Sequential Inhibition of PARP and BET as a Rational Therapeutic Strategy for Glioblastoma.
Xin PengXin HuangShaolu ZhangNaixin ZhangShengfan HuangYingying WangZhenxing ZhongShan ZhuHaiwang GaoZixiang YuXiaotong YanZhennan TaoYuxiang DaiZhe ZhangXi ChenFeng WangFrancois X ClaretMoshe ElkabetsNing JiYuxu ZhongDexin KongPublished in: Advanced science (Weinheim, Baden-Wurttemberg, Germany) (2024)
PARP inhibitors (PARPi) hold substantial promise in treating glioblastoma (GBM). However, the adverse effects have restricted their broad application. Through unbiased transcriptomic and proteomic sequencing, it is discovered that the BET inhibitor (BETi) Birabresib profoundly alters the processes of DNA replication and cell cycle progression in GBM cells, beyond the previously reported impact of BET inhibition on homologous recombination repair. Through in vitro experiments using established GBM cell lines and patient-derived primary GBM cells, as well as in vivo orthotopic transplantation tumor experiments in zebrafish and nude mice, it is demonstrated that the concurrent administration of PARPi and BETi can synergistically inhibit GBM. Intriguingly, it is observed that DNA damage lingers after discontinuation of PARPi monotherapy, implying that sequential administration of PARPi followed by BETi can maintain antitumor efficacy while reducing toxicity. In GBM cells with elevated baseline replication stress, the sequential regimen exhibits comparable efficacy to concurrent treatment, protecting normal glial cells with lower baseline replication stress from DNA toxicity and subsequent death. This study provides compelling preclinical evidence supporting the development of innovative drug administration strategies focusing on PARPi for GBM therapy.
Keyphrases
- dna damage
- induced apoptosis
- cell cycle arrest
- cell cycle
- dna repair
- oxidative stress
- cell death
- signaling pathway
- stem cells
- cell proliferation
- radiation therapy
- adipose tissue
- squamous cell carcinoma
- clinical trial
- randomized controlled trial
- single cell
- combination therapy
- deep learning
- open label
- metabolic syndrome
- cell therapy
- artificial intelligence
- spinal cord
- heat stress
- circulating tumor
- study protocol
- circulating tumor cells
- cell free