Characteristics and prognostic significance of genetic mutations in acute myeloid leukemia based on a targeted next-generation sequencing technique.
Characteristics and prognostic significance of genetic mutations in acute myeloid leukemia based on a targeted next-generation sequencing technique.
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基于靶向二代测序技术的急性髓系白血病基因突变特征及预后意义
作者：
Wang RQ;Chen CJ;Jing Y;Qin JY;Li Y;Chen GF;Zhou W;Li YH;Wang J;Li DW;Zhao HM;Wang BH;Wang LL;Wang H;Wang MZ;Gao XN;Yu L
To explore the characteristics and prognostic significance of genetic mutations in acute myeloid leukemia (AML), we screened the gene mutation profile of 171 previously untreated AML patients using a next‐generation sequencing technique targeting 127 genes with potential prognostic significance. A total of 390 genetic alterations were identified in 149 patients with a frequency of 87.1%. Younger age and high sensitivity to induction chemotherapy were associated with a lower number of mutations. NPM1 mutation was closely related to DNMT3A and FLT3‐internal tandem duplication (FLT3‐ITD) mutations, but mutually exclusive with ASXL1 mutation and CEBPA double mutation. In univariate analysis, ASXL1 or TET2 mutation predicted shorter overall survival (OS) or relapse‐free survival (RFS), DNMT3A, FLT3‐ITD, or RUNX1 mutation predicted a higher likelihood of remission‐induction failure, whereas NRAS mutation or CEBPA double mutation predicted longer OS. Concurrent DNMT3A, FLT3‐ITD, and NPM1 mutations predicted shorter OS. Hypomethylation agents could improve the OS in patients with DNA methylation‐related mutations. According to multivariate analysis, TET2 mutation was recognized as an independent prognostic factors for RFS. In summary, our study provided a detailed pattern of gene mutations and their prognostic relevance in Chinese AML patients based on targeted next‐generation sequencing screening. Genetic mutations can predict favorable or unfavorable prognosis of AML patients. Allo stem cell transplantation can provide benefits for AML patients with bad genetic mutations.
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影响因子：
254.7
作者：
Jemal, Ahmedin;Siegel, Rebecca;Thun, Michael J.
通讯作者：
Thun, Michael J.
影响因子：
4.4
作者：
Ilyas AM;Ahmad S;Faheem M;Naseer MI;Kumosani TA;Al-Qahtani MH;Gari M;Ahmed F
通讯作者：
Ahmed F
影响因子：
20.3
作者：
Metzeler, Klaus H.;Herold, Tobias;Spiekermann, Karsten
通讯作者：
Spiekermann, Karsten
影响因子：
6.1
作者：
Pemmaraju N;Kantarjian H;Andreeff M;Cortes J;Ravandi F
通讯作者：
Ravandi F
影响因子：
11.4
作者：
Kohlmann, A.;Nadarajah, N.;Haferlach, T.
通讯作者：
Haferlach, T.