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Keyzner, Alla

https://orcid.org/0000-0001-6272-8257

Mayo Clinic

Memorial Sloan Kettering Cancer Center

Citations 5

Clonal persistence and early cooperative mutations shape transformation in myelofibrosis
Farnoud, Noushin , Menghrajani, Kamal , Famulare, Christopher , Dunbar, Andrew , Gangat, Naseema , Gupta, Vikas, Arruda, Andrea , Manshouri, Taghi , Ho, Vincent T. , Deeg, Joachim, Monahan, Thomas S. , Jain, Tania , Palmer, Jeanne , Keyzner, Alla , Gomez-Arteaga, Alexandra, Tamari, Roni , Ajufo, Helen, Kosuri, Satyajit, Ali, Haris , Amanam, Idoroenyi , Chervin, Jordan , Patel, Minal, Sereewattanawoot, Sarun, Abdelmagid, Maymona, Abdelrheem, Ahmed, Bashir, Yassin, Yousuf, Muhammad , Pardanani, Animesh , Viges, Kapila, Shoultz, David, Winneker, Rick, Levine, Ross, Papaemmanuil, Elli , Vannucchi, Alessandro M., Tefferi, Ayalew , Rampal, Raajit K. , Guglielmelli, Paola , McGovern, Erin , Loscocco, Giuseppe Gaetano , Derkach, Andriy , Verstovšek, Srđan , Kuykendall, Andrew , Viswabandya, Auro , Monahan, Thomas, Gerds, Aaron T. , Gomez-Arteaga, Alexandra , Podoltsev, Nikolai , Gutiérrez‐Abril, Jesús , Ossa, Juan Arango , Passamonti, Francesco , Maura, Francesco , Abdel‐Wahab, Omar , Mascarenhas, John , Hoffman, Ronald

Blood | December 4, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 2046-2046

10.1182/blood-2025-2046 Get It

Abstract Background Myeloproliferative neoplasms (MPNs) can progress from chronic phase to accelerated or blast phase (MPN-AP/BP), a transition with poor prognosis and limited treatment options. While some abnormalities have been described, the genomic and clonal drivers of transformation remain poorly defined. We characterized mutational and structural alterations in MPN-AP/BP, leveraging paired samples to trace clonal evolution. Methods We profiled 186 samples from 160 individuals, including 159 MPN-AP/BP and 27 chronic-phase MPN samples (26 MF, 1 PV), using targeted sequencing of a 588 gene panel (mean depth: 709x). Paired pre- and post-transformation samples were available for 26 patients (n= 52). A consensus pipeline was used to detect somatic mutations, copy number variations (CNVs), and copy-neutral loss of heterozygosity (cnLOH). Clinical cytogenetic data were integrated when available. Single-cell validation is ongoing. Results Genomic complexity was widespread: 99% of patients harbored ≥1 oncogenic mutation (median 4; range 1–10). In total, 859 mutations were identified, most commonly in JAK2 (68%), ASXL1 (28%), TET2 (26%), SRSF2 (24%), TP53 (22%), and RUNX1 (22%). 684 structural alterations were identified in 86% of patients (median 3; range 1-20), including arm-level (22.5%), segmental (>5 Mb; 60%), and focal (<2 Mb; 9%) alterations. Recurrent events included 9p cnLOH (16%), del(5q) (13%), del(17p) (10%), and focal deletion of 21q22.12 involving RUNX1 (10%). Complex karyotypes (≥3 abnormalities) were observed in 55% of patients. Biallelic mutations accounted for 21% (183/859) of mutations, affecting 58% of patients across 21 genes, most frequently JAK2 V617F (28%), TP53 (17%) and TET2 (14%). Patients with biallelic mutations in these genes had significantly higher blast percentages compared to those with monoallelic mutations (p<0.05), highlighting an association with aggressive disease. In 26 patients with longitudinal samples (chronic phase MPN and MPN-AP/BP), 87% (125/144) of mutations were already detectable during the chronic phase, on average more than 7 years prior to transformation. Only 11% (16/144) of mutations were newly acquired, including additional RUNX1 and TP53 hits, or structural changes that converted pre-existing JAK2 V617F and TP53 R248Q mutations from monoallelic to biallelic via 9p cnLOH or 17p loss, respectively. These findings suggest transformation is often driven by outgrowth of pre-existing high-risk clones, indicating that these clones likely have a competitive advantage and that the mutations within these clones have a cooperative biological interaction which underlies this competitive advantage. To investigate this hypothesis, we examined whether patterns of recurrent co-mutations were identifiable in this cohort. We identified recurrent co-occurring mutations in SRSF2-IDH2, ASXL1-SRSF2, and ASXL1-EZH2, which were enriched at transformation (p < 0.05; Fisher exact test). Importantly, presence of these co-mutations was consistently associated with a higher transformation risk in two independent cohorts of MF patients from Mayo Clinic (n= 405) and University of Florence (n= 518). Clonal architecture analysis revealed that these co-mutations frequently arose within the same malignant clone: 100% for SRSF2-IDH2, 80% for ASXL1-SRSF2, and 85% for ASXL1-EZH2, and are often within the dominant clone. Prior studies have demonstrated mechanistic interplay between SRSF2 and IDH2 (Yoshimi et al.), as well as ASXL1 and SRSF2 (Sui et al.) mutations in myeloid malignancies. We assessed functional synergy of ASXL1-EZH2 using a murine model and identified that dual deletion caused a rapidly fatal myeloid neoplasm with shorter survival than single-gene loss. These results reinforce that functional synergy emerges within a shared cellular context, supporting clonal co-dependence as a driver of progression. Single-cell RNA sequencing of ASXL1-EZH2 mutant cases is ongoing and will be presented. Conclusions Transformation to MPN-AP/BP is driven by gradual clonal remodeling and expansion of pre-existing high-risk abnormalities. Biallelic and multi-hit alterations in TP53, JAK2, TET2, and RUNX1 promote clonal dominance and blast progression. Recurrent co-mutations such as IDH2-SRSF2 and ASXL1-EZH2 arise within the same clone, exhibit functional synergy, and are linked to poor outcomes. These findings support the clinical utility of early clonal and co-mutational profiling to guide risk-adapted intervention.
Upstream integration of implementation planning in clinical trials through the blood and marrow transplant clinical trials network
DeSalvo, Anna M. , Ragon, Brittany Knick , Hamilton, Betty K. , Borogovac, Azra , Horowitz, Mary, Khera, Nandita , Keyzner, Alla , Efebera, Yvonne A. , Horwitz, Mitchell E. , Wall, Sarah, Stewart, Valerie , Heuer, Mykala, Bhatt, Neel S. , Juckett, Mark , Devine, Steven M. , Dandoy, Christopher E. , Plastaras, John Peter , Wall, Sarah , Heuer, Mykala, Molfenter, Todd

Blood | December 4, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 7913-7913

10.1182/blood-2025-7913 Get It

Abstract Background: Dissemination and implementation science (D+I) efforts often begin after clinical trial (CT) efficacy data are available. However, delaying this work limits opportunities to identify barriers and facilitators that can enhance adoption of evidence-based practices. Integrating D+I during trial development, activation, and conduct supports more timely, effective, and scalable implementation. The Blood and Marrow Transplant Clinical Trials Network (BMT CTN) includes >125 centers, conducting transplant and cellular therapy (TCT) trials with practice-changing potential, with >17,000 patients enrolled since 2001. Data from Center for International Blood and Marrow Transplant Research (CIBMTR) provides a way to measure real-world adoption. With this comprehensive structure in place, the BMT CTN launched a D+I Committee that established a D+I process to better understand uptake of CT findings and to leverage that information to promote adoption. Methods: Informed by established D+I frameworks, a structured, cyclical process to integrate implementation considerations spanning the CT lifecycle was developed. A multidisciplinary team including experts in D+I, clinicians, and investigators iteratively refined the proposed D+I algorithm. The process begins upstream when a trial concept is approved to move forward, it is shared with the D+I Committee for initial assessment. This includes a landscape review for studies in development using CIBMTR data, literature, and expert experience. The Committee then reviews the developing protocol with the BMT CTN protocol team to proactively identify implementation barriers and facilitators to implementation in real-world settings and outline plans for dissemination. The Committee also provides recommendations for integrating relevant implementation data collection and analyses within the protocol. After study completion, both clinical efficacy and implementation outcomes are analyzed, followed by active dissemination. Additional assessment using surveys, qualitative methods, and CIBMTR data occurs after dissemination to understand adoption. Insights gathered also inform further refinement of the process. Tools and templates are in development to build capacity and ensure consistency for Committee members. Results: To date, the Committee has published three peer-reviewed articles addressing implementation implications of three BMT CTN trials (PMC7735536, PMC8578257, PMC9364468) and a fourth is in press. Using the designed D+I process flow, a current effort used a survey sent to US CIBMTR centers, to evaluate factors influencing the implementation of results of the BMT CTN 1703 trial of post-transplant cyclophosphamide as graft-versus-host disease (GvHD) prophylaxis and assessed dissemination and adoption considerations for the upcoming BMT CTN 2203 CT of ruxolitinib as GvHD prophylaxis. CIBMTR data is being analyzed to demonstrate practice patterns before, during, and after BMT CTN 1703 study completion. This effort has allowed for further refinement of the BMT CTN D+I process flow and has highlighted critical opportunities for incorporating dissemination and implementation objectives and endpoints into BMT CTN protocols. We also used the process to guide a review of severe aplastic anemia treatment gaps and ongoing studies. This review underscored how proactive transplant and non-transplant stakeholder engagement and early implementation planning, core elements of this process, can bridge evidence to practice and advance access to care. A complementary survey on current practice patterns in severe aplastic anemia is ongoing. Conclusions: With the existing structure of the BMT CTN and associated practice registry of the CIBMTR, the BMT CTN D+I Committee developed a systematic process to build D+I considerations into trial workflows to increase real-world impact. This process aims to ensure that barriers to uptake of trial results can be identified and addressed appropriately, improving care quality for patients undergoing TCT.
Clinical Factors but Not Somatic Mutations Predict for Survival in Patients with Myelofibrosis Undergoing Allogeneic Hematopoietic Cell Transplant: Analysis of the North American Myelofibrosis Transplant Outcome (NAMTO) Study
Ajufo, Helen, Rampal, Raajit K. , Famulare, Christopher , Chervin, Jordan , Ho, Vincent T. , Deeg, H. Joachim , Monahan, Tim, Jones, Richard J. , Palmer, Jeanne , Keyzner, Alla , Lagdameo, Jonathan, Gomez-Arteaga, Alexandra , Puzo, Christian, Kosuri, Satyajit, Amanam, Idoroenyi , Tamari, Roni , Derkach, Andriy , Nemirovsky, David , Gupta, Vikas , Viswabandya, Auro , Monahan, Tim M. , Jain, Tania , Gerds, Aaron T. , Besien, Koen van , Podoltsev, Nikolai

Blood | December 1, 2023 | Volume: 142 | Issue: Supplement 1 | Pages: 3181-3181

10.1182/blood-2023-173441 Get It

Introduction: Myelofibrosis (MF) is a clonal hematologic malignancy characterized by constitutive JAK-STAT activation and aberrant cytokine signaling. Allogeneic hematopoietic stem cell transplantation (allo-HCT) remains the only potentially curative therapy in MF. The contribution of disease-, patient- and donor-related factors to allo-HCT outcomes remains to be fully elucidated, as well as the presence of somatic mutations in genes such as ASXL1, EZH2, SRSF2, U2AF1 and IDH1/2 which are associated with worse prognosis in MF patients (pts). In this large multi- center retrospective analysis, we aimed to study the impact of clinical and molecular mutations on transplant outcomes. Methods: This analysis including 498 pts from 11 centers in North America and Canada. Univariate proportional-hazard Cox regression analysis stratified by center was used to assess the association of patient, transplant, and disease characteristics on overall survival (OS). Baseline patient demographic data and disease characteristics were selected as covariates in the multivariate analysis. Results: Pts transplanted between 2002-2021 were included in this analysis. Baseline and transplant characteristics are summarized in table 1. The 1- and 2-year OS was 77% (95% CI; 73-81) and 70% (95% CI; 66-74) and non-relapse mortality (NRM) 19% (95% CI: 17-21) and 23% (95% CI: 19-27), respectively. The cumulative incidence (CMI) of relapse at 1- and 2-years was 12% (95% CI; 10-14) and 16% (95% CI; 12-20). The CMI of acute graft versus host disease (aGVHD) grade II-IV was 31% (95% CI; 27-35) at 3 months and 42% (95% CI; 38-46) at 1-year post-transplant and grade was III-IV 13% (95% CI; 11-15) and 18% (95% CI; 14-22), respectively. The CMI of neutrophil engraftment at 1 and 3 months was 90% (95% CI: 87-93) and 97% (95% CI: 95-95) and for platelets 55% (95% CI: 50-59) and 80% (95% CI: 76-83). Univariate analysis included pts (age and gender), transplant (donor type and conditioning regimen intensity) and disease characteristics (DIPSS, mutations, cytogenetics (CG), blood counts, and spleen size). Hemoglobin > 10 g/dL (HR .5, 95% CI .34 -.73 p=3 x 10 -4) and platelets >50× 10 9/L (HR .59, 95% CI .42-.81, p=.0013) prior to transplant were associated with improved OS. High risk DIPSS was associated with decreased OS (p=0.0002). Mutations in ASXL1, EZH2, IDH1/2, U2AF1 and SRSF2 were not associated with decreased OS in this analysis (Figure 1). However, mutations in ZRSR2 were associated with inferior OS (HR 2.07, 95% CI 1.08-3.95, p=.0252). Lastly, JAK2 which had the most frequent mutations was not associated with OS (HR .0.93, 95% CI .65-1.31). There was no association between the CG risk groups and OS. Splenomegaly, measured radiographically, had no impact on OS but was strongly associated with engraftment (better engraftment defined as HR>1). For platelets, spleen size of 15.6-18.9 cm HR of 0.69 (95% CI .47-1, p=.0489) and size >18.9-22.5 cm HR of 0.48 ( 95% CI .33-.7, p=1x10^-4). For neutrophils, spleen size >19.9-22.5 cm had a HR of 0.68, (95% CI .48-.96, p=.0268) and size>22.5 cm had a HR of 0.65 (95% CI .46-.91, p=.0114). Mismatched unrelated (MMURD) and haplo identical donors had no impact on survival but were associated with delayed platelet engraftment; MMURD (HR .67, 95% CI .47-.96, p=.0298) and haploidentical donors (HR .56, 95% CI .39-.8, p=.0017). In a multivariate analysis adjusted for age, gender, highest DIPSS, donor type and conditioning regimen, platelets > 50× 10 9/L (HR .61, 95% CI .44-.87, p=.0053) hemoglobin >10 g/dL (HR .6, 95% CI .4-.9, p=.0244) and lower DIPSS at the time of transplant were associated with improved OS. Conclusions: In this large multicenter analysis only clinical variables; hemoglobin and platelets, were found to be associated with OS after allo-HCT in MF patients. Somatic mutations associated with poor prognosis were not associated with OS suggesting that transplant can overcome their negative impact. Splenomegaly was associated with delayed engraftment but not OS. Interestingly, using alternative donors (MMURD and haplo identical) didn't have a negative effect on OS, possibly reflecting the use of post-transplant cyclophosphamide for GVHD prophylaxis in recent years. These results highlight the importance of biologic factors in the prognostication of outcomes in MF pts undergoing allo-HCT independent of somatic mutations. Supported by the American Society of Hematology (ASH) and MPN Research Foundation
Haploidentical Donor Blood or Marrow Transplantation for Myelodysplastic/Myeloproliferative Overlap Neoplasms: Results from a North American Collaboration
Jain, Tania , Tsai, Hua‐Ling , Elmariah, Hany , Vachhani, Pankit , Wall, Sarah , Gondek, Lukasz P. , Bashey, Asad, Keyzner, Alla , Tamari, Roni , Nadiminti, Kalyan , Ali, Haris , Jones, Richard J. , Gondek, Lukasz , Tamari, Roni , Grunwald, Michael , Gerds, Aaron T , McCurdy, Shannon , Al Malki, Monzr M , Ali, Haris , Gupta, Vikas , Jain, Tania , Elmariah, Hany , Karantanos, Theodoros , Grunwald, Michael R. , Abedin, Sameem , Iqbal, Madiha , Gerds, Aaron T. , Viswabandya, Auro , Malki, Monzr M. Al , Varadhan, Ravi , Gupta, Vikas , Otoukesh, Salman

No container title available | March 21, 2023 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.21203/rs.3.rs-2691216/v1 Get It

AbstractHaploidentical donors offer a potentially readily available donor, especially for non-White patients, for blood or marrow transplantation (BMT). In this collaboration across North America, we retrospectively analyzed outcomes of first BMT using haploidentical donor and posttransplantation cyclophosphamide (PTCy) in MDS/MPN-overlap neoplasms (MDS/MPN), an otherwise incurable hematological neoplasm. We included 120 patients, 38% of non-White/Caucasian ethnicity, across 15 centers with median age at BMT 62.5 years. The median follow-up is 2.4 years. Graft failure was reported in 6% patients. At 3-years, nonrelapse mortality (NRM) was 25%, relapse 27%, grade 3-4 acute graft versus host disease (GVHD) 12%, chronic GVHD requiring systemic immunosuppression 14%, progression-free survival (PFS) 48% and overall survival (OS) 56%. On multivariable analysis, statistically significant associations included older age at BMT (per decade increment) with NRM (sdHR 3.28, 95%CI 1.30-8.25), PFS (HR 1.98, 95% 1.13-3.45) and OS (HR 2.01, 95% CI 1.11-3.63), presence of mutation in EZH2/RUNX1/SETBP1 with relapse (sdHR 2.61, 95%CI 1.06-6.44), and splenomegaly at BMT/prior splenectomy with OS (HR 2.20, 95%CI 1.04-4.65). Haploidentical donors are a viable option for BMT in MDS/MPN, especially for those disproportionately represented in the unrelated donor registry. Disease-related factors including splenomegaly and high-risk mutations dominate outcomes following BMT.
Haploidentical Donor Transplantation with Posttransplantation Cyclophosphamide in Myelodysplastic/Myeloproliferative Neoplasms: A Multi-Institutional Collaboration of 14 Centers
Jain, Tania , Tsai, Hua‐Ling , Elmariah, Hany , Vachhani, Pankit , Wall, Sarah , Gondek, Lukasz P. , Bashey, Asad, Keyzner, Alla , Abedin, Sameem , Nadiminti, Kalyan VG, Malki, MHD Monzr M. Al, Ali, Haris , Jones, Richard J., Elmariah, Hany , Gondek, Lukasz , Abedin, Sameem , Karantanos, Theodoros , Grunwald, Michael R. , Iqbal, Madiha , Gerds, Aaron T. , Viswabandya, Auro , McCurdy, Shannon , Varadhan, Ravi , Gupta, Vikas , Otoukesh, Salman

Blood | November 28, 2022 | Volume: 140 | Issue: Supplement 1 | Pages: 7731-7733

10.1182/blood-2022-157985 Get It