Comprehensive targeting of resistance to inhibition of RTK signaling pathways by using glucocorticoids
Ke Gong,
Gao Guo,
Nicole A. Beckley,
Xiaoyao Yang,
Yue Zhang,
David E. Gerber,
John D. Minna,
Sandeep Burma,
Dawen Zhao,
Esra A. Akbay and
Amyn A. Habib ()
Additional contact information
Ke Gong: University of Texas Southwestern Medical Center
Gao Guo: University of Texas Southwestern Medical Center
Nicole A. Beckley: University of Texas Southwestern Medical Center
Xiaoyao Yang: University of Texas Southwestern Medical Center
Yue Zhang: University of Texas Southwestern Medical Center
David E. Gerber: University of Texas Southwestern Medical Center
John D. Minna: University of Texas Southwestern Medical Center
Sandeep Burma: University of Texas Health San Antonio
Dawen Zhao: Wake Forest School of Medicine
Esra A. Akbay: University of Texas Southwestern Medical Center
Amyn A. Habib: University of Texas Southwestern Medical Center
Nature Communications, 2021, vol. 12, issue 1, 1-17
Abstract:
Abstract Inhibition of RTK pathways in cancer triggers an adaptive response that promotes therapeutic resistance. Because the adaptive response is multifaceted, the optimal approach to blunting it remains undetermined. TNF upregulation is a biologically significant response to EGFR inhibition in NSCLC. Here, we compared a specific TNF inhibitor (etanercept) to thalidomide and prednisone, two drugs that block TNF and also other inflammatory pathways. Prednisone is significantly more effective in suppressing EGFR inhibition-induced inflammatory signals. Remarkably, prednisone induces a shutdown of bypass RTK signaling and inhibits key resistance signals such as STAT3, YAP and TNF-NF-κB. Combined with EGFR inhibition, prednisone is significantly superior to etanercept or thalidomide in durably suppressing tumor growth in multiple mouse models, indicating that a broad suppression of adaptive signals is more effective than blocking a single component. We identify prednisone as a drug that can effectively inhibit adaptive resistance with acceptable toxicity in NSCLC and other cancers.
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.nature.com/articles/s41467-021-27276-7 Abstract (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-27276-7
Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/
DOI: 10.1038/s41467-021-27276-7
Access Statistics for this article
Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie
More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().