| Literature DB >> 32690020 |
Hsin-An Hou1, Hwei-Fang Tien2.
Abstract
Acute myeloid leukemia (AML) is a heterogeneous hematologic malignancy in terms of clinical features, underlying pathogenesis and treatment outcomes. Recent advances in genomic techniques have unraveled the molecular complexity of AML leukemogenesis, which in turn have led to refinement of risk stratification and personalized therapeutic strategies for patients with AML. Incorporation of prognostic and druggable genetic biomarkers into clinical practice to guide patient-specific treatment is going to be the mainstay in AML therapeutics. Since 2017 there has been an explosion of novel treatment options to tailor personalized therapy for AML patients. In the past 3 years, the U.S. Food and Drug Administration approved a total of eight drugs for the treatment of AML; most specifically target certain gene mutations, biological pathways, or surface antigen. These novel agents are especially beneficial for older patients or those with comorbidities, in whom the treatment choice is limited and the clinical outcome is very poor. How to balance efficacy and toxicity to further improve patient outcome is clinically relevant. In this review article, we give an overview of the most relevant genetic markers in AML with special focus on the therapeutic implications of these aberrations.Entities:
Keywords: Acute myeloid leukemia; Genetic markers; Risk stratification; Therapeutics
Mesh:
Substances:
Year: 2020 PMID: 32690020 PMCID: PMC7372828 DOI: 10.1186/s12929-020-00674-7
Source DB: PubMed Journal: J Biomed Sci ISSN: 1021-7770 Impact factor: 8.410
The 2016 WHO classification of acute myeloid leukemia (AML) and related neoplasms
| AML with t(8;21)(q22;q22.1);RUNX1-RUNX1T1 | |
| AML with inv. (16)(p13.1q22) or t(16;16)(p13.1;q22);CBFB-MYH11 | |
| APL with PML-RARA | |
| AML with t(9;11)(p21.3;q23.3);MLLT3-KMT2A | |
| AML with t(6;9)(p23;q34.1);DEK-NUP214 | |
| AML with inv. (3)(q21.3q26.2) or t(3;3)(q21.3;q26.2); GATA2, MECOM | |
| AML (megakaryoblastic) with t(1;22)(p13.3;q13.3);RBM15-MKL1 | |
| Provisional entity: AML with BCR-ABL1 | |
| AML with mutated NPM1 | |
| AML with biallelic mutations of CEBPA | |
| Provisional entity: AML with mutated RUNX1 | |
| AML with minimal differentiation | |
| AML without maturation | |
| AML with maturation | |
| Acute myelomonocytic leukemia | |
| Acute monoblastic/monocytic leukemia | |
| Pure erythroid leukemia | |
| Acute megakaryoblastic leukemia | |
| Acute basophilic leukemia | |
| Acute panmyelosis with myelofibrosis | |
| Transient abnormal myelopoiesis (TAM) | |
| Myeloid leukemia associated with Down syndrome |
APL, acute promyelocytic leukemia; NOS, not otherwise specified
Functional categories of genes that are commonly mutated in acute myeloid leukemia (AML)
| Functional category | Gene members | Role in AML Leukemogenesis |
|---|---|---|
| Myeloid transcription-factor genes | Transcription factor fusions by chromosomal rearrangements, such as t(8;21)(q22;q22); | Transcriptional deregulation and impaired hematopoietic differentiation. |
| Nucleophosmin ( | Aberrant cytoplasmic localization of NPM1 and its interacting proteins | |
| Tumor suppressor genes | Transcriptional deregulation and impaired degradation via the negative regulator (MDM2 and PTEN oncogenes) | |
| Signaling genes | Proliferative advantage through the RAS-RAF, JAK-STAT, and PI3K-AKT signaling pathways | |
| DNA methylation | Deregulation of DNA methylation and oncometabolite production | |
| Chromatin modifier | Deregulation of chromatin modification and impairment of methyltransferases function | |
| Cohesin complex | Impairment of accurate chromosome segregation and transcriptional regulation | |
| Splicing factors | Deregulated RNA processing and aberrant splicing patterns |
Fig. 1Common molecular gene mutations and their incidences in 763 AML patients in Taiwan. The data are derived from the mutation analyses of 763 patients diagnosed and treated at the National Taiwan University Hospital
Fig. 2The Circos plots depicting the relative frequency and pairwise co-occurrence of genetic alterations in 500 AML patients in Taiwan. The length of the arc corresponds to the frequency of the first gene mutation, and the width of the ribbon corresponds to the proportion of the second gene mutation. The data are derived from the mutation analyses of 500 patients diagnosed and treated at the National Taiwan University Hospital
Risk stratification of AML according To 2017 ELN recommendations [24]
| Risk profiles | Subgroups |
|---|---|
| t(8;21)(q22;q22.1); | |
| inv (16)(p13.1q22) or t(16;16)(p13.1;q22); | |
| Mutated | |
| Mutated | |
| Biallelic mutated | |
| Mutated | |
| Wild-type | |
| Wild-type | |
| t(9;11)(p21.3;q23.3); | |
| Cytogenetic abnormalities not classified | |
| t(6;9)(p23;q34.1); | |
| t(v;11q23.3); | |
| t(9;22)(q34.1;q11.2); | |
| inv (3)(q21.3q26.2) or t(3;3)(q21.3;q26.2); | |
| Complex karyotype, monosomal karyotype | |
| -5 or del(5q); −7; −17/abn(17p) | |
| Wild-type | |
| Mutated | |
| Mutated | |
| Mutated |
Low, low allelic ratio (< 0.5); high, high allelic ratio (≥0.5)
Fig. 3Survival curves of 763 AML patients in Taiwan stratified according to the 2017 ELN risk stratification. The data are derived from the mutation analyses of 763 patients diagnosed and treated at the National Taiwan University Hospital