Back to Authors

Haque, Tamanna Zohra

0009-0001-7999-5842

Mayo Clinic

Memorial Sloan Kettering Cancer Center

Citations 3

NCCN Guidelines® Insights: Myelodysplastic Syndromes, Version 2.2025
Greenberg, P, Stone, Richard M. , Al‐Kali, Aref , Bennett, John M. , Borate, Uma , Brunner, Andrew M. , Chai‐Ho, Wanxing , Curtin, Peter , Gaensler, Karin, Gahvari, Zhubin, Garcia-Manero, Guillermo, Jacoby, Meagan A., Keel, Sioḃán , Khanal, Rashmi, Maness, Lori J., McMahon, Christine M. , Odenike, Olatoyosi , Osman, Afaf, Sallman, David A. , Sayar, Hamid , Shallis, Rory M. , Tanaka, Tiffany , Kovach, Emily, Nguyen, Jamie , Hochstetler, Cindy, Osman, Afaf E.G. , Osman, Afaf E G , Abaza, Yasmin , Anand, Sarah , Ball, Brian J. , Dezern, Amy Elizabeth , Garcia‐Manero, Guillermo , Griffiths, Elizabeth A. , Haque, Tamanna Zohra , Jonas, Brian A. , Kishtagari, Ashwin , Madanat, Yazan F. , McCurdy, Shannon , Reddy, Vishnu , Singh, Abhay , Thota, Swapna , Kovach, Emily

Journal of the National Comprehensive Cancer Network | March 12, 2025 | Volume: 23 | Issue: 3 | Pages: 66-75

10.6004/jnccn.2025.0013 Get It

The NCCN Guidelines for Myelodysplastic Syndromes (MDS) provide recommendations for the evaluation, diagnosis, and comprehensive care of patients with MDS based on a review of recent clinical evidence that has led to important advances in treatment or has yielded new information on biologic factors that may have prognostic significance in MDS. The multidisciplinary panel of MDS experts is convened at least on an annual basis. During the annual meeting, the panel evaluates new and emerging data to inform their recommendations. These NCCN Guidelines Insights review the recent updates, including treatment recommendations both for lower-risk and higher-risk MDS, preference stratification of therapeutic agents, and emerging data on novel therapeutics.
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<.001), and median leukemia-free survival (LFS) ranging from 210 to 18 months (P<.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<.001) and identified groups of patients with different probabilities of disease relapse, ranging from 9% to 62% (P<.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.
Preliminary Safety and Biomarker Results of the NLRP3 Inflammasome Inhibitor DFV890 in Adult Patients with Myeloid Diseases: A Phase 1b Study
Garcia‐Manero, Guillermo , Greenberg, Peter L. , Kennedy, Kyra Velázquez, Stahl, Maximilian , Mangaonkar, Abhishek A. , Garnier, Alice , Pelizzari, Anna Maria, Sockel, Katja , Lu, Hongbo, Manganelli, Luca, Ji, Lexiang , Zheng, Yan , Li, Yutong , Roy, Mike, Gatlik, Ewa , Singh, Arti, Beaulieu, Valérie , Gill, Harinder , Abaza, Yasmin , Haque, Tamanna Zohra , Porta, Matteo Giovanni Della , Ooi, Melissa , Xie, Zhuoer , Desai, Pinkal , Dezern, Amy Elizabeth , Meunier, Mathieu , Platzbecker, Uwe , Kishtagari, Ashwin , Li, Yutong, Roy, Mike, Pelletier, Marc R. , Rauch, Philipp J.

Blood | December 5, 2024 | Volume: 144 | Issue: Supplement 1 | Pages: 353-353

10.1182/blood-2024-198326 Get It

Introduction Patients with lower-risk (LR) myelodysplastic syndrome (MDS) and chronic myelomonocytic leukemia (CMML) experience shortened survival and significant unmet medical need due to limited disease-modifying treatments. The NLRP3 pathway is activated in hematopoietic stem and progenitor cells and in the marrow microenvironment in myeloid neoplasms, contributing to ineffective hematopoiesis and clonal progression. DFV890, a small molecule NLRP3 inhibitor, blocks IL-1β and IL-18 secretion and pyroptotic cell death. Thus, DFV890 may disrupt the smoldering inflammation and provide disease-modifying benefits to patients by restoring normal hematopoiesis and suppressing clonal myeloproliferation. Methods This open-label, phase 1b, multicenter study evaluates DFV890 in patients with very low, low, or intermediate risk MDS per revised International Prognostic Scoring System (IPSS-R) criteria and low or intermediate-1 risk CMML per CMML-specific Prognostic Scoring System (CPSS) criteria (NCT05552469). The study comprises 2 parts: dose optimization and dose expansion. Eligible patients ≥18 years, with ECOG performance status ≤2, carrying a diagnosis of (a) IPSS-R-defined LR-MDS or (b) CPSS-defined LR-CMML, and have failed to respond to or not tolerated established first-line therapies as defined in the protocol. Key exclusion criteria include previous treatment with agents targeting the NLRP3 inflammasome and IL-1 pathway. DFV890 is administered orally twice daily (BID) for a minimum of 24 weeks (6 cycles of treatment) until treatment discontinuation. In the dose-optimization part, patients are randomized to receive either low- or high-dose, stratified by indication. Primary objectives are to assess safety and tolerability and determine the optimal for DFV890. Secondary objectives include assessment of pharmacokinetics, and evaluation of preliminary efficacy of DFV890 based on hematologic improvement (Garcia-Manero, Blood 2023). Exploratory objectives include assessment of peripheral cytokines and genetic alterations in blood and bone marrow, and patient-reported symptoms. Results As of April 15, 2024, 39 patients (median age, 74 years) with a median of 2 prior lines of therapy (range: 1-5) were treated with DFV890 in the dose-optimization part. Based on an 8-week screening period, 8 patients (20.5%) were RBC transfusion independent at baseline. Eighteen patients received low dose (17 with LR-MDS; 1 with LR-CMML), and 21 patients received high dose (18 with LR-MDS; 3 with LR-CMML). At data cutoff, 10 (25.6%) patients had discontinued treatment. Median duration of exposure was 10.7 weeks (range, 0.6-42.0 weeks). Adverse events (AEs) leading to study drug discontinuation were only reported in the high dose arm (2 patients, grade ≥3 neutropenia, n=1 and blood bilirubin increased, n=1). Treatment-related AEs (TRAEs) were reported in 10 patients (25.6%), with 4 (10.3%) experiencing grade ≥3 TRAEs (anemia [n=2], neutropenia, and rash [n=1 each]). No serious AEs related to DFV890 were reported. Peripheral cytokines were assessed as a marker of preliminary activity. Decrease in plasma IL-18 and IL-1RA levels observed in most patients, with a higher frequency in the low dose arm (IL-18 decreased in 8/8 patients in low dose arm vs. 4/7 in high dose arm; IL-1RA in 7/8 vs. 5/7), potentially due to less frequent dose interruptions. Changes in serum IL-6 levels were more heterogeneous; notably, among the patients with complete mutation and biomarker data, both patients with mutations in TET2 showed dramatic decreases in serum IL-6; IL-18 and IL-1RA also decreased in those patients. In addition, out of 8 patients who were transfusion-independent at baseline, 6 reported an increase in hemoglobin with treatment, 4 of whom with an increment >10% from baseline. Updated data including hematologic response assessment according to IWG will be presented at the meeting. Conclusions Preliminary findings from this ongoing study show a favorable safety profile in patients with LR-MDS and LR-CMML, in line with prior human studies with DFV890. Analysis of peripheral cytokines and hematologic parameters showed early indications of activity in a subset of patients, particularly those with mutations in TET2 and those transfusion independent at baseline. These findings will require confirmation with longer follow-up and in the dose expansion phase of the study.