Unknown

Dataset Information

Identification of an Ara-C resistance-related gene risk score and the role of S100A4 in AML via NR6A1-dependent activation and p53 regulation.


ABSTRACT:

Indroduction

Ara-C (cytarabine) resistance remains a significant contributor to the poor clinical outcomes in adult acute myeloid leukemia (AML). However, predicting Ara-C resistance and developing effective targeted therapies remain challenging.

Methods

In this study, we integrated transcriptional data from Ara-C-resistant cell lines in the GEO database and the TCGA-LAML cohort to establish an Ara-C resistancerelated gene risk score (ARRGRS). Kaplan-Meier survival analysis revealed that AML patients with high ARRGRS had significantly worse prognosis compared to those with low ARRGRS in both cohorts. Additionally, ARRGRS effectively predicted chemotherapy response in AML patients across both cohorts. To further elucidate the mechanisms underlying Ara-C resistance, we constru

SUBMITTER: Wang L 

PROVIDER: S-EPMC12202665 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature