A drug discovery pipeline for MAPK/ERK pathway inhibitors in C. elegans.
Szymon GorgońOla BillingAnna Ulrika ErikssonOskar HemmingssonPublished in: Cancer research communications (2024)
Oncogenic signaling through the MAPK/ERK pathway drives tumor progression in many cancers. While targeted MAPK/ERK pathway inhibitors improve survival in selected patients, most tumors are resistant. New drugs could be identified in small animal models that, unlike in vitro models, can address oral uptake, compound bioavailability and toxicity. This requires pharmacological conformity between human and model MAPK/ERK pathways, and available phenotypic assays. Here, we test if the conserved MAPK/ERK pathway in C. elegans could serve as a model for pharmacological inhibition and we develop in vivo pipelines for high throughput compound screens. Using fluorescence-based image analysis of vulva development as a readout for MAPK/ERK activity, we obtained excellent assay Z-scores for the MEK inhibitors trametinib (Z = 0.95), mirdametinib (Z = 0.93), and AZD8330 (Z = 0.87), as well as the ERK inhibitor temuterkib (Z = 0.86). The throughput was 800 wells per hour, with an average seed density of 25.5 animals per well. Readouts included drug efficacy, toxicity, and pathway specificity, which was tested against pathway activating upstream (lin-15)- and downstream (lin-1) mutants. To validate the model in a high throughput setting, we screened a blinded library of 433 anti-cancer compounds and identified four MEK inhibitors among seven positive hits. Our results highlight a high degree of pharmacological conformity between C. elegans and human MAPK/ERK pathways and the presented high-throughput pipeline may discover and characterize novel inhibitors in vivo.
Keyphrases
- patient reported outcomes
- signaling pathway
- pi k akt
- high throughput
- cell proliferation
- oxidative stress
- endothelial cells
- single cell
- drug discovery
- transcription factor
- blood pressure
- poor prognosis
- emergency department
- chronic kidney disease
- end stage renal disease
- drug delivery
- dna methylation
- induced pluripotent stem cells
- clinical trial
- machine learning
- ejection fraction
- young adults
- peritoneal dialysis
- gene expression
- genome wide
- long non coding rna