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Published in final edited form as: Nature. 2014 Jun 22;511(7511):616–620. doi: 10.1038/nature13393
Targeting transcription regulation in cancer with a covalent CDK7 inhibitor
13Chemical Kinomics Research Center, Korea Institute of Science and Technology, 39-1, Hawolgok-dong, Seongbuk-gu, Seoul, 136-791, Korea/ KU-KIST Graduate School of Converging Science and Technology, 145, Anam-ro, Seoul, Korea
1Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02115, USA
2Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115, USA
3Whitehead Institute for Biomedical Research, 9 Cambridge Center, Cambridge, MA 02142, USA
4Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
5Blais Proteomics Center, Dana-Farber Cancer Institute, Boston, MA 02115, USA
6Department of Medicine Massachusetts General Hospital Cancer Center and Harvard Medical School, Charlestown, MA 02129, USA
7Broad Institute of MIT and Harvard, 7 Cambridge Center, Cambridge, MA 02142, USA
8Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02115, USA
9Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
10Terry Fox Laboratory, British Columbia Cancer Agency, Vancouver, British Columbia, Canada
11Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA
12Cancer Science Institute of Singapore, National University of Singapore, Singapore 117599
13Chemical Kinomics Research Center, Korea Institute of Science and Technology, 39-1, Hawolgok-dong, Seongbuk-gu, Seoul, 136-791, Korea/ KU-KIST Graduate School of Converging Science and Technology, 145, Anam-ro, Seoul, Korea
14Daegu-Gyeongbuk Medical Innovation Foundation, 2387 dalgubeol-daero, Suseong-gu, Daegu, 706-010, Korea
18Division of Hematology/Oncology, Children’s Hospital, Boston, MA 02115 USA
✉
Correspondence and requests for materials should be addressed to N.S.G. (nathanael_gray@dfci.harvard.edu) or R.A.Y. (young@wi.mit.edu)
The publisher's version of this article is available at Nature
Abstract
Tumor oncogenes include transcription factors that co-opt the general transcriptional machinery to sustain the oncogenic state1, but direct pharmacological inhibition of transcription factors has thus far proven difficult2. However, the transcriptional machinery contains various enzymatic co-factors that can be targeted for development of new therapeutic candidates3, including cyclin-dependent kinases (CDKs)4. Here we present the discovery and characterization of the first covalent CDK7 inhibitor, THZ1, which has the unprecedented ability to target a remote cysteine residue located outside of the canonical kinase domain, providing an unanticipated means of achieving selectivity for CDK7. Cancer cell line profiling indicates that a subset of cancer cell lines, including T-ALL, exhibit exceptional sensitivity to THZ1. Genome-wide analysis in Jurkat T-ALL shows that THZ1 disproportionally affects transcription of RUNX1 and suggests that sensitivity to THZ1 may be due to vulnerability conferred by the RUNX1 super-enhancer and this transcription factor’s key role in the core transcriptional regulatory circuitry of these tumor cells. Pharmacological modulation of CDK7 kinase activity may thus provide an approach to identify and treat tumor types exhibiting extreme dependencies on transcription for maintenance of the oncogenic state.
In an effort to discover new inhibitors of kinases that regulate gene transcription, we performed cell-based screening and kinase selectivity profiling of a library of known and novel ATP-site directed kinase inhibitors (See Supplementary Table 1 for known CDK7 inhibitors). We identified THZ1 (Fig. 1a), a phenylaminopyrimidine bearing a potentially cysteine-reactive acrylamide moiety, as a low nanomolar inhibitor of cell proliferation and biochemical CDK7 activity (Fig. 1b, c). To investigate the functional relevance of the acrylamide moiety we prepared a non-cysteine reactive analog THZ1-R, which displayed diminished activity for CDK7andreduced anti proliferative potency (Fig. 1b, c). KiNativ™ profiling5, which measures the ability of a compound to block nucleotide-dependent enzymes from biotinylation with a reactive desthiobiotin-ATP probe, established CDK7 as the primary intracellular target of THZ1, but not of THZ1-R (Supplementary Table 2). Kinome-wide profiling identified additional kinase targets of THZ1; however, we confirmed CDK7 as the only target displaying time-dependent inhibition, which is suggestive of covalent binding (Extended Data Fig. 1a–c and Supplementary Table 3).
As no covalent inhibitors of CDKs have been reported, we next focused our studies on the mechanism by which THZ1 could achieve covalent inhibition of CDK7. We first incubated recombinant CDK7/cyclin H/MAT1 trimeric complex with a biotinylated version of THZ1 (bio-THZ1, Fig. 1a) and demonstrated that it indeed covalently modifies CDK7 (Fig. 2a; Extended Data Fig. 1d–g). Mass spectrometry identified the site of covalent modification as C312, a residue located outside the kinase domain (Extended Data Fig. 2a–d). Inspection of the crystal structure reveals that a C-terminal extension of CDK7 bearing C312 traverses the ATP cleft in the kinase domain and would be predicted to position Cys312 directly adjacent to the reactive acrylamide moiety of THZ1 (Fig. 2b). Mutation to serine (C312S), a less nucleophilic amino acid, prevented THZ1 from covalently binding to CDK7 and from inhibiting CDK7 activity in an irreversible fashion (Fig. 2c; Extended Data Fig. 2e). Sequence alignment of the 20-member CDK family suggests that Cys312 is unique to CDK7, however CDK12 and CDK13 also possess accessible cysteines within 4 amino acids of Cys312 (Extended Data Fig. 3a). Indeed, we found that THZ1 can inhibit CDK12 kinase activity at slightly higher concentrations (Extended Data Fig. 3b–f). THZ1 is the first inhibitor demonstrated to target a cysteine located outside of the kinase domain, which provides an unanticipated means of achieving covalent selectivity.
CDK7 kinase activity has been implicated in the regulation of both transcription, where it phosphorylates the C-terminal domain (CTD) of RNAP polymerase II (RNAPII)6–8 and CDK99, and the cell cycle, where it functions as the CDK-activating kinase (CAK) for CDKs1/2/4/610–14. THZ1, but not THZ1-R, completely inhibits the phosphorylation of the established intracellular CDK7 substrate RNAPII CTD at Ser-5 and Ser-76,8, with concurrent loss of Ser-2 phosphorylation at 250 nM in Jurkat cells (Fig. 2d). Cellular washout experiments demonstrate that THZ1 indeed acts in an irreversible fashion (Fig. 2e, f; Extended Data Fig. 4a–e). We observed a loss of CAK activity, as evidenced by decreased phosphorylation of the activation loops of CDK1,2 and 9, indicating disruption of both recognized CDK7 signaling pathways in Jurkat cells (Fig. 2d; Extended Data Fig. 4f, g) and Loucy cell lines (Extended Data Fig. 4). Ectopic expression of dox-inducible FLAG-CDK7 C312S, but not FLAG-CDK7 WT, in Hela S3 cells restored RNAPII CTD p-Ser 5/7 to near WT levels at concentrations of THZ1 up to 2.5 µM, establishing C312 as a critical determinant of the cellular pharmacology of the inhibitor (Extended Data Fig. 5a–b). Additionally, FLAG-CDK7 C312S expression restored CDK1/2 T-loop phosphorylation, reduced early induction of cleaved PARP and restored the expression of a subset of genes, including the highly –expressed transcription factors MYC, KLF4, ID1, and GATA2 (Extended Data Fig. 5c–e). The partial rescues of the hyperphosphorylated form of RNAPII (RNAPII0) and RNAPII p-Ser2 CTD phosphorylation combined with the incomplete restoration of gene expression may result, in part, from lower affinity cross-reactivity of THZ1 with CDK12/13, which are bona fide Ser2 kinases15.
Our evidence that CDK7 inhibition leads to reduction in RNAPII CTD phosphorylation status appears in conflict with evidence that inhibition of CDK7 alone is insufficient to reduce RNAPII CTD phosphorylation in HCT116 cells9. It is possible that covalent inhibition and reversible inhibition can engender different effects on kinase structure; we did not find evidence that THZ1 impacts TFIIH or CAK complex stability (Extended Data Fig. 4h). It is also possible that inhibition of CDK12/13 (or another undetected kinase) contributes to reduced RNAPII CTD phosphorylation, although our evidence that RNAPII CTD phosphorylation levels are restored following expression of CDK7 C312S suggests otherwise.
To better understand the breadth of antiproliferative activity of THZ1, we screened it against a diverse panel of over 1,000 cancer cell lines16. THZ1 displayed broad-based activity with IC50s less than 200 nM against 53% of the cell lines tested (Fig. 3a; Supplementary Table 4). Elastic net regression analysis incorporating gene expression, copy number, and sequence variation genomics data16 across 527 of the cell lines tested were used to identify genomic features common to sensitive cell lines. Gene ontology (GO) term enrichment analysis17 indicated a strong enrichment of (proto-) oncogenic transcription factors commonly overexpressed in cancer and factors involved in RNAPII-driven transcriptional regulation, suggesting the dominant activity of THZ1 was through modulation of transcription (Fig. 3b; Supplementary Table 5).
In agreement with the net elastic regression analysis, T-ALL cell lines that display characteristic misregulation of T-cell lineage-specific transcription factors, were broadly sensitive to THZ1, but not THZ1-R (Fig. 3c; Extended Data Fig. 6a and Supplementary Table 4). Treatment of T-ALL cell lines with THZ1 caused decreased cellular proliferation and an increase in apoptotic index with concomitant reduction in anti-apoptotic proteins, most notably MCL-1 and XIAP (Extended Data Fig. 6, 7). These strong anti proliferative responses induced at sub-effective doses of THZ1 suggest that these cells may be particularly sensitive to small perturbations in transcription and CDK7 kinase function. Indeed, THZ1 demonstrated efficacy against primary leukemia cells and in a bioluminescent xenografted model using the human T-ALL cell line, KOPTK1, when dosed twice daily (BID) at 10 mg/kg (Fig. 3d, e; Extended Data Fig. 8 and Supplementary Table 6). Importantly, THZ1 was well tolerated at these doses with no observable body weight loss or behavioral changes (Extended Data Fig. 8f), suggesting no overt toxicity to the animals. These results were mirrored in cell culture with non-transformed BJ fibroblast and retinal pigment epithelial (RPE-1) cells responding to relatively high doses of THZ1 by undergoing cell cycle arrest rather than initiating apoptosis or cell death, further suggesting that normal cells might tolerate transcriptional disruption (Extended Data Fig. 9).
CDK7 is a component of the general transcription factor IIH (TFIIH) complex18–20, so we next investigated how THZ1 treatment affects genome-wide gene expression. We chose Jurkat T-ALL for these studies because it a well-studied T-ALL cell line model with a defined core transcriptional regulatory circuitry, consisting of key transcription factors, which is also found in human T-ALL primagrafts21. Treatment with 250 nM THZ1, but not THZ1-R, led to progressive reduction in global steady-state mRNA levels over time, with 75% and 96% of mRNAs showing greater than 2-fold reduction by 6 and 12 hrs, respectively (Fig. 4a, Extended Data Fig. 10a and Supplementary Table 7). Consistent with global downregulation of mRNA transcripts, 250 nM THZ1 reduced RNAPII occupancy genome-wide at both promoters and gene bodies (Fig. 4b). By comparison, Flavopiridol reduced RNAPII density across only gene bodies (Fig. 4b). This is consistent with the model that CDK7 regulates RNAPII initiation and pausing while CDK9 regulates pause release leading to processive elongation8,9,18–20,22–24.
Although 250 nM THZ1 inhibits global transcription, we found that some cancer cell lines, particularly T-ALL, are sensitive to considerably lower concentrations of THZ1. We postulated that the expression of certain genes might be especially sensitive to low doses of THZ1 and therefore have a key role in driving the cellular response. Indeed, we found that transcripts for only a subset of genes were substantially affected by treatment with 50 nM THZ1, with that for RUNX1 among the most profoundly affected (Fig. 4c). There are at least two reasons that low dose THZ1 treatment might cause a preferential loss of RUNX1 expression. Tumor cell oncogenes can acquire super-enhancers, which drive high-level expression yet can be especially sensitive to perturbation25–28. Super-enhancer analysis in Jurkat cells revealed that RUNX1 contains an exceptionally large super-enhancer domain containing a previously described hematopoietic cell –specific enhancer (Fig. 4d; Extended Data Fig. 10b–d and Supplementary Table 8)29. In addition, RUNX1 forms a core regulatory circuitry with two additional transcription factors that play prominent roles in leukemia biology, TAL1 and GATA3 (Fig. 4e)21. These factors auto regulate their own gene expression while simultaneously regulating many other genes that comprise the active gene expression program of Jurkat cells. Treatment with 50 nM THZ 1l ed to significant reduction in both the transcript and protein levels of RUNX1, TAL1, and GATA3 (Extended Data Fig. 10e and f). Loss of the RUNX1 driven transcriptional program is likely key to the response to low dose THZ1 treatment, as gene set enrichment analysis revealed that the Jurkat transcripts downregulated by 50 nM THZ1 were enriched in transcripts similarly downregulated following RUNX1 depletion using shRNA (Fig. 4f).
Here we have reported the discovery and characterization of the first covalent inhibitor of CDK7, THZ1. THZ1 employs a unique mechanism, combining ATP-site and allosteric covalent binding, as means of attaining potency and selectivity for CDK7. This mechanistic insight should be useful for designing next generation inhibitors of CDKs, where high sequence and shape homology in the ATP pocket has posed a formidable challenge to achieving selectivity with conventional ATP-competitive inhibitors. THZ1 displayed exquisite anti proliferative activity for T-ALL cell lines and other blood cancers, where oncogenic transcription factors feature prominently in the disease state.
In Jurkat cells, low dose THZ1 had a profound effect on a small subset of genes, including the key regulator RUNX1, thus contributing to subsequent loss of the greater gene expression program and cell death. Identification of additional cancer cell lines whose gene expression programs display vulnerability to THZ1 or other transcriptional inhibitors should delineate additional cancers that are exquisitely susceptible to perturbation of transcription.
Methods Summary
T-ALL culture conditions
Jurkat, Loucy, KOPTK1, and DND-41 cell lines were grown in RPMI-1640 supplemented with 10% fetal bovine serum and 1% glutamine. All cell lines were cultured at 37°C in a humidified chamber in the presence of 5% CO2, unless otherwise noted.
Inhibitor treatment experiments
Time-course experiments such as those described in Extended Data Fig. 5a were conducted to determine the minimal time required for full inactivation of CDK7. Cells were treated with THZ1, THZ1-R, or DMSO for 0–6 hrs to assess the effect of time on the THZ1 –mediated inhibition of RNAPII CTD phosphorylation. For subsequent experiments cells were treated with compounds for 4 hrs as determined by time-course experiment described above, unless otherwise noted. For inhibitor washout experiments (Fig. 2e, f; Extended Data Fig. 5) cells were treated with THZ1, THZ1-R, or DMSO for 4 hrs. Medium containing inhibitors was subsequently removed to effectively ‘washout’ the compound and the cells were allowed to grow in the absence of inhibitor. For each experiment, lysates were probed for RNAPII CTD phosphorylation and other specified proteins.
High-throughput cell line panel viability assay
Cells were seeded in 384-well microplates at ~15% confluency in medium with 5% FBS and penicillin/streptavidin. Cells were treated with THZ1 or DMSO for 72 hrs and cell viability was determined using resazurin.
RNA Extraction and Synthetic RNA Spike-In
Total RNA and sample preparation was performed as previously described30. Briefly, following inhibitor treatment cell number was determined, total RNA was isolated, and ERCC RNA Spike-In Mix (Ambion, cat# 4456740) was added to total RNA relative to cell number.
data set 2. Supplementary Table 2 | KiNativ™ kinome profiling identifies CDK7 as a target of phenylamino-pyrimidine-based compounds.
Loucy cells were treated with DMSO, THZ1 (1 µM), or THZ1-R (1 µM) for 4 hrs. PBS-washed cell pellets were flash frozen and subjected to KiNativ™ kinome profiling at ActivX Biosciences, Inc. according to their specifications using their desthiobiotin-ATP probe. Peptide sequences shown above belong to the indicated kinase(s) and were detected by mass spectrometry (MS) under DMSO control conditions following enrichment for biotinylated proteins by streptavidin pull down and subsequent proteolysis. Kinases labeled by the reactive desthiobiotin-ATP probe indicate that the kinase was accessible to desthiobiotin-ATP probe binding. Results shown are normalized to these paired DMSO controls and numbers represent the percentage (compared to DMSO control) of MS signal lost for sequences of an indicated kinase, eg – numbers approaching 100% indicate that test compound effectively out-competed the desthiobiotin ATP probe for binding to the kinase, resulting in decreased labeling and enrichment for peptides representing this kinase.
data set 3. Supplementary Table 3 | THZ1 displays time-dependent inactivation of recombinant CDK7.
CDK7 is inhibited in a time-dependent manner. KD values were determined at three different time points (20, 60, and 180 minutes) for THZ1 and THZ1-R using the LanthaScreen® Eu Kinase Binding Assay for each individual kinase according to the manufacturer’s specifications. The ratio of the KD values generated at 20 and 180 minutes was used to assess whether kinases displayed time-dependent inactivation.
data set 4. Supplementary Table 4 | THZ1 displays broad-based antiproliferative activity against cancer cell lines.
THZ1 exhibits strong antiproliferative effects across a broad range of cancer cell lines from various cancer types including blood cancers. Cancer cells were treated with THZ1 or DMSO vehicle for 72 hrs and assessed for antiproliferative effect using resazurin.
data set 5. Supplementary Table 5 | Genomic features identified as predictors of response to CDK-7-IN-1 by elastic net regression.
IC50 data was used to identify genomic features across 527 number of cell lines with available genomic data (mRNA, copy number variations and mutational data). For each gene association the frequency and the magnitude of the effect of the interaction are presented. Negative effects correspond to sensitivity features (for gene expression, high expression in sensitive cell lines for mutation presence of the mutation in sensitive cell lines). Functional enrichment analysis of the genomic features identified by elastic net regression. The functional enrichment tool (DAVID) from the National Institute of Allergy and Infectious Diseases was used to identify functional classes of genes enriched in the elastic net output.
data set 7. Supplementary Table 7 | Gene expression tables.
Spike-in normalized mean Log2 treatment microarray expression grouped with corresponding DMSO or untreated controls and corresponding treatment-vs.-DMSO fold-changes.
data set 8. Supplementary Table 8 | Super-enhancer identification and gene assignment.
Total H3K27Ac ChIP-seq signal (length * density) and Input DNA control signal in all stitched enhancers in Jurkat. Enhancers are ranked by increasing Input-subtracted H3K27Ac ChIPseq signal. Super-enhancers were assigned to the RefSeq transcript whose TSS falls nearest to the center of the super-enhancer.
We thank members of the Gray and Young laboratories for helpful discussions. D. Orlando, L. Lawton, and L. Anders for advice. C. Thoreen and D. Sabatini as well as S. Cheng and G. Morin for reagents. We thank K. Jones and N. Kohl in the Lurie Family Imaging Center at DFCI for performing mouse studies and K. Jones and C. Christensen for prepping mouse tissues. We thank S. Riddle at Life Technologies for performing Lanthascreen kinase assays. This work was supported by the National Institutes of Health (R01 CA130876-04 and U54 HG006097-02 N.S.G.; CA178860-01 and P01 NS047572-10 J.A.M.), and the American Cancer Society Postdoctoral Fellowship 120272-PF-11-042-01-DMC (P.B.R.).
Footnotes
Supplementary Information is linked to the online version of the paper at www.nature.com/nature.
Author Contributions: N.S.G., N.K., and T.Z. conceived the project. N.S.G. and T.Z. conceived and directed chemistry effort with input from T.S.11. T.Z. performed chemical synthesis and small molecule structure determination. R.A.Y., N.S.G., P.B.R., and N.K. conceived genomics effort. N.K., P.B.R., J.R.B., C.H.B., N.S.G., and R.A.Y. designed biological experimental research with input from J.R., B.J.A., D.M., T.S.9,10, T.L., A.P.W. and C.M. N.K., P.B.R., J.R., A.D., B.T., C.R.J., and N.M.H performed experimental biological research. S.B.F. designed and performed protein mass spectrometry on THZ1/ CDK7 adducts with input from J.A.M. S.R. and A.A. performed elastic net regression analysis. N.D.K. performed molecular modeling studies with input from T.S.11 B.J.A. designed and performed genomics data analyses. N.K., N.S.G. and R.A.Y. co-wrote the paper. All authors edited the manuscript. N.K. and T.Z. contributed equally to this work.
The authors declare the following competing interests N.S.G, T.Z., N.K. are inventors on a patent application covering THZ1 which is licensed to a company co-founded by N.S.G and R.A.Y.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
data set 2. Supplementary Table 2 | KiNativ™ kinome profiling identifies CDK7 as a target of phenylamino-pyrimidine-based compounds.
Loucy cells were treated with DMSO, THZ1 (1 µM), or THZ1-R (1 µM) for 4 hrs. PBS-washed cell pellets were flash frozen and subjected to KiNativ™ kinome profiling at ActivX Biosciences, Inc. according to their specifications using their desthiobiotin-ATP probe. Peptide sequences shown above belong to the indicated kinase(s) and were detected by mass spectrometry (MS) under DMSO control conditions following enrichment for biotinylated proteins by streptavidin pull down and subsequent proteolysis. Kinases labeled by the reactive desthiobiotin-ATP probe indicate that the kinase was accessible to desthiobiotin-ATP probe binding. Results shown are normalized to these paired DMSO controls and numbers represent the percentage (compared to DMSO control) of MS signal lost for sequences of an indicated kinase, eg – numbers approaching 100% indicate that test compound effectively out-competed the desthiobiotin ATP probe for binding to the kinase, resulting in decreased labeling and enrichment for peptides representing this kinase.
data set 3. Supplementary Table 3 | THZ1 displays time-dependent inactivation of recombinant CDK7.
CDK7 is inhibited in a time-dependent manner. KD values were determined at three different time points (20, 60, and 180 minutes) for THZ1 and THZ1-R using the LanthaScreen® Eu Kinase Binding Assay for each individual kinase according to the manufacturer’s specifications. The ratio of the KD values generated at 20 and 180 minutes was used to assess whether kinases displayed time-dependent inactivation.
data set 4. Supplementary Table 4 | THZ1 displays broad-based antiproliferative activity against cancer cell lines.
THZ1 exhibits strong antiproliferative effects across a broad range of cancer cell lines from various cancer types including blood cancers. Cancer cells were treated with THZ1 or DMSO vehicle for 72 hrs and assessed for antiproliferative effect using resazurin.
data set 5. Supplementary Table 5 | Genomic features identified as predictors of response to CDK-7-IN-1 by elastic net regression.
IC50 data was used to identify genomic features across 527 number of cell lines with available genomic data (mRNA, copy number variations and mutational data). For each gene association the frequency and the magnitude of the effect of the interaction are presented. Negative effects correspond to sensitivity features (for gene expression, high expression in sensitive cell lines for mutation presence of the mutation in sensitive cell lines). Functional enrichment analysis of the genomic features identified by elastic net regression. The functional enrichment tool (DAVID) from the National Institute of Allergy and Infectious Diseases was used to identify functional classes of genes enriched in the elastic net output.
data set 7. Supplementary Table 7 | Gene expression tables.
Spike-in normalized mean Log2 treatment microarray expression grouped with corresponding DMSO or untreated controls and corresponding treatment-vs.-DMSO fold-changes.
data set 8. Supplementary Table 8 | Super-enhancer identification and gene assignment.
Total H3K27Ac ChIP-seq signal (length * density) and Input DNA control signal in all stitched enhancers in Jurkat. Enhancers are ranked by increasing Input-subtracted H3K27Ac ChIPseq signal. Super-enhancers were assigned to the RefSeq transcript whose TSS falls nearest to the center of the super-enhancer.