Synergistic interactions of cytarabine-adavosertib in leukemic cell lines proliferation and metabolomic endpoints

Abstract

Drug synergy allows reduced dosing, side effects and tolerance. Optimization of drug synergy chemotherapy is fundamental in acute lymphocytic leukemia and other cancers. This study aimed to analyze the pharmacodynamic synergy between the anti-metabolite cytarabine and WEE1 inhibitor adavosertib on acute leukemia cell lines CCRF-CEM and Jurkat. In both cell lines analysis of concentration-inhibition curves of adavosertib-cytarabine combinations and synergy matrixes supported mutually synergistic drug interactions. Overall mean ( ± SD) synergy scores were higher in Jurkat than CCRF-CEM: Jurkat, ZIP 22.51 ± 1.1, Bliss 22.49 ± 1.1, HSA 23.44 ± 1.0, Loewe 14.16 ± 1.2; and, CCRF-CEM, ZIP 9.17 ± 1.9, Bliss 8.13 ± 2.1, HSA 11.48 ± 1.9 and Loewe 4.99 ± 1.8. Jurkat also surpassed CCRF-CEM in high-degree synergistic adavosertib-cytarabine interactions with mean across-models synergy values of ∼89.1% ± 2.9 for 63 nM cytarabine-97 nM adavosertib (91.4% inhibition synergy barometer). Combination sensitivity scores scatter plots confirmed combination's synergy efficacy. This combined approach permitted identification and prioritization of 63 nM cytarabine-97 nM adavosertib for multiple endpoints analysis. This combination did not affect PBMC viability, while exhibiting Jurkat selective synergy. Immunoblots also revealed Jurkat selective synergistically increased γH2AX phosphorylation, while CDC2 phosphorylation effects were attributed to adavosertib's WEE1 inhibition. In conclusion, the high synergistic efficacy combination of cytarabine (63 nM) and adavosertib (97 nM) was associated with remarkable alterations in metabolites related to the Krebs cycle in Jurkat. The metabolic pathways and processes are related to gluconeogenesis, amino acids, nucleotides, glutathione, electron transport and Warburg effect. All above relate to cell survival, apoptosis, and cancer progression. Our findings could pave the way for novel biomarkers in treatment, diagnosis, and prognosis of leukemia and other cancers.

Keywords: CCRF-CEM; Jurkat; Leukemia; Metabolome; Synergy; WEE1.