Author
Listed:
- Tara Gelb
(National Institutes of Health)
- Khalid A. Garman
(National Institutes of Health)
- Daniel Urban
(National Institutes of Health)
- Amy Coxon
(National Institutes of Health)
- Berkley Gryder
(National Institutes of Health
Case Western Reserve University School of Medicine)
- Natasha T. Hill
(National Institutes of Health)
- Lingling Miao
(National Institutes of Health)
- Tobie Lee
(National Institutes of Health)
- Olivia Lee
(National Institutes of Health)
- Sirisha Chakka
(National Institutes of Health)
- John Braisted
(National Institutes of Health)
- Jordan E. Jarvis
(National Institutes of Health)
- Rachael Glavin
(National Institutes of Health)
- Trisha S. Raj
(National Institutes of Health)
- Ying Xiao
(National Institutes of Health)
- Simone Difilippantonio
(Frederick National Laboratory for Cancer Research)
- Amy Q. Wang
(National Institutes of Health)
- Min Shen
(National Institutes of Health)
- Ken Chih-Chien Cheng
(National Institutes of Health)
- Madhu Lal-Nag
(National Institutes of Health)
- Matthew D. Hall
(National Institutes of Health)
- Isaac Brownell
(National Institutes of Health)
Abstract
Merkel cell carcinoma (MCC) is a rare, aggressive skin cancer. Most MCCs contain Merkel cell polyomavirus (virus-positive MCC; VP-MCC), and the remaining are virus-negative (VN-MCC). Immune checkpoint inhibitors are the first-line treatment for metastatic MCC, but durable responses are achieved in less than 50% of patients. To identify new treatments, we screen ~4,000 compounds for their ability to reduce MCC viability and demonstrate that VP-MCC and VN-MCC exhibit distinct response profiles. Aurora kinase inhibitors selectively reduce VP-MCC viability, with RNAi screening independently identifying AURKB as an essential gene for MCC survival, especially in VP-MCC. AZD2811, a selective AURKB inhibitor, induces mitotic dysregulation and apoptosis in MCC cells, with greater efficacy in VP-MCC. In mice, AZD2811 nanoparticles inhibit tumor growth and increase survival in both VP-MCC and VN-MCC xenograft models. Overall, our unbiased screens identify AURKB as a promising therapeutic target and AZD2811NP as a potential treatment for MCC.
Suggested Citation
Tara Gelb & Khalid A. Garman & Daniel Urban & Amy Coxon & Berkley Gryder & Natasha T. Hill & Lingling Miao & Tobie Lee & Olivia Lee & Sirisha Chakka & John Braisted & Jordan E. Jarvis & Rachael Glavin, 2025.
"High-throughput screening identifies Aurora kinase B as a critical therapeutic target for Merkel cell carcinoma,"
Nature Communications, Nature, vol. 16(1), pages 1-15, December.
Handle:
RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-56504-7
DOI: 10.1038/s41467-025-56504-7
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-56504-7. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.