卵巢癌
癌症研究
PARP抑制剂
生物
癌细胞
DNA复制
体细胞
癌症
DNA修复
DNA损伤
生殖系
分子生物学
化学
DNA
聚ADP核糖聚合酶
遗传学
聚合酶
基因
作者
Ramya Ravindranathan,Ozge Somuncu,Alexandre André Balieiro Anastácio da Costa,Sirisha Mukkavalli,Benjamin P. Lamarre,Huy Nguyen,Carter Grochala,Yuqing Jiao,Joyce F. Liu,Bose Kochupurakkal,Kalindi Parmar,Geoffrey I. Shapiro,Alan D. D’Andrea
标识
DOI:10.1073/pnas.2413954121
摘要
Poly (ADP-ribose) glycohydrolase (PARG) is a dePARylating enzyme which promotes DNA repair by removal of poly (ADP-ribose) (PAR) from PARylated proteins. Loss or inhibition of PARG results in replication stress and sensitizes cancer cells to DNA-damaging agents. PARG inhibitors are now undergoing clinical development for patients having tumors with homologous recombination deficiency (HRD), such as cancer patients with germline or somatic BRCA1/2 -mutations. PARP inhibitors kill BRCA-deficient cancer cells by increasing single-stranded DNA gaps (ssGAPs) during replication. Here, we report that, like PARP inhibitor (PARPi), PARG inhibitor (PARGi) treatment also causes an accumulation of ssGAPs in sensitive cells. PARGi exposure increased accumulation of S-phase-specific PAR, a marker for Okazaki fragment processing (OFP) defects on lagging strands and induced ssGAPs, in sensitive cells but not in resistant cells. PARGi also caused accumulation of PAR at the replication forks and at the ssDNA sites in sensitive cells. Additionally, PARGi exhibited monotherapy activity in specific HR-deficient, as well as HR-proficient, patient-derived, or patient-derived xenograft (PDX)-derived organoids of ovarian cancer, and drug sensitivity directly correlated with the accumulation of ssGAPs. Taken together, PARGi treatment results in toxic accumulation of PAR at replication forks resulting in ssGAPs due to OFP defects during replication. Regardless of the BRCA/ HRD - status, the induction of ssGAPs in preclinical models of ovarian cancer cells correlates with PARGi sensitivity. Patient-derived organoids (PDOs) may be a useful model system for testing PARGi sensitivity and functional biomarkers.
科研通智能强力驱动
Strongly Powered by AbleSci AI