Frontiers in pharmacology · 2025
Identification of an Ara-C resistance-related gene risk score and the role of S100A4 in AML via NR6A1-dependent activation and p53 regulation.
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Wang Li, Huang Aoshuang, Cheng Bingqing, Hu Xiuying, Wang Jishi
Аннотация
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 constructed Ara-C-resistant AML cell lines and validated our findings using qPCR, Western blotting, flow cytometry (FCM), and in vivo experiments.
RESULTS: We discovered that high expression of S100A4 promotes Ara-C resistance in AML. Mechanistically, we identified that the transcription factor NR6A1 directly binds to the S100A4 promoter, enhancing its transcriptional activity. Subsequently, S100A4 upregulates p53 expression, thereby promoting AML cell proliferation and resistance to Ara-C.
DISCUSSION: In summary, our comprehensive investigation of the ARRGRS not only deepens the understanding of Ara-C resistance mechanisms but also provides promising insights for targeting S100A4 to inhibit tumor growth and overcome chemotherapy resistance in AML.
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 constructed Ara-C-resistant AML cell lines and validated our findings using qPCR, Western blotting, flow cytometry (FCM), and in vivo experiments.
RESULTS: We discovered that high expression of S100A4 promotes Ara-C resistance in AML. Mechanistically, we identified that the transcription factor NR6A1 directly binds to the S100A4 promoter, enhancing its transcriptional activity. Subsequently, S100A4 upregulates p53 expression, thereby promoting AML cell proliferation and resistance to Ara-C.
DISCUSSION: In summary, our comprehensive investigation of the ARRGRS not only deepens the understanding of Ara-C resistance mechanisms but also provides promising insights for targeting S100A4 to inhibit tumor growth and overcome chemotherapy resistance in AML.