Transcriptome free energy can serve as a dynamic patient-specific biomarker in acute myeloid leukemia.

ABSTRACT: Acute myeloid leukemia (AML) is prevalent in both adult and pediatric patients. Despite advances in patient categorization, the heterogeneity of AML remains a challenge. Recent studies have explored the use of gene expression data to enhance AML diagnosis and prognosis, however, alternative approaches rooted in physics and chemistry may provide another level of insight into AML transformation. Utilizing publicly available databases, we analyze 884 human and mouse blood and bone marrow samples. We employ a personalized medicine strategy, combining state-transition theory and surprisal analysis, to assess the RNA transcriptome of individual patients. The transcriptome is transformed into physical parameters that represent each sample's steady state and the free energy change (FEC) from that

SUBMITTER: Uechi L 

PROVIDER: S-EPMC10963775 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature