IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v12y2021i1d10.1038_s41467-021-27276-7.html
   My bibliography  Save this article

Comprehensive targeting of resistance to inhibition of RTK signaling pathways by using glucocorticoids

Author

Listed:
  • Ke Gong

    (University of Texas Southwestern Medical Center
    Wuhan University)

  • 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
    University of Texas Southwestern Medical Center
    University of Texas Southwestern Medical Center)

  • John D. Minna

    (University of Texas Southwestern Medical Center
    University of Texas Southwestern Medical Center)

  • Sandeep Burma

    (University of Texas Health San Antonio
    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
    University of Texas Southwestern Medical Center
    VA North Texas Health Care System)

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.

Suggested Citation

  • Ke Gong & Gao Guo & Nicole A. Beckley & Xiaoyao Yang & Yue Zhang & David E. Gerber & John D. Minna & Sandeep Burma & Dawen Zhao & Esra A. Akbay & Amyn A. Habib, 2021. "Comprehensive targeting of resistance to inhibition of RTK signaling pathways by using glucocorticoids," Nature Communications, Nature, vol. 12(1), pages 1-17, December.
  • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-27276-7
    DOI: 10.1038/s41467-021-27276-7
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-021-27276-7
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-021-27276-7?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Anirudh Prahallad & Chong Sun & Sidong Huang & Federica Di Nicolantonio & Ramon Salazar & Davide Zecchin & Roderick L. Beijersbergen & Alberto Bardelli & René Bernards, 2012. "Unresponsiveness of colon cancer to BRAF(V600E) inhibition through feedback activation of EGFR," Nature, Nature, vol. 483(7387), pages 100-103, March.
    2. Timothy R. Wilson & Jane Fridlyand & Yibing Yan & Elicia Penuel & Luciana Burton & Emily Chan & Jing Peng & Eva Lin & Yulei Wang & Jeff Sosman & Antoni Ribas & Jiang Li & John Moffat & Daniel P. Suthe, 2012. "Widespread potential for growth-factor-driven resistance to anticancer kinase inhibitors," Nature, Nature, vol. 487(7408), pages 505-509, July.
    3. Rui Hou & Elena Denisenko & Huan Ting Ong & Jordan A. Ramilowski & Alistair R. R. Forrest, 2020. "Predicting cell-to-cell communication networks using NATMI," Nature Communications, Nature, vol. 11(1), pages 1-11, December.
    4. Sharmistha Chakraborty & Li Li & Vineshkumar Thidil Puliyappadamba & Gao Guo & Kimmo J. Hatanpaa & Bruce Mickey & Rhonda F. Souza & Peggy Vo & Joachim Herz & Mei-Ru Chen & David A. Boothman & Tej K. P, 2014. "Constitutive and ligand-induced EGFR signalling triggers distinct and mutually exclusive downstream signalling networks," Nature Communications, Nature, vol. 5(1), pages 1-15, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mathurin Dorel & Bertram Klinger & Tommaso Mari & Joern Toedling & Eric Blanc & Clemens Messerschmidt & Michal Nadler-Holly & Matthias Ziehm & Anja Sieber & Falk Hertwig & Dieter Beule & Angelika Egge, 2021. "Neuroblastoma signalling models unveil combination therapies targeting feedback-mediated resistance," PLOS Computational Biology, Public Library of Science, vol. 17(11), pages 1-26, November.
    2. Magnus Zethoven & Luciano Martelotto & Andrew Pattison & Blake Bowen & Shiva Balachander & Aidan Flynn & Fernando J. Rossello & Annette Hogg & Julie A. Miller & Zdenek Frysak & Sean Grimmond & Lauren , 2022. "Single-nuclei and bulk-tissue gene-expression analysis of pheochromocytoma and paraganglioma links disease subtypes with tumor microenvironment," Nature Communications, Nature, vol. 13(1), pages 1-18, December.
    3. Gholamreza Safaee Ardekani & Seyed Mehdi Jafarnejad & Larry Tan & Ardavan Saeedi & Gang Li, 2012. "The Prognostic Value of BRAF Mutation in Colorectal Cancer and Melanoma: A Systematic Review and Meta-Analysis," PLOS ONE, Public Library of Science, vol. 7(10), pages 1-10, October.
    4. Daniel Dimitrov & Dénes Türei & Martin Garrido-Rodriguez & Paul L. Burmedi & James S. Nagai & Charlotte Boys & Ricardo O. Ramirez Flores & Hyojin Kim & Bence Szalai & Ivan G. Costa & Alberto Valdeoliv, 2022. "Comparison of methods and resources for cell-cell communication inference from single-cell RNA-Seq data," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    5. Hui Deng & Qian Lei & Chengdi Wang & Zhoufeng Wang & Hai Chen & Gang Wang & Na Yang & Dan Huang & Quanwei Yu & Mengling Yao & Xue Xiao & Guonian Zhu & Cheng Cheng & Yangqian Li & Feng Li & Panwen Tian, 2022. "A fluorogenic probe for predicting treatment response in non-small cell lung cancer with EGFR-activating mutations," Nature Communications, Nature, vol. 13(1), pages 1-19, December.
    6. Duy Pham & Xiao Tan & Brad Balderson & Jun Xu & Laura F. Grice & Sohye Yoon & Emily F. Willis & Minh Tran & Pui Yeng Lam & Arti Raghubar & Priyakshi Kalita-de Croft & Sunil Lakhani & Jana Vukovic & Ma, 2023. "Robust mapping of spatiotemporal trajectories and cell–cell interactions in healthy and diseased tissues," Nature Communications, Nature, vol. 14(1), pages 1-25, December.
    7. Jiaxin Liang & Deyang Yu & Chi Luo & Christopher Bennett & Mark Jedrychowski & Steve P. Gygi & Hans R. Widlund & Pere Puigserver, 2023. "Epigenetic suppression of PGC1α (PPARGC1A) causes collateral sensitivity to HMGCR-inhibitors within BRAF-treatment resistant melanomas," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    8. Caitriona M. McEvoy & Julia M. Murphy & Lin Zhang & Sergi Clotet-Freixas & Jessica A. Mathews & James An & Mehran Karimzadeh & Delaram Pouyabahar & Shenghui Su & Olga Zaslaver & Hannes Röst & Rangi Ar, 2022. "Single-cell profiling of healthy human kidney reveals features of sex-based transcriptional programs and tissue-specific immunity," Nature Communications, Nature, vol. 13(1), pages 1-18, December.
    9. Michael T. H. Ng & Rowie Borst & Hamez Gacaferi & Sarah Davidson & Jessica E. Ackerman & Peter A. Johnson & Caio C. Machado & Ian Reekie & Moustafa Attar & Dylan Windell & Mariola Kurowska-Stolarska &, 2024. "A single cell atlas of frozen shoulder capsule identifies features associated with inflammatory fibrosis resolution," Nature Communications, Nature, vol. 15(1), pages 1-21, December.
    10. Xia, Min & Shao, Haidong & Williams, Darren & Lu, Siliang & Shu, Lei & de Silva, Clarence W., 2021. "Intelligent fault diagnosis of machinery using digital twin-assisted deep transfer learning," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    11. Yuan Yang & Ruizeng Luo & Shengyu Chao & Jiangtao Xue & Dongjie Jiang & Yun Hao Feng & Xin Dong Guo & Dan Luo & Jiaping Zhang & Zhou Li & Zhong Lin Wang, 2022. "Improved pharmacodynamics of epidermal growth factor via microneedles-based self-powered transcutaneous electrical stimulation," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    12. Jin Jin & Qianying Liu & Wei Zheng & Zhenming Shun & Tun Tun Lin & Lei Gao & Yingwen Dong, 2020. "A Bayesian Method for the Detection of Proof of Concept in Early Phase Oncology Studies with a Basket Design," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 12(2), pages 167-179, July.
    13. Erick Armingol & Hratch M. Baghdassarian & Cameron Martino & Araceli Perez-Lopez & Caitlin Aamodt & Rob Knight & Nathan E. Lewis, 2022. "Context-aware deconvolution of cell–cell communication with Tensor-cell2cell," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    14. Francesca Menghi & Edison T. Liu, 2022. "Functional genomics of complex cancer genomes," Nature Communications, Nature, vol. 13(1), pages 1-4, December.
    15. R. Sumanth Iyer & Sarah R. Needham & Ioannis Galdadas & Benjamin M. Davis & Selene K. Roberts & Rico C. H. Man & Laura C. Zanetti-Domingues & David T. Clarke & Gilbert O. Fruhwirth & Peter J. Parker &, 2024. "Drug-resistant EGFR mutations promote lung cancer by stabilizing interfaces in ligand-free kinase-active EGFR oligomers," Nature Communications, Nature, vol. 15(1), pages 1-21, December.
    16. Daniel E Carlin & Barry Demchak & Dexter Pratt & Eric Sage & Trey Ideker, 2017. "Network propagation in the cytoscape cyberinfrastructure," PLOS Computational Biology, Public Library of Science, vol. 13(10), pages 1-9, October.
    17. Elena Denisenko & Leanne Kock & Adeline Tan & Aaron B. Beasley & Maria Beilin & Matthew E. Jones & Rui Hou & Dáithí Ó Muirí & Sanela Bilic & G. Raj K. A. Mohan & Stuart Salfinger & Simon Fox & Khaing , 2024. "Spatial transcriptomics reveals discrete tumour microenvironments and autocrine loops within ovarian cancer subclones," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    18. Chunman Zuo & Junjie Xia & Luonan Chen, 2024. "Dissecting tumor microenvironment from spatially resolved transcriptomics data by heterogeneous graph learning," Nature Communications, Nature, vol. 15(1), pages 1-18, December.

    More about this item

    Statistics

    Access and download statistics

    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:12:y:2021:i:1:d:10.1038_s41467-021-27276-7. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.