Characteristics and clinical outcomes of ND-AML patients with bcor/bcorl1 mutations

S Shaolei Zang (1Department of Hematology, Qilu Hospital of Shandong University, Jinan, China) C Chunyan Ji X Xiaosheng Fang Q Qingshu Zeng (3The first affiliated hospital of Anhui medical university, Hefei, China) S Suning Chen Z Zheng Ge (1Zhongda Hospital, Southeast University, Nanjing, China) Z Zhiling Yan J Junmin Li Y Yu Zhu S Shaoyuan Wang (Union Clinical Medical College,Fujian Medical University, China) M Min Ji Z Zhenqi Huang (5The First Affiliated Hospital of Anhui Medical University, Hefei, China) X Xueqing Dou (4The first affiliated hospital of Soochow university, Suzhou, China) H Hongming 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) B Bing Xu H Huarong Zhou Z Zhiyong Zeng (12The first affiliated hospital of Fujian medical university, Fuzhou, China) H Hao Chen J Jingtao Wang (State Key Laboratory of Critical Metals Beneficiation, Metallurgy and Purification, School of Chemical Engineering) H Huafeng Wang J Jie Jin (School of Emergency Management, School of the Environment and Safety Engineering) J Jingjing Ye E East China Leukemia Alliance China (16ECLA, East West, China)

Abstract

Abstract 1.Background: Acute myeloid leukemia (AML) remains a challenging hematologic malignancy with heterogeneous genetic and clinical features. BCOR and BCORL1 mutations, occurring in approximately 3-5%[1] of AML cases, have been classified as adverse prognostic markers together with other secondary-type mutations in some risk stratification systems. Yet there is different opinions on the prognostic meaning of BCOR/BCORL1 mutations in AML, the clinical implications of BCOR and BCORL1 remain incompletely understood, underscoring the need for further investigation to optimize treatment approaches.Methods We conducted a retrospective multi-center study including patients with BCOR and/or BCORL1 mutated ND-AML who were consecutively treated at ECLA between August 2018 and April 2025. Patient demographics, disease characteristics , co-mutations, treatment related variables and survival outcomes were extracted. For efficacy analysis, the patients were divided into VA-based cohort, “7+3”cohort, HMA+chemo cohort and Target+chemo cohort.Findings Patients characteristics: 160 patients were enrolled (aged18-91 years; median 60 years), of which 76/160 cases were male, 84/160 cases were female. Patients in the VA-base cohort were older than those in the “7+3” cohort (Median age: 65 vs 47).The median white blood count was 5.34*10^9/l, median HGB was 75.5g/l, and median platelet count was 54*10^9/l. The median bone marrow blast cell proportion was 51.2%. Most patients(116/160) were with normal karyotypeMutational landscape in AML with BCOR/BCORL1 mutations: BCOR/BCORL1 mutations were found to be most highly associated with mutations in DNMT3A, NRAS, FLT3, RUNX1, IDH2, TET2, ASXL1, NPM1, IDH1, U2AF1 genes.Efficacy observation: After one cycle of treatment, 54.5%(72/132)patients reached cCR in total, 68.9%(31/49) patients reached cCR in VA-based cohort, 44.7% (12/26)patients reached cCR in “7+3”cohort, 46.2% (12/26)patients reached cCR in HMA+chemo cohort, and 53.8% (7/13)patients reached cCR in target+chemo cohort. The patients treated with VA-based regimen got a significantly higher cCR than “7+3”group(P = 0.046) .Survival analysis: With a median follow-up of 9 months, the median overall survival (OS) was 27months. With a median follow-up of 8.6 months, the median relapse-free survival (RFS) was 15 months in total. There was no significant difference between different treatment cohort.Conclusion BCOR/BCORL1-mutated AML were highly associated with DNMT3A, NRAS, FLT3, RUNX1, IDH2, TET2, ASXL1, NPM1, IDH1, U2AF1 co-mutations. VA-based treatment significantly increased the cCR than “7+3” regimen, yet the higher remission rate didn't turn into survival benefit. Part of the reason for this situation is the age shift between the two groups. 1.Papaemmanuil E, Gerstung M, Bullinger L, et al. Genomic Classification and Prognosis in Acute Myeloid Leukemia. N Engl J Med. 2016;374(23):2209–2221.

Article Details

Journal Blood
Volume / Issue Vol. 146, Issue Supplement 1
Published November 03, 2025
Pages 7005-7005
ISSN 0006-4971
Publisher Elsevier BV

Journal Info

Blood

Elsevier BV

ISSN: 0006-4971 Health Sciences

Authors (23)

S

Shaolei Zang

1Department of Hematology, Qilu Hospital of Shandong University, Jinan, China

C

Chunyan Ji

X

Xiaosheng Fang

Q

Qingshu Zeng

3The first affiliated hospital of Anhui medical university, Hefei, China

S

Suning Chen

Z

Zheng Ge

1Zhongda Hospital, Southeast University, Nanjing, China

Z

Zhiling Yan

J

Junmin Li

Y

Yu Zhu

S

Shaoyuan Wang

Union Clinical Medical College,Fujian Medical University, China

M

Min Ji

Z

Zhenqi Huang

5The First Affiliated Hospital of Anhui Medical University, Hefei, China

X

Xueqing Dou

4The first affiliated hospital of Soochow university, Suzhou, China

H

Hongming 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

B

Bing Xu

H

Huarong Zhou

Z

Zhiyong Zeng

12The first affiliated hospital of Fujian medical university, Fuzhou, China

H

Hao Chen

J

Jingtao Wang

State Key Laboratory of Critical Metals Beneficiation, Metallurgy and Purification, School of Chemical Engineering

H

Huafeng Wang

J

Jie Jin

School of Emergency Management, School of the Environment and Safety Engineering

J

Jingjing Ye

E

East China Leukemia Alliance China

16ECLA, East West, China