-
摘要: 目的:探讨原发性骨髓纤维化(PMF)患者25种髓系肿瘤基因的表达及其与临床特征、预后的关系。方法:收集2013年4月—2019年2月连云港市第二人民医院和江苏省人民医院60例初诊PMF患者的临床资料,回顾性分析PMF患者髓系肿瘤基因二代测序结果与年龄、性别、血液学指标、生化指标、预后的关系。结果:60例初诊PMF患者中,43例(71.7%)PMF患者检测到突变,共累及18个突变基因,突变频率较高的基因分别为JAK2(27例,45%)、TET2(17例,28%)、ASXL1(9例,15%)、CALR(5例,8%)、U2AF1(5例,8%),其中三阴组(JAK2-CALR-MPL-)29例(48%)、CALR-ASXL1+6例(10%),17例(28%)未检测到任何突变。JAK2突变组白细胞计数(t=2.492,P=0.016)和血红蛋白含量(t=3.247,P=0.002)高于三阴组,CALR突变组血红蛋白含量(t=2.668,P=0.011)和血小板计数(t=2.731,P=0.009)高于三阴组。单因素生存分析显示,ASXL1突变组(P=0.050)、三阴组(P=0.001 8)、CALR-/ASXL1+组(P=0.000 9)、男性(P=0.006)生存时间差;Cox多因素分析显示,ASXL1突变(P=0.022)、三阴组(P=0.001)、CALR-/ASXL1+(P=0.028)、男性(P=0.050)是影响PMF生存的不良危险因素。结论:PMF患者基因突变率较高;JAK2、CALR基因突变与血液学特征有关;男性、ASXL1突变、三阴突变、CALR-/ASXL1+突变因素与患者不良预后有关。Abstract: Objective: To investigate the relationship between the expression of 25 myeloid tumor genes in patients with primary myelofibrosis(PMF) and their clinical characteristics and prognosis.Methods: We retrospectively extracted the data on 60 patients with confirmed PMF from April 2013 to February 2019 in Lianyungang Second People's Hospital, Bengbu Medical College and Jiangsu Province Hospital. Clinical and laboratory characteristics were obtained from electronic medical records. The correlation between second-generation sequencing results of myeloid tumor genes and hematological parameters were analyzed.Results: Mutations were detected in 43 patients(71.7%) with PMF, involving a total of 18 mutated genes. The genes with high mutation frequency were JAK2(27/60, 45%), TET2(17/60, 28%), ASXL1(9/60, 15%), and CALR(5/60, 8%), U2 AF1(5/60, 8%). There were 29 cases(29/60, 48%) in triple-negative primary myelofibrosis group(JAK2-/CALR-/MPL-), 6 cases(6/60, 10%) in CALR-/ASXL1+group, 17 cases(17/60, 28%) did not detect any mutation. The white blood cell count(t=2.492, P=0.016) and hemoglobin content(t=3.247, P=0.002) in the JAK2 mutation group were higher than those in the triple-negative primary myelofibrosis group, while the hemoglobin content(t=2.668, P=0.011) and platelet count(t=2.731, P=0.009) in the CALR mutation group were higher than those in the triple-negative primary myelofibrosis group. Univariate survival analysis showed that ASXL1 mutation group(P=0.050) and triple-negative primary myelofibrosis group(P=0.001 8), CALR-/ASXL1+group(P=0.000 9) and male group(P=0.006) had survival time difference. Cox multivariate analysis showed that ASXL1 mutation(P=0.022) and triple-negative primary myelofibrosis group(P=0.001) and CALR-/ASXL1+mutation(P=0.028) and males group(P=0.050) were adverse risk factors for PMF survival.Conclusion: PMF patients have a higher mutation rate. Mutations in JAK2 and CALR genes are associated with hematological characteristics. Male, ASXL1 mutation, triple negative mutation, CALR-/ASXL1+mutation are associated with poor prognosis in patients with PMF.
-
Key words:
- primary myelofibrosis /
- gene mutation /
- clinical features /
- prognosis
-
[1] Guglielmelli P,Lasho TL,Rotunno G,et al.The number of prognostically detrimental mutations and prognosis in primary myelofibrosis:an international study of 797 patients[J].Leukemia,2014,28(9):1804-1810.
[2] Tefferi A,Rumi E,Finazzi G,et al.Survival and prognosis among 1545 patients with contemporary polycythemia vera:an international study[J].Leukemia,2013,27(9):1874-1881.
[3] Tefferi A,Lasho TL,Finke CM,et al.CALR vs JAK2 vs MPL-mutated or triple-negative myelofibrosis:clinical,cytogenetic and molecular comparisons[J].Leukemia,2014,28(7):1472-1477.
[4] Tefferi A,Nicolosi M,Mudireddy M,et al.Driver mutations and prognosis in primary myelofibrosis:Mayo-Careggi MPN alliance study of 1,095 patients[J].Am J Hematol,2018,93(3):348-355.
[5] 宁海玲,张秀莲.突变基因JAK2、CALR对原发性骨髓纤维化患者血栓发生率、生存及疾病转归影响的meta分析[J].临床血液学杂志,2019,32(5):353-357.
[6] Scott BL,Gooley TA,Sorror ML,et al.The Dynamic International Prognostic Scoring System for myelofibrosis predicts outcomes after hematopoietic cell transplantation[J].Blood,2012,119(11):2657-2664.
[7] Vannucchi AM,Lasho TL,Guglielmelli P,et al.Mutations and prognosis in primary myelofibrosis[J].Leukemia,2013,27(9):1861-1869.
[8] Pardanani A,Gotlib JR,Jamieson C,et al.Safety and efficacy of TG101348,a selective JAK2 inhibitor,in myelofibrosis[J].J Clin Oncol,2011,29(7):789-796.
[9] Harrison C,Kiladjian JJ,Al-Ali HK,et al.JAK inhibition with ruxolitinib versus best available therapy for myelofibrosis[J].N Engl J Med,2012,366(9):787-798.
[10] 中华医学会血液学分会白血病淋巴瘤学组.原发性骨髓纤维化诊断与治疗中国指南(2019年版)[J].中华血液学杂志,2019,40(1):1-7.
[11] Rumi E,Pietra D,Pascutto C,et al.Clinical effect of driver mutations of JAK2,CALR,or MPL in primary myelofibrosis[J].Blood,2014,124(7):1062-1069.
[12] Takenaka K.Clinical application of gene mutation information in myeloproliferative neoplasms[J].Rinsho Ketsueki,2019,60(6):610-618.
[13] 尹春荣,翁巍,侯海珠,等.JAK2V617F基因突变与BCR/ABL阴性骨髓增殖性肿瘤的临床相关性分析[J].中华全科医学,2016,14(8):1299-1301,1337.
[14] Gill H,Ip HW,Yim R,et al.Next-generation sequencing with a 54-gene panel identified unique mutational profile and prognostic markers in Chinese patients with myelofibrosis[J].Ann Hematol,2019,98(4):869-879.
[15] Guglielmelli P,Lasho TL,Rotunno G,et al.MIPSS70:Mutation-Enhanced International Prognostic Score System for Transplantation-Age Patients With Primary Myelofibrosis[J].J Clin Oncol,2018,36(4):310-318.
[16] Tefferi A,Guglielmelli P,Pardanani A,et al.Myelofibrosis Treatment Algorithm 2018[J].Blood Cancer J,2018,8(8):72.
[17] Nischal S,Bha ttacharyya S,Christopeit M,et al.Methylome profiling reveals distinct alterations in phenotypic and mutational subgroups of myeloproliferative neoplasms[J].Cancer Res,2013,73(3):1076-1085.
[18] Alvarez Argote J,Dasanu CA.ASXL1 mutations in myeloid neoplasms:pathogenetic considerations,impact on clinical outcomes and survival[J].Curr Med Res Opin,2018,34(5):757-763.
计量
- 文章访问数: 228
- PDF下载数: 143
- 施引文献: 0