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CDK7 Inhibition Suppresses Castration-Resistant Prostate Cancer through MED1 Inactivation.

Reyaz Ur RasoolRamakrishnan NatesanQu DengShweta ArasPriti LalSamuel Sander EffronErick Mitchell-VelasquezJessica M PosimoShannon CarskadonSylvan C BacaMark M PomerantzJaved SiddiquiLauren E SchwartzDaniel J LeeNallasivam PalanisamyGoutham NarlaRobert B DenMatthew L FreedmanDonita C BradyIrfan A Asangani
Published in: Cancer discovery (2019)
Metastatic castration-resistant prostate cancer (CRPC) is a fatal disease, primarily resulting from the transcriptional addiction driven by androgen receptor (AR). First-line CRPC treatments typically target AR signaling, but are rapidly bypassed, resulting in only a modest survival benefit with antiandrogens. Therapeutic approaches that more effectively block the AR-transcriptional axis are urgently needed. Here, we investigated the molecular mechanism underlying the association between the transcriptional coactivator MED1 and AR as a vulnerability in AR-driven CRPC. MED1 undergoes CDK7-dependent phosphorylation at T1457 and physically engages AR at superenhancer sites, and is essential for AR-mediated transcription. In addition, a CDK7-specific inhibitor, THZ1, blunts AR-dependent neoplastic growth by blocking AR/MED1 corecruitment genome-wide, as well as reverses the hyperphosphorylated MED1-associated enzalutamide-resistant phenotype. In vivo, THZ1 induces tumor regression of AR-amplified human CRPC in a xenograft mouse model. Together, we demonstrate that CDK7 inhibition selectively targets MED1-mediated, AR-dependent oncogenic transcriptional amplification, thus representing a potential new approach for the treatment of CRPC. SIGNIFICANCE: Potent inhibition of AR signaling is critical to treat CRPC. This study uncovers a driver role for CDK7 in regulating AR-mediated transcription through phosphorylation of MED1, thus revealing a therapeutically targetable potential vulnerability in AR-addicted CRPC.See related commentary by Russo et al., p. 1490.This article is highlighted in the In This Issue feature, p. 1469.
Keyphrases
  • cell cycle
  • gene expression
  • prostate cancer
  • genome wide
  • squamous cell carcinoma
  • climate change
  • machine learning
  • endothelial cells
  • oxidative stress
  • signaling pathway
  • high resolution
  • anti inflammatory
  • label free