Molecular Classification and Overcoming Therapy Resistance for Acute Myeloid Leukemia with Adverse Genetic Factors.
Daisuke IkedaSung-Gi ChiSatoshi UchiyamaHirotaka NakamuraYong-Mei GuoNobuhiko YamauchiJunichiro YudaYosuke MinamiPublished in: International journal of molecular sciences (2022)
The European LeukemiaNet (ELN) criteria define the adverse genetic factors of acute myeloid leukemia (AML). AML with adverse genetic factors uniformly shows resistance to standard chemotherapy and is associated with poor prognosis. Here, we focus on the biological background and real-world etiology of these adverse genetic factors and then describe a strategy to overcome the clinical disadvantages in terms of targeting pivotal molecular mechanisms. Different adverse genetic factors often rely on common pathways. KMT2A rearrangement, DEK-NUP214 fusion, and NPM1 mutation are associated with the upregulation of HOX genes. The dominant tyrosine kinase activity of the mutant FLT3 or BCR-ABL1 fusion proteins is transduced by the AKT-mTOR, MAPK-ERK, and STAT5 pathways. Concurrent mutations of ASXL1 and RUNX1 are associated with activated AKT. Both TP53 mutation and mis-expressed MECOM are related to impaired apoptosis. Clinical data suggest that adverse genetic factors can be found in at least one in eight AML patients and appear to accumulate in relapsed/refractory cases. TP53 mutation is associated with particularly poor prognosis. Molecular-targeted therapies focusing on specific genomic abnormalities, such as FLT3 , KMT2A , and TP53 , have been developed and have demonstrated promising results.
Keyphrases
- acute myeloid leukemia
- poor prognosis
- tyrosine kinase
- genome wide
- signaling pathway
- allogeneic hematopoietic stem cell transplantation
- long non coding rna
- cell proliferation
- copy number
- end stage renal disease
- acute lymphoblastic leukemia
- emergency department
- gene expression
- epidermal growth factor receptor
- dna methylation
- transcription factor
- adverse drug
- chronic kidney disease
- squamous cell carcinoma
- ejection fraction
- multiple myeloma
- data analysis
- peritoneal dialysis
- deep learning
- chronic myeloid leukemia
- diffuse large b cell lymphoma
- endoplasmic reticulum stress
- rectal cancer
- replacement therapy
- prognostic factors
- hodgkin lymphoma
- wild type