Abstract B043: Dysregulated AKT signaling reprograms osteosarcoma to drive selective reliance on EP300

Abstract Cancer cells are highly dependent on the control of transcription for maintenance of the malignant cell state. EP300 and CBP are paralogous, commonly expressed, master epigenetic enzymes, whose activity controls normal and malignant transcription. Here, we perform an integrative chemical-genetic cancer-wide analysis, identifying that most cancer lineages, including osteosarcoma (OS), a highly lethal malignancy of bone, have enhanced dependency on EP300, compared with CBP. To take advantage of selective pharmacology targeting EP300 alone, which spares CBP in untransformed cells and thereby reduces toxicity, we used the EP300-targeted degrader JQAD1. A specific genetic subgroup of OS marked by dysregulation of the PIK3CA-AKT-mTOR pathway is genetically dependent on EP300 and uniquely sensitive to EP300 degradation. Expression of constituitively active AKT in insensitive OS cells induces sensitivity to JQAD1, driven by physical relocalization of EP300, CBP and H3K27ac to genetic subtype-enriched dependency loci. Mechanistically, combinations of AKT inhibitors and JQAD1 suppress the growth of AKT-dysregulated OS in vitro and in orthotopic xenografts. These observations extend across >850 cancer cell lines, where these agents positively combine in a manner mechanistically dependent on control of protein synthesis. These findings reveal genetic and transcriptional determinants of EP300 degrader function in high-risk OS and provide a foundation for biomarker-directed investigation of co-targeting of EP300 and AKT for therapeutic gain across cancers marked by enhanced protein translation. Citation Format: Ian Delahunty, Stephanie Nance, Yang Zhang, Francois Lamoureux, Qi Liu, Charlie Wright, Noha Shendy, Sandra Kietlinska, Barbara De Kegel, Matthew Rees, Anoop Kavirayani, Paris Prinsen, Yousef Khashana, Melissa Ronan, Jennifer Roth, Alejandro Sweet-Cordero, Lilly Guenther, Paul Geeleher, Ben Ory, Jun Qi, Brian Abraham, Adam Durbin. Dysregulated AKT signaling reprograms osteosarcoma to drive selective reliance on EP300 [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Discovery and Innovation in Pediatric Cancer— From Biology to Breakthrough Therapies; 2025 Sep 25-28; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2025;85(18_Suppl_2):Abstract nr B043.

Authors

Institutions

Publication Details

Journal
Cancer Research
Published
2025-09-25
DOI
https://doi.org/10.1158/1538-7445.pediatric25-b043
Primary Topic
Cytokine Signaling Pathways and Interactions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract B043: Dysregulated AKT signaling reprograms osteosarcoma to drive selective reliance on EP300

Noha A.M. Shendy, Melissa M. Ronan, François Lamoureux, Yang Zhang et al.
Cancer Research
Cytokine Signaling Pathways and Interactions
article

Abstract B043: Dysregulated AKT signaling reprograms osteosarcoma to drive selective reliance on EP300

Noha A.M. Shendy, Melissa M. Ronan, François Lamoureux, Yang Zhang, E. Alejandro Sweet‐Cordero, Anoop Kavirayani, Brian J. Abraham, Yousef Khashana, Barbara De Kegel, Jennifer A. Roth, Adam D. Durbin, Matthew G. Rees, Jun Qi, Ian Delahunty, Lillian M. Guenther, Charlie Wright, Benjamin Ory, Qi Liu, Stephanie Nance, Paris Prinsen, Sandra Kietlinska
article en

Abstract

Abstract Cancer cells are highly dependent on the control of transcription for maintenance of the malignant cell state. EP300 and CBP are paralogous, commonly expressed, master epigenetic enzymes, whose activity controls normal and malignant transcription. Here, we perform an integrative chemical-genetic cancer-wide analysis, identifying that most cancer lineages, including osteosarcoma (OS), a highly lethal malignancy of bone, have enhanced dependency on EP300, compared with CBP. To take advantage of selective pharmacology targeting EP300 alone, which spares CBP in untransformed cells and thereby reduces toxicity, we used the EP300-targeted degrader JQAD1. A specific genetic subgroup of OS marked by dysregulation of the PIK3CA-AKT-mTOR pathway is genetically dependent on EP300 and uniquely sensitive to EP300 degradation. Expression of constituitively active AKT in insensitive OS cells induces sensitivity to JQAD1, driven by physical relocalization of EP300, CBP and H3K27ac to genetic subtype-enriched dependency loci. Mechanistically, combinations of AKT inhibitors and JQAD1 suppress the growth of AKT-dysregulated OS in vitro and in orthotopic xenografts. These observations extend across >850 cancer cell lines, where these agents positively combine in a manner mechanistically dependent on control of protein synthesis. These findings reveal genetic and transcriptional determinants of EP300 degrader function in high-risk OS and provide a foundation for biomarker-directed investigation of co-targeting of EP300 and AKT for therapeutic gain across cancers marked by enhanced protein translation. Citation Format: Ian Delahunty, Stephanie Nance, Yang Zhang, Francois Lamoureux, Qi Liu, Charlie Wright, Noha Shendy, Sandra Kietlinska, Barbara De Kegel, Matthew Rees, Anoop Kavirayani, Paris Prinsen, Yousef Khashana, Melissa Ronan, Jennifer Roth, Alejandro Sweet-Cordero, Lilly Guenther, Paul Geeleher, Ben Ory, Jun Qi, Brian Abraham, Adam Durbin. Dysregulated AKT signaling reprograms osteosarcoma to drive selective reliance on EP300 [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Discovery and Innovation in Pediatric Cancer— From Biology to Breakthrough Therapies; 2025 Sep 25-28; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2025;85(18_Suppl_2):Abstract nr B043.

Cancer ResearchVol. 85(18_Supplement_2)
Broad Institute (US), St. Jude Children's Research Hospital (US), University of California, San Francisco (US), Dana-Farber Cancer Institute (US), Nantes Université (FR)
Openalex Percentile: Top 64%
Cytokine Signaling Pathways and Interactions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.