2020
DOI: 10.1080/16078454.2020.1720102
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Clinical features and prognosis of normal karyotype acute myeloid leukemia pediatric patients with WT1 mutations: an analysis based on TCGA database

Abstract: Objectives: To explore the clinical features and prognosis of normal karyotype acute myeloid leukemia (NK-AML) pediatric patients with WT1 mutations. Methods: The clinical data and prognostic information of 220 NK-AML pediatric patients were selected from target-AML project of The Cancer Genome Atlas (TCGA) database. Survival analyses were performed for NK-AML pediatric patients with different combinations of mutations. Results: We found that 28(12.7%) NK-AML patients harbored WT1 mutations. The positive rate … Show more

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Cited by 9 publications
(20 citation statements)
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References 30 publications
(38 reference statements)
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“…We found longer RFS in patients with WT1 mutation. However, this result is not consistent with previous reports [ 3 , 33 , 36 , 37 ]. This may be due to the fact that previous reports were conducted in other populations or as a result of sampling error.…”
Section: Discussioncontrasting
confidence: 99%
“…We found longer RFS in patients with WT1 mutation. However, this result is not consistent with previous reports [ 3 , 33 , 36 , 37 ]. This may be due to the fact that previous reports were conducted in other populations or as a result of sampling error.…”
Section: Discussioncontrasting
confidence: 99%
“…For example, variants related to drug resistance, such as NT5C2 and MSH6 , in ALL have been linked to thiopurines resistance [ 56 , 57 ]. In the same way, variants are also related to a worse prognosis with higher risk of refractoriness and relapse in AML, such as WT1 [ 58 , 59 , 60 ], or with a favourable outcome related to a better treatment response, such FBXW7 and NOTCH1 in T-ALL [ 61 , 62 , 63 ].…”
Section: Discussionmentioning
confidence: 99%
“…Risk of bias and quality assurance using the QUADAS-2 system of article assessment. Xu et al [24] Darwish et al [25] Xiao et al [26] Wang et al [27] Xu et al [28] Haubner et al [29] Abdellateif et al [30] Vollmer et al [31] Zhu et al [32] Lin et al [33] Tian et al [34] Xu et al [35] Xu et al [24] Darwish et al [25] Xiao et al [26] Wang et al [27] Xu et al [28] Haubner et al [29] Abdellateif et al [30] Vollmer et al [31] Zhu et al [32] Lin et al [33] Tian et al [34] Xu et al [35] Table 3. Risk of bias and quality assurance using the Q…”
Section: Patient Selection Interventionmentioning
confidence: 99%
“…Xu et al [24] Darwish et al [25] Xiao et al [26] Wang et al [27] Xu et al [28] Haubner et al [29] Abdellateif et al [30] Vollmer et al [31] Table 3. Risk of bias and quality assurance using the QUADAS-2 system of art Xu et al [24] Darwish et al [25] Xiao et al [26] Wang et al [27] Xu et al [28] Haubner et al [29] Abdellateif et al [30] Vollmer et al [31] Table 3. Risk of bias and quality assurance using the Q…”
Section: Studymentioning
confidence: 99%
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