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108 例骨髓增殖性肿瘤患者基因突变与临床特征分析

OBJECTIVE: To analyze the genetic mutations and clinical features of the subtypes of classical BCR-ABL-negative myeloproliferative neoplasm (MPN). METHODS: Mutations of 108 newly diagnosed BCR-ABL-negative MPN patients [including 55 patients with essential thrombocytopenia (ET), 24 with polycythemia...

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Formato: Online Artículo Texto
Lenguaje:English
Publicado: Editorial office of Chinese Journal of Hematology 2020
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7449771/
https://www.ncbi.nlm.nih.gov/pubmed/32810965
http://dx.doi.org/10.3760/cma.j.issn.0253-2727.2020.07.008
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description OBJECTIVE: To analyze the genetic mutations and clinical features of the subtypes of classical BCR-ABL-negative myeloproliferative neoplasm (MPN). METHODS: Mutations of 108 newly diagnosed BCR-ABL-negative MPN patients [including 55 patients with essential thrombocytopenia (ET), 24 with polycythemia vera (PV), and 29 with primary myelofibrosis (PMF)] were identified using next-generation sequencing with 127-gene panel, and the relationship between gene mutations and clinical features were analyzed. RESULTS: Total 211 mutations in 32 genes were detected in 100 MPN patients (92.59%), per capita carried (1.96±1.32) mutations. 85.19% (92/108) patients carried the driver gene (JAK2, CALR, MPL) mutations, 69.56% (64/92) of these patients carried at least 1 additional gene mutation. In descending order of mutation frequency, the highest frequency was for activation signaling pathway genes (42.2%, 89/211), methylation genes (17.6%, 36/211), and chromatin-modified genes (16.1%, 34/211). There was a significant difference in the number of mutations in the activation signaling pathway genes, epigenetic regulatory genes, spliceosomes, and RNA metabolism genes among the three MPN subgroups. The average number of additional mutations in PMF patients was higher than that in ET and PV patients (1.69±1.39, 0.67±0.70, 0.87±1.22, χ(2)=13.445, P=0.001). MPN-SAF-TSS (MPN 10 score) (P=0.006) and myelofibrosis level (P=0.015) in patients with ≥3 mutant genes were higher and the HGB level (P=0.002) was lower than in those with<3 mutations. Twenty-six patients (24.1%) carried high-risk mutation (HMR), and patients with HMR had lower PLT (P=0.017), HGB levels (P<0.001), and higher myelofibrosis level (P=0.010) and MPN10 score (P<0.001). The frequency of ASXL1 mutations was higher in PMF than in PV patients (34.5% vs. 4.2%, P=0.005). PMF patients with ASXL1 had lower levels of PLT and HGB (P=0.029 and 0.019). CONCLUSION: 69.56% of MPN patients carry at least one additional mutation, and 24.1% patients had HMR. Each subgroup had different mutation patterns. PMF patients had a higher average number of additional gene mutations, especially a higher frequency of ASXL1 mutation; PLT and HGB levels were lower in ASXL1 mutation PMF patients.
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spelling pubmed-74497712020-08-27 108 例骨髓增殖性肿瘤患者基因突变与临床特征分析 Zhonghua Xue Ye Xue Za Zhi 论著 OBJECTIVE: To analyze the genetic mutations and clinical features of the subtypes of classical BCR-ABL-negative myeloproliferative neoplasm (MPN). METHODS: Mutations of 108 newly diagnosed BCR-ABL-negative MPN patients [including 55 patients with essential thrombocytopenia (ET), 24 with polycythemia vera (PV), and 29 with primary myelofibrosis (PMF)] were identified using next-generation sequencing with 127-gene panel, and the relationship between gene mutations and clinical features were analyzed. RESULTS: Total 211 mutations in 32 genes were detected in 100 MPN patients (92.59%), per capita carried (1.96±1.32) mutations. 85.19% (92/108) patients carried the driver gene (JAK2, CALR, MPL) mutations, 69.56% (64/92) of these patients carried at least 1 additional gene mutation. In descending order of mutation frequency, the highest frequency was for activation signaling pathway genes (42.2%, 89/211), methylation genes (17.6%, 36/211), and chromatin-modified genes (16.1%, 34/211). There was a significant difference in the number of mutations in the activation signaling pathway genes, epigenetic regulatory genes, spliceosomes, and RNA metabolism genes among the three MPN subgroups. The average number of additional mutations in PMF patients was higher than that in ET and PV patients (1.69±1.39, 0.67±0.70, 0.87±1.22, χ(2)=13.445, P=0.001). MPN-SAF-TSS (MPN 10 score) (P=0.006) and myelofibrosis level (P=0.015) in patients with ≥3 mutant genes were higher and the HGB level (P=0.002) was lower than in those with<3 mutations. Twenty-six patients (24.1%) carried high-risk mutation (HMR), and patients with HMR had lower PLT (P=0.017), HGB levels (P<0.001), and higher myelofibrosis level (P=0.010) and MPN10 score (P<0.001). The frequency of ASXL1 mutations was higher in PMF than in PV patients (34.5% vs. 4.2%, P=0.005). PMF patients with ASXL1 had lower levels of PLT and HGB (P=0.029 and 0.019). CONCLUSION: 69.56% of MPN patients carry at least one additional mutation, and 24.1% patients had HMR. Each subgroup had different mutation patterns. PMF patients had a higher average number of additional gene mutations, especially a higher frequency of ASXL1 mutation; PLT and HGB levels were lower in ASXL1 mutation PMF patients. Editorial office of Chinese Journal of Hematology 2020-07 /pmc/articles/PMC7449771/ /pubmed/32810965 http://dx.doi.org/10.3760/cma.j.issn.0253-2727.2020.07.008 Text en 2020年版权归中华医学会所有 http://creativecommons.org/licenses/by-nc-sa/3.0/ This work is licensed under a Creative Commons Attribution 3.0 License (CC-BY-NC). The Copyright own by Publisher. Without authorization, shall not reprint, except this publication article, shall not use this publication format design. Unless otherwise stated, all articles published in this journal do not represent the views of the Chinese Medical Association or the editorial board of this journal.
spellingShingle 论著
108 例骨髓增殖性肿瘤患者基因突变与临床特征分析
title 108 例骨髓增殖性肿瘤患者基因突变与临床特征分析
title_full 108 例骨髓增殖性肿瘤患者基因突变与临床特征分析
title_fullStr 108 例骨髓增殖性肿瘤患者基因突变与临床特征分析
title_full_unstemmed 108 例骨髓增殖性肿瘤患者基因突变与临床特征分析
title_short 108 例骨髓增殖性肿瘤患者基因突变与临床特征分析
title_sort 108 例骨髓增殖性肿瘤患者基因突变与临床特征分析
topic 论著
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7449771/
https://www.ncbi.nlm.nih.gov/pubmed/32810965
http://dx.doi.org/10.3760/cma.j.issn.0253-2727.2020.07.008
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