Synergistic Anti-Tumor Effect of Combining Selective CDK7 and BRD4 Inhibition in Neuroblastoma.
Synergistic Anti-Tumor Effect of Combining Selective CDK7 and BRD4 Inhibition in Neuroblastoma.
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DOI:
10.3389/fonc.2021.773186
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发表时间:
2021
影响因子:
4.7
通讯作者:
George RE
中科院分区:
文献类型:
--
作者:
Gao Y;Volegova M;Nasholm N;Das S;Kwiatkowski N;Abraham BJ;Zhang T;Gray NS;Gustafson C;Krajewska M;George RE
Cyclin-dependent kinases (CDKs) that have critical roles in RNA polymerase II (Pol II)-mediated gene transcription are emerging as therapeutic targets in cancer. We have previously shown that THZ1, a covalent inhibitor of CDKs 7/12/13, leads to cytotoxicity in MYCN-amplified neuroblastoma through the downregulation of super-enhancer-associated transcriptional upregulation. Here we determined the effects of YKL-5-124, a novel covalent inhibitor with greater selectivity for CDK7 in neuroblastoma cells. We tested YKL-5-124 in MYCN-amplified and nonamplified neuroblastoma cells individually and in combination with other inhibitors in cell line and animal models. Cell viability, target validation, effects on cell cycle and transcription were analyzed. CDK7 inhibition with YKL-5-124 did not lead to significant cell death, but resulted in aberrant cell cycle progression especially in MYCN-amplified cells. Unlike THZ1, YKL-5-124 had minimal effects on Pol II C-terminal domain phosphorylation, but significantly inhibited that of the CDK1 and CDK2 cell cycle kinases. Combining YKL-5-124 with the BRD4 inhibitor JQ1 resulted in synergistic cytotoxicity. A distinct MYCN-gene expression signature associated with resistance to BRD4 inhibition was suppressed with the combination. The synergy between YKL-5-124 and JQ1 translated into significant tumor regression in cell line and patient-derived xenograft mouse models of neuroblastoma. The combination of CDK7 and BRD4 inhibition provides a therapeutic option for neuroblastoma and suggests that the addition of YKL-5-124 could improve the therapeutic efficacy of JQ1 and delay resistance to BRD4 inhibition.
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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:
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:
64.8
作者:
通讯作者:
--
影响因子:
64.5
作者:
FISHER, RP;MORGAN, DO
通讯作者:
MORGAN, DO
影响因子:
10.5
作者:
Rimel JK;Poss ZC;Erickson B;Maas ZL;Ebmeier CC;Johnson JL;Decker TM;Yaron TM;Bradley MJ;Hamman KB;Hu S;Malojcic G;Marineau JJ;White PW;Brault M;Tao L;DeRoy P;Clavette C;Nayak S;Damon LJ;Kaltheuner IH;Bunch H;Cantley LC;Geyer M;Iwasa J;Dowell RD;Bentley DL;Old WM;Taatjes DJ
通讯作者:
Taatjes DJ