Author
Listed:
- Ninghui Mao
(Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center)
- Zeda Zhang
(Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center
Louis V. Gerstner Jr. Graduate School of Biomedical Sciences, Memorial Sloan Kettering Cancer Center)
- Young Sun Lee
(Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center)
- Danielle Choi
(Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center)
- Aura Agudelo Rivera
(Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center)
- Dan Li
(Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center)
- Cindy Lee
(Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center)
- Samuel Haywood
(Memorial Sloan Kettering Cancer Center
Memorial Sloan Kettering Cancer Center)
- Xiaoping Chen
(Antitumor Assessment Core Facility, Memorial Sloan Kettering Cancer Center)
- Qing Chang
(Antitumor Assessment Core Facility, Memorial Sloan Kettering Cancer Center)
- Guotai Xu
(Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center)
- Hsuan-An Chen
(Louis V. Gerstner Jr. Graduate School of Biomedical Sciences, Memorial Sloan Kettering Cancer Center)
- Elisa Stanchina
(Antitumor Assessment Core Facility, Memorial Sloan Kettering Cancer Center)
- Charles Sawyers
(Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center
Howard Hughes Medical Institute, Memorial Sloan Kettering Cancer Center)
- Neal Rosen
(Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center)
- Andrew C. Hsieh
(Divisions of Human Biology and Clinical Research, Fred Hutchinson Cancer Research Center)
- Yu Chen
(Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center
Memorial Sloan Kettering Cancer Center)
- Brett S. Carver
(Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center
Memorial Sloan Kettering Cancer Center
Memorial Sloan Kettering Cancer Center)
Abstract
Previous studies have suggested that PTEN loss is associated with p110β signaling dependency, leading to the clinical development of p110β-selective inhibitors. Here we use a panel pre-clinical models to reveal that PI3K isoform dependency is not governed by loss of PTEN and is impacted by feedback inhibition and concurrent PIK3CA/PIK3CB alterations. Furthermore, while pan-PI3K inhibition in PTEN-deficient tumors is efficacious, upregulation of Insulin Like Growth Factor 1 Receptor (IGF1R) promotes resistance. Importantly, we show that this resistance can be overcome through targeting AKT and we find that AKT inhibitors are superior to pan-PI3K inhibition in the context of PTEN loss. However, in the presence of wild-type PTEN and PIK3CA-activating mutations, p110α-dependent signaling is dominant and selectively inhibiting p110α is therapeutically superior to AKT inhibition. These discoveries reveal a more nuanced understanding of PI3K isoform dependency and unveil novel strategies to selectively target PI3K signaling nodes in a context-specific manner.
Suggested Citation
Ninghui Mao & Zeda Zhang & Young Sun Lee & Danielle Choi & Aura Agudelo Rivera & Dan Li & Cindy Lee & Samuel Haywood & Xiaoping Chen & Qing Chang & Guotai Xu & Hsuan-An Chen & Elisa Stanchina & Charle, 2021.
"Defining the therapeutic selective dependencies for distinct subtypes of PI3K pathway-altered prostate cancers,"
Nature Communications, Nature, vol. 12(1), pages 1-13, December.
Handle:
RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-25341-9
DOI: 10.1038/s41467-021-25341-9
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