Integrative analysis of CRISPR screening data uncovers new opportunities for optimizing cancer immunotherapy.
Integrative analysis of CRISPR screening data uncovers new opportunities for optimizing cancer immunotherapy.
复制标题
CRISPR 筛选数据的综合分析揭示了优化癌症免疫治疗的新机会
DOI：
10.1186/s12943-021-01462-z
复制
发表时间：
2022-01-02
期刊：
影响因子：
37.3
通讯作者：
Chen H
中科院分区：
文献类型：
--
作者：
Li Y;Yang C;Liu Z;Du S;Can S;Zhang H;Zhang L;Huang X;Xiao Z;Li X;Fang J;Qin W;Sun C;Wang C;Chen J;Chen H
In recent years, the application of functional genetic immuno-oncology screens has showcased the striking ability to identify potential regulators engaged in tumor-immune interactions. Although these screens have yielded substantial data, few studies have attempted to systematically aggregate and analyze them. In this study, a comprehensive data collection of tumor immunity-associated functional screens was performed. Large-scale genomic data sets were exploited to conduct integrative analyses. We identified 105 regulator genes that could mediate resistance or sensitivity to immune cell-induced tumor elimination. Further analysis identified MON2 as a novel immune-oncology target with considerable therapeutic potential. In addition, based on the 105 genes, a signature named CTIS (CRISPR screening-based tumor-intrinsic immune score) for predicting response to immune checkpoint blockade (ICB) and several immunomodulatory agents with the potential to augment the efficacy of ICB were also determined. Overall, our findings provide insights into immune oncology and open up novel opportunities for improving the efficacy of current immunotherapy agents. The online version contains supplementary material available at 10.1186/s12943-021-01462-z.
登录
查看更多内容
DOI：
10.1056/nejmoa1003466
发表时间：
2010-08-19
期刊：
The New England journal of medicine
影响因子：
--
作者：
Hodi FS;O'Day SJ;McDermott DF;Weber RW;Sosman JA;Haanen JB;Gonzalez R;Robert C;Schadendorf D;Hassel JC;Akerley W;van den Eertwegh AJ;Lutzky J;Lorigan P;Vaubel JM;Linette GP;Hogg D;Ottensmeier CH;Lebbé C;Peschel C;Quirt I;Clark JI;Wolchok JD;Weber JS;Tian J;Yellin MJ;Nichol GM;Hoos A;Urba WJ
通讯作者：
Urba WJ
影响因子：
16.6
作者：
Cortes-Ciriano I;Lee S;Park WY;Kim TM;Park PJ
通讯作者：
Park PJ
影响因子：
9.8
作者：
Bhattacharya S;Dunn P;Thomas CG;Smith B;Schaefer H;Chen J;Hu Z;Zalocusky KA;Shankar RD;Shen-Orr SS;Thomson E;Wiser J;Butte AJ
通讯作者：
Butte AJ
影响因子：
7.5
作者：
Bergman, Michael;Levin, Gal Sahav;Salman, Hertzel
通讯作者：
Salman, Hertzel
影响因子：
28.2
作者：
Gu SS;Zhang W;Wang X;Jiang P;Traugh N;Li Z;Meyer C;Stewig B;Xie Y;Bu X;Manos MP;Font-Tello A;Gjini E;Lako A;Lim K;Conway J;Tewari AK;Zeng Z;Sahu AD;Tokheim C;Weirather JL;Fu J;Zhang Y;Kroger B;Liang JH;Cejas P;Freeman GJ;Rodig S;Long HW;Gewurz BE;Hodi FS;Brown M;Liu XS
通讯作者：
Liu XS