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Sanz, Guillermo

https://orcid.org/0000-0002-2767-8191

Mayo Clinic

Hospital Universitari i Politècnic La Fe

Citations 11

Molecular-Based Ecosystem to Improve Personalized Medicine in Chronic Myelomonocytic Leukemia
Lanino, Luca , Hunter, Anthony M. , Gagelmann, Nico, Robin, M., Dall'Olio, Daniele , Flamigni, Alice, Gurnari, Carmelo, Wang, Yu‐Hung , Pleyer, Lisa , Xicoy, B., Montalban-Bravo, Guillermo, Shih, Lee-Yung, Alsugair, Ali, Gregorio, Caterina, Platzbecker, Anne Sophie, Sallman, David A., Fariselli, Piero, Garcia-Manero, Guillermo, Platzbecker, U, Solé, Francesc Gessé, Díez-Campelo, María, Maciejewski, Jaroslaw, Bejar, Rafael, Thol, Felicitas, Kroger, N., Fenaux, Pierre, Sanz, G. F., Kordasti, S., Santini, Valeria, Zeidan, Amer M., Komrokji, Rami S., Haferlach, Torsten, Germing, Ulrich, Castellani, Gastone, D'Amico, Saverio, Patnaik, M., Ieva, F., Tefferi, Ayalew, Padron, Eric , Porta, Matteo Giovanni Della, Alliance, for the iCPSS, Haque, Tamanna, Abdel-Wahab, Omar, Geissler, Klaus, Bataller, Alex, Bazinet, Alexandre , Meggendorfer, Manja , Quintavalla, Mirco, Bruseghini, Alessandro , Carota, Luciana , Dall'Olio, Lorenzo, Travaglino, Erica , Zamora, Lurdes López, Quintela, David, Jerez, Andrés , Cornejo, Elena, Martín, Paloma García, Díaz-Beyá, Marina, Pita, Alejandro Avendano, Roldán, Verónica , Suarez, Dolly Viviana Fiallo, Velasco, Estefania Cerezo, Calabuig, Marisa , Such, Esperanza, Castilla-Llorente, Cristina, Bulabois, Claude Eric, Souchet, Laëtitia, Bernardi, Massimo, Chiusolo, Patrizia, Borin, Lorenza, Follo, Matilde Yung, Consagra, Angela , Passamonti, Francesco, Diral, Elisa , Vucinic, Vladan, Bergonzi, Gregorio Maria , Hou, Hsin-An, Russo, Antonio, Tentori, Cristina Astrid , Buizza, Alessandro , Ferrari, Ivan, Matteo, Maria Di, Crespi, Alessandra, Figini, Giulia , Delponte, Camilla, Zampini, Matteo, Riva, Elena, Delleani, Mattia , Iascone, Eleonora, Ficara, Francesca , Ventura, Denise, Pinocchio, Nicole, Santoro, Armando, Kiwan, Ahmad , Ali, Najla H. Al, Zeidan, Amer M. , Robin, Marie , Dall’Olio, Daniele , Riva, Elena , Gagelmann, Nico , Robin, Marie , Sala, Claudia , Gurnari, Carmelo , Wang, Yu-Hung , Shih, Lee‐Yung , Alsugair, Ali , Fathima, Saubia , Gregorio, Caterina , Rollo, Cesare , Platzbecker, Anne Sophie , Asti, Gianluca , Itzykson, Raphael , Sallman, David A , Fariselli, Piero , Kern, Wolfgang , Garcia-Manero, Guillermo , Platzbecker, Uwe , Solé, Francesc , Diez-Campelo, Maria , Maciejewski, Jaroslaw P , Bejar, Rafael , Thol, Felicitas , Savona, Michael R , Sanz, Guillermo F , Kordasti, Shahram , Santini, Valeria , Zeidan, Amer M , Komrokji, Rami S , Castellani, Gastone , D'Amico, Saverio , Patnaik, Mrinal , Ieva, Francesca , Solary, Eric , Padron, Eric , Della Porta, Matteo Giovanni , Buizza, Alessandro , Ficara, Francesca , Lanino, Luca , Gagelmann, Nico , Gurnari, Carmelo , Xicoy, Blanca , Montalban‐Bravo, Guillermo , Fathima, Saubia , Gregorio, Caterina , Palomo, Laura , Itzykson, Raphaël , Sallman, David A. , Kern, Wolfgang , Garcia‐Manero, Guillermo , Platzbecker, Uwe , Solé, Françesc , Díez‐Campelo, María , Thol, Felicitas , Kröger, Nicolaus , Savona, Michael R. , Fenaux, Pierre , Sanz, Guillermo , Santini, Valeria , Fontenay, Michaëla , Komrokji, Rami S. , Haferlach, Torsten , Germing, Ulrich , Solary, Éric , Tefferi, Ayalew , Haque, Tamanna , Bataller, Alex , Sauta, Elisabetta , Sanavia, Tiziana , Dall'Olio, Lorenzo, Díaz‐Beyá, Marina , Roldan, Veronica, Fiallo, Dolly Viviana , Such, Esperanza , Castilla‐Llorente, Cristina , Bulabois, Claude‐Eric , Awada, Hussein , Chiusolo, Patrizia , Curti, Antonio , Giaccone, Luisa , Finelli, Carlo , Casetti, Ilaria Carola , Onida, Francesco , Passamonti, Francesco , Vučinić, Vladan , Voso, Maria Teresa , Hou, Hsin-An, Chou, Wen‐Chien , Yao, Chi‐Yuan , Lin, Chien‐Chin , Tien, Hwei‐Fang , Campagna, Alessia , Ubezio, Marta , Todisco, Gabriele , Maggioni, Giulia , Matteo, Maria Di, Pesce, Francesco , Zampini, Matteo , Crisafulli, Laura , Ventura, Denise , Pinocchio, Nicole , Brindisi, Matteo , VanOudenhove, Jennifer , Ali, Najla H. Al, Graubert, Timothy Aaron , Thota, Swapna , Griffiths, Elizabeth A.

Journal of Clinical Oncology | March 27, 2026 | Volume: 44 | Issue: 17 | Pages: 1608-1623

10.1200/jco-25-02116 Get It

PURPOSE Chronic myelomonocytic leukemia (CMML) is a rare myeloid neoplasm characterized by clinical heterogeneity and is associated with poor outcomes. To date, limited molecular information has been incorporated into disease classification and risk stratification. We aimed to integrate genomic features into the clinical decision-making process for CMML. PATIENTS AND METHODS We analyzed a retrospective cohort of 3013 patients with CMML (training set) and a prospective population of 516 patients (validation set). Using an innovative framework for multimodal data analysis, we developed molecular-based disease taxonomy and prognostication. RESULTS Unsupervised clustering identified nine entities with distinct genomic features and outcomes ( P < .001), including splicing machinery, transcription factors, signal transduction and tyrosine kinase pathways aberrations, and high-risk molecular signatures. Notably, 15% of patients showed molecular/clinical overlap with other myeloid neoplasms. We integrated molecular and clinical information to build the international CMML Prognostic Scoring System (iCPSS), incorporating mutations in nine genes together with hematologic parameters and cytogenetic abnormalities. The iCPSS identified five groups with distinct probability of overall and leukemia-free survival in both training and validation cohorts ( P < .001), outperforming existing prognostic models. Importantly, 55% of patients were reassigned to higher or lower risk groups by the iCPSS. Decision analysis demonstrated that iCPSS could refine the optimal timing of allogeneic transplantation at the individual level; compared with conventional prognostic tools, iCPSS-based decision modeling changed transplantation strategy in 31% of cases, resulting in a significant gain-in-life expectancy for eligible patient population ( P < .001). A federated learning platform was implemented to enable continuous, privacy-preserving model update across multiple centers. CONCLUSION Molecular information improves CMML classification and prognostication, supports more effective clinical decision making, and potentially refines the design of clinical trials.
Low-dose oral decitabine and cedazuridine among patients with low-risk myelodysplastic syndromes
Garcia‐Manero, Guillermo , Saini, Lalit , Yacoub, Abdulraheem , Maness, Lori J., Foran, James M. , Lübbert, Michael , Lodewyck, Tom , Amin, Harshad, Bachiashvili, Kimo, Yimer, Habte, Zhu, Nancy , Lopez, Patricia Font, Priego, Victor, Odenike, Olatoyosi , Heyrman, Bert , Wan, Yubing, Chan, Winny, Oganesian, Aram , Sano, Yuri, Zeidan, Amer M. , Traer, Elie , Mohan, Sanjay , Xicoy, Blanca , Al‐Ali, Haifa Kathrin , Lopez, Patricia Font, Sanz, Guillermo , Santini, Valeria , Berdeja, Jesús G. , Valcárcel, David , Wan, Yubing, Keer, Harold N , Griffiths, Elizabeth A.

Blood | December 4, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 790-790

10.1182/blood-2025-790 Get It

Abstract Background: Parenteral DNA methyltransferase inhibitors (DNMTi) such as azacitidine and decitabine (DEC), including an attenuated 3-day regimen, are recommended in the NCCN Guidelines for patients (pts) with lower-risk myelodysplastic syndromes (LR-MDS) with clinically significant cytopenias. However, parenteral administration requires frequent clinic visits, which imposes a substantial burden on pts, particularly those requiring long-term therapy. Oral DMTIs offer more flexible dosing and maintenance of pts' autonomy. Oral DEC-cedazuridine (DEC-C) is a fixed-dose combination tablet containing DEC (35 mg) and cedazuridine (100 mg). ASTX727-03 (NCT03502668) is a randomized, open-label, multicenter, phase 1/2 clinical trial evaluating safety, efficacy, and pharmacokinetics (PK) of various DEC-C doses and regimens in pts with LR-MDS. Phase 1 identified a 5-day regimen of DEC 10 mg/cedazuridine 100 mg as the optimized low-dose (LD) regimen. Phase 2 compares this LD regimen with the attenuated standard-dose (SD) regimen. Here, we report phase 2 results on efficacy, safety, PK, and pharmacodynamic (PD) data. Methods: Adults (aged ≥18 years) with International Prognostic Scoring System (IPSS) low-risk or Intermediate-1 MDS, ECOG PS 0−2, and ≥1 cytopenia or red blood cell (RBC) transfusion dependence were randomized 1:1 to receive oral DEC-C LD (10 mg x 5 days) or SD (35 mg x 3 days). The primary endpoint was hematologic response. Secondary endpoints included PK, PD (by LINE-1 demethylation), time to bone marrow blasts &gt;5%, leukemia-free survival (LFS), overall survival (OS), and safety. Results: As of October 31, 2024, 81 pts were treated (LD arm: n=40; SD arm: n=41) and completed a median of 8.8 months on treatment. At cutoff, 17 (42.5%) and 12 (28.6%) LD and SD pts, respectively, were still continuing the study; 9 (22.5%) and 6 (14.6%) pts respectively, had discontinued treatment due to hematopoietic stem cell transplant. Median age was 70 (LD) and 75 (SD) years; 75.0% (LD) and 68.3% (SD) had IPSS Int-1 risk MDS and 60.0% vs 41.5% had IPSS-Molecular Lower-Risk MDS (very low, low, or moderate-low). Low-risk prognostic scoring system risk distribution was similar: Category 1 (2.5% vs 4.9%), Category 2 (47.5% vs 46.3%), and Category 3 (50.0% vs 48.8%). After a median follow-up of 29.3 months, median OS was 23.9 months (95% confidence interval [CI]: 13.0, not estimable [NE]) in the LD arm vs 26.0 months (95% CI: 19.4, 28.5) in the SD arm. Median LFS was 23.8 months (95% CI: 13.0, NE) and 25.7 months (95% CI: 17.8, 26.5), respectively. Hematologic improvement per International Working Group 2006 criteria was achieved in 27.5% (LD) and 26.8% (SD) of pts. Among RBC transfusion–dependent pts, 52.4% (LD) and 37.5% (SD) achieved ≥56-day independence and 47.6% (LD) and 20.8% (SD) achieved ≥112-day independence. Pts received a median of 10 (LD) and 9 (SD) cycles. Delayed cycles occurred in 72.5% (LD) vs 82.9% (SD) of pts; dose reductions occurred in 40.0% (LD) and 46.3% (SD) of pts. Both treatment regimens caused a decrease in blood counts, reaching a nadir before recovering in each cycle. Neutropenia was more pronounced during early cycles and was more severe in the SD arm. Blood counts across all lineages remained stable or improved through ≥12 cycles with the LD arm, suggesting a more favorable safety and tolerability profile. Grade ≥3 adverse events (AEs) occurred in 85.0% and 90.2% of pts in the LD and SD arms, respectively; treatment discontinuation due to AEs occurred in 2.5% and 17.1% of pts, respectively. Most commonly reported treatment-emergent AEs were anemia (42.5% LD, 39.0% SD), fatigue (32.5% LD, 43.9% SD), and thrombocytopenia (37.5% LD, 39.0% SD). Three deaths occurred in the trial: 2 in the LD arm, which were both unrelated to study treatment, and 1 in the SD arm (Pseudomonal bacteremia in Cycle 1), which was treatment related. Total AUC0–24 was 199 ng*h/mL in the LD arm and 465 ng*h/mL in the SD arm; AUC for all cycles of the LD arm was approximately half of the SD arm. Maximal % LINE-1 demethylation rate was lower with LD than SD, but narrowed by Cycle 3. Conclusion: LD oral DEC-C demonstrated comparable clinical benefit to SD oral DEC-C, with improved safety and tolerability, including fewer dose modifications and less severe myelosuppression. These findings support LD DEC-C as a potential optimal regimen for pts with LR-MDS. Clinical trial registration: NCT03502668
Wide variability and inconsistency in reporting of results of Myelodysplastic Syndromes/neoplasms (MDS) clinical trials: An icMDS systematic review of published manuscripts
Getz, Ted M. , Pugh, Kelly , Brunner, Andrew M. , Borate, Uma , Buckstein, Rena , Hasserjian, Robert P. , Fenaux, Pierre, Sallman, David A. , Nimer, Stephen D. , Little, Richard F. , Odenike, Olatoyosi , Greenberg, Peter L. , Xu, Mina L. , Bejar, Rafael, Patnaik, Mrinal M. , Padron, Eric , Gore, Steven D. , Bennett, John M. , Metzeler, Klaus H. , Pleyer, Lisa , Loosdrecht, Arjan van de, Cluzeau, Thomas , Mufti, Ghulam, Sébert, Marie , Götze, Katharina S. , Miyazaki, Yasushi , Al‐Kali, Aref , Yacoub, Abdulraheem , Li, Bing, Stahl, Maximilian , Götze, Katharina , Brunner, Andrew, Bewersdorf, Jan Philipp , Dezern, Amy Elizabeth , Kewan, Tariq Zuheir , Platzbecker, Uwe , Sekeres, Mikkael A. , Wei, Andrew H. , Kordasti, Shahram , Roboz, Gail J. , Savona, Michael R. , Loghavi, Sanam , Fenaux, Pierre , Hourigan, Christopher S. , Porta, Matteo Giovanni Della , Santini, Valeria , Efficace, Fabio , Taylor, Justin , Kim, Tae Kon , Halene, Stephanie , Komrokji, Rami S. , Griffiths, Elizabeth A. , Xie, Zhuoer , Bejar, Rafael , Sanz, Guillermo , Figueroa, María E. , Carraway, Hetty E. , Abdel‐Wahab, Omar , Starczynowski, Daniel T. , Boultwood, Jacqueline , Daver, Naval , Churpek, Jane E. , Majeti, Ravindra , List, Alan F. , Orgueira, Adrián Mosquera , Solé, Françesc , Steensma, David P. , Adès, Lionel , Lanino, Luca , Madanat, Yazan F. , Platzbecker, Anne Sophie , Lindsley, R Coleman , Gurnari, Carmelo , Li, Bing, Kotsianidis, Ιoannis , Zeidan, Amer M.

Blood | December 4, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 3852-3852

10.1182/blood-2025-3852 Get It

Abstract Introduction: Standardized reporting of clinical trials results for MDS is essential to improve clinical interpretation and cross-study comparison. However, reporting of patient characteristics, response criteria, and endpoints in publications is often inconsistent; there is no systemic analysis of MDS trial reporting available. We conducted a systematic review of published MDS trial manuscripts on behalf of the international consortium for MDS (icMDS) to assess variability in reporting practices. Methods We searched ClinicalTrials.gov to identify all clinical trials registered for adults (≥18 years) with MDS that reported results between 2015-2024. Clinical trials that included acute myeloid leukemia (AML) or MDS/myeloproliferative neoplasms (MPN) were included if they enrolled ≥5 MDS patients. We excluded trials without an MDS cohort; non-therapeutic trials; trials focused on transplant interventions; or those which enrolled solid malignancies or other hematologic malignancies (chronic myeloid leukemia or lymphoid diseases). Finally, trials were required to have a manuscript available on Larvol, PubMed, or Google Scholar. Trials were categorized by disease risk (lower-risk [LR] vs. higher-risk [HR]) and trial phase (early phase [EP] vs. late phase [LP]). Results We identified 502 MDS trials on ClinicalTrials.gov, of which 351 did not meet inclusion criteria and 79 lacked a manuscript. A total of 72 trials (32 EP, 40 LP) with 80 publications (34 EP, 46 LP) were analyzed. Frequently reported baseline characteristics included age (100% EP, 100% LP), disease risk (74% EP, 74% LP), Eastern Cooperative Oncology Group performance status (85% EP, 72% LP), prior treatments (71% EP, 67% LP), and RBC transfusion dependency (32% EP, 70% LP). Less frequently reported characteristics included blood counts (hemoglobin [Hb; 38% EP, 54% LP], platelet count [38% EP, 54% LP], neutrophil count [24% EP and LP]) and bone marrow blasts (29% EP, 43% LP). Although disease risk was widely reported, definitions varied: IPSS and IPSS-R were each reported in 54% of manuscripts, while IPSS-M appeared in only 3%. Cytogenetic risk was separately reported in 39% of manuscripts (38% EP, 39% LP), and mutational data in 45% (47% EP, 43% LP). Responses per IWG 2006 criteria were reported in 84% of manuscripts. The primary endpoint involved safety/tolerability in 85% of EP manuscripts, though definitions were variable; recommended phase 2 dose was the most common (26% of EP manuscripts). In LP trials, primary endpoints were risk-specific: transfusion independence (TI) in 77% of LR, overall response rate (ORR) in 28% of HR, and complete remission (CR) or overall survival (OS) in 22% of HR. In HR manuscripts, CR was reported in 100%, ORR in 73%, hematologic improvement (HI) in 48%, RBC-TI in 23%, and OS in 80%. However, seven different definitions were used for ORR: CR + marrow CR + partial remission + HI per IWG 2006 was most common (35%). Event-free survival was reported in 25%; progression-free survival and relapse-free survival in 13%; and leukemia-free survival in 5%. Early mortality rate was reported in 35% (18% EP, 56% LP) and transplant rate in 58% (50% EP, 67% LP). Only 47% of HR and 90% of LR manuscripts identified HI-eligible patients. In LR-MDS, RBC-TI was reported in 72% of manuscripts but used six definitions. The most common were RBC-TI ≥8 weeks at any time during treatment (24%), ≥8 weeks within 28 weeks of treatment (13%), ≥8 weeks with Hb increase ≥1.0 (4%), ≥12 weeks with Hb increase ≥1.5 (4%), and ≥16 weeks within 24 weeks of treatment (12%). The remainder did not report RBC-TI, did not define it, or used a custom definition not used in another trial. HI was reported in 80% of LR papers with most of those reporting HI using IWG 2006 criteria (90%). Conclusion Reporting of baseline characteristics, response criteria, and outcomes is inconsistent in MDS clinical trials, with wide variability in response definitions, including ORR and TI. This heterogeneity limits interpretability, hampers historical comparisons and may obscure efficacy signals. Our findings highlight the need for standardized reporting guidelines to ensure clarity and consistency in MDS trial publications. As a next phase of this effort, we will conduct a formal Delphi process among icMDS experts to establish consensus recommendations for minimal and optimal MDS clinical trial reporting in manuscripts by disease risk (LR/HR) and trial phase (EP/LP).
Reducing clinical trial eligibility barriers for patients with MDS: an icMDS position statement
Borate, Uma , Pugh, Kelly , Waller, Allyson, Welkie, Rina Li , Huang, Ying , Stahl, Maximilian , Platzbecker, Uwe , Wei, Andrew H. , Buckstein, Rena , Hasserjian, Robert P. , Fenaux, Pierre , Sallman, David A. , Nimer, Stephen D. , Little, Richard F. , Garcia‐Manero, Guillermo , Odenike, Olatoyosi, Kim, Tae Kon , Greenberg, Peter L. , Xu, Mina L. , Patnaik, Mrinal M. , Padron, Eric , Gore, Steven D. , Churpek, Jane E. , Bennett, John M., Brunner, Andrew M. , Zeidan, Amer M., Zeidan, Amer M. , Platzbecker, Uwe , Sekeres, Mikkael A , Wei, Andrew H , Roboz, Gail J , Loghavi, Sanam , Hasserjian, Robert P , Sallman, David A , Hourigan, Christopher S , Della Porta, Matteo Giovanni , Little, Richard F , Santini, Valeria , Taylor, Justin , Kim, Tae Kon , Halene, Stephanie , Komrokji, Rami S , Griffiths, Elizabeth A. , Greenberg, Peter L , Xie, Zhuoer , Sanz, Guillermo F , Patnaik, Mrinal , Carraway, Hetty E. , Boultwood, Jacqueline , Daver, Naval , Zeidan, Amer M , Churpek, Jane E , Bewersdorf, Jan Philipp , Dezern, Amy Elizabeth , Sekeres, Mikkael A. , Roboz, Gail J. , Savona, Michael R. , Loghavi, Sanam , Hourigan, Christopher S. , Santini, Valeria , Efficace, Fabio , Odenike, Olatoyosi , Komrokji, Rami S. , Xie, Zhuoer , Bejar, Rafael , Sanz, Guillermo , Figueroa, María E. , Abdel‐Wahab, Omar , Starczynowski, Daniel T. , Boultwood, Jacqueline , Daver, Naval , Majeti, Ravindra , List, Alan F. , Brunner, Andrew M., Churpek, Jane

Blood | March 27, 2025 | Volume: 145 | Issue: 13 | Pages: 1369-1381

10.1182/blood.2023023717 Get It

Abstract Excessively restrictive inclusion and exclusion criteria in clinical trials are one of many barriers to clinical trial enrollment for patients with myelodysplastic syndromes/neoplasms (MDSs). Many organizations are developing efforts to increase clinical trial eligibility; yet, several recent publications focused on patients with MDS suggest that many patients with this disease may be excluded from clinical trials unnecessarily. Clinical trial eligibility should reflect the phase of the study and risks of the agent being studied. Phase 3 trials should be less restrictive than early-phase trials to represent the real-world population as closely as possible. We hypothesize that many clinical trials, particularly phase 3 trials, have unnecessarily restrictive eligibility criteria. This study aims to evaluate the most common eligibility criteria according to phase of trial and to determine whether criteria correspond with drug safety signals. We identified MDS clinical trials registered on ClinicalTrials.gov from 1 January 2000 to 1 September 2023 and analyzed the eligibility criteria of 191 therapeutic MDS trials. We found that categorical inclusion and exclusion criteria are remarkably similar in representation across trial phases. Additionally, only 13% of trials are concordant with drug safety signals, suggesting that the eligibility criteria are often arbitrary. On behalf of the icMDS (International Consortium for Myelodysplastic Syndromes), an association of international MDS experts, we provide a position statement on restrictive eligibility criteria for MDS clinical trials that should be avoided with the aim of removing barriers to clinical trial enrollment.
A Molecular-Based Ecosystem to Improve Personalized Medicine in Patients with Chronic Myelomonocytic Leukemia (CMML)
Dall'Olio, Lorenzo, Pleyer, Lisa , Montalban‐Bravo, Guillermo , Bazinet, Alexandre , Meggendorfer, Manja , Sauta, Elisabetta, Travaglino, Erica , Quintela, David, Jerez, Andrés , Cornejo, Elena, Martín, Paloma García, Roldán, Verónica , Suarez, Dolly Viviana Fiallo, Velasco, Estefania Cerezo, Calabuig, Marisa , Souchet, Laëtitia, Borin, Lorenza, Diral, Elisa , Vučinić, Vladan , Russo, Antonio , Tentori, Cristina Astrid , Buizza, Alessandro, Delleani, Mattia , Consagra, Angela , Kiwan, Ahmad , Ali, Najla H. Al, Sallman, David A. , Garcia-Manero, Guillermo, Follo, Matilde Y. , Maciejewski, Jaroslaw P. , Bejar, Rafael, Thol, Felicitas , Fenaux, Pierre , Haferlach, Torsten, Germing, Ulrich, Patnaik, Mrinal M. , Padron, Eric , Lanino, Luca , Hunter, Anthony M. , Gagelmann, Nico , Robin, Marie , Sala, Claudia , Dall’Olio, Daniele , Gurnari, Carmelo , Dall'Olio, Lorenzo, Wang, Yu‐Hung , Xicoy, Blanca , Shih, Lee‐Yung , Haque, Tamanna Zohra , Abdel‐Wahab, Omar , Geissler, Klaus H. , Bataller, Alex , Casetti, Ilaria Carola , Sauta, Elisabetta , Palomo, Laura , Zamora, Lurdes , Díaz‐Beyá, Marina , Pita, Alejandro Avendaño, Roldan, Veronica, Such, Esperanza , Sanz, Guillermo , Platzbecker, Anne Sophie , Castilla‐Llorente, Cristina , Bulabois, Claude‐Eric , Awada, Hussein , Bernardi, Massimo , Chiusolo, Patrizia , Curti, Antonio , Giaccone, Luisa , Onida, Francesco , Passamonti, Francesco , Bergonzi, Gregorio Maria , Voso, Maria Teresa , Hou, Hsin‐An , Chou, Wen‐Chien , Yao, Chi‐Yuan , Lin, Chien‐Chin , Tien, Hwei‐Fang , Campagna, Alessia , Ubezio, Marta , Todisco, Gabriele , Maggioni, Giulia , Asti, Gianluca , Zampini, Matteo , Riva, Elena , Ficara, Francesca , Santoro, Armando , Carota, Luciana , Sanavia, Tiziana , Rollo, Cesare , VanOudenhove, Jennifer , Fariselli, Piero , Kern, Wolfgang , Garcia‐Manero, Guillermo , Thota, Swapna , Griffiths, Elizabeth A. , Finelli, Carlo , Platzbecker, Uwe , Solé, Françesc , Díez‐Campelo, María , Bejar, Rafael , Kröger, Nicolaus , Itzykson, Raphaël , Graubert, Timothy Aaron , Fontenay, Michaëla , Zeidan, Amer M. , Komrokji, Rami S. , Santini, Valeria , Haferlach, Torsten , Germing, Ulrich , D'Amico, Saverio , Castellani, Gastone , Solary, Éric , Porta, Matteo Giovanni Della

Blood | December 5, 2024 | Volume: 144 | Issue: Supplement 1 | Pages: 1003-1003

10.1182/blood-2024-200104 Get It

Background. Study of myeloid neoplasms (MN) has been rapidly transformed by genome characterization. Gene mutations have been reported to influence disease phenotype and risk of disease progression, and the evaluation of mutational status can provide valuable insights to improve the decision-making process. In this international study, we evaluated the clinical impact of mutational screening in patients with CMML, which is characterized by significant clinical and genomic heterogeneity, including a substantial proportion of patients with poor outcomes and unmet needs. Currently, only limited molecular information has been incorporated into CMML classification and prognostication. Methods. We retrospectively collected 3182 CMML patients. We used MOSAIC, an AI-based framework for multimodal analysis in rare cancers (PMID: 38875514) to develop innovative, molecular-based tools for classification and prognostication. An independent validation of the results on 516 prospectively collected patients was performed. Results. Bayesian Networs and Hierarchical Dirichlet Processes were used to identify genomic associations and define a CMML molecular classification. We identified 11 clusters with distinct clinical and genomic features, including splicing machinery, signal transduction and tyrosine kinase pathways aberrations, and high-risk molecular signatures (i.e., AML-like and TP53 mutations). Up to 15% of patients showed clear genomic overlap with other MN. Importantly, extensive multi-color flow cytometry on T lymphocytes, NK and myeloid cells (BD FACSymphony A5 Cell Analyzer) revealed specific immunologic and inflammation signatures associated with molecular subgroups. We then integrated molecular and clinical information to build an international CMML Prognostic Scoring System (iCPSS). We assessed the performance of different statistical and AI-based methods; L1-penalized Cox Model resulted as the best performing method. Selected features included hematological parameters (WBC, Hb, PLT and marrow blasts), cytogenetic abnormalities, and mutations in 10 genes (ASXL1, DNMT3A, EZH2, NRAS, RUNX1, SETBP1, STAG2, TET2, TP53, U2AF1). By Bayesian thresholds optimization, we identified 5 risk classes (i.e., very-low, low, intermediate, high and very-high) with median overall survival (OS) ranging from 99 to 9 months (P&lt;.001), and median leukemia-free survival (LFS) ranging from 210 to 18 months (P&lt;.001). iCPSS provided better patient discrimination across all clinical endpoints compared to currently available prognostic tools, with a Concordance Index (CI) for OS of 0.75 versus 0.62-0.64, respectively. Notably, compared to available scoring systems, up to 40% of patients were reassigned to higher or lower risk classes by the iCPSS. External validation on an independent prospective cohort confirmed that the performance of iCPSS is superior to existing prognostic models (CI for OS 0.71 vs 0.54-0.61, respectively) To demonstrate the clinical utility of iCPSS, we focused on 753 patients who underwent allogeneic stem cell transplantation (HSCT). In multivariable analysis, iCPSS stratified the probability of OS post-HSCT (P&lt;.001) and identified groups of patients with different probabilities of disease relapse, ranging from 9% to 62% (P&lt;.001). We employed a clinical- and genomic-based decision support system (PMID: 38723212) to determine the optimal timing of HSCT. Preliminary analyses indicated that higher-risk patients according to iCPSS (i.e., intermediate, high, and very high) benefit from an immediate HSCT strategy. Lower-risk patients (i.e., very low and low) had life expectancy maximized with delayed HSCT. Modeling decision analysis using iCPSS compared to conventional scores, resulted in a change in transplantation policy for a significant proportion of patients (up to 25%). Conclusion. Molecular information significantly improves the classification of CMML patients, providing a basis for refining diagnostic boundaries with other MN and for a more rational inclusion of patients in clinical trials. The iCPSS demonstrated superior performance over currently available scoring systems and improved HSCT decision making process.
Data-Driven Harmonization of 2022 Who and ICC Classifications of Myelodysplastic Syndromes/Neoplasms (MDS): A Study By the International Consortium for MDS (icMDS)
Ball, Somedeb , Travaglino, Erica , Ali, Najla H. Al, Fenaux, Pierre , Tinsley-Vance, Sara M., Schwabkey, Zaker , Brunner, Andrew M. , Bennett, John M. , Buckstein, Rena , Hasserjian, Robert P. , Odenike, Olatoyosi , Padron, Eric , Patnaik, Mrinal M. , Stahl, Maximilian , Xu, Mina L. , Sweet, Kendra , Sallman, David A. , Nimer, Stephen D. , Borate, Uma , Gore, Steven D. , Garcia‐Manero, Guillermo , Wang, Sa A. , Foucar, M K, Germing, Ulrich , Haferlach, Torsten , Miyazaki, Yasushi, Iastrebner, Marcelo , Cluzeau, Thomas , Loosdrecht, Arjan A. van de , Lanino, Luca , Bewersdorf, Jan Philipp , Marchetti, Monia , Maggioni, Giulia , Platzbecker, Uwe , Santini, Valeria , Díez‐Campelo, María , Singh, Avani , Jain, Akriti Gupta , Aguirre, Luis E. E. , Tinsley-Vance, Sara M., Chan, Onyee , Xie, Zhuoer , Kuykendall, Andrew , Bejar, Rafael , Carraway, Hetty E. , Dezern, Amy Elizabeth , Griffiths, Elizabeth A. , Halene, Stephanie , Lancet, Jeffrey E. , List, Alan F. , Loghavi, Sanam , Roboz, Gail J. , Sekeres, Mikkael A. , Steensma, David P. , Savona, Michael R. , Taylor, Justin , Hourigan, Christopher S. , Wei, Andrew H. , Sauta, Elisabetta , D'Amico, Saverio , Asti, Gianluca , Castellani, Gastone , Sanz, Guillermo , Efficace, Fabio , Kim, Tae Kon , Daver, Naval , Rozman, Marı́a , Órfão, Alberto , Scheinberg, Phillip , Miyazaki, Yasushi , Kulasekararaj, Austin , Kordasti, Shahram , Adès, Lionel , Zeidan, Amer M. , Komrokji, Rami S. , Della Porta, Matteo Giovanni

Blood | December 1, 2023 | Volume: 142 | Issue: Supplement 1 | Pages: 998-998

10.1182/blood-2023-186580 Get It

Background. The inclusion of gene mutations and chromosomal abnormalities in the 2022 WHO and ICC Classifications of MDS has enhanced diagnostic precision and is expected to improve clinical decision-making process. Although these two systems share similarities, clinically relevant discrepancies still exist and potentially cause inconsistency in their adoption in a clinical setting. In this study on behalf of the International Consortium for MDS (icMDS), we adopted a data-driven approach to provide a harmonization roadmap between the 2022 WHO and ICC classification for MDS. A modified Delphi Process consensus approach is currently ongoing among icMDS experts to finalize a harmonized MDS classification scheme. Methods. We analyzed retrospective international cohorts of patients with a diagnosis of MDS (n=7017) and AML (n=1002) according to WHO 2016 criteria. Hierarchical Dirichlet Processes were applied to define clusters capturing broad dependencies among all gene mutations and cytogenetic abnormalities. To investigate the features of importance and their impact on the clustering process, we employed the SHapley Additive exPlanations approach (SHAP). This allowed to define harmonized labels for each clinical entity. The clinical relevance of the unsupervised clustering was assessed through the analysis of phenotypic features and outcomes among each group. ( Blood 2022;140: 9828-9830) Results. Patients' characteristics are summarized in Table 1. We identified 9 clusters, defined by specific genomic features. The cluster of highest hierarchical importance was characterized by biallelic inactivation of TP53 (biTP53). According to SHAP analysis, bi TP53 was defined as 2 or more TP53 mutations, or 1 mutation with copy number loss or cnLOH. Most patients assigned to bi TP53 cluster had TP53 VAF&gt;10% (77.9%) and complex karyotype (70.1%). Assignment to bi TP53 cluster was irrespective of blast count. Patients with monoallelic TP53 mutation segregated into other clusters. Hierarchically, the second cluster included patients with del(5q). SHAP analysis highlighted 5q deletion alone, or with one other chromosomal abnormality other than -7, and absence of bi TP53, as the most relevant features. Most of these patients had blast counts &lt;5% (88.1%). The third distinct cluster included patients with SF3B1 mutations (in the absence of concurrent del(7q), abn3q26.2, complex karyotype or RUNX1 mutation). Most patients with MDS and SF3B1 mutation had &lt;5% blasts (94.2%). Common co-mutated variants in the SF3B1 cluster included mutant DNMT3A (25.2%) and TET2 (38.3%). Morphologically defined MDS cases (i.e., not meeting criteria for bi TP53, del(5q) or SF3B1) were preferentially assigned to the following additional clusters: SF3B1 and concurrent higher-risk mutations (e.g., RUNX1 and ASXL1); SRSF2 and concomitant TET2 mutations; U2AF1 mutations with del(20q), del(7q) or -7; SRSF2 with TET2 mutations and co-mutational patterns including RUNX1 and ASXL1; and AML-like genomic signatures. Our analyses suggest that morphologically defined MDS is characterized by a large heterogeneity in terms of mutation profiles, not entirely captured by the presence of unilineage versus multilineage dysplasia, percentage of bone marrow blasts, and presence of hypocellularity and fibrosis. To better investigate the continuum between high risk MDS (i.e., patients with ≥10% blasts) and AML, an exploratory comparison was made using a cohort of AML (defined according to WHO 2016) patients analyzed using the same statistical methods. Only a partial overlap in genetic signatures was observed between MDS with ≥10% blasts and AML. However, similarities were observed between the AML-like MDS clusters (characterized by mutant NPM1, bZIP CEBPA, and Core Binding Factor abnormalities) and AML clusters defined by the same genetic signature, thus supporting the classification of these entities as AML, irrespective of blast count. Conclusion. Our study demonstrated the utility of a data-driven approach based on advanced statistical methods to generate a harmonized classification for MDS. Table 2 shows a provisional, hierarchical classification algorithm. Further refinement of entity labels and classification criteria is the subject of the ongoing modified Delphi Process consensus approach among icMDS experts.
An agenda to advance research in myelodysplastic syndromes: a TOP 10 priority list from the first international workshop in MDS
Stahl, Maximilian , Wei, Andrew H. , Savona, Michael R. , Xu, Mina L. , Xie, Zhuoer , Sanz, Guillermo , Sallman, David A. , Patnaik, Mrinal M. , Padron, Eric , Odenike, Olatoyosi , Nazha, Aziz , Nimer, Stephen D. , Majeti, Ravindra , Little, Richard F. , Gore, Steven D. , Kutchroo, Vijay, Kim, Tae Kon , Kim, Nina , Hasserjian, Robert P. , Greenberg, Peter L. , Fenaux, Pierre , Churpek, Jane E. , Brunner, Andrew M. , Borate, Uma , Bennett, John M. , Platzbecker, Uwe , Buckstein, Rena , Zeidan, Amer M. , Wei, Andrew H , Savona, Michael R , Xie, Zhuoer , Taylor, Justin , Sanz, Guillermo F , Santini, Valeria , Roboz, Gail J , Patnaik, Mrinal , Little, Richard F , Komrokji, Rami S , Kim, Tae Kon , Kim, Nina , Hourigan, Christopher S , Halene, Stephanie , Griffiths, Elizabeth A. , Greenberg, Peter L , Daver, Naval , Carraway, Hetty E. , Bejar, Rafael , Boultwood, Jacqueline , Loghavi, Sanam , Platzbecker, Uwe , Steensma, David P , Majeti, Ravindra , Zeidan, Amer M , Churpek, Jane E , Abdel‐Wahab, Omar , Starczynowski, Daniel T. , Santini, Valeria , Roboz, Gail J. , List, Alan F. , Komrokji, Rami S. , Hourigan, Christopher S. , Figueroa, María E. , Efficace, Fabio , Dezern, Amy Elizabeth , Della Porta, Matteo Giovanni , Daver, Naval , Boultwood, Jacqueline , Loghavi, Sanam , Bewersdorf, Jan Philipp , Steensma, David P. , Sekeres, Mikkael A. , Churpek, Jane

Blood Advances | October 19, 2022 | Volume: 7 | Issue: 12 | Pages: 2709-2714

10.1182/bloodadvances.2022008747 Get It

P787: SABATOLIMAB (MBG453) COMBINATION TREATMENT REGIMENS FOR PATIENTS WITH HIGHER-RISK MYELODYSPLASTIC SYNDROMES: THE MYELODYSPLASTIC SYNDROMES STUDIES IN THE STIMULUS IMMUNO-MYELOID CLINICAL TRIAL PROGRAM
Al‐Kali, Aref , Borate, Uma , Cluzeau, Thomas , DeZern, A. E., Kobata, Kazuma, Lyons, Roger M. , Sallman, David A. , Xiao, Zhijian , Hoef, Marlies Van, Nourry-Boulot, Claire, Sadek, Islam Mohamad, IORDAN, Ana-Maria, Sabo, Jennifer L., Garcia‐Manero, G., Zeidan, Amer M. , Esteve, Jordi , Giagounidis, Aristoteles , Platzbecker, Uwe , Santini, Valeria , Sanz, Guillermo , Sekeres, Mikkael A. , Wei, Andrew H. , Ma, Fei

HemaSphere | June 23, 2022 | Volume: 6 | Issue: No issue available | Pages: 682-683

10.1097/01.hs9.0000846032.37876.c9 Get It

Sabatolimab (MBG453) Combination Treatment Regimens for Patients (Pts) with Higher-Risk Myelodysplastic Syndromes (HR-MDS): The MDS Studies in the Stimulus Immuno-Myeloid Clinical Trial Program
Al‐Kali, Aref , Borate, Uma , Cluzeau, Thomas , Kobata, Krissy, Lyons, Roger M. , Sallman, David A. , Xiao, Zhijian , Hoef, Marlies Van, Nourry-Boulot, Claire, Sadek, Islam , Bengoudifa, Bourras‐Rezki, Sachs, Carolin, Sabo, John , Garcia‐Manero, Guillermo , Zeidan, Amer M. , Dezern, Amy Elizabeth , Esteve, Jordi , Giagounidis, Aristoteles , Platzbecker, Uwe , Santini, Valeria , Sanz, Guillermo , Sekeres, Mikkael A. , Wei, Andrew H.

Blood | November 23, 2021 | Volume: 138 | Issue: Supplement 1 | Pages: 4669-4669

10.1182/blood-2021-145626 Get It

Abstract Background: Pts with HR-MDS unfit for hematopoietic stem cell transplant (HSCT) have poor outcomes and limited survival with single-agent hypomethylating agent (HMA) therapy. Novel treatments that provide durable responses and clinically meaningful survival benefit for pts with HR-MDS are needed. TIM-3 is a promising target in myeloid malignancies as it regulates innate and adaptive immune cells and is expressed on leukemic stem cells (LSCs) and blasts but not normal hematopoietic stem cells. Sabatolimab (MBG453) is a novel immuno-myeloid therapy that binds to TIM-3 on immune cells, facilitating antileukemic immune activation and phagocytic killing of leukemic cells. Sabatolimab also binds to TIM-3 on leukemic cells, potentially impeding self-renewal of LSCs via inhibition of TIM3-galectin-9. In an early phase (ph) trial (NCT03066648) sabatolimab + HMA therapy showed a durable clinical benefit and was well tolerated in pts with HR-MDS (Wei, EHA 2021). Study Design and Methods: The STIMULUS immuno-myeloid clinical trial program is investigating the safety, efficacy, and durability of multiple sabatolimab-based combination therapies in pts with myeloid malignancies. Additional exploration of the mechanism of action of sabatolimab and identification of potential biomarkers predictive of response is planned. This abstract summarizes the design of the 4 ongoing STIMULUS trials in previously untreated adult pts with HR-MDS who are not eligible for intensive chemotherapy (IC) or HSCT. STIMULUS-MDS1 (NCT03946670) is an international, randomized, double-blind, placebo-controlled Ph II trial evaluating sabatolimab + HMA therapy in pts with very-high, high-, or intermediate-risk (vH/H/IR)-MDS which has completed enrollment (N=127). The primary endpoints of STIMULUS-MDS1 are complete response (CR) and progression-free survival (PFS). STIMULUS-MDS2 (NCT04266301) is an ongoing, international, randomized, double-blind, placebo-controlled, Ph III trial of sabatolimab + azacitidine (AZA) in pts with vH/H/IR-MDS or chronic myelomonocytic leukemia-2. Target enrollment is ~500 pts. The primary endpoint in this trial is overall survival (OS). Key secondary endpoints are time to definitive deterioration of fatigue; duration of RBC transfusion-free interval; and improvement of fatigue, physical functioning, and emotional functioning. Other endpoints include CR, marrow CR (mCR), partial remission (PR), PFS, and leukemia-free survival (LFS). STIMULUS-MDS2 is a trial that aims to determine if sabatolimab + HMA has a statistically significant and clinically meaningful benefit in OS and quality of life vs HMA alone. STIMULUS MDS-US (NCT04878432) is a US-based, open-label, single-arm, Ph II trial investigating sabatolimab + HMAs of investigators' choice (AZA intravenous [IV] or subcutaneous, decitabine IV or oral decitabine) in pts with vH/H/IR-MDS. Target enrollment is 90 pts. Primary endpoint is safety, which will be evaluated via incidence and severity of adverse events (AEs) and serious AEs. Secondary endpoints include CR, PFS, LFS, and OS. This trial will provide further understanding of sabatolimab + HMA therapy with additional insight into the safety and efficacy of sabatolimab + oral HMA. STIMULUS-MDS3 (NCT04812548) is an international, open-label, single-arm, Ph II trial that explores triplet therapy of sabatolimab combined with AZA and the BCL-2 inhibitor venetoclax (VEN) in pts with vH/HR-MDS. Part 1 of this trial is a safety run-in comprising 2 safety cohorts with ~6 pts receiving sabatolimab 400 mg + AZA + VEN and ~12 pts receiving sabatolimab 800 mg + AZA + VEN. Primary endpoint of part 1 is safety (dose-limiting toxicities between cycle 1 day 8 and end of cycle 2). If (both 400 and 800 mg) sabatolimab + AZA and VEN are safe, the trial will progress to an expansion cohort (~58 pts) of sabatolimab 800 mg Q4W + AZA + VEN. The primary endpoint is CR. Secondary endpoints include CR + mCR rate, overall response rate (CR + mCR + PR + hematologic improvement), OS, PFS, LFS, and event-free survival. The STIMULUS immuno-myeloid clinical trial program is investigating the efficacy, safety, and improved quality of life of multiple sabatolimab-based combination therapies in pts with myeloid malignancies. The goal of ongoing STIMULUS-MDS trials is to gain insight into the promising durable benefit of sabatolimab combination therapies in pts with HR-MDS. Figure 1 Figure 1. Disclosures Zeidan: Jazz: Consultancy; Jasper: Consultancy; Pfizer: Other: Travel support, Research Funding; AstraZeneca: Consultancy; Janssen: Consultancy; Novartis: Consultancy, Other: Clinical Trial Committees, Travel support, Research Funding; Loxo Oncology: Consultancy, Other: Clinical Trial Committees; Ionis: Consultancy; Kura: Consultancy, Other: Clinical Trial Committees; Incyte: Consultancy, Research Funding; Gilead: Consultancy, Other: Clinical Trial Committees; Genentech: Consultancy; Epizyme: Consultancy; Daiichi Sankyo: Consultancy; Geron: Other: Clinical Trial Committees; BMS: Consultancy, Other: Clinical Trial Committees, Research Funding; Cardiff Oncology: Consultancy, Other: Travel support, Research Funding; Boehringer Ingelheim: Consultancy, Research Funding; BioCryst: Other: Clinical Trial Committees; BeyondSpring: Consultancy; Astex: Research Funding; Astellas: Consultancy; Aprea: Consultancy, Research Funding; Amgen: Consultancy, Research Funding; Agios: Consultancy; ADC Therapeutics: Research Funding; Acceleron: Consultancy, Research Funding; AbbVie: Consultancy, Other: Clinical Trial Committees, Research Funding. Al-Kali: Astex: Other: Research support to institution; Novartis: Research Funding. Borate: Takeda: Membership on an entity's Board of Directors or advisory committees; Genentech: Membership on an entity's Board of Directors or advisory committees, Other: Advisory Board; Novartis: Membership on an entity's Board of Directors or advisory committees, Research Funding; Jazz Pharma: Research Funding; Blueprint Medicine: Membership on an entity's Board of Directors or advisory committees; Daiichi-Sankyo: Membership on an entity's Board of Directors or advisory committees; AbbVie: Membership on an entity's Board of Directors or advisory committees, Research Funding; Pfizer: Membership on an entity's Board of Directors or advisory committees, Research Funding; Astellas: Membership on an entity's Board of Directors or advisory committees; incyte: Membership on an entity's Board of Directors or advisory committees, Research Funding; Rampal: Membership on an entity's Board of Directors or advisory committees; Galecto, Inc.: Consultancy; Promedior: Consultancy. Cluzeau: Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: travel, accommodations, expenses, Speakers Bureau; Abbvie: Consultancy, Honoraria, Speakers Bureau; Agios: Honoraria; Amgen: Speakers Bureau; Jazz Pharma: Consultancy, Honoraria; Roche: Consultancy, Honoraria; Astellas: Speakers Bureau; BMS/Celgene: Consultancy, Honoraria, Speakers Bureau; Pfizer: Other: travel, accommodations, expenses; Takeda: Other: travel, accommodations, expenses. DeZern: Taiho: Consultancy, Membership on an entity's Board of Directors or advisory committees; Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees; Bristol-Myers Squibb: Consultancy, Membership on an entity's Board of Directors or advisory committees. Esteve: Jazz: Consultancy; Novartis: Consultancy, Research Funding; Astellas: Consultancy; Abbvie: Consultancy; Bristol Myers Squibb/Celgene: Consultancy; Pfizer: Consultancy; Novartis: Research Funding. Giagounidis: Novartis: Membership on an entity's Board of Directors or advisory committees; Amgen: Membership on an entity's Board of Directors or advisory committees. Platzbecker: Celgene/BMS: Honoraria; Novartis: Honoraria; Janssen: Honoraria; Geron: Honoraria; AbbVie: Honoraria; Takeda: Honoraria. Sallman: Kite: Membership on an entity's Board of Directors or advisory committees; Bristol-Myers Squibb: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; AbbVie: Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees; Agios: Membership on an entity's Board of Directors or advisory committees; Incyte: Speakers Bureau; Syndax: Membership on an entity's Board of Directors or advisory committees; Intellia: Membership on an entity's Board of Directors or advisory committees; Shattuck Labs: Membership on an entity's Board of Directors or advisory committees; Takeda: Consultancy; Aprea: Membership on an entity's Board of Directors or advisory committees, Research Funding; Magenta: Consultancy. Santini: Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees; Menarini: Membership on an entity's Board of Directors or advisory committees; BMS/Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Geron: Membership on an entity's Board of Directors or advisory committees; Takeda: Membership on an entity's Board of Directors or advisory committees; Gilead: Membership on an entity's Board of Directors or advisory committees; Astex: Membership on an entity's Board of Directors or advisory committees. Sanz: Amgen: Consultancy, Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Abbvie: Consultancy, Membership on an entity's Board of Directors or advisory committees; Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel, accommodations, and expenses, Research Funding; Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other: Travel, accommodations, and expenses, Speakers Bureau; Roche: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other: Travel, accommodations, and expenses; Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees; Helsinn Healthcare: Consultancy, Membership on an entity's Board of Directors or advisory committees; Boehringer Ingelheim: Consultancy, Membership on an entity's Board of Directors or advisory committees; Gilead Sciences: Other: Travel, accommodations, and expenses. Sekeres: Novartis: Membership on an entity's Board of Directors or advisory committees; Takeda/Millenium: Membership on an entity's Board of Directors or advisory committees; BMS: Membership on an entity's Board of Directors or advisory committees. Wei: Astra Zeneca: Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene/BMS: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Agios: Membership on an entity's Board of Directors or advisory committees; Genentech: Membership on an entity's Board of Directors or advisory committees; Pfizer: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Abbvie: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Astellas: Membership on an entity's Board of Directors or advisory committees; Roche: Membership on an entity's Board of Directors or advisory committees; Gilead: Membership on an entity's Board of Directors or advisory committees; Amgen: Membership on an entity's Board of Directors or advisory committees, Research Funding; Servier: Membership on an entity's Board of Directors or advisory committees, Research Funding; Macrogenics: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees. Van Hoef: Novartis Pharma: Current Employment. Nourry-Boulot: Novartis: Current Employment. Sadek: Novartis: Current Employment. Bengoudifa: Novartis Pharma AG: Current Employment. Sachs: Novartis Pharma AG: Current Employment. Sabo: Novartis: Current Employment, Current holder of stock options in a privately-held company. OffLabel Disclosure: Sabatolimab is a novel immuno-myeloid therapy targeting TIM-3 and is under investigation for the treatment of patients with myeloid malignancies
Abnl Marro: An International Cooperative Trial for Patients with MDS/MPN Overlap Syndromes
Fenaux, Pierre , Padron, Eric , Patnaik, Mrinal M. , Seegmiller, Adam C. , Savona, Michael R. , Platzbecker, Uwe , Itzykson, Raphaël , Sanz, Guillermo , Santini, Valeria , Solary, Éric

Blood | November 14, 2019 | Volume: 134 | Issue: Supplement_1 | Pages: 4273-4273

10.1182/blood-2019-130722 Get It

Background: Myelodysplastic/myeloproliferative neoplasms (MDS/MPN) in adult populations include several rare hematologic malignancies with similar clinicopathologic features that have a significant impact on patient QOL and lead to increased risk of infection, hemorrhage, anemia and transformation to AML (e.g. CMML, aCML, MDS/MPN-RST, and MDS/MPN-U). The only approved therapies for any of the MDS/MPNs are DNA methyltransferase inhibitors (DNMTis) for patients (pts) with CMML. Due to both the rarity and the heterogeneity of MDS/MPNs, it has been challenging to study in dedicated, prospective studies and thus refining treatment strategies has been difficult and optimal salvage treatments in pts who fail DNMTis have also not been rigorously studied. ABNL-MARRO (A Basket study of Novel therapy for untreated MDS/MPN and Relapsed/Refractory Overlap Syndromes) is an international cooperation providing the framework for clinical trials for MDS/MPN, and explore clinical-pathologic biomarkers. Study Design and Methods: The first study within ABNL-MARRO, ABNL MARRO 001 (AM-001), is an open label, randomized phase 1-2 study that will test 3 novel oral treatment combinations in MDS/MPNs, with each of 3 treatment arms including a novel targeted agent and ASTX727, a fixed dose combination of the DNMTi decitabine and the cytidine deaminase inhibitor cedazuridine to improve decitabine oral bioavailability. The novel agents combined with ASTX727 are: a selective JAK1 inhibitor itacitinib, pan PIM inhibitor INCB053914 and LSD1 inhibitor, INCB059872. Each combination will be tested first in a safety run-in (Phase 1b) to determine the RP2D and schedule of each combination therapy using a 3+3 de-escalation design, and a maximum of four dose decrements will be allowed. After the RP2D and schedule has been determined for a given novel drug combination, efficacy of that combination therapy in MDS/MPN pts will then be evaluated in phase 2 using a Simon's Two-Stage design to allow early discontinuation of any futile treatment regimen and to pursue potentially beneficial combinations in larger cohorts of pts. While each of the targeted agents either has undergone or is currently undergoing safety testing in combination with the DNMTi in myeloid diseases, clear rates of expected responses in MDS/MPN are not known. Retrospective studies of DAC or AZA reveal overall response rates (ORR) from 10-56% in CMML (Helbig et al, 2019; Duchman et al, 2018; Coston et al, 2019). The ORR from the ASTX727 single agent phase I study was 30%, but this included only 14% CMML (remainder MDS pts) and 45% of pts with previous treatment with AZA or DAC (Savona et al, 2019). Finally, and importantly, there are insufficient clinical trial data available for pts non-CMML MDS/MPN syndromes. Thus, the criteria for the Simon's Two-Stage design for each arm are based on best estimation from results of above studies. Accordingly, the null hypothesis that the ORR, as per the MDS/MPN Proposed Response Criteria (Savona et al, 2015; combined CR+MR+PR+Clinical benefit - CB), is 35%, will be tested against a one-sided alternative. In the first stage, 14 DNMTI-treatment naïve (TN) pts will be accrued in each AM-001 Arm and will receive treatment at the RP2D and schedule of the novel targeted agent and of ASTX727, as determined in the phase 1. If there are 5 or fewer responses in these 14 pts before the 7th cycle of therapy, the Arm will be stopped for futility. Otherwise, 30 additional pts (including both TN subjects and subjects relapsed after/refractory to other DNMTI-containing therapies) will be accrued for a total of 44. The null hypothesis will be rejected if 21 or more responses are observed in 44 pts before the 7th cycle of therapy. This design yields a type I error rate of 0.05 and power of 80% when the true response rate is 55%. The probability of early termination and expected sample size of any arm is 64% and 25 pts, respectively, assuming low (35% RR) efficacy Beyond the primary objectives of the study to evaluate the safety and efficacy of novel treatment combinations in MDS/MPN, the study will establish the ABNL MARRO infrastructure that leverages the expertise of the MDS/MPN international working group (IWG) for future prospective studies; will forge innovative scientific research that will improve our understanding of pathogenetic etiologies; and will inform the clinical application of diagnosis, risk stratification tools, and response assessments in MDS/MPNs. Disclosures Savona: AbbVie: Membership on an entity's Board of Directors or advisory committees; Sunesis: Research Funding; TG Therapeutics: Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda: Membership on an entity's Board of Directors or advisory committees, Research Funding; Selvita: Membership on an entity's Board of Directors or advisory committees; Karyopharm Therapeutics: Consultancy, Equity Ownership, Membership on an entity's Board of Directors or advisory committees; Incyte Corporation: Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene Corporation: Membership on an entity's Board of Directors or advisory committees; Boehringer Ingelheim: Patents & Royalties. Fenaux:Aprea: Research Funding; Jazz: Honoraria, Research Funding; Astex: Honoraria, Research Funding; Celgene Corporation: Honoraria, Research Funding. Padron:Incyte: Research Funding. Patnaik:Stem Line Pharmaceuticals.: Membership on an entity's Board of Directors or advisory committees. Platzbecker:Abbvie: Consultancy, Honoraria; Celgene: Consultancy, Honoraria; Novartis: Consultancy, Honoraria. Sanz:Amgen: Membership on an entity's Board of Directors or advisory committees, Research Funding; Boehringer-Ingelheim: Membership on an entity's Board of Directors or advisory committees; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Helsinn Healthcare: Membership on an entity's Board of Directors or advisory committees, Research Funding; Hoffman - La Roche: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen - Cilag: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Onconova: Membership on an entity's Board of Directors or advisory committees, Research Funding; AbbVie: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Santini:Menarini: Membership on an entity's Board of Directors or advisory committees; Amgen: Membership on an entity's Board of Directors or advisory committees; Acceleron: Membership on an entity's Board of Directors or advisory committees; Celgene Corporation: Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees; Johnson & Johnson: Honoraria. OffLabel Disclosure: ASTX727, LSD1 inh, PIM inh, JAK1 inh in MDS/MPN