Distinct prognosis and transplant timing in core-binding factor Acute Myeloid Leukemia

J Jingtao Huang Y Yunxiang Zhang (State Key Laboratory of Natural Product Chemistry, Key Laboratory of Nonferrous Metal Chemistry and Resources Utilization of Gansu Province, College of Chemistry and Chemical Engineering) Y Yi Xia Y Yuqing Tu (3National Clinical Research Center for Hematologic Diseases, Key Laboratory of Thrombosis and Hemostasis of Ministry of Health, Jiangsu Institute of Hematology, the First Affiliated Hospital of Soochow University, Suzhou, China) H Hao Xu Y Yeqian Zhao (1Bone Marrow Transplantation Center of the First Affiliated Hospital & Liangzhu Laboratory, Zhejiang University School of Medicine, HangZhou, China) J Jiayu Huang H Han Yan Z Zengkai Pan (1Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China) C Chuanhe Jiang (1Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China) L Luxiang Wang (State Key Laboratory of Chemistry and Utilization of Carbon Based Energy Resources College of Chemistry Xinjiang University Urumqi China) Z Zilu Zhang (State Key Laboratory of Elemento-Organic Chemistry, State Key Laboratory of Advanced Chemical Power Sources, College of Chemistry) X Xiangqin Weng (1Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China) Y Yongmei Zhu (1Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China) X Xiaoyu Zhu Y Yanmin Zhao (1The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China, Hangzhou, China) Y Yang Cao J Jia Chen X Xiao-Dong Mo (1Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Peking University, Beijing, China) X Xiaoxia Hu (1Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China)

Abstract

Abstract Introduction: Core binding factor acute myeloid leukemia (CBF-AML), defined by t(8;21)/RUNX1::RUNX1T1 or inv (16)/CBFβ::-MYH11, is categorized as favorable-risk due to its high remission rate and better relapse-free survival. We aimed to delineate the similarities and differences in treatment response and prognosis between AML patients with RUNX1::RUNX1T1 and CBFβ::MYH11 fusions. Methods: 779 de novo CBF-AML patients (511 RUNX1::RUNX1T1, 225 CBFβ::MYH11) were enrolled. Measurable residual disease (MRD) was assessed via multi-parameter flow cytometry (MFC-MRD) and quantitative polymerase chain reaction (Mol-MRD) during/after treatment. Responders are defined as achieving MRD negativity (MFC-MRD 0.01% aberrant cells and Mol-MRD > 3-log reduction) after the second consolidation cycle (C2). Otherwise, it is considered positive. Survival analyses employed Kaplan-Meier and landmark methods (3-month cutoff [corresponding to the median time of C2 completion] for immortal time bias). Treatment response comparisons used time-dependent Cox models, while relapse risks were evaluated via the Prentice, Williams and Peterson (total times) (PWP-TT) modeling. Logistics regression models were used to develop the predictive model for the responses after C2. Results: With a median follow-up of 34.6 months (range: 3.9-106.2), early mortality by C2 was lower in RUNX1::RUNX1T1 (4.7%, n=25) versus CBFβ::MYH11 (7.1%, n=18, P = 0.042) patients. The 3-year overall survival (OS) was significantly better in patients with CBFβ::MYH11 compared to RUNX1::RUNX1T1 (90.2% vs 80.6%, P = 0.011). 695 patients were evaluable for C2 assessment, with 42.5% with RUNX1::RUNX1T1(n = 206) and 33.2% with CBFβ::MYH11 fusions (n = 74) as responders. Landmark analysis showed superior 3-year OS for RUNX1::RUNX1T1responders vs. non-responders (86.3% vs. 76.5%, P = 0.008), however, responders and non-responders have comparable survival outcomes in patients with CBFβ::MYH11 (95.1% vs. 88.1%, P= 0.49). Multivariable Cox model further identified Mol-MRD positivity (HR [95%CI]: 1.96[1.08–3.54], P = 0.026) and/or MFC-MRD positivity (2.79[1.61–4.85], P<0.001) at C2 as significant risk factors for RUNX1::RUNX1T1 survival, with no associations in CBFβ::MYH11. PWP-TT model showed that non-responders at C2 were related to more relapses in the RUNX1::RUNX1T1 patients (Mol-MRD positivity: 2.126[1.181-3.828], P = 0.012; MFC-MRD positivity: 2.855[1.733-4.704], P < 0.001), but not in patients with CBFβ::MYH11 fusion. Allogeneic hematopoietic stem cell transplantation (allo-HCT) was a protective factor for long-term survival (HR [95%CI]: 0.391 [0.206-0.740], P = 0.004) with the multivariable Cox model and relapse (HR [95%CI]: 0.565 [0.386-0.828], P = 0.003) with the PWP-TT model in RUNX1::RUNX1T1 patients, but not for CBFβ::MYH11 patients. Integration of landmark analysis and time-dependent cohort allocation, we found that for RUNX1::RUNX1T1 non-responders, allo-HCT provided a superior 3-year OS compared with chemotherapy (81.9% vs. 56.4%, P < 0.001), which was different from non-responders with CBFβ::MYH11. Responders with RUNX1::RUNX1T1 or CBFβ::MYH11 had comparable outcomes when consolidated with allo-HCT or chemotherapy. Transplant in first CR provided better outcomes for RUNX1::RUNX1T1 (3-year OS: CR1-HCT 85.8% vs. non-CR1-HCT 71.4%, P < 0.001; relapses: CR1-HCT 8.3% vs. non-CR1 18.9%, P = 0.024). Consolidation therapies did not show significant impacts on long-term outcomes in CBFβ::MYH11 patients (3-year OS: Chemotherapy vs. non-CR1-HCTvs. CR1-HCT: 89.9% vs. 90.7% vs. 92,2%, P = 0.871). At last, we developed a comprehensive predictive model for C2 response incorporating clinical factors: (age < 40y [1 score], initial white blood count [<50 × 109/L: 1 score; 50-100: 2 score; > 100: 3 scores]; hemoglobin < 100 g/L [1 score]), mutational profiling (KIT D816/D822 variants [3 scores], other KIT mutations [1 score], FLT3-ITD [1 score]), as well as initial RUNX1::RUNX1T1/ABL value (<500%[4 scores], 500-1000%[3 scores], 1000-1500%[2 scores], ≥1500%[1 score]). A score ≥8 predicted non-response with 78.3% specificity and 57.4% sensitivity, effectively identifying high-riskRUNX1::RUNX1T1 AML cases needing urgent transplant evaluation. Conclusion: For CBFβ::MYH11 AML, C2 assessment offers minimal clinical significance, with allo-HCT reserved for CR2. In contrast, RUNX1::RUNX1T1 patients with post-C2 MRD positivity should receive allo-HCT at CR1.

Article Details

Journal Blood
Volume / Issue Vol. 146, Issue Supplement 1
Published November 03, 2025
Pages 5297-5297
ISSN 0006-4971
Publisher Elsevier BV

Journal Info

Blood

Elsevier BV

ISSN: 0006-4971 Health Sciences

Authors (20)

J

Jingtao Huang

Y

Yunxiang Zhang

State Key Laboratory of Natural Product Chemistry, Key Laboratory of Nonferrous Metal Chemistry and Resources Utilization of Gansu Province, College of Chemistry and Chemical Engineering

Y

Yi Xia

Y

Yuqing Tu

3National Clinical Research Center for Hematologic Diseases, Key Laboratory of Thrombosis and Hemostasis of Ministry of Health, Jiangsu Institute of Hematology, the First Affiliated Hospital of Soochow University, Suzhou, China

H

Hao Xu

Y

Yeqian Zhao

1Bone Marrow Transplantation Center of the First Affiliated Hospital & Liangzhu Laboratory, Zhejiang University School of Medicine, HangZhou, China

J

Jiayu Huang

H

Han Yan

Z

Zengkai Pan

1Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

C

Chuanhe Jiang

1Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

L

Luxiang Wang

State Key Laboratory of Chemistry and Utilization of Carbon Based Energy Resources College of Chemistry Xinjiang University Urumqi China

Z

Zilu Zhang

State Key Laboratory of Elemento-Organic Chemistry, State Key Laboratory of Advanced Chemical Power Sources, College of Chemistry

X

Xiangqin Weng

1Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

Y

Yongmei Zhu

1Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

X

Xiaoyu Zhu

Y

Yanmin Zhao

1The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China, Hangzhou, China

Y

Yang Cao

J

Jia Chen

X

Xiao-Dong Mo

1Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Peking University, Beijing, China

X

Xiaoxia Hu

1Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China