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Multiomic profiling of breast cancer cells uncovers stress MAPK-associated sensitivity to AKT degradation

  • Emily C. Erickson
  • , Inchul You
  • , Grace Perry
  • , Aurelien Dugourd
  • , Katherine A. Donovan
  • , Claire Crafter
  • , Jeffrey W. Johannes
  • , Stuart Williamson
  • , Jennifer I. Moss
  • , Susana Ros
  • , Robert E. Ziegler
  • , Simon T. Barry
  • , Eric S. Fischer
  • , Nathanael S. Gray
  • , Ralitsa R. Madsen (Lead / Corresponding author)
  • , Alex Toker (Lead / Corresponding author)

Research output: Contribution to journalArticlepeer-review

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Abstract

More than 50% of human tumors display hyperactivation of the serine/threonine kinase AKT. Despite evidence of clinical efficacy, the therapeutic window of the current generation of AKT inhibitors could be improved. Here, we report the development of a second-generation AKT degrader, INY-05-040, which outperformed catalytic AKT inhibition with respect to cellular suppression of AKT-dependent phenotypes in breast cancer cell lines. A growth inhibition screen with 288 cancer cell lines confirmed that INY-05-040 had a substantially higher potency than our first-generation AKT degrader (INY-03-041), with both compounds outperforming catalytic AKT inhibition by GDC-0068. Using multiomic profiling and causal network integration in breast cancer cells, we demonstrated that the enhanced efficacy of INY-05-040 was associated with sustained suppression of AKT signaling, which was followed by induction of the stress mitogen-activated protein kinase (MAPK) c-Jun N-terminal kinase (JNK). Further integration of growth inhibition assays with publicly available transcriptomic, proteomic, and reverse phase protein array (RPPA) measurements established low basal JNK signaling as a biomarker for breast cancer sensitivity to AKT degradation. Together, our study presents a framework for mapping the network-wide signaling effects of therapeutically relevant compounds and identifies INY-05-040 as a potent pharmacological suppressor of AKT signaling.
Original languageEnglish
JournalScience Signaling
Volume17
Issue number825
DOIs
Publication statusPublished - 27 Feb 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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