An integrated functional and clinical genomics approach reveals genes driving aggressive metastatic prostate cancer.
An integrated functional and clinical genomics approach reveals genes driving aggressive metastatic prostate cancer.
复制标题
DOI:
10.1038/s41467-021-24919-7
复制
发表时间:
2021-07-29
影响因子:
16.6
通讯作者:
Gilbert LA
中科院分区:
文献类型:
--
作者:
Das R;Sjöström M;Shrestha R;Yogodzinski C;Egusa EA;Chesner LN;Chen WS;Chou J;Dang DK;Swinderman JT;Ge A;Hua JT;Kabir S;Quigley DA;Small EJ;Ashworth A;Feng FY;Gilbert LA
Genomic sequencing of thousands of tumors has revealed many genes associated with specific types of cancer. Similarly, large scale CRISPR functional genomics efforts have mapped genes required for cancer cell proliferation or survival in hundreds of cell lines. Despite this, for specific disease subtypes, such as metastatic prostate cancer, there are likely a number of undiscovered tumor specific driver genes that may represent potential drug targets. To identify such genetic dependencies, we performed genome-scale CRISPRi screens in metastatic prostate cancer models. We then created a pipeline in which we integrated pan-cancer functional genomics data with our metastatic prostate cancer functional and clinical genomics data to identify genes that can drive aggressive prostate cancer phenotypes. Our integrative analysis of these data reveals known prostate cancer specific driver genes, such as AR and HOXB13, as well as a number of top hits that are poorly characterized. In this study we highlight the strength of an integrated clinical and functional genomics pipeline and focus on two top hit genes, KIF4A and WDR62. We demonstrate that both KIF4A and WDR62 drive aggressive prostate cancer phenotypes in vitro and in vivo in multiple models, irrespective of AR-status, and are also associated with poor patient outcome. It is hypothesized that there are a number of tumor specific driver genes for metastatic prostate cancer. Here, the authors perform genome-wide CRISPRi screens and integrate these data with metastatic prostate cancer functional and clinical genomics data to show that KIF4A and WDR62 drive aggressive prostate cancer phenotypes.
登录
查看更多内容
影响因子:
7.3
作者:
Gao J;Aksoy BA;Dogrusoz U;Dresdner G;Gross B;Sumer SO;Sun Y;Jacobsen A;Sinha R;Larsson E;Cerami E;Sander C;Schultz N
通讯作者:
Schultz N
影响因子:
82.9
作者:
Beltran H;Prandi D;Mosquera JM;Benelli M;Puca L;Cyrta J;Marotz C;Giannopoulou E;Chakravarthi BV;Varambally S;Tomlins SA;Nanus DM;Tagawa ST;Van Allen EM;Elemento O;Sboner A;Garraway LA;Rubin MA;Demichelis F
通讯作者:
Demichelis F
影响因子:
64.5
作者:
Cancer Genome Atlas Research Network
通讯作者:
Cancer Genome Atlas Research Network
DOI:
10.1056/nejmoa1110000
发表时间:
2012-01-12
期刊:
The New England journal of medicine
影响因子:
--
作者:
Ewing CM;Ray AM;Lange EM;Zuhlke KA;Robbins CM;Tembe WD;Wiley KE;Isaacs SD;Johng D;Wang Y;Bizon C;Yan G;Gielzak M;Partin AW;Shanmugam V;Izatt T;Sinari S;Craig DW;Zheng SL;Walsh PC;Montie JE;Xu J;Carpten JD;Isaacs WB;Cooney KA
通讯作者:
Cooney KA
影响因子:
14.9
作者:
Frankish A;Diekhans M;Ferreira AM;Johnson R;Jungreis I;Loveland J;Mudge JM;Sisu C;Wright J;Armstrong J;Barnes I;Berry A;Bignell A;Carbonell Sala S;Chrast J;Cunningham F;Di Domenico T;Donaldson S;Fiddes IT;García Girón C;Gonzalez JM;Grego T;Hardy M;Hourlier T;Hunt T;Izuogu OG;Lagarde J;Martin FJ;Martínez L;Mohanan S;Muir P;Navarro FCP;Parker A;Pei B;Pozo F;Ruffier M;Schmitt BM;Stapleton E;Suner MM;Sycheva I;Uszczynska-Ratajczak B;Xu J;Yates A;Zerbino D;Zhang Y;Aken B;Choudhary JS;Gerstein M;Guigó R;Hubbard TJP;Kellis M;Paten B;Reymond A;Tress ML;Flicek P
通讯作者:
Flicek P