Therapeutic disruption of RAD52–ssDNA complexation via novel drug-like inhibitors. Issue 2 (1st May 2023)

• Record Type: Journal Article
• Authors: Bhat, Divya S; Malacaria, Eva; Biagi, Ludovica Di; Razzaghi, Mortezaali; Honda, Masayoshi; Hobbs, Kathryn F; Hengel, Sarah R; Pichierri, Pietro; Spies, M Ashley; Spies, Maria
• Is Part Of: NAR cancer. Volume 5:Issue 2(2023)
• Publication Date: 2023-05-01
• Subjects: Cancer -- Periodicals; Cancer -- Genetic aspects -- Periodicals; Nucleic acids -- Periodicals; Molecular biology -- Periodicals; 616.994
• DOI: 10.1093/narcan/zcad018
• Languages: English
• ISSNs: 2632-8674

Abstract

Abstract: RAD52 protein is a coveted target for anticancer drug discovery. Similar to poly-ADP-ribose polymerase (PARP) inhibitors, pharmacological inhibition of RAD52 is synthetically lethal with defects in genome caretakers BRCA1 and BRCA2 (∼25% of breast and ovarian cancers). Emerging structure activity relationships for RAD52 are complex, making it challenging to transform previously identified disruptors of the RAD52–ssDNA interaction into drug-like leads using traditional medicinal chemistry approaches. Using pharmacophoric informatics on the RAD52 complexation by epigallocatechin (EGC), and the Enamine in silico REAL database, we identified six distinct chemical scaffolds that occupy the same physical space on RAD52 as EGC. All six were RAD52 inhibitors (IC50 ∼23–1200 μM) with two of the compounds (Z56 and Z99) selectively killing BRCA-mutant cells and inhibiting cellular activities of RAD52 at micromolar inhibitor concentrations. While Z56 had no effect on the ssDNA-binding protein RPA and was toxic to BRCA-mutant cells only, Z99 inhibited both proteins and displayed toxicity towards BRCA-complemented cells. Optimization of the Z99 scaffold resulted in a set of more powerful and selective inhibitors (IC50 ∼1.3–8 μM), which were only toxic to BRCA-mutant cells. RAD52 complexation by Z56, Z99 and its more specific derivatives provide a roadmap for next generation of cancer therapeutics. Graphical Abstract: