Search bioRxiv⌕ Search

bioRxiv · 10.64898/2025.12.24.696284

CK2 inhibitor, CX-4945, enhances BH3 priming and promotes apoptosis of venetoclax-resistant AML by targeting antiapoptotic proteins

Abstract

Acute myeloid leukemia (AML), the most common hematologic malignancy, generally has a poor prognosis. Despite initial favorable responses to the BCL2 inhibitor venetoclax (VEN), remission is transient, and AML is eventually fatal. Resistance to VEN is primarily due to the overexpression of anti-apoptotic proteins, including MCL-1, BCL2L1 (BCL-XL), and BCL2A1. Casein kinase II (CK2) is a serine-threonine kinase and a known suppressor of apoptosis. We and others have reported that protein kinase CK2 activity is high in leukemic stem cells (LSCs) and associated with resistance to chemotherapy. We have shown that the selective CK2 inhibitor, CX-4945, suppresses BCL-XL and has a significant anti-tumor effect in AML preclinical models. CK2 expression and activity are high in venetoclax-resistant AML (VR-AML) cell lines. Genetic and pharmacological inhibition of CK2 significantly altered VR-AML gene signature, decreased MCL-1 protein level, increased BH3 priming and sensitized VR-AML cells to apoptosis. More importantly, CX-4945 selectively targeted LSCs (CD34+CD38-) and chemoresistant (CD123+CD47+) subpopulation in VR-AML. CX-4945 combined with VEN decreased leukemia burden and prolonged the survival of VR-AML cell line-derived and patient-derived xenografts compared to either drug alone. The combinatorial treatment was well tolerated in mice without additional myelosuppression or organ toxicity. CX-4945 (silmitasertib) is being tested in several early-phase clinical trials against adult and pediatric cancers. These preclinical results support the use of CX-4945 in combination with VEN to overcome resistance to apoptosis and re-sensitize VR-AML to chemotherapy. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=135 SRC="FIGDIR/small/696284v1_ufig1.gif" ALT="Figure 1"> View larger version (43K): org.highwire.dtl.DTLVardef@6a902forg.highwire.dtl.DTLVardef@2028f5org.highwire.dtl.DTLVardef@160fd4dorg.highwire.dtl.DTLVardef@95da53_HPS_FORMAT_FIGEXP M_FIG C_FIG

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Daniyal, M., Rajaiah, R., Golla, U., Pandiyan Shanmugam, M., Duke, K., Mercer, K., Uzun, Y., Valensi, H., Hengst, J., Dovat, S., Qiu, Y., Huang, S., Behura, C. G.. 2025-12-26. CK2 inhibitor, CX-4945, enhances BH3 priming and promotes apoptosis of venetoclax-resistant AML by targeting antiapoptotic proteins. https://doi.org/10.64898/2025.12.24.696284

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Translational Pharmacokinetics and Pharmacodynamics of a Cationic mRNA-Lipid Nanoparticle from Mice to Non-Human Primates

Cationic lipid nanoparticles have demonstrated unique potential for extrahepatic mRNA delivery, particularly enabling selective targeting of the pulmonary endothelium. However, their translational development has been hampered by reports of infusion-related immune reactions and innate immune system activation, most notably transient complement activation. Here, we present a case study illustrating the discovery and translational advancement of a selected cationic LNP into non-human primates (NHPs) for initial pharmacokinetic assessment and evaluation of potential immunostimulatory side effects. We show surface charge dependent organ-selective expression of reporter mRNAs from different LNPs in vivo. An mRNA encoding the Tie2 agonist COMP-Angl, was formulated with LNP002, and respective pharmacokinetic and pharmacodynamic readouts were analyzed in two independent non-human primate studies. Notably, dose-dependent transient complement activation could be abrogated by extending the infusion time. Finally, we identified the blood-borne pharmacodynamic biomarker PDGFB for LNP002/mRNA-76 treatment reflecting activated Tie2-signalling in healthy pulmonary endothelium in vivo supported by single cell sequencing and cluster-alignment of downstream effector genes with the same spatial profile as the delivered mRNA.

pharmacology and toxicology↗

Cytotoxic Effects of Multiple Pesticides and their Mixtures on Caco-2 Cells Evaluated by Using MTT and Trypan Blue Assays

BACKGROUND: Pesticides are extensively used in agriculture, raising concerns about their potential impact on human health through dietary and environmental exposure. OBJECTIVES: This study evaluated the in vitro cytotoxicity of ten commonly used pesticides and their mixtures (lambda-cyhalothrin, cypermethrin, deltamethrin, tebuconazole, glyphosate, acetamiprid, cyprodinil, piperonyl butoxide, fluopyram, and imazalil) on human intestinal Caco-2 cells. METHODS: Cytotoxicity was assessed using the MTT assay, as a measure of metabolic activity, and the trypan blue exclusion test, as an indicator of cell membrane integrity. FINDINGS: Results showed that high concentrations (100 mg/L) of all pesticides significantly reduced cell viability and vitality. Notably, glyphosate and tebuconazole exhibited significant toxicity even at lower concentrations, respectively 0.1 mg/L and 10 mg/L. Combination treatments (Top 3 and Top 8 pesticide mixtures) retained the cytotoxic effects observed for individual compounds, showing additive (non-synergistic) effects. CONCLUSIONS: Overall, these findings indicate that certain pesticides-based herbicides can exert cytotoxic effects on intestinal cells even at relatively low concentrations and highlight the importance of using the component-based approach in mixture risk assessment for humans. This study was performed as part of the EU SPRINT (Sustainable Plant Protection Transition: A Global Health Approach) project.

pharmacology and toxicology↗

Assessing chemical toxicity across Eukaryota using multimodal transformers

Biodiversity is globally threatened by chemical pollution, yet toxicity data remain unavailable for millions of species and tens of thousands of chemicals, severely limiting our ability to assess ecological impacts. Here we present TRIDENT-2, a multimodal artificial intelligence model for predicting chemical toxicity across evolutionarily diverse eukaryotic species. Trained on 560,780 toxicity assays spanning 82,775 chemicals, 6,793 species, and multiple exposure scenarios, TRIDENT-2 accurately predicts toxicity across Eukaryota with an average median absolute error ranging from 1.76 to 3.80. By jointly learning from chemical, biological, and experimental information, it remains accurate across broad chemical and taxonomic distances, allowing for toxicity assessment for species and chemicals beyond the current experimental evidence. Our findings demonstrate that artificial intelligence can help overcome longstanding data limitations in ecotoxicology, paving the way for improved decision-making and reducing chemical impacts on biodiversity and ecosystems.

pharmacology and toxicology↗