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1793 Variables Associated with Outcomes in Patients with Chronic Neutrophilic Leukemia with CSF3RT618I : A Multi-Centre Retrospective Study

Program: Oral and Poster Abstracts
Session: 634. Myeloproliferative Syndromes: Clinical and Epidemiological: Poster I
Hematology Disease Topics & Pathways:
Research, MPN, Clinical Research, Chronic Myeloid Malignancies, Diseases, Real-world evidence, Myeloid Malignancies
Saturday, December 7, 2024, 5:30 PM-7:30 PM

Qian Jiang, MD1, Na Xu2*, Xiaoli Liu2*, Li Meng, MD3*, Suning Chen4*, Jianyong Li, MD5, Linhua Yang6*, Chun-Yan Chen, MD7*, Limei Chen, MD8*, Jie Sun, PhD9*, Ling Pan10*, Minghui Duan11*, Hongmei Jing, MD12, Jinhai Ren, MD13*, Fengru Lin, MD14*, Xuemei Qin15*, Junqing Xu16*, Robert Peter Gale, MD17, Mingfeng Zhao18, Zhilan Pan, MD19*, Xianhua Yuan20*, Lijuan Cui21*, Zhijian Xiao, MD22* and Li Weiming23*

1National Clinical Research Center for Hematologic Disease, Peking University People’s Hospital, Peking University Institute of Hematology, Beijing, Beijing, China
2Department of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, China
3Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
4The First Affiliated Hospital of Soochow University, Suzhou, China
5First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China
6The Second Hospital of Shanxi Medical University, Taiyuan, China
7Department of Hematology, Qilu Hospital of Shandong University, Jinan, China
8Department of Hematology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'An, China
9Bone Marrow Transplantation Center of The First Affiliated Hospital & Liangzhu Laboratory, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
10West China Hospital, Sichuan University, Tianjin, AL, China
11Department of Hematology, Peking Union Medical College Hospital, Beijing, China
12Department of Hematology, Lymphoma Research Center, Peking University Third Hospital, Beijing, China
13The Second Hospital of Hebei Medical University, Shijiazhuang, China
14The Second Hospital of Hebei Medical University, Shijiazhuang, CHN
15Department of Hematology, Qilu Hospital, Shandong University, Jinan, China
16Department of Hematology, Yantai Yuhuangding Hospital Affiliated to Qingdao University, Qingdao, China
17Centre for Haematology, Department of Immunology and Inflammation, Imperial College of Science, Technology and Medicine, London, United Kingdom
18Department of Hematology, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, China
19Shijiazhuang People's Hospital, Shijiazhuang, China
20The First Affiliated Hospital of Xingtai Medical College, Xingtai, China
21The General Hospital of Ningxia Medical University, Ningxia, CHN
22Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
23Department of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China

Background Chronic neutrophilic leukaemia (CNL) is a rare, progressive myelo-proliferative neoplasm with poor prognosis. However, there were limited data on outcome prediction in CNL.

Objectives To explore the co-variates associated with transformation-free survival (TFS) and survival in patients with CNL with CSF3RT618I.

Methods Data of adults with CNL from 30 medical centres throughout China were retrospectively interrogated. Diagnosis was based on the 2022 International Consensus Classification criteria and we focused only on those harboring CSF3RT618I. TFS was defined as an interval from diagnosis to blasts ≥ 20% in blood or bone marrow or last follow-up. Survival was defined as an interval from diagnosis to death from any cause or last follow-up. TFS and survival were calculated by the Kaplan-Meier method. The X-tile plots wa used to determine optimal cut-off value continuous co-variates. Cox regression model was utilized to identify co-variates associated with outcomes.

Results A total of 94 patients were enrolled. 72 (77%) patients were male. Median age at diagnosis was 60 years (IQR, 48-69). 36 (38%) patients had ≥ 1 comorbidity(ies). 56 (60%) patients had palpable splenomegaly. In 85 patients tested ASXL1 and SETBP1 mutations, 39 (46%) had an ASXL1 mutation; 40 (47%), a SETBP1 mutation; 25 (29%), concurrent ASXL1 and SETBP1 mutations. With a median follow-up of 29 months (IQR, 14-48), 23 patients received ruxolitinib or combined with hydroxyurea, interferon, decitabine or azacitidine, 17 (74%) of them had hematologic improvement.

19 of 89 subjects with a known outcome developed AML (n = 17), ALL (n = 1) or chronic myelomono-cytic leukemia (n = 1) at a median of 24 months (IQR, 16-42). 15 subjects receiving a transplant in the first (n = 13) or second chronic phase (n = 2). 52 (55%) subjects died of progressive refractory neutrophilic leukocytosis (n = 14), AML (n = 12), infection and/or haemorrhage (n = 16), cardiac death (n = 2), spleen rupture (n = 1) and unknown causes (n = 7). Median TFS and survival were 60 months (95%CI, 24-76) and 34 months (24-44), respectively. 4-year probabilities of TFS and survival were 59% (42-77%) and 36% (24-47%).

In multi-variable analyses platelet ≤ 112×10E+9/L (HR = 6.5 [2.2, 19.6]; p = 0.001) was significantly-associated with poor TFS; age ≥ 64 years (HR = 3.0 [1.6, 5.4]; p < 0.001), WBC count ≥ 47×10E+9/L (HR = 1.9 [1.1, 3.4]; p = 0.024), hemoglobin concentration ≤ 119 g/L (HR = 2.1 [1.1, 3.9]; p = 0.018), poor survival. When censored at transplant, besides older age and anemia, splenomegaly ≥ 8 cm under the left costal margin (HR = 2.2 [1.0, 4.6]; p = 0.039) instead of high WBC count was identified as another adverse predictor for survival. In addition, harboring ASXL1 mutation (HR = 6.4 [2.0, 20.9]; p = 0.002) was significantly-associated with poor TFS in the 83 subjects with available data of gene mutations and known outcome including death causes.

Based on the number of adverse clinical prognostic co-variates for survival (age ≥ 64 years, WBC count ≥ 47×10E+9/L and hemoglobin concentration ≤ 119 g/L), all 94 patients were classified into the low- (0; n = 18; 19%), intermediate- (1; n = 29; 31%) and high-risk (2-3; n = 47; 50%) cohorts with significant difference in survival with 4-year survival rates of 65% (30-100%), 56% (34-78%) and 9% (0-21%, p < 0.001), respectively. HRs with the low-risk cohort as reference were 3.2 (1.0, 11.0; p = 0.069) and 9.4 (2.8, 31.4; p < 0.001; p-value for trend < 0.001).

Among 29 patients with targeted DNA sequencing, 22 (76%) were detected to have ≥ 1 mutation(s) besides CSF3R mutation. The most common mutation was ASXL1 (n = 17, 59%), followed by SETBP1 (n = 10, 34%), SRSF2 (n = 7, 24%) and U2AF1 (n = 6, 21%). ASXL1 mutation showed significant co-occurrence with SETBP1 mutation (n = 9, OR = 11.4, p = 0.019). Compared with wild type ASXL1, those harbored ASXL1 mutation was associated with shorter survival (31 [22-40] vs. not reached, p = 0.052) and TFS (30 [19-41] vs. 60 [8-100], p = 0.088) when censored at transplant.

Conclusions

Older age, higher WBC count, anaemia, low platelet count, splenomegaly, and ASXL1 co-mutation were correlated with worse outcomes in patients with CNL harboring CSF3RT618I.

Disclosures: No relevant conflicts of interest to declare.

*signifies non-member of ASH