Predictive value of TP53 fluorescence in situ hybridization in cytogenetic subgroups of acute myeloid leukemia

Unmet Horizons: Assessing the Challenges in the Treatment of TP53-Mutated Acute Myeloid Leukemia

Acute myeloid leukemia (AML) remains a challenging hematologic malignancy. The presence of TP53 mutations in AML poses a therapeutic challenge, considering that standard treatments face significant setbacks in achieving meaningful responses. There is a pressing need for the development of innovative treatment modalities to overcome resistance to conventional treatments attributable to the unique biology of TP53-mutated (TP53mut) AML. This review underscores the role of TP53 mutations in AML, examines the current landscape of treatment options, and highlights novel therapeutic approaches, including targeted therapies, combination regimens, and emerging immunotherapies, as well as agents being explored in preclinical studies according to their potential to address the unique hurdles posed by TP53mut AML.

Prognostic significance of TP53 mutations and single nucleotide polymorphisms in acute myeloid leukemia: a case series and literature review

BACKGROUND

The response to treatment and overall survival (OS) of patients with acute myeloid leukemia (AML) is variable, with a median ranging from 6 months to 11.5 years. TP53 is associated with old age, chemotherapy resistance, and worse OS. Using genetic sequencing, we set out to look at our own experience with AML, and hypothesized that both TP53 mutations and SNPs at codon 72 would mimic the literature by occurring in a minority of patients, and conferring a worse OS.

MATERIALS AND METHODS

We performed a pilot study of randomly selected, newly diagnosed AML patients at Mount Sinai Medical Center, diagnosed from 2005-2008 (n=10). TP53 PCR sequencing was performed using DNA from bone marrow smears. Analysis was accomplished using Mutation Surveyor software with confirmation of the variants using the COSMIC and dbSNP databases.

RESULTS

Fewer than half of the patients harbored TP53 mutations (40%). There was no significant difference in OS based on gender, AML history, risk-stratified karyotype, or TP53 mutation. There were possible trends toward improved survival among patients less than 60 (11 vs 4 months, p=0.09), Hispanics (8 vs 1 months, p=0.11), and those not harboring SNP P72R (8 vs 2 months, p=0.10). There was a significant improvement in survival among patients with better performance status (28 vs 4 months, p=0.01) and those who did not have a complex karyotype (8 vs 1 months, p=0.03). The most commonly observed TP53 mutation was a missense N310K (40%) and the most commonly observed SNP was P72R (100.0%).

CONCLUSIONS

Our study confirms previous reports that poor PS and the presence of a complex karyotype are associated with a decreased OS. In our cohort, TP53 mutations were relatively common, occurring more frequently in male patients with an adverse karyotype. Although there was no significant difference in survival between TP53 mutated and un-mutated patients, there was a possible trend toward worse OS among patients with SNP P72R. Larger studies are needed to validate these findings.

Identification of a 24-gene prognostic signature that improves the European LeukemiaNet risk classification of acute myeloid leukemia: an international collaborative study

PURPOSE

To identify a robust prognostic gene expression signature as an independent predictor of survival of patients with acute myeloid leukemia (AML) and use it to improve established risk classification.

PATIENTS AND METHODS

Four independent sets totaling 499 patients with AML carrying various cytogenetic and molecular abnormalities were used as training sets. Two independent patient sets composed of 825 patients were used as validation sets. Notably, patients from different sets were treated with different protocols, and their gene expression profiles were derived using different microarray platforms. Cox regression and Kaplan-Meier methods were used for survival analyses.

RESULTS

A prognostic signature composed of 24 genes was derived from a meta-analysis of Cox regression values of each gene across the four training sets. In multivariable models, a higher sum value of the 24-gene signature was an independent predictor of shorter overall (OS) and event-free survival (EFS) in both training and validation sets (P < .01). Moreover, this signature could substantially improve the European LeukemiaNet (ELN) risk classification of AML, and patients in three new risk groups classified by the integrated risk classification showed significantly (P < .001) distinct OS and EFS.

CONCLUSION

Despite different treatment protocols applied to patients and use of different microarray platforms for expression profiling, a common prognostic gene signature was identified as an independent predictor of survival of patients with AML. The integrated risk classification incorporating this gene signature provides a better framework for risk stratification and outcome prediction than the ELN classification.

Acute myeloid leukemia: conventional cytogenetics, FISH, and moleculocentric methodologies

Acute myeloid leukemia (AML) is a complex group of hematologic neoplasms characterized by distinctive morphologic, immunophenotypic, and genetic abnormalities. However, it has become evident that genetic aberrations are central to the genesis of AML and have assumed an increasingly relevant role in the classification of AML. Here we discuss hallmark recurrent translocations that define specific World Health Organization (WHO) entities and other frequently encountered genetic aberrations that do not (yet) define specific entities. Additionally, we discuss emerging technologies and their application to the discovery of new abnormalities and to their potential role in the future diagnosis and classification of AML.