1.Clinical and molecular characteristics of myeloproliferative neoplasms patients with NFE2 gene mutations
Songyang ZHAO ; Bing LI ; Zefeng XU ; Tiejun QIN ; Shiqiang QU ; Lijuan PAN ; Meng JIAO ; Qingyan GAO ; Huijun WANG ; Qi SUN ; Yujiao JIA ; Yiru YAN ; Jingye GONG ; Fuhui LI ; Xin WANG ; Zhijian XIAO
Chinese Journal of Hematology 2025;46(10):943-951
Objective:To explore the clinical features and molecular characteristics of myeloproliferative neoplasms (MPNs) patients with NFE2 gene mutations.Methods:Gene targeted sequencing was used to detect NFE2 gene mutation in 723 patients diagnosed with MPNs who were admitted to Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College between April 2021 and June 2023. The association between NFE2 gene mutations and clinical features and molecular characteristics of MPNs patients were retrospectively analyzed.Results:Among 723 patients with MPNs, NFE2 gene mutations were found in 41 cases (5.7%) . NFE2 gene mutations were predominantly frameshift mutations (44.4%) , followed by nonsense mutations (33.3%) . The median number of mutations in patients with NFE2 gene mutations (4 [2,5]) was higher compared to the group without NFE2 gene mutations (2, [1,3]) ( P<0.001) . NFE2 gene mutations frequently co-occurred with mutations in MPL, ATM, PPM1D, and TET1. NFE2 gene mutations were mostly sub-clonal events, with 80.5% occurring after MPNs driver mutations (JAK2, CALR, or MPL) . NFE2 mutations were correlated with older age [median age: 60 (54, 67) years vs 54 (41, 63) years, P=0.001]. Patients with NFE2 gene mutations had a higher incidence of pre-diagnosis thrombosis (39.0% vs 22.0%, P=0.012) and pre-diagnosis arterial thrombosis (36.6% vs 20.4%, P=0.014) . Using a logistic regression analysis model adjusting for age and comorbidities (including chronic infections, malignancies, and autoimmune diseases) , NFE2 gene mutation was identified as an independent determinant of elevated tumor necrosis factor-alpha (TNF-α) ( OR=2.747, 95% CI: 1.143-6.605, P=0.024) , interferon-gamma (IFN-γ) ( OR=2.689, 95% CI: 1.191-6.076, P=0.017) , IL-10 ( OR=3.219, 95% CI: 1.343-7.717, P=0.009) , IL-12P70 ( OR=3.397, 95% CI:1.003-11.508, P=0.049) , IL-17 ( OR=2.284, 95% CI: 1.017-5.127, P=0.045) . In polycythaemia vera (PV) patients with the NFE2 gene mutation, the proportion of those classified as high-risk is notably higher in both the IWG-PV and mutation-enhanced international prognostic systems for PV (MIPSS-PV) (66.7% vs 25.3% for IWG-PV, P=0.033; 22.2% vs 2.0% for MIPSS-PV, P=0.013) . Similarly, for essential thrombocythaemia (ET) patients, the proportion in the high-risk group of the mutation-enhanced international prognostic systems for ET (MIPSS-ET) is significantly higher (15.4% vs 6.1%, P=0.021) . No statistically significant differences were observed in overall survival or cumulative incidence of thrombosis between NFE2-mutated (38 cases) and non-mutated MPNs patients (671 cases, P>0.05) . Conclusion:NFE2 gene mutations in MPNs were predominantly frameshift mutations. NFE2 gene mutations were correlated with older age, elevated levels of several inflammatory factors (including TNF-α、IFN-γ、IL-10、IL-12P70、IL-17) , and they mostly occurred in late-stage of MPNs.
2.Clinical and molecular characteristics of myeloproliferative neoplasms patients with NFE2 gene mutations
Songyang ZHAO ; Bing LI ; Zefeng XU ; Tiejun QIN ; Shiqiang QU ; Lijuan PAN ; Meng JIAO ; Qingyan GAO ; Huijun WANG ; Qi SUN ; Yujiao JIA ; Yiru YAN ; Jingye GONG ; Fuhui LI ; Xin WANG ; Zhijian XIAO
Chinese Journal of Hematology 2025;46(10):943-951
Objective:To explore the clinical features and molecular characteristics of myeloproliferative neoplasms (MPNs) patients with NFE2 gene mutations.Methods:Gene targeted sequencing was used to detect NFE2 gene mutation in 723 patients diagnosed with MPNs who were admitted to Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College between April 2021 and June 2023. The association between NFE2 gene mutations and clinical features and molecular characteristics of MPNs patients were retrospectively analyzed.Results:Among 723 patients with MPNs, NFE2 gene mutations were found in 41 cases (5.7%) . NFE2 gene mutations were predominantly frameshift mutations (44.4%) , followed by nonsense mutations (33.3%) . The median number of mutations in patients with NFE2 gene mutations (4 [2,5]) was higher compared to the group without NFE2 gene mutations (2, [1,3]) ( P<0.001) . NFE2 gene mutations frequently co-occurred with mutations in MPL, ATM, PPM1D, and TET1. NFE2 gene mutations were mostly sub-clonal events, with 80.5% occurring after MPNs driver mutations (JAK2, CALR, or MPL) . NFE2 mutations were correlated with older age [median age: 60 (54, 67) years vs 54 (41, 63) years, P=0.001]. Patients with NFE2 gene mutations had a higher incidence of pre-diagnosis thrombosis (39.0% vs 22.0%, P=0.012) and pre-diagnosis arterial thrombosis (36.6% vs 20.4%, P=0.014) . Using a logistic regression analysis model adjusting for age and comorbidities (including chronic infections, malignancies, and autoimmune diseases) , NFE2 gene mutation was identified as an independent determinant of elevated tumor necrosis factor-alpha (TNF-α) ( OR=2.747, 95% CI: 1.143-6.605, P=0.024) , interferon-gamma (IFN-γ) ( OR=2.689, 95% CI: 1.191-6.076, P=0.017) , IL-10 ( OR=3.219, 95% CI: 1.343-7.717, P=0.009) , IL-12P70 ( OR=3.397, 95% CI:1.003-11.508, P=0.049) , IL-17 ( OR=2.284, 95% CI: 1.017-5.127, P=0.045) . In polycythaemia vera (PV) patients with the NFE2 gene mutation, the proportion of those classified as high-risk is notably higher in both the IWG-PV and mutation-enhanced international prognostic systems for PV (MIPSS-PV) (66.7% vs 25.3% for IWG-PV, P=0.033; 22.2% vs 2.0% for MIPSS-PV, P=0.013) . Similarly, for essential thrombocythaemia (ET) patients, the proportion in the high-risk group of the mutation-enhanced international prognostic systems for ET (MIPSS-ET) is significantly higher (15.4% vs 6.1%, P=0.021) . No statistically significant differences were observed in overall survival or cumulative incidence of thrombosis between NFE2-mutated (38 cases) and non-mutated MPNs patients (671 cases, P>0.05) . Conclusion:NFE2 gene mutations in MPNs were predominantly frameshift mutations. NFE2 gene mutations were correlated with older age, elevated levels of several inflammatory factors (including TNF-α、IFN-γ、IL-10、IL-12P70、IL-17) , and they mostly occurred in late-stage of MPNs.
3.Genetic characteristics and prognostic values of RAS mutations in patients with myelofibrosis
Junying WU ; Bing LI ; Yujiao JIA ; Peihong ZHANG ; Zefeng XU ; Tiejun QIN ; Shiqiang QU ; Lijuan PAN ; Jinqin LIU ; Xin YAN ; Yudi ZHANG ; Jia CHEN ; Jingye GONG ; Zhijian XIAO
Chinese Journal of Hematology 2020;41(12):989-995
Objective:To explore the genetic characteristics, clinical features, and prognostic values of RAS mutations in patients with myelofibrosis (MF) .Methods:We analyzed 112-gene targeted sequencing data from 226 patients who had a diagnosis of either primary myelofibrosis (PMF) or post-polycythemia vera/post-essential thrombocythemia (post-PV MF and post-ET MF) from December 2011 to December 2019. A retrospective analysis of the genetic characteristics, clinical features, and prognosis of RAS mutations was performed.Results:Among 266 patients diagnosed PMF or post-PV/ET MF, RAS mutations were found in 14 (6.2%) cases, including 9 (4.0%) cases of NRAS mutations, 8 (3.5%) cases of KRAS mutations, and 3 (1.3%) cases of both NRAS and KRAS mutations. All of the NRAS mutations were located in codons 12 and 13. The median VAFs of RAS mutations were significantly lower than those of the driver mutations, confirming that they represent sub-clonal events that are acquired during the disease course. SETBP1, SRSF2, and MPL tended to be clustered with RAS mutations. Patients with RAS mutations had a higher number of additional oncogenic mutations (median, 3.36 vs 1.17, P<0.001) . RAS mutations had a statistically significant association with elevated monocyte cell counts ( P=0.003) , lower platelet counts ( P=0.026) , higher bone marrow blasts ( P=0.022) , splenomegaly ( P=0.005) , and very high-risk (VHR) karyotype abnormality percentage ( P=0.031) . In univariate analysis, the OS of patients with NRAS mutations were significantly inferior in the entire MF and PMF cohorts ( P=0.001, P=0.008) . In a multivariate model, NRAS retained an independent negative prognostic factor in PMF. Conclusion:RAS gene mutations were constantly related to elevated monocyte cell counts, lower platelet counts, higher bone marrow blasts, and VHR karyotype abnormality percentage that usually defined high-risk disease and often occurred as sub-clonal events. NRAS mutation is an independent poor prognostic factor in PMF.

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