Separable cell cycle arrest and immune response elicited through pharmacological CDK4/6 and MEK inhibition in RASmut disease models.
Jin WuJianxin WangThomas N O'ConnorStephanie L TzetzoKaterina V GurovaErik S KnudsenAgnieszka K WitkiewiczPublished in: Molecular cancer therapeutics (2024)
The combination of CDK4/6 and MEK inhibition as a therapeutic strategy has shown promise in various cancer models, particularly in those harboring RAS mutations. An initial high-throughput drug screen identified a high synergy between the CDK4/6 inhibitor palbociclib and the MEK inhibitor trametinib when used in combination in soft tissue sarcomas. In RAS mutant models, combination treatment with palbociclib and trametinib induced significant G1 cell cycle arrest, resulting in a marked reduction in cell proliferation and growth. CRISPR-mediated RB1 depletion resulted in a decreased response to CDK4/6 and MEK inhibition, which was validated in both cell culture and xenograft models. Beyond its cell cycle inhibitory effects, pathway enrichment analysis revealed the robust activation of interferon pathways upon CDK4/6 and MEK inhibition. This induction of gene expression was associated with the upregulation of retroviral elements. The TBK1(TANK-binding kinase 1) inhibitor GSK8612 selectively blocked the induction of interferon-related genes induced by palbociclib and trametinib treatment, and highlighted the separable epigenetic responses elicited by combined CDK4/6 and MEK inhibition. Together, these findings provide key mechanistic insights into the therapeutic potential of CDK4/6 and MEK inhibition in soft tissue sarcoma.
Keyphrases
- cell cycle
- pi k akt
- cell proliferation
- cell cycle arrest
- signaling pathway
- gene expression
- high throughput
- immune response
- cell death
- dendritic cells
- soft tissue
- oxidative stress
- crispr cas
- emergency department
- wild type
- genome wide
- replacement therapy
- deep learning
- high grade
- genome editing
- artificial intelligence
- young adults
- combination therapy
- dna binding
- big data