CRISPR screens reveal genetic determinants of PARP inhibitor sensitivity and resistance in prostate cancer.
CRISPR screens reveal genetic determinants of PARP inhibitor sensitivity and resistance in prostate cancer.
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DOI:
10.1038/s41467-023-35880-y
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发表时间:
2023-01-17
影响因子:
16.6
通讯作者:
Jia, Li
中科院分区:
文献类型:
--
作者:
Tsujino, Takuya;Takai, Tomoaki;Hinohara, Kunihiko;Gui, Fu;Tsutsumi, Takeshi;Bai, Xiao;Miao, Chenkui;Feng, Chao;Gui, Bin;Sztupinszki, Zsofia;Simoneau, Antoine;Xie, Ning;Fazli, Ladan;Dong, Xuesen;Azuma, Haruhito;Choudhury, Atish D. D.;Mouw, Kent W. W.;Szallasi, Zoltan;Zou, Lee;Kibel, Adam S. S.;Jia, Li
Prostate cancer harboring BRCA1/2 mutations are often exceptionally sensitive to PARP inhibitors. However, genomic alterations in other DNA damage response genes have not been consistently predictive of clinical response to PARP inhibition. Here, we perform genome-wide CRISPR-Cas9 knockout screens in BRCA1/2-proficient prostate cancer cells and identify previously unknown genes whose loss has a profound impact on PARP inhibitor response. Specifically, MMS22L deletion, frequently observed (up to 14%) in prostate cancer, renders cells hypersensitive to PARP inhibitors by disrupting RAD51 loading required for homologous recombination repair, although this response is TP53-dependent. Unexpectedly, loss of CHEK2 confers resistance rather than sensitivity to PARP inhibition through increased expression of BRCA2, a target of CHEK2-TP53-E2F7-mediated transcriptional repression. Combined PARP and ATR inhibition overcomes PARP inhibitor resistance caused by CHEK2 loss. Our findings may inform the use of PARP inhibitors beyond BRCA1/2-deficient tumors and support reevaluation of current biomarkers for PARP inhibition in prostate cancer. Identifying prostate cancer patients who may respond well to PARP inhibitors is important for their success in the clinic. Here, using a genome-wide CRISPR-Cas9 knockout screen, the authors identify MMS22L as a biomarker for sensitivity to PARP inhibition in BRCA1/2-proficient prostate cancer.
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DOI:
10.1093/bioinformatics/btu638
发表时间:
2015-01-15
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Anders S;Pyl PT;Huber W
通讯作者:
Huber W
影响因子:
--
作者:
Brookman-Amissah, Nicola;Nariculam, Joseph;Feneley, Mark R.
通讯作者:
Feneley, Mark R.
影响因子:
4.4
作者:
Dayebgadoh, Gerald;Sardiu, Mihaela E.;Washburn, Michael P.
通讯作者:
Washburn, Michael P.
DOI:
10.1200/jco.20.01035
发表时间:
2020-11-10
期刊:
Journal of clinical oncology : official journal of the American Society of Clinical Oncology
影响因子:
--
作者:
Abida W;Patnaik A;Campbell D;Shapiro J;Bryce AH;McDermott R;Sautois B;Vogelzang NJ;Bambury RM;Voog E;Zhang J;Piulats JM;Ryan CJ;Merseburger AS;Daugaard G;Heidenreich A;Fizazi K;Higano CS;Krieger LE;Sternberg CN;Watkins SP;Despain D;Simmons AD;Loehr A;Dowson M;Golsorkhi T;Chowdhury S;TRITON2 investigators
通讯作者:
TRITON2 investigators
影响因子:
82.9
作者:
Davies H;Glodzik D;Morganella S;Yates LR;Staaf J;Zou X;Ramakrishna M;Martin S;Boyault S;Sieuwerts AM;Simpson PT;King TA;Raine K;Eyfjord JE;Kong G;Borg Å;Birney E;Stunnenberg HG;van de Vijver MJ;Børresen-Dale AL;Martens JW;Span PN;Lakhani SR;Vincent-Salomon A;Sotiriou C;Tutt A;Thompson AM;Van Laere S;Richardson AL;Viari A;Campbell PJ;Stratton MR;Nik-Zainal S
通讯作者:
Nik-Zainal S