Related Experiment Video
Updated: Jan 22, 2026

Flow Cytometry to Estimate Leukemia Stem Cells in Primary Acute Myeloid Leukemia and in Patient-derived-xenografts, at Diagnosis and Follow Up
Published on: March 26, 2018
[Characterization of mutational pattern of patients with core-binding factor acute myeloid leukemia]
Jinyuan He1, Hongying Chao, Min Zhou
1The Affiliated Changzhou No.2 People's Hospital of Nanjing Medical University, Changzhou, Jiangsu 213003, China. chaohy2006@126.com.
Insights
Core-binding factor acute myeloid leukemia (CBF-AML) exhibits a distinct mutational profile compared to cytogenetically normal AML. Specific gene mutations and pathway aberrations differ significantly between these AML subtypes, impacting clinical outcomes.
Area of Science:
- Hematology
- Oncology
- Genetics
Background:
- Acute myeloid leukemia (AML) is a heterogeneous disease with distinct genetic subtypes.
- Core-binding factor AML (CBF-AML) and cytogenetically normal AML (CN-AML) represent two major AML classifications.
- Understanding their unique mutational landscapes is crucial for targeted therapies.
Purpose of the Study:
- To comprehensively characterize the mutational profile of CBF-AML patients.
- To compare the genetic alterations in CBF-AML with those in CN-AML.
- To identify distinct molecular pathways prevalent in each AML subtype.
Main Methods:
- Analysis of 81 AML patients, including 36 CBF-AML and 45 CN-AML cases.
- Simultaneous detection of mutations in 18 key genes (e.g., FLT3, NPM1, c-KIT, TET2, CEBPA) using PCR and Sanger sequencing.
- Identification of AML1-ETO and CBFβ-MYH11 fusion genes.
Main Results:
- Mutations were detected in 83.9% of patients, with double CEBPA, NPM1, and c-KIT mutations being most frequent.
- CBF-AML showed a higher prevalence of NRAS, c-KIT, and KRAS mutations compared to CN-AML.
- CN-AML exhibited more frequent mutations in NPM1, FLT3-ITD, DNMT3A, IDH1, and CEBPA double mutations.
- Distinct pathway enrichments were observed: DNA methylation and NPM1/transcription in CN-AML, and tyrosine kinase/RAS signaling in CBF-AML.
Conclusions:
- CBF-AML and CN-AML possess significantly different genomic landscapes.
- The interplay between fusion genes and specific mutations likely influences patient prognosis and clinical presentation.
- These findings highlight the importance of subtype-specific molecular profiling in AML management.
Objective:
To characterize the mutational profile of patients with core-binding factor acute myeloid leukemia (CBF-AML).
Methods:
A total of 81 acute myeloid leukemia patients were recruited, which included 36 cases of CBF-AML and 45 cases of cytogenetically normal acute myeloid leukemia (CN-AML) . Mutations of FLT3-ITD, FLT3-TKD, NPM1, c-KIT, NRAS, KRAS, TET2, IDH1/2, RUNX1, DNMT3A, GATA2, ASjXL1, TP53, PTPN11, JAK2V617F, SETBP1 and CEBPA genes were simultaneously detected by DNA-based PCR and Sanger sequencing.
Results:
Over all, mutations were detected in 68 patients (83.9%), with the most common ones including double CEBPA mutations (n=17), followed by NPM1 (n=15), c-KIT (n=11), NRAS (n=10), TET2 (n=9), FLT3-TKD (n=9), FLT3-ITD (n=8), IDH1 (n=7), RUNX1 (n=7), KRAS (n=7), DNMT3A (n=6), IDH2 (n=4), and GATA2 (n=4) mutations. AML1-ETO and CBFβ-MYH11 fusions were present in 21 and 15 patients, respectively. Coexistence of ≥2 mutations was more common in CN-AML comparing with CBF-AML. The mutation rate of NPM1, FLT3-ITD, DNMT3A, IDH1 and CEBPA double mutations were higher in patients with CN-AML. NRAS, c-KIT and KRAS mutations were identified more frequently in patients with CBF-AML (P<0.05). Based on the function, aberration of genes involved in DNA methylation, NPM1 proteins and transcription predominated in CN-AML, while tyrosine kinase receptor signaling and RAS pathways have predominated in CBF-AML.
Conclusion:
The genomic landscape of CBF-AML patients has differed from that of CN-AML patients. Synergy of fusion genes with particular mutations may impact the clinical phenotype and prognosis of patients.
Related Concept Videos
Factors Affecting Protein-Drug Binding: Patient-Related Factors
Age stands as a key determinant in protein-drug binding. Neonates, characterized by low albumin content, experience heightened concentrations of unbound drugs such as phenytoin and...
Factors Affecting Protein-Drug Binding: Drug-Related Factors
One crucial factor in drug-protein binding is the drug's lipophilicity or its affinity for fat. More lipophilic drugs tend to have higher binding extents. For example, highly lipophilic drugs like cloxacillin exhibit substantial protein binding, with as much as 95% of the drug binding to proteins. In...
Factors Affecting Protein-Drug Binding: Protein-Related Factors
The physicochemical properties of a drug play a significant role in its ability to bind to proteins. Lipophilic drugs, which dissolve in fats, oils, and lipids, can be...
Conserved Binding Sites
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally...
Mutations
The Nucleosome Core Particle
The paradox
Nucleosomes, paradoxically, perform two opposite functions simultaneously. On the one hand, their main responsibility is to protect the delicate DNA strands from physical damage and help achieve a higher compaction ratio. While on the other hand, they must allow polymerase enzymes to access DNA...

