In rare acute myeloid leukemia patients harboring both RUNX1 and NPM1 mutations, RUNX1 mutations are unusual in structure and present in the germline

Acute myeloid leukemia with concurrent NPM1 and RUNX1 mutations

NPM1 mutation, as a founding genetic event, cooperates with other gene mutations, such as DNMT3A and FLT3, to promote the development of acute myeloid leukemia. NPM1 mutation, however, has been reported to be mutually exclusive with RUNX1 mutation in acute myeloid leukemia cases. In this study, we analyzed mutation panel testing data from a relatively large cohort of rare AML cases with both NPM1 and RUNX1 mutations. We describe the dynamic process of the emergence of these mutations, as well as molecular genetic features and clinical outcome of these patients. We show that concurrence of both mutations in acute myeloid leukemia is associated with adverse prognostic factors, such as concurrent karyotypic abnormalities and FLT3 internal tandem duplication mutation, and poorer overall survival.

The landscape of gene co-expression modules correlating with prognostic genetic abnormalities in AML

Background

The heterogenous cytogenetic and molecular variations were harbored by AML patients, some of which are related with AML pathogenesis and clinical outcomes. We aimed to uncover the intrinsic expression profiles correlating with prognostic genetic abnormalities by WGCNA.

Methods

We downloaded the clinical and expression dataset from BeatAML, TCGA and GEO database. Using R (version 4.0.2) and ‘WGCNA’ package, the co-expression modules correlating with the ELN2017 prognostic markers were identified (R² ≥ 0.4, p < 0.01). ORA detected the enriched pathways for the key co-expression modules. The patients in TCGA cohort were randomly assigned into the training set (50%) and testing set (50%). The LASSO penalized regression analysis was employed to build the prediction model, fitting OS to the expression level of hub genes by ‘glmnet’ package. Then the testing and 2 independent validation sets (GSE12417 and GSE37642) were used to validate the diagnostic utility and accuracy of the model.

Results

A total of 37 gene co-expression modules and 973 hub genes were identified for the BeatAML cohort. We found that 3 modules were significantly correlated with genetic markers (the ‘lightyellow’ module for NPM1 mutation, the ‘saddlebrown’ module for RUNX1 mutation, the ‘lightgreen’ module for TP53 mutation). ORA revealed that the ‘lightyellow’ module was mainly enriched in DNA-binding transcription factor activity and activation of HOX genes. The ‘saddlebrown’ module was enriched in immune response process. And the ‘lightgreen’ module was predominantly enriched in mitosis cell cycle process. The LASSO- regression analysis identified 6 genes (NFKB2, NEK9, HOXA7, APRC5L, FAM30A and LOC105371592) with non-zero coefficients. The risk score generated from the 6-gene model, was associated with ELN2017 risk stratification, relapsed disease, and prior MDS history. The 5-year AUC for the model was 0.822 and 0.824 in the training and testing sets, respectively. Moreover, the diagnostic utility of the model was robust when it was employed in 2 validation sets (5-year AUC 0.743–0.79).

Conclusions

We established the co-expression network signature correlated with the ELN2017 recommended prognostic genetic abnormalities in AML. The 6-gene prediction model for AML survival was developed and validated by multiple datasets.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12967-021-02914-2.

How I diagnose and treat NPM1-mutated AML

Mutations of the nucleophosmin (NPM1) gene, encoding for a nucleolar multifunctional protein, occur in approximately one-third of adult acute myeloid leukemia (AML). NPM1-mutated AML exhibits unique molecular, pathological, and clinical features, which led to its recognition as distinct entity in the 2017 World Health Organization (WHO) classification of myeloid neoplasms. Although WHO criteria for the diagnosis of NPM1-mutated AML are well established, its distinction from other AML entities may be difficult. Moreover, the percentage of blasts required to diagnose NPM1-mutated AML remains controversial. According to the European LeukemiaNet (ELN), determining the mutational status of NPM1 (together with FLT3) is mandatory for accurate relapse-risk assessment. NPM1 mutations are ideal targets for measurable residual disease (MRD) monitoring, since they are AML specific, frequent, very stable at relapse, and do not drive clonal hematopoiesis of undetermined significance. MRD monitoring by quantitative polymerase chain reaction of NPM1-mutant transcripts, possibly combined with ELN genetic-based risk stratification, can guide therapeutic decisions after remission. Furthermore, immunohistochemistry can be very useful in selected situations, such as diagnosis of NPM1-mutated myeloid sarcoma. Herein, we present 4 illustrative cases of NPM1-mutated AML that address important issues surrounding the biology, diagnosis, and therapy of this common form of leukemia.

[RUNX1 gene mutations are associated with adverse prognosis of patients with acute myeloidleukemia]

OBJECTIVE

To explore the rate and distribution of Runt- related transcription factor 1 (RUNX1) gene mutations in patients with acute myeloid leukemia (AML) and the correlation of these mutations with the clinical characteristics and survival outcomes of the patients.

METHODS

The genomic DNA extracted from the bone marrow of 158 patients with newly diagnosed AML for PCR amplification of RUNX1 gene and sequence analysis to identify the mutations. The mutations of ASXL1, DNMT3A, TET2, FLT3, CEBPA, NPM1, IDH2, NRAS and c-KIT genes were also examined to analyze their association with RUNX1 gene mutations.

RESULTS

Among the 158 AML patients, 19 (12.0%) were found to have RUNX1 mutations in A166G (9 cases), A142T (6 cases) and A162L (4 cases). RUNX1 mutations were more frequent in elderly patients (P < 0.01) and in cases of AML subtypes M4 and M5, and were associated with more frequent CD36 and CD7 expression as compared with the wild type. RUNX1 mutations were more likely to occur in patients with normal karyotype or karyotypes associated with moderate prognostic risks, but the difference was not significant (P > 0.05). The patients with RUNX1 mutations had significantly lower complete remission (CR) rate and overall survival (OS) rate than those without the mutations (P < 0.05). RUNX1 mutations were not associated with gender, white blood cell count upon diagnosis, hemoglobin level, platelet count, bone marrow blast cell ratio or lactate dehydrogenase level (P > 0.05).

CONCLUSIONS

RUNX1 gene mutations are associated with an adverse prognosis of patients with AML.

Genetic Testing in the Diagnosis and Biology of Acute Leukemia

OBJECTIVES

The 2017 Workshop of the Society for Hematopathology/European Association for Haematopathology examined the role of molecular genetics in the diagnosis and biology of acute leukemia.

METHODS

Acute leukemias were reviewed in two sessions: "Genetic Testing in Diagnosis of Acute Leukemias" (53 cases) and "Genetics Revealing the Biology of Acute Leukemias" (41 cases).

RESULTS

Cases included acute lymphoblastic leukemia, acute myeloid leukemia, and acute leukemia of ambiguous lineage. Many cases demonstrated genetic alterations of known diagnostic, prognostic, and/or therapeutic significance, while others exhibited alterations that illuminated disease biology. The workshop highlighted the complexity of acute leukemia diagnosis and follow-up, while illustrating advantages and pitfalls of molecular genetic testing.

CONCLUSIONS

Our understanding of the molecular genetics of acute leukemias continues to grow rapidly. Awareness of the potential complexity of genetic architecture and environment is critical and emphasizes the importance of integrating clinical information with morphologic, immunophenotypic, and molecular genetic evaluation.