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Amanam, Idoroenyi

https://orcid.org/0000-0003-4819-4628

Mayo Clinic

City Of Hope National Medical Center

Citations 4

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.
Risk prediction for clonal cytopenia: multicenter real-world evidence
Xie, Zhuoer , Komrokji, Rami S. , Al‐Ali, Najla, Regelson, Alexandra, Geyer, Susan, Patel, Anand , Saygin, Caner , Zeidan, Amer M. , Mendez, Lourdes , Coombs, Catherine C. , Madanat, Yazan F. , Chung, Stephen S. , Badar, Talha , Foran, James M. , Tsai, Charlton , Amanam, Idoroenyi , Deeg, H. Joachim , Adès, Lionel, Osman, Afaf E.G. , Dinner, Shira, Chandhok, Namrata S. , Soong, Deborah, Brunner, Andrew M. , Ferrari, Jacqueline, Pozzi, Sara , Padron, Eric , Patnaik, Mrinal M. , Al‐Kali, Aref , Adès, Lionel , Komrokji, Rami S , Mendez, Lourdes , Zeidner, Joshua F , Madanat, Yazan , Badar, Talha , Griffiths, Elizabeth A. , Al Malki, Monzr M , Lai, Catherine , Arana Yi, Cecilia , Osman, Afaf E G , Abaza, Yasmin , Taylor, Justin , Chandhok, Namrata , Carraway, Hetty E. , Elena, Chiara , Gallì, Anna , Patnaik, Mrinal , Malcovati, Luca , Savona, Michael R , Al-Kali, Aref , Patel, Anand , Xie, Zhuoer , Zeidan, Amer M , Bewersdorf, Jan Philipp , Kishtagari, Ashwin , Zeidner, Joshua F. , Desai, Pinkal , Malki, Monzr M. Al , Lai, Catherine , Yi, Cecilia Arana , Abaza, Yasmin , Singh, Abhay , Malcovati, Luca , Savona, Michael R.

Blood | July 12, 2024 | Volume: 144 | Issue: 19 | Pages: 2033-2044

10.1182/blood.2024024756 Get It

Abstract Clonal cytopenia of undetermined significance (CCUS) represents a distinct disease entity characterized by myeloid-related somatic mutations with a variant allele fraction of ≥2% in individuals with unexplained cytopenia(s) but without a myeloid neoplasm (MN). Notably, CCUS carries a risk of progressing to MN, particularly in cases featuring high-risk mutations. Understanding CCUS requires dedicated studies to elucidate its risk factors and natural history. Our analysis of 357 patients with CCUS investigated the interplay between clonality, cytopenia, and prognosis. Multivariate analysis identified 3 key adverse prognostic factors: the presence of splicing mutation(s) (score = 2 points), platelet count of <100 × 109/L (score = 2.5), and ≥2 mutations (score = 3). Variable scores were based on the coefficients from the Cox proportional hazards model. This led to the development of the clonal cytopenia risk score (CCRS), which stratified patients into low- (score of <2.5 points), intermediate- (score of 2.5 to <5), and high-risk (score of ≥5) groups. The CCRS effectively predicted 2-year cumulative incidence of MN for low- (6.4%), intermediate- (14.1%), and high-risk (37.2%) groups, respectively, by the Gray test (P < .0001). We further validated the CCRS by applying it to an independent CCUS cohort of 104 patients, demonstrating a c-index of 0.64 (P = .005) in stratifying the cumulative incidence of MN. Our study underscores the importance of integrating clinical and molecular data to assess the risk of CCUS progression, making the CCRS a valuable tool that is practical and easily calculable. These findings are clinically relevant, shaping the management strategies for CCUS and informing future clinical trial designs.
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