 12.2) with standard regimens (P<0.01). Median OS was not reached in older patients in either treatment arm; in younger patients, median OS was 39.5 mo (95% CI: 27.8, NR) with ide-cel and 27.9 mo (95% CI: 20.6, NR) with standard regimens. Incidence of adverse events reported with ide-cel treatment was generally similar between age groups for cytokine release syndrome, neurotoxicity, and infections. Analyses of patient-reported QoL data and other relevant safety endpointsare ongoing and will be included in the presentation. Conclusions: In the KarMMa-3 trial, patients aged ≥70 years derived substantial benefit from ide-cel treatment, demonstrated by longer PFS and a notable ORR compared with standard regimens. While efficacy and safety outcomes of ide-cel treatment in older patients were consistent with younger patients, it is important to note that patients in the trial aged ≥70 yrs were more likely to have favorable baseline characteristics and less aggressive and heavily pretreated disease. This may reflect a selection bias towards enrolling older patients considered to be easier to treat. In contrast, real-world data from late-line settings suggest that older patients are undergoing treatment based on less restrictive selection criteria—eg, including those with higher-risk baseline features—reflecting a more representative and broader population. These observations reinforce the potential for durable benefit with a single ide-cel infusion in a real-world context without additional adverse safety signals, supporting its use across age groups.
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.

Mayo Clinic

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.
Patterns of care in second line management of nodal peripheral T-cell lymphoma from the lymphoma epidemiology of outcomes (LEO) and molecular epidemiology resource (MER) prospective cohort Study
Aperna, Fnu, Orlando, Evelyn, Ravindra, Aditya, Akkad, Neha , Moore, J. Russell, Pongas, Georgios , Kille, Kelsey, Hamid, Muhammad Saad , Mehta-Shah, Neha, Flowers, Christopher R. , Allen, Pamela B. , Ruan, Jia , Wallace, Danielle, Ravindra, Aditya , Larson, Melissa C. , Watkins, Marcus P. , Nayak, Rahul , Mehta–Shah, Neha , Malpica, Luis , Cerhan, James R. , Maurer, Matthew J. , Feldman, Andrew L. , Mou, Eric , Bennani, N. Nora

Mayo Clinic

Blood | December 5, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 3635-3635

10.1182/blood-2025-3635 Get It

Abstract Background Nodal peripheral T-cell lymphomas (nPTCLs) are a challenging group of non-Hodgkin lymphomas that frequently recur after or are refractory to first line (1L) treatment. Chemotherapy options in the relapsed or refractory (R/R) setting are limited. The incorporation of non-cytotoxic agents including antibody drug conjugates, immune checkpoint inhibitors, epigenetic modifiers, and phosphatidylinositol 3-kinase inhibitors offers new therapeutic potential and possibly better outcomes. We report on outcomes for patients (pts) with R/R nPTCL enrolled in the multi-center LEO-MER prospective cohort study (NCT02736357) who received second line (2L) therapy. Methods Six hundred and three adult pts with newly diagnosed nPTCL were prospectively enrolled in the University of Iowa/Mayo Clinic MER observational cohort (2002-2015) or the expanded LEO cohort (2015-2020). Secondary overall survival (sOS) was calculated from date of 2L treatment initiation to date of death or last follow-up. Secondary event-free survival (sEFS) was calculated from date of 2Ltreatment initiation to disease progression, initiation of 3rd line therapy, or death from any cause. sEFS and sOS were evaluated using Cox model and Kaplan-Meier estimator. Log-rank test was used to test the significance of difference between groups. Pts with concomitant B-cell lymphomas were excluded from this analysis. Results Thus far, 169 pts with nPTCL initiating 2L therapy were evaluated. Of these, 75 (44.4%) had PTCL-NOS, 63 (37.3%) had angioimmunoblastic T-cell lymphoma (AITL, inclusive of nodal T-follicular helper cell lymphoma), 20 (11.8%) had ALK-negative anaplastic large cell lymphoma (ALCL), and 11 (6.5%) had ALK-positive ALCL. At 2L treatment initiation, the median age was 64 with 86.1% of pts having advanced stage disease. Of the 108 pts with available international prognostic index (IPI) scoring, 46.3% had an IPI of ≥3. Thirty-four (20.1%) pts had received a consolidative autologous stem cell transplant (ASCT) in the 1L. A total of 86 pts (50.1%) had primary refractory disease (partial response, stable or progressive disease as best response to 1L therapy), 45 (26.6%) experienced early relapsing disease within 6 months of 1L therapy, and 38 (22.5%) had relapsed disease >6 months from 1L therapy. After a median follow-up of 7.1 years (yrs), median sOS was 1.52 yrs, and sEFS was 3.2 months (mos). There was no difference in sOS or sEFS regardless of timing of relapse. In keeping with other studies, ALK-positive ALCL pts had the best 5-year OS (70.1%) compared to other subgroups (ALK-negative ALCL 45.0%, AITL 30.4%; PTCL-NOS 21.3%). Lymphoma was the leading cause of death following 2L therapy, with a 2-year cumulative incidence of 49.2%. Eighty pts (47.3%) received only cytotoxic chemotherapy as second line (2L) therapy; ICE (41 (51.3%)) and gemcitabine-containing regimens were most common (14 (17.5%)). Seventy-five pts (44.4%) were treated with non-cytotoxic agents given as monotherapy or in combination with chemotherapy. The most common non-cytotoxic therapies were brentuximab vedotin (33 (44.0%)), romidepsin (17 (22.7%)) and immune checkpoint inhibitors (9 (12.0%)). Fourteen pts (8.3%) underwent palliative interventions involving radiation, steroids, or cyclosporine alone. Intent to proceed to transplant in the 2L was known in 158 pts (101 (63.9%) not intended, 57 (36.1% intended)). Following 2L treatment, 18 (10.7%) pts proceeded to consolidative ASCT and 10 (5.9%) to allogeneic transplant. Only 21 (12.9%) were treated on a clinical trial. Pts who received a non-cytotoxic agent had superior outcomes compared to pts receiving only chemotherapy; the median sOS was 30.4 mos (95% confidence interval [CI] 15.3, 53.52 mos) vs 11.7 mos ((95% CI 7.95,19.58); p=0.04; HR 0.67) and the median sEFS was 4.83 mos (95% CI 3.38, 10.09) vs 2.33 mos ((95% CI 1.71,3.02); p=0.02; HR=0.65). Conclusions We report here one of the largest prospective cohorts in R/R nPTCL. The LEO-MER cohort, despite its association with academic centers, shows poor outcomes regardless of refractory or relapsed disease, frequent inability to proceed to intended consolidative transplant, and low clinical trial participation in 2L, which corroborates findings from other registries (Jain 2025, Stuver 2019). Outcomes improved for pts treated with non-cytotoxic agents. Updated data including additional pts and subgroup analyses will be reported at the meeting.
Plasmacytoid dendritic cell-associated acute myeloid leukemia (pDC-AML) a comprehensive review
Abdalla, Azza, Al‐Mashdali, Abdulrahman , Hilmi, Feryal, Gangat, Naseema , Soliman, Dina A. , Fareed, Shehab, Al-Mashdali, Abdulrahman F , Ravandi, Farhad , Soliman, Dina

Mayo Clinic

Blood | December 5, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 6925-6925

10.1182/blood-2025-6925 Get It

Abstract Background: Plasmacytoid dendritic cell-associated acute myeloid leukemia (pDC-AML) is an emerging, rare subtype of AML characterized by the clonal proliferation of plasmacytoid dendritic cells (pDCs) at various stages of maturation. Although infrequent, this leukemia subtype is clinically aggressive and poses significant diagnostic and therapeutic challenges. Objective: This review synthesizes current knowledge on the immunophenotypic, genetic, and clinical features of pDC-AML, explores its prognostic implications, and compares it with the related entity blastic plasmacytoid dendritic cell neoplasm (BPDCN). Methods: A comprehensive literature search was conducted using databases including PubMed, Scopus, and Web of Science. Studies describing the morphology, immunophenotype, cytogenetics, molecular alterations, clinical presentation, and treatment outcomes of pDC-AML were included. Data were extracted and compiled from 16 studies encompassing 231 patients. Results: pDC-AML predominantly affects older adults (median age ~69 years) and exhibits a male predominance (~68%). It presents with diverse AML subtypes, including AML with monocytic differentiation, minimal differentiation, and secondary AML. Bone marrow pDCs range from 2.2% to 30% and exhibit variable maturation, often expressing CD123, CD303, CD304, and variably CD34 and CD117. In contrast to BPDCN, CD56 is rarely expressed, and skin or lymph node involvement is uncommon. Genetically, pDC-AML exhibits a complex landscape. RUNX1 mutations are the most common (14–78%), possibly driving pDC lineage commitment. Additional mutations include ASXL1, DNMT3A, SRSF2, FLT3, and BCOR. Chromosomal abnormalities such as chromosome 7 deletions, trisomy 13, and MLL or CBFA rearrangements are frequently observed. Compared to BPDCN—which shows high CD56 and TCL1 expression and more frequent TET2 mutations—pDC-AML is more genetically and phenotypically heterogeneous. Therapeutic responses are inconsistent. Treatments include induction chemotherapy, hypomethylating agents (e.g., azacytidine plus venetoclax), and allogeneic hematopoietic stem cell transplantation (allo-HSCT). Median overall survival ranges from 9.6 to 20 months, with frequent relapse even post-HSCT. Emerging therapies targeting CD123 (e.g., tagraxofusp) and immune-modulating agents are under investigation. Conclusion: pDC-AML is a clinically aggressive and biologically distinct AML subtype defined by clonal pDC expansion, frequent RUNX1 mutations, and suboptimal responses to current therapies. Accurate diagnosis relies on integrated immunophenotypic and genetic profiling. Despite progress, patient outcomes remain poor, underscoring the need for improved classification, prognostic markers, and targeted therapeutic strategies.
Survival difference among patients with large B-cell lymphoma (LBCL)  based on first-line clinical trial participation: A multi-institutional analysis of 8 academic institutions in the lymphoma epidemiology of outcomes (LEO) cohort
Cohen, Jonathon B. , Friedberg, Jonathan W. , Lossos, Izidore S. , Martin, Peter W., Thompson, Carrie A. , Flowers, Christopher R. , Nze, Chijioke , Andersen, Clark R. , Maurer, Matthew J. , Larson, Melissa C. , Koff, Jean L. , Habermann, Thomas M. , Martin, Peter, Kahl, Brad S. , Jaye, David L. , Feldman, Andrew L. , Cerhan, James R.

Mayo Clinic

Blood | December 5, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 895-895

10.1182/blood-2025-895 Get It

Abstract Background: Despite advances in LBCL treatment, 35–45% of patients relapse or have refractory disease highlighting an unmet clinical need. Clinical trials are essential to advancing lymphoma treatment, yet participation remains low – especially among certain populations. We hypothesized that participation in clinical trials as part of first-line therapy is associated with improved survival outcomes and conducted this retrospective study in a multi-center cohort. Methods: The LEO cohort prospectively enrolled newly diagnosed patients with LBCL between 2015 and 2020 at 8 academic medical centers in the United States. LBCL histology's included T-cell/histiocyte rich LBCL, Primary mediastinal LBCL, high grade B-cell lymphoma and DLBCL NOS. Pathology was reviewed and classified by a LEO pathologist. Clinical and treatment data (including trial participation) were abstracted from medical records. The primary outcome endpoint is overall survival (OS) defines as the time from diagnosis to death from any cause or last follow up. Univariable and multivariable Cox proportional hazards models were used to evaluate the association between OS and therapeutic trial participation. Univariable models assessed each baseline covariate, with and without interaction with trial participation. The multivariable model adjusted for age, sex, race/ethnicity, diagnosis to treatment interval [DTI], and IPI, including an interaction between IPI and trial participation which was justified per minimal Akaike information criteria. All models clustered on institution. Results: Among the 2636 patients with LBCL, the median age was 63 (range 18 – 99), 57% were male, 75% non-Hispanic white (NHW), 12% Hispanic (H) and 7.3% African American (AA), 62% had Stage III/IV disease, and 214 (8.0%) participated in a clinical trial as part of first line therapy. Overall, between ages 18 – 80, clinical trial participation increased with age (55 % in ages 18-30 vs 11% in ages 71-80) but dropped significantly for patients > 80 (3.4%). There were no significant differences in the rate of trial participation by sex (male 8.6 % vs female 7.5%; p=0.35), race/ethnicity (NHW 8.9% vs H 5.5% vs AA 6.3%; p=0.061), body mass index (underweight [<18.5] 4.5% vs normal [18.5-24.9] 7.7% vs overweight [25-29] 8.3% vs obese (>30) 8.5; p = 0.75) or Rural-Urban Continuum Codes (Metro[1-3] 8.5% vs non-metro Urban [4-6] 7.6% vs non-metro Rural [7-9] 5.4 %; p=0.49). Patients with advanced disease more commonly participated in a trial. Most patients received systemic treatment (98%), with 94% of patients receiving an anti-CD20 antibody and 91% of patients receiving anthracycline-based therapy. Importantly, there was no difference in anthracycline use in trial participants vs nonparticipants (92 vs 91%; p=0.53). Patients with high IPI scores [3-5] were more likely to participate on trials compared to those with low scores [1-2] (8% vs 5.9% respectively, p= 0.012). Patients who participated in clinical trials had significantly longer median DTI (26 days vs 21 days; p <0.0001) and had a significantly lower number of comorbidities compared to non-participants (mean 0.55 vs. 0.69; p=0.032). Among patients with low IPI (0–2), 5-year OS was 89% trial participants (CTP) compared to 82% for non-participants (CTNP). Among patients with high IPI (3–5), 5-year OS was 78% for CTP vs 60%for CTNP. The multivariable Cox model demonstrated a significant interaction between trial participation and IPI, with trial participation with low IPI having a non-significant hazard ratio (HR) of 0.87 with 95% CI (0.57,1.32), while trial participation with high IPI had a significant HR of 0.57 (0.44, 0.74). Additionally, increased age, male sex, black race, and lower DTI were associated with increased hazard. Conclusion: Patients at high risk of poor outcomes such as those with advanced age (80+), higher comorbidities burden, and those needing more urgent therapy (shorter DTI) were less likely to participate in clinical trials. In this multi-institutional cohort of patients with LBCL treated at academic centers, frontline trial participants had outcomes that were equivalent or better than those receiving standard care. These finding underscore the value of clinical trial participation even in the frontline setting and support trial designs that expand inclusion- allowing participation of patients who are older, medically complex or in need urgent therapy.
Outcomes of T-cell/histocyte-rich large B-cell lymphoma (THRLBCL): An international LEO/MER and NiHiL collaborative study
Alderuccio, Juan Pablo , Benešová, Kateřina , Móciková, Heidi , Martin, Peter , Steinerová, Kateřina, Patel, Dilan A. , Ďuraš, Juraj , Cohen, Jonathon B. , Šálek, David, Kořen, Jan , Suri, Alexandra, Šýkorová, Alice , Michalka, Jozef , Prouzová, Zuzana , Blahovcová, Petra, Campr, Vít , Flowers, Christopher R. , Lossos, Izidore S. , Friedberg, Jonathan W. , Nowakowski, Grzegorz S. , Vodička, Prokop , Koff, Jean L. , Janikova, Andrea , Maurer, Matthew J. , Belada, David , Cerhan, James R. , Procházka, Vít , Habermann, Thomas M. , Larson, Melissa C. , Feldman, Andrew L. , Suri, Alexandra, Reagan, Patrick Michael , Maláriková, Diana , Wang, Yucai , Jaye, David L. , Mou, Eric , Chihara, Dai , Trněný, Marek

Mayo Clinic

Blood | December 5, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 898-898

10.1182/blood-2025-898 Get It

Abstract Introduction: THRLBCL is a rare disease accounting for less than 10% of all diffuse large B-cell lymphoma (DLBCL) subtypes. THRLBCL was associated with poor outcomes in the pre-rituximab era, with limited contemporaneous data. Optimal frontline treatment remains unclear with some studies advocating for intensive regimens. The goal of this international study is to analyze the survival and treatment-related outcomes in patients with newly diagnosed THRLBCL treated with rituximab-containing chemotherapy and to compare with a DLBCL, not otherwise specified (NOS) cohort. Methods: THRLBCL and DLBCL patients prospectively enrolled in the Lymphoma Epidemiology of Outcomes (LEO) (NCT02736357) (7/2015 to 5/2020), Molecular Epidemiology Resource (1/2010 to 6/2015), and Czech Lymphoma Study Group project (NiHiL) (NCT03199066) (2/2010 to 11/2023) were analyzed. Diagnosis was made in dedicated hematopathology centers in both registries. We excluded patients with prior nodular lymphocyte-predominant Hodgkin lymphoma, central nervous system involvement, and not treated with rituximab-containing therapy. Event-free survival (EFS) and overall survival (OS) were estimated by Kaplan-Meier.Univariate associations were derived via Cox model and multivariate models were constructed by forward selection of significant variables with P≤0.05. Propensity score matching (1:5, caliper 0.2) between THRLBCL and DLBCL NOS patients was performed using IPI score components and treatment as covariates. Results: We identified 158 patients (LEO: 67 and NiHiL: 91) with THRLBCL. Among them, 140 patients received rituximab-containing regimens and were included in this analysis. Median age was 58 years (range, 19-89) with 57% aged ≤60 years. Most patients were male (n= 88; 63%) and had ECOG performance status (PS) of 0-1 (n= 111; 79%), stage III-IV (n= 111; 79%), elevated LDH (n= 92; 66%), and B symptoms (n= 84; 60%). Fifty (36%) patients had ≥2 extranodal (EN) sites, mostly liver (n= 39; 28%) and lung (n= 16; 11%), bone marrow (BM) involvement was observed in 26% (n= 37). Bulky disease (≥7.5cm) was present in 50 (36%) and IPI score ≥3 in 68 (48%) patients. The median diagnosis-to-treatment interval was 23 days (IQ range, 13-38.5). Frequent regimens were R-CHOP (n= 106; 75.7%), followed by intensive regimens such as R-MegaCHOP/ESHAP, R-HyperCVAD/MA, and R-CODOX-M/IVAC (n= 15; 10.7%), and R-CHOEP/EPOCH-R (n= 10; 7.14%). With a median follow-up of 3.92 years, the 4-year EFS & OS were 71% and 80%, respectively. Lymphoma was the main cause of death (n= 15; 11%) among 30 events. No difference in 4-year EFS (70% vs. 76%; P= 0.55) & OS (80% vs 82%; P= 0.96) were observed between R-CHOP and intensive regimens. Factors associated with shorter EFS and OS in univariate analysis for THRLBCL were ECOG PS 2-4: (HR= 3.3; P<.001 & HR= 5.97, P<.001, respectively); ≥2 EN sites (HR= 1.85, P= 0.043 & HR= 2.54, P= 0.014, respectively); B symptoms (HR= 2.35, P= 0.014 & HR= 2.84, P= 0.023) and IPI score (HR= 1.5, P= 0.002 & HR= 2.16, P<.001). Stage III-IV and BM involvement were associated with shorter OS only (HR= 7.36, P= 0.05 & HR= 2.18, P= 0.036, respectively). Among them, only ECOG PS 2-4 (OS: HR= 3.6, P= 0.003) and B symptoms (EFS: HR= 2.3, P= 0.046) were independent predictors of survival in multivariate analysis. Finally, we compared baseline characteristics and survival between THRLBCL (n= 140) and DLBCL NOS (n= 6099; LEO/MER: 2069 & NiHiL: 4030) treated with rituximab-containing regimens. Patients with THRLBCL were younger (≤60 years: 57% vs. 38%; P<.001), more frequently had ECOG PS 0-1 (79% vs 76%; P= 0.012), stage III-IV (79% vs 63%; P<.001), B symptoms (60% vs 38%; P<.001), and liver involvement (28% vs 7%; P<.001), compared to DLBCL NOS. Subtype was not associated with survival (OS HR= 0.79, P= 0.262 & EFS HR= 0.93, P= 0.662) when adjusted for IPI score. With a median follow-up of 4.89 years in the DLBCL NOS cohort, we observed similar 4-year EFS (71% vs 67%; P= 0.197) & OS between histologies (80% vs 77%; P= 0.125). These results were confirmed in propensity matching for EFS (HR= 0.98, P= 0.897) and OS (HR= 1.07, P= 0.732). Conclusions: In this large international analysis of patients with newly diagnosed THRLBCL contemporaneously treated, we observed similar survival rates compared to DLBCL NOS treated with R-CHOP and intensive regimens. ECOG PS and the presence of B symptoms were independent factors associated with survival.
Multicenter assessment of absolute neutrophil counts (ANC) and white blood cell counts (WBC) in healthy participants with the erythrocyte duffy null phenotype or genotype
Attipoe, Gilles, Blechner, Michael, Cuker, Adam , Fadeyi, Emmanuel A. , Forbes, Victoria , Francischetti, Ivo M.B. , Gadi, Vijayakrishna K. , Haimed, Abraham , Han, Hyojeong , Haspel, Richard L. , Karafin, Matthew S. , Klein, Kimberly, Kumar, Priyadarshini , Kushnir, Margarita , Lewis, Michael R. , Li, Geling , Brzostek, Sabrina, Rose, Gary S. , Siddon, Alexa J. , Sillings, Christine N., Soni, Amy , Stevens, Don A., Szymanski, James , Takemoto, Clifford M., Warsame, Rahma , Zaghloul, Nibal, Belay, Yadashe, Fink, Aliza K., Frustace, Patricia, Tyson, Jamie, Havre, Nathalie van , Achebe, Maureen , Merz, Lauren E. , Barriteau, Christina M. , Blechner, Michael, Burks, Eric , Calhoun, Cecelia L. , Campbell-Lee, Sally , Chang, Vivian Y. , Chou, Stella T. , Fingrut, Warren , Godby, Richard , Godley, Lucy A. , Ilonze, Chibuzo , Jacquot, Cyril , Ji, Peng Cheng , Juskewitch, Justin E. , Kucine, Nicole , Levitz, David , Lewis, Michael, Mei, Zhen W. , Rose, Gary, Schultz, Corinna L. , Sloan, J. Mark , Story, Charlotte McIlwaine , Thompson, Alexis A. , Weyand, Angela C. , Wilson, Samuel , Belay, Yadashe, Tyson, Jamie

Mayo Clinic

Blood | December 5, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 1074-1074

10.1182/blood-2025-1074 Get It

Abstract Introduction: The Duffy null variant (genotype or phenotype) is associated with lower circulating absolute neutrophil counts (ANC) without increased risk for infection. It is found in ~66% of people identifying as Black or African American vs <1% of people of Asian or European ancestry. Many ANC reference intervals (RI) are not representative of the Duffy null population. There are no adult Duffy null WBC RI and no pediatric Duffy null ANC or WBC RI. Thus, we aimed to assess Duffy null ANC and WBC distributions as well as develop WBC and ANC RI for adults and pediatrics. Methods: Twenty-three sites across the United States collected samples with all sites excluding participants with conditions or medications that could impact ANC or WBC. Only Duffy null participants were included. Sex, race, ethnicity, age, sample collection type, practice setting, Duffy testing method, ANC, and WBC were recorded. The non-parametric method for determining lower limit of normal (LLN), upper limit of normal (ULN), and 90% confidence intervals (CI) around the limits was performed according to the Clinical and Laboratory Standards Institute guidelines. Specific ULN and LLN are not reported as these are preliminary data. The Mann-Whitney U test was used to compare sex and prior data; differences by age groups were assessed with Kruskal-Wallis test. Results: 316 participants 18+ years-old (y/o) were assessed of whom 62.3% (n=197) are female, 97.5% (n=308) identified as Black or African American, and 94.9% (n=300) identified as non-Hispanic. Median age was 47 y/o (IQR: 32-60.5). Median ANC was 2600/uL (IQR: 1860-3530; range: 400-7400); 28.6% (n=90) of participants had ANC <2000/uL, 13.6% (n=43) had ANC <1500/uL, and 2.5% (n=8) had <1000/uL. The 90% CI around the LLN was 810-1070/uL and 5570-7130/uL around the ULN. Consistent with prior data, there was a difference in median ANC by sex (male: 2400/uL; female: 2710/uL; p=0.02). There was no significant difference between this ANC data and previously published Duffy null ANC data (p=0.28). Median WBC was 5.4x109/L (IQR: 4.4-6.5; range: 2.10-11.64) with 4.1% (n=13) of participants with WBC <3.0x109/L. The 90% CI around the LLN is 3.68-4.30x109/L and 11.02-12.97x109/L around the ULN. 515 participants between 0-17 y/o were assessed with 51.8% (n=267) females, 94.8% (n=488) identified as Black or African American, and 94.0% (n=484) identified as non-Hispanic. Among pediatric participants, 56.8% (n=291) had ANC <2000/uL, 38.7% (n=198) had ANC <1500/uL, and 14.4% (n=74) had ANC <1000/uL. For those <1 y/o (n=29), median ANC was 950/uL (IQR: 840-1360; range: 111-3910). There are currently too few samples to predict ULN and LLN. Median WBC was 8.85x109/L (IQR: 7.03-10.16; range: 4.17-13.53). For those 1-5 y/o (n=143), median ANC was 1735/uL (IQR: 1100-2550; range: 207-5810) with a 90% CI around the LLN of 207-820/uL and 4020-5810/uL around the ULN. Median WBC was 6.72x109/L (IQR: 5.64-8.25; range: 3.68-12.97). For those 6-11 y/o (n=128), median ANC was 1590/uL (IQR: 1090-2470; range: 420-5490) with a 90% CI around the LLN of 420-910/uL and 4340-5490/uL around the ULN. Median WBC was 5.42x109/L (IQR: 4.45-6.70; range: 2.80-10.50). For those 12-17 y/o (n=215), median ANC was 2190/uL (IQR: 1460-2930; range: 204-5850) with a 90% CI around the LLN of 540-930/uL and 4350-5510/uL around the ULN. Median WBC was 5.06x109/L (IQR: 4.26-6.20; range of 2.04-9.91). There is a significant difference in ANC by age category (p<0.0001). Conclusion: This is the first report of healthy pediatric Duffy null ANC and WBC data and the first large-scale verification of adult Duffy null ANC and WBC data. Final RI are expected in September 2025. Among adults with the Duffy null phenotype, ANC LLN are likely between 810-1070/uL. Pediatric ANC LLN are likely as low as 207-820/uL (1-5 y/o), 420-910/uL (6-11 y/o), and 540-930/uL (12-17 y/o). These findings redefine “normal” as a significant proportion of healthy participants have ANC or WBC below current RI or below thresholds typically defined as disease. Limitations include heterogeneous sample populations and collection methods. Future analyses will assess differences between collection sites or methods. Ultimately, this work lays the foundation for a more scientifically sound and equitable approach to medical care by ensuring that RI accurately reflects health for the entire community. Healthcare systems are strongly encouraged to adopt Duffy null-specific ANC and WBC RI.
Increased yield of recurrent structural variants (SVs) in Ph-like B-cell acute lymphoblastic leukemia (B-ALL) using a streamlined clinical whole-genome sequencing (WGS) assay
Du, Feiyu, O’Laughlin, Michele, Sprenger, Gregory, Mahgoub, Mohamed , Davarapalli, Nidhi, Struthers, Heidi, Manring, Christopher S. , Yin, Jun , Dinner, Shira, Stone, Richard M. , Konopleva, Marina , Eisfeld, Ann‐Kathrin , Schroeder, Molly C. , Duncavage, Eric J., Spencer, David H. , Hughes, Andrew , Sprenger, Gregory, Abel, Haley , Harvey, Richard C. , Saygin, Caner , Yang, Jun , DeAngelo, Daniel J. , Advani, Anjali S. , Stock, Wendy , Uy, Geoffrey L.

Mayo Clinic

Blood | December 5, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 1590-1590

10.1182/blood-2025-1590 Get It

Abstract Introduction Ph-like B-ALL is a poor-risk B-ALL subtype defined by gene expression signatures that resemble the BCR::ABL1-associated transcriptional program in the absence of the BCR-ABL1 oncoprotein. Recent studies have demonstrated that up to 80% of Ph-like B-ALLs have recurrent gene fusions involving cytokine receptors or tyrosine kinases that can be identified via cytogenetics, fluorescence in situ hybridization (FISH) or RNA sequencing. However, the inability to rapidly and accurately identify these alterations in the clinical setting is a major impediment to developing therapeutic strategies that may have efficacy in this B-ALL subtype. Here we used 88 patient (pt) samples to validate a rapid, streamlined clinical WGS assay (ChromoSeq) for B-ALL and assessed the diagnostic yield for Ph-like-associated SVs in 136 pts enrolled in the Alliance A041501 clinical trial. Methods ChromoSeq is a clinical WGS assay for hematologic malignancies that uses rapid laboratory workflows and focused analysis methods to identify clinically relevant SVs, copy number alterations and gene-level mutations. We updated the ChromoSeq pipeline for use in B-ALL pts and validated it using 88 retrospective B-ALL samples (80 adult/young adult and 8 pediatric from Washington University School of Medicine and St. Louis Children's Hospital), 54 of which were analyzed via RNAseq for gene fusions and a 6-gene Ph-like B-ALL signature (CA6, SPATS2L, MUC4, JCHAIN, BMPR1B, ADGRF1, NRXN3 and CRLF2). The “ChromoSeqV2” assay was then used to analyze 136 pretreatment blood or bone marrow samples from the Alliance A041501 (trial NCT03150693). These results were compared to data from RNAseq obtained for research purposes (N=35), clinical cytogenetics (N=69) and Ph-like classification via low-density microarray (LDA) card analysis (all pts). Results ChromoSeqV2 was validated in a CLIA-licensed setting using cohort of 88 retrospective B-ALL samples, 45 of which had ICC and WHO class-defining SVs based on G-banded karyotyping, FISH or RNAseq. ChromoSeqV2 detected 100% of the non-Ph-like SVs (37/37), including BCR::ABL1 (N=20), KMT2Ar (N=9), ETV6::RUNX1 (N=3), TCF3::PBX1 (N=1), and rearrangements involving MYC (N=2) or MEF2D (N=2). Fifteen patients met criteria for Ph-like B-ALL via cytogenetics or RNAseq either due to rearrangements of CRLF2 (N=5), JAK2 (N=2) or ABL2 (N=1) or high expression of a 6-gene Ph-like signature (N=7). ChromoSeqV2 detected a Ph-like SV in 93% of these cases (14/15) with 100% specificity in samples negative by RNAseq (N=23). ChromoSeqV2 was then used to profile 136 samples from the Alliance A041501 trial, where it identified ICC and WHO class-defining SVs in 87 pts (64%; 95% CI: 55-72%), including Ph-like SVs (56/136, 41%), KMT2A rearrangements (N=5), TCF3::PBX1 (N=3) and SVs involving MYC (N=3), MEF2D (N=2), DUX4 (N=2), and ZNF384 (N=1). Ph-like SVs were dominated by CRLF2 rearrangements (N=45) and included SVs involving EPOR (N=4), JAK2 (N=3), ABL1/ABL2 (N=2) and PDGFRB (N=1). IGH was the most common CRLF2 partner (N=32), followed by P2RY8::CRLF2 (N=7) and other genes (N=5). Multiple CRLF2 SVs were detected in 4 pts, and 33% (15/45) of pts with a CRLF2 rearrangement had a co-occurring CRLF2 gene mutation. The yield of ChromoSeqV2 for SVs in pts with the Ph-like expression signature via LDA card analysis was 66% (54/82; 95% CI 55%-76%) compared to 24% (11/45; 95% CI 13%-40%) by cytogenetics when these studies were successful and 70% (12/17; 95% CI 44%-90%) vs RNAseq in pts with available data. The sensitivity of ChromoSeqV2 for Ph-like SVs identified by either cytogenetics, FISH or RNAseq was 100% (21/21; 95% CI 84%-100%) and the positive predictive value of Ph-like SVs for the Ph-like expression signature by the LDA card assay was 96% (54/56; 95% CI 88%-99%). Conclusions Genomic assessment of 136 B-ALL pts from the Alliance A041501 trial using the ChromoSeqV2 rapid clinical WGS assay was 100% sensitive for Ph-like SVs identified by other molecular methods and had a 96% PPV for the Ph-like expression signature via LDA card analysis. The diagnostic yield of SV pts with the Ph-like signature was 66% using ChromoSeqV2, which was similar to RNAseq and superior to cytogenetics. These results demonstrate that ChromoSeqV2 is an effective approach for identifying potentially targetable rearrangements in B-ALL pts suspected of having the Ph-like phenotype. Support: U10CA180821, U10CA180882; . Servier; Pfizer.
Long-term rusfertide treatment in polycythemia vera: Initial results from the phase 2 THRIVE extension study
Pemmaraju, Naveen , Ritchie, Ellen K. , Palmer, Jeanne , Oubre, D., Vosganian, Gregory, Gupta, Suneel , Oyuela, Pedro, Khanna, Sarita, Molina, Arturo , Kremyanskaya, Marina , Kuykendall, Andrew , Gotlib, Jason , Gerds, Aaron T. , Nath, Uttam Kumar

Mayo Clinic

Blood | December 5, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 3810-3810

10.1182/blood-2025-3810 Get It

Abstract Background: Polycythemia vera (PV) is a myeloproliferative neoplasm characterized by red blood cell overproduction. In the phase 2 REVIVE study (NCT04057040), rusfertide was superior to placebo in achieving hematocrit (Hct) levels <45% and reducing or eliminating the need for therapeutic phlebotomy (PHL) in patients (pts) with PV who were PHL dependent prior to study entry (Kremyanskaya M, et al. N Engl J Med. 2024;390(8):723-35). During the open-label extension portion of REVIVE (Part 3), combining rusfertide and PHL with or without cytoreductive therapy (CRT) controlled erythrocytosis, provided long-term control of Hct, and was associated with a greater than 8-fold reduction in the estimated annual PHL rate (Gerds AT, et al. Blood. 2024;144(Suppl. 1):4559). Pts who participated in REVIVE Part 3 were eligible to transition to the open-label phase 2 THRIVE extension study (NCT06033586) and receive up to 2 additional years of rusfertide treatment. Our objective is to present initial results describing the long-term durability of response and safety profile of rusfertide in pts with PV who participated in REVIVE and transitioned to THRIVE. Methods Pts with PV who participated in REVIVE, completed ≥12 months of rusfertide therapy, and had an end-of-treatment visit were eligible to transition to THRIVE. Pts who enrolled in THRIVE continued to receive subcutaneous rusfertide once weekly with or without CRT. Median Hct and the number of PHLs each pt received were assessed in all pts who received ≥1 dose of rusfertide and had ≥1 efficacy assessment on study. Safety data were also collected, including treatment-emergent adverse events (AEs), serious adverse events (SAEs), non-PV malignancies, and thromboembolic events (TEs). New-onset AEs (ie, AEs that were reported in THRIVE but not REVIVE) were also recorded. Results: Forty-six/58 pts (79%) who enrolled in Part 3 of REVIVE transitioned to THRIVE. At the data cutoff date (27 May 2025), 44 of the 46 pts (96%) who enrolled in THRIVE remained on study. Median (range) age was 58 (27-77), and the majority were male (74%). More than half (57%) had high-risk PV; 54% of pts were on concurrent CRT. Median (range) treatment duration in THRIVE was 48 (22-66) weeks; median (range) treatment duration in REVIVE and THRIVE combined was 198 (154-267) weeks, or 3.8 (3.0-5.1) years. At baseline, mean (standard deviation [SD]) Hct was 42.3% (3.7) in THRIVE. At Week 60, mean (SD) Hct was 43.0% (4.2). In addition, mean hemoglobin and erythrocyte levels remained stable throughout THRIVE. Prior to study entry in REVIVE, the mean (SD) annualized PHL rate (ie, PHL/year) for the 46 pts who eventually rolled over to THRIVE was 9.2 (5.2) PHL/year. The mean (SD) annualized PHL rate during REVIVE Part 3 and THRIVE was 0.6 (0.8) and 0.7 (1.1) PHL/year, respectively. Overall, the most common AEs in the pts who participated in REVIVE and THRIVE were Grade 1-2 injection site reactions (87%), fatigue (59%), COVID-19 (50%), pruritus (44%), arthralgia (39%), dizziness (35%), anemia (30%), paresthesia (28%), headache (26%), abdominal pain and nausea (24% each), and diarrhea, dyspnea, and upper respiratory tract infection (22% each). In THRIVE, the most common new-onset AEs were anemia (20%) and fatigue (15%). Twelve pts (26%) had a prior history of non-PV cancer. Six pts (13%) had a new-onset cancer event, including basal cell carcinoma (n=3; 7%), squamous cell carcinoma (n=2, 4%), non-invasive bladder cancer (n=1, 2%), and multiple myeloma (n=1; 2%). Of these 6 pts, 5 (83%) had a prior history of non-PV cancer. Nine pts (20%) had a history of TEs prior to enrolling in REVIVE. One patient with cardiovascular risk factors and a TE prior to enrollment in REVIVE had a new-onset TE of cerebrovascular accident in THRIVE. Overall, there were no TEs in pts with low-risk PV in either REVIVE or THRIVE. Conclusions: After transitioning to THRIVE, continued treatment with rusfertide with or without CRT demonstrated consistent, long-term Hct control with reduced therapeutic PHLs compared to baseline. With a median of 3.8 years of treatment, rusfertide's safety profile was consistent with prior observations. Support Protagonist Therapeutics, Inc.