| Literature DB >> 30455953 |
Runxia Gu1, Xue Yang1, Hui Wei1.
Abstract
For decades, genetic aberrations including chromosome and molecular abnormalities are important diagnostic and prognostic factors in acute myeloid leukemia (AML). ATRA and imatinib have been successfully used in AML and chronic myelogenous leukemia, which proved that targeted therapy by identifying molecular lesions could improve leukemia outcomes. Recent advances in next generation sequencing have revealed molecular landscape of AML, presenting us with many molecular abnormalities. The individual prognostic information derived from a specific mutation could be modified by other molecular lesions. Therefore, the genomic complexity in AML poses a huge challenge to successful translation into more accurate risk stratification and targeted therapy. Herein, a summary of these mutations and targeted therapies are described. We focus on the prognostic information of recent identified molecular lesions and emerging targeted therapy.Entities:
Keywords: Acute myeloid leukemia, Molecular landscape, Targeted therapy
Year: 2018 PMID: 30455953 PMCID: PMC6225571 DOI: 10.1186/s40364-018-0146-7
Source DB: PubMed Journal: Biomark Res ISSN: 2050-7771
therapeutic targeting of individual AML mutations
| Mutation | Therapeutic target | Inhibitors (phase of clinical trials) |
|---|---|---|
| FLT3 | FLT3 | FLT3 tyrosine kinase inhibitors: sorafenib (III), midostaurin (approved), quizartinib (III), crenolanib (III), gilteritinib (III), lestaurtinib (III) |
| IDH1/2 | IDH1 | Ivosidenib (approved), IDH-305(I), BAY1436032(I), |
| IDH2 | Enasidenib (approved), AG-881(I) | |
| BCL-2 | venetoclax (III) | |
| KIT | KIT | TKIs: imatinib, dasatinib (III), ponatinib |
| sorafenib, sunitinib, quizartinib | ||
| TP53 | TP53 | PANDAS |
| BCL-2 | venetoclax | |
| MDM2 | MDM2 inhibitors: RG7112 (I) | |
| Others | decitabine | |
| SF3B1 | SF3b complex | H3B-8800 (I) |
MDM2 mouse double minute 2 homolog, SF3B1 splicing factor 3B subunit 1
Fig. 1Distribution of recurrent AML mutations by functional group. A summary of the most frequent recurrent mutations in AML are listed in this figure. Other mutation as Cohesin complex are not discussed in detail in the manuscript. Mutational frequencies of each subgroup are derived from integration of data from several researches [1, 6, 8]