| Literature DB >> 28245838 |
Juan Feng1,2, Yan Li1, Yujiao Jia1, Qiuyun Fang1, Xiaoyuan Gong1, Xiaobao Dong1, Kun Ru1, Qinghua Li1, Xingli Zhao1, Kaiqi Liu1, Min Wang2, Zheng Tian2, Yannan Jia1,2, Ying Wang1, Dong Lin1, Hui Wei1,2, Kejing Tang2, Yingchang Mi3,4, Jianxiang Wang5,6.
Abstract
Target-specific next-generation sequencing technology was used to analyze 112 genes in adult patients with acute lymphoblastic leukemia (ALL). This sequencing mainly focused on the specific mutational hotspots. Among the 121 patients, 93 patients were B-ALL (76.9%), and 28 patients (23.1%) were T-ALL. Of the 121 patients, 110 (90.9%) harbored at least one mutation. The five most frequently mutated genes in T-ALL are NOTCH1, JAK3, FBXW7, FAT1, and NRAS. In B-ALL, FAT1, SF1, CRLF2, TET2, and PTPN1 have higher incidence of mutations. Gene mutations are different between Ph+ALL and Ph-ALL patients. B-ALL patients with PTPN11 mutation and T-ALL patients with NOTCH1 and/or FBXW7 mutations showed better survival. But B-ALL with JAK1/JAK2 mutations showed worse survival. The results suggest that gene mutations exist in adult ALL patients universally, they are related with prognosis.Entities:
Keywords: Acute lymphoblastic leukemia; Next-generation sequencing; Prognostic significance; Somatic mutations
Mesh:
Year: 2017 PMID: 28245838 PMCID: PMC5331692 DOI: 10.1186/s13045-017-0431-1
Source DB: PubMed Journal: J Hematol Oncol ISSN: 1756-8722 Impact factor: 17.388
Fig. 1Frequency of gene mutations and related signal pathways in ALL subtypes. a Frequency of the top 38 gene mutations in different ALL subtypes, which are shown in indicated colors. b Frequency of gene mutations involved in different functional pathways
Univariate and multivariate analysis for OS and RFS
| OS | RFS | |||
|---|---|---|---|---|
| HR2 |
| HR2 |
| |
| Univarite analysis (mut/all) | ||||
| PTPN11 mut; positive vs negative in full cohort (8/117) | 0.043 | 0.040 | 0.044 | 0.047 |
| In B-ALL (7/92) | 0.042 | 0.041 | 0.042 | 0.047 |
| In Ph−B-ALL (7/54) | 0.035 | 0.030 | 0.037 | 0.047 |
| JAK2 Mut; positive vs negative in full cohort (7/117) | 3.02 | 0.031 | 3.309 | 0.018 |
| In B-ALL (5/92) | 3.033 | 0.061 | 3.145 | 0.051 |
| In Ph−B-ALL (5/54) | 3.728 | 0.035 | 3.780 | 0.031 |
| JAK1 mut; positive vs negative in Ph−B-ALL (4/54) | 6.808 | 0.001 | 6.562 | 0.001 |
| NOTCH1 and/or FBXW7 mut; positive vs negative | ||||
| In T-ALL (12/25) | 0.204 | 0.035 | 0.223 | 0.048 |
| Multivariate analysis | ||||
| PTPN11 mut; positive vs negative in full cohort | 0.043 | 0.052 | 0.044 | 0.056 |
| In B-ALL | 0.042 | 0.063 | 0.042 | 0.056 |
| In Ph−B-ALL | 0.035 | 0.178 | 0.037 | 0.212 |
| JAK2 mut; positive vs negative in full cohort | 3.02 | 0.045 | 3.309 | 0.021 |
| In Ph−B-ALL | 3.728 | 0.049 | 3.780 | 0.044 |
| JAK1 mut; positive vs negative in Ph−B-ALL | 6.808 | 0.004 | 6.562 | 0.005 |
| NOTCH1 and/or FBXW7 mut; positive vs negative | ||||
| In T-ALL | 0.204 | 0.055 | 0.223 | 0.069 |