Molecular docking of 12 Lepiotaprocerins revealed Lepiotaprocerin C as the most potent compound, exhibiting superior binding affinity (-11.4 kcal/mol) compared with the reference inhibitor AZD1208...Prediction of Activity Spectra for Substances and toxicity predictions further revealed high antineoplastic potential (Pa = 0.881) and a nontoxic safety profile. These results highlight Lepiotaprocerin C as a promising, stable, and safe inhibitor of PIM-1 kinase, warranting further in vitro and in vivo validation for potential anticancer drug development.
Overall, dapolsertib demonstrated modest single-agent activity in patients with AML. This trial was registered at www.clinicaltrials.gov as #NCT03008187.
Post-molecular dynamics simulation MM-GBSA analysis further confirmed these interactions, with binding free energies for FLT3: Kaempferol (-73.75 kcal/mol), Apigenin (-68.76 kcal/mol), Pacritinib (-51.27 kcal/mol); and for PIM1: Tricetin (-64.28 kcal/mol), Diosmetin (-52.2 kcal/mol), SEL24 (-53.38 kcal/mol). FLT3 and MPO were identified as specific diagnostic and prognostic biomarkers for AML. This comprehensive in-silico analysis revealed promising therapeutic compounds from E. prostrata targeting FLT3 and PIM1, along with novel biomarker potentials of FLT3 and MPO for improved AML diagnosis and prognosis, subject to further experimental validation.
VCP drives NED in PCa cells through a complex interplay involving the Pim1 axis and autophagy pathways. These findings highlight the potential of targeting VCP/p97 and its associated mechanisms as therapeutic strategies to inhibit NED progression.
Strikingly, IBL-202 strongly induced cell-cycle-dependent cell death in cell lines of different mTCL subtypes. Together, our study provides mechanistic evidence supporting a therapeutic strategy of dual Pim- and PI3-kinase inhibition in mature T-cell lymphoma.
The combination of AZD1208 with the clinically available BCL2 inhibitor venetoclax was synergistic in most DLBCL cell lines, and this combination induced apoptosis and reduced levels of AKT and MCL1 proteins. These combinations may enable lower doses of PIM inhibitors, leading to increased tolerability and improved anti-tumor activity in clinical settings. The study also highlighted the potential for targeting PIM kinases in combination with other therapies to overcome drug resistance in DLBCL.
Immune profiling revealed that PIM inhibitors sensitized PCa tumors to ICIs by increasing tumor suppressive TAMs and increasing the activation of cytotoxic T cells. Our data implicate macrophage PIM as a driver of inflammation that limits ICI potency and provide preclinical evidence that PIM inhibitors are an effective strategy to improve the ICI efficacy in PCa.
Pim kinase inhibition may offer a novel therapeutic approach to limit cellular responses to thromboxane A2, independent of cyclooxygenase inhibition and direct antagonism of the receptor.
Notably, disruption of SND1S426 phosphorylation impaired the SND1-SMARCA5 interaction, leading to significant inhibition of ESCC tumor growth and metastatic potential in vivo. Our findings unveil a novel mechanistic axis involving SND1 and SMARCA5 in chromatin remodeling and oncogenesis, offering promising therapeutic targets for ESCC intervention.
1 year ago
Journal
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CUX1 (cut like homeobox 1) • PIM1 (Pim-1 Proto-Oncogene) • SMARCA5 (SWI/SNF Related, Matrix Associated, Actin Dependent Regulator Of Chromatin, Subfamily A, Member 5)
We also show that MEN1703 downregulates stromal cytokines that promote cytokine-mediated resistance of AML blast cells to FLT3 inhibition. These results demonstrate the importance of the combination approach to overcome microenvironment-mediated resistance to FLT3 inhibitors.
Additionally, visualizing the weights of nodes (atoms in the molecule) in the model helps us to intuitively understand the relationship between molecular features and prediction outcomes, thereby enhancing the interpretability of the model. In summary, this work provides new insights and methods for performing activity prediction tasks for multiple similar targets in low-data scenarios.