SF3B1 hotspot mutations confer sensitivity to PARP inhibition by eliciting a defective replication stress response.
Philip BlandHarry SavillePatty T WaiLucinda CurnowGareth MuirheadJadwiga NieminuszczyNivedita RavindranMarie Beatrix JohnSomaieh HedayatHolly E BarkerJames WrightLu YuIoanna MavrommatiAbigail ReadBarrie PeckMark AllenPatrycja GazinskaHelen N PembertonAditi GulatiSarah NashFarzana NoorNaomi GuppyIoannis RoxanisGuy PrattCeri E OldreiveTatjana StankovicSamantha BarlowHelen KaliraiSarah E CouplandRonan BroderickSamar AlsafadiAlexandre HouyMarc-Henri SternStephen J PettittJyoti Sharma ChoudharySyed HaiderWojciech NiedzwiedzChristopher J LordRachael NatrajanPublished in: Nature genetics (2023)
SF3B1 hotspot mutations are associated with a poor prognosis in several tumor types and lead to global disruption of canonical splicing. Through synthetic lethal drug screens, we identify that SF3B1 mutant (SF3B1 MUT ) cells are selectively sensitive to poly (ADP-ribose) polymerase inhibitors (PARPi), independent of hotspot mutation and tumor site. SF3B1 MUT cells display a defective response to PARPi-induced replication stress that occurs via downregulation of the cyclin-dependent kinase 2 interacting protein (CINP), leading to increased replication fork origin firing and loss of phosphorylated CHK1 (pCHK1; S317) induction. This results in subsequent failure to resolve DNA replication intermediates and G 2 /M cell cycle arrest. These defects are rescued through CINP overexpression, or further targeted by a combination of ataxia-telangiectasia mutated and PARP inhibition. In vivo, PARPi produce profound antitumor effects in multiple SF3B1 MUT cancer models and eliminate distant metastases. These data provide the rationale for testing the clinical efficacy of PARPi in a biomarker-driven, homologous recombination proficient, patient population.
Keyphrases
- cell cycle arrest
- cell death
- poor prognosis
- pi k akt
- dna damage
- dna repair
- induced apoptosis
- cell proliferation
- long non coding rna
- signaling pathway
- clinical trial
- lymph node
- transcription factor
- protein kinase
- high glucose
- early onset
- squamous cell carcinoma
- endoplasmic reticulum stress
- small molecule
- oxidative stress
- electronic health record
- gene expression
- artificial intelligence
- amino acid
- papillary thyroid
- cell cycle
- young adults
- stress induced
- big data
- drug delivery
- dna damage response
- deep learning
- childhood cancer
- adverse drug