SF3B1 hotspot mutations confer sensitivity to PARP inhibition by eliciting a defective replication stress response.

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Authors

Bland, P
Saville, H
Wai, PT
Curnow, L
Muirhead, G
Nieminuszczy, J
Ravindran, N
John, MB
Hedayat, S
Barker, HE
Wright, J
Yu, L
Mavrommati, I
Read, A
Peck, B
Allen, M
Gazinska, P
Pemberton, HN
Gulati, A
Nash, S
Noor, F
Guppy, N
Roxanis, I
Pratt, G
Oldreive, C
Stankovic, T
Barlow, S
Kalirai, H
Coupland, SE
Broderick, R
Alsafadi, S
Houy, A
Stern, M-H
Pettit, S
Choudhary, JS
Haider, S
Niedzwiedz, W
Lord, CJ
Natrajan, R

Document Type

Journal Article

Date

2023-08-01

Date Accepted

2023-06-26

Abstract

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 (SF3B1MUT) cells are selectively sensitive to poly (ADP-ribose) polymerase inhibitors (PARPi), independent of hotspot mutation and tumor site. SF3B1MUT 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 G2/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 SF3B1MUT 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.

Citation

Nature Genetics, 2023, 55 (8), pp. 1311 - 1323

Source Title

Nature Genetics

Publisher

NATURE PORTFOLIO

ISSN

1061-4036

eISSN

1546-1718
1546-1718

Research Team

Functional Proteomics
Prote & Metabolomics Fac
BCR Bioinformatics Group
Cancer and Genome Instab
Gene Function
Functional Genomics

Notes