Pharmacological targeting of CBP/p300 drives a redox/autophagy axis leading to senescence-induced growth arrest in non-small cell lung cancer cells.
Mohammad Salik Zeya AnsariVenturina StagniAngela IuzzolinoDante RotiliAntonello MaiDonatella Del BufaloPatrizia LaviaFrancesca DegrassiDaniela TrisciuoglioPublished in: Cancer gene therapy (2022)
p300/CBP histone acetyltransferases (HAT) are critical transcription coactivators involved in multiple cellular activities. They act at multiple levels in non-small cell lung carcinoma (NSCLC) and appear, therefore, as promising druggable targets. Herein, we investigated the biological effects of A-485, the first selective (potent) drug-like HAT catalytic inhibitor of p300/CBP, in human NSCLC cell lines. A-485 treatment specifically reduced p300/CBP-mediated histone acetylation marks and caused growth arrest of lung cancer cells via activation of the autophagic pathway. Indeed, A-485 growth-arrested cells displayed phenotypic markers of cell senescence and failed to form colonies. Notably, disruption of autophagy by genetic and pharmacological approaches triggered apoptotic cell death. Mechanistically, A-485-induced senescence occurred through the accumulation of reactive oxygen species (ROS), which in turn resulted in DNA damage and activation of the autophagic pathway. Interestingly, ROS scavengers were able to revert senescence phenotype and restore cell viability, suggesting that ROS production had a key role in upstream events leading to growth arrest commitment. Altogether, our data provide new insights into the biological effects of the A-485 and uncover the importance of the autophagic/apoptotic response to design a new combinatorial anticancer strategy.
Keyphrases
- cell death
- dna damage
- cell cycle arrest
- endothelial cells
- high glucose
- reactive oxygen species
- single cell
- small cell lung cancer
- oxidative stress
- cell therapy
- diabetic rats
- dna methylation
- induced apoptosis
- stress induced
- drug induced
- emergency department
- advanced non small cell lung cancer
- endoplasmic reticulum stress
- gene expression
- sensitive detection
- machine learning
- mass spectrometry
- drug delivery
- copy number
- quantum dots
- cell proliferation
- data analysis