Targeting CDK7 suppresses super enhancer-linked inflammatory genes and alleviates CAR T cell-induced cytokine release syndrome.
Targeting CDK7 suppresses super enhancer-linked inflammatory genes and alleviates CAR T cell-induced cytokine release syndrome.
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靶向 CDK7 抑制超级增强子相关炎症基因并缓解 CAR T 细胞诱导的细胞因子释放综合征
DOI:
10.1186/s12943-020-01301-7
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发表时间:
2021-01-04
期刊:
影响因子:
37.3
通讯作者:
Su F
中科院分区:
文献类型:
--
作者:
Wei Y;Li C;Bian H;Qian W;Jin K;Xu T;Guo X;Lu X;Su F
BackgroundCytokine release syndrome (CRS) is a systemic inflammatory response characterized by the overexpression of inflammatory genes. Controlling CRS is essential for improving the therapeutic effects of chimeric antigen receptor (CAR) engineered T cells. However, current treatment options are limited given the complexity of cytokine interactions so it is important to seek a mild strategy with broad-spectrum inhibition to overcome this challenge.MethodsUsing THZ1, a covalent inhibitor of cyclin-dependent kinase 7 (CDK7), we demonstrated the transcriptional suppression of inflammatory genes in activated macrophages. RNA sequencing and ChIP sequencing were conducted to identify the key target genes of the inflammatory response. Pathogen- and CAR T cell-induced CRS models were also established to assess the efficacy and safety of targeting CDK7.ResultsCDK7 blockade attenuated cytokine release, mitigated hyperinflammatory states and rescued mice from lethal CRS. Targeting CDK7 preferentially suppressed a set of inflammatory genes, of which STAT1 and IL1 were the key targets associated with super enhancers. Furthermore, we confirmed the potent efficacy of THZ1 in alleviating the CRS induced by CAR T cell infusion without causing tissue injury or impairing antitumor effects.ConclusionsOur work indicates the CDK7-dependent transcription addiction of inflammatory genes. Targeting CDK7 is a promising strategy for treating CRS by inhibiting multiple cytokines.
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影响因子:
28.2
作者:
Gust J;Hay KA;Hanafi LA;Li D;Myerson D;Gonzalez-Cuyar LF;Yeung C;Liles WC;Wurfel M;Lopez JA;Chen J;Chung D;Harju-Baker S;Özpolat T;Fink KR;Riddell SR;Maloney DG;Turtle CJ
通讯作者:
Turtle CJ
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:
64.8
作者:
Kwiatkowski, Nicholas;Zhang, Tinghu;Rahl, Peter B.;Abraham, Brian J.;Reddy, Jessica;Ficarro, Scott B.;Dastur, Anahita;Amzallag, Arnaud;Ramaswamy, Sridhar;Tesar, Bethany;Jenkins, Catherine E.;Hannett, Nancy M.;McMillin, Douglas;Sanda, Takaomi;Sim, Taebo;Kim, Nam Doo;Look, Thomas;Mitsiades, Constantine S.;Weng, Andrew P.;Brown, Jennifer R.;Benes, Cyril H.;Marto, Jarrod A.;Young, Richard A.;Gray, Nathanael S.
通讯作者:
Gray, Nathanael S.
影响因子:
82.9
作者:
Giavridis T;van der Stegen SJC;Eyquem J;Hamieh M;Piersigilli A;Sadelain M
通讯作者:
Sadelain M
影响因子:
64.5
作者:
Hnisz D;Abraham BJ;Lee TI;Lau A;Saint-André V;Sigova AA;Hoke HA;Young RA
通讯作者:
Young RA