Abstract 61P
Background
Infant acute myeloid leukemia (AML), particularly in infants under 2 years old, presents unique clinical and biological characteristics, emphasizing the need for age-specific risk assessment and therapeutic approaches.
Methods
A retrospective study was conducted to investigate the clinical and biological features of children diagnosed with AML using data from four pediatric clinical trials by The Children's Oncology Group (COG). By comparing cytogenetic and molecular markers as well as treatment outcomes across different age groups, the study aimed to identify age-specific prognostic markers for infant AML, considering the potential for refining the current risk-stratification of infant AML.
Results
We identified infant AML patients as a clinical, molecular and prognosis distinct subgroup. The gene fusions (KMT2A::MLLT1 and KAT6A::r) independently and specifically predicted outcomes in infant AML and, when combined with BM (Bone marrow leukemic blast), PB (Peripheral blasts), MRD (Measurable residual disease), contributed to a superior three-tier risk model surpassing AML stratification systems currently employed in clinical trials, as well as the lncRNA expression and leukemic stem cell (LSC)-based models.
Conclusions
In conclusion, infant AML exhibits heterogeneity at clinical, molecular, and prognostic levels. The newly proposed system, which integrates simple clinical and gene-fusion features, holds promise as a valuable tool in informing clinical decision-making and guiding treatment strategies in routine clinical practice.
Editorial acknowledgement
Clinical trial identification
Legal entity responsible for the study
The author.
Funding
National Natural Science Foundation of China (Grant No. 81911530169).
Disclosure
The author has declared no conflicts of interest.
Resources from the same session
35P - Whole exome sequencing reveals high frequency of Notch pathway mutations in Indian breast cancer cases
Presenter: Harsh Goel
Session: Cocktail & Poster Display session
Resources:
Abstract
36P - Abacavir potentiates the efficacy of doxorubicin in breast cancer cells via KDM5B Inhibition
Presenter: Anmi Jose
Session: Cocktail & Poster Display session
Resources:
Abstract
37P - Identification of immune profile in advanced cutaneous squamous cell carcinoma predicting immunotherapy response
Presenter: Alfonso Esposito
Session: Cocktail & Poster Display session
Resources:
Abstract
39P - MicroRNA as a promising molecular biomarker for liquid biopsy in breast cancer
Presenter: Giorgia Vesca
Session: Cocktail & Poster Display session
Resources:
Abstract
40P - Patient-based models to study infiltration heterogeneity in gliomas
Presenter: Ivana Manini
Session: Cocktail & Poster Display session
Resources:
Abstract
42P - HER2 aberration as a potential predictive biomarker for extrapulmonary small cell neuroendocrine carcinoma
Presenter: Jiri Dvorak
Session: Cocktail & Poster Display session
Resources:
Abstract
43P - Assessment of methylation-specific genetic markers for reliable colorectal cancer detection and their potential in liquid biopsy applications
Presenter: Jiri Dvorak
Session: Cocktail & Poster Display session
Resources:
Abstract
44P - Calculated numerical karyotype with ultra low-coverage whole genome sequencing undercovers recurrent chromosomal aberrations in resectable colorectal cancer
Presenter: Thomas Samer Tarawneh
Session: Cocktail & Poster Display session
Resources:
Abstract
46P - Promising epi(genetic) biomarkers for ovarian tumor prognosis
Presenter: Ieva Vaicekauskaitė
Session: Cocktail & Poster Display session
Resources:
Abstract
47P - Integration of miRNA profiles and p53 mutations as biomarkers for predicting sensitivity and resistance to FGFR inhibitor CPL110 in cancer therapy
Presenter: Monika Skupinska
Session: Cocktail & Poster Display session
Resources:
Abstract