Loss of PI5P4Kα slows the progression of a Pten mutant basal cell model of prostate cancer.

While early prostate cancer (PCa) depends on the androgen receptor (AR) signaling pathway, which is predominant in luminal cells, there is much to be understood about the contribution of epithelial basal cells in cancer progression. Herein, we observe cell-type specific differences in the importance of the metabolic enzyme phosphatidylinositol 5-phosphate 4-kinase alpha (PI5P4Kα β ; gene name PIP4K2A) in the prostate epithelium. We report the development of a basal-cell-specific genetically engineered mouse model (GEMM) targeting Pip4k2a alone or in combination with the tumor suppressor phosphatase and tensin homolog (Pten). PI5P4Kα is enriched in basal cells, and no major histopathological changes were detectable following gene deletion. Notably, the combined loss of Pip4k2a slowed the development of Pten mutant mouse prostatic intraepithelial neoplasia (mPIN). Through the inclusion of a lineage tracing reporter, we utilize single-cell RNA sequencing to evaluate changes resulting from in vivo downregulation of Pip4k2a and characterize cell populations influenced in the established Probasin-Cre and Cytokeratin 5 (CK5)-Cre driven GEMMs. Transcriptomic pathway analysis points towards the disruption of lipid metabolism as a mechanism for reduced tumor progression. This was functionally supported by shifts of carnitine lipids in LNCaP PCa cells treated with siPIP4K2A. Overall, these data nominate PI5P4Kα as a target for PTEN mutant PCa. Implications: PI5P4Kα is enriched in prostate basal cells and its targeted loss slows the progression of a model of advanced PCa.

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Publication Details

Journal
Open Access CRIS of the University of Bern
Published
2024-10-09
DOI
https://doi.org/10.48620/76301
Primary Topic
PI3K/AKT/mTOR signaling in cancer
Type
article
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article

Loss of PI5P4Kα slows the progression of a Pten mutant basal cell model of prostate cancer.

Open Access CRIS of the University of Bern
PI3K/AKT/mTOR signaling in cancer
article

Loss of PI5P4Kα slows the progression of a Pten mutant basal cell model of prostate cancer.

article en

Abstract

While early prostate cancer (PCa) depends on the androgen receptor (AR) signaling pathway, which is predominant in luminal cells, there is much to be understood about the contribution of epithelial basal cells in cancer progression. Herein, we observe cell-type specific differences in the importance of the metabolic enzyme phosphatidylinositol 5-phosphate 4-kinase alpha (PI5P4Kα β ; gene name PIP4K2A) in the prostate epithelium. We report the development of a basal-cell-specific genetically engineered mouse model (GEMM) targeting Pip4k2a alone or in combination with the tumor suppressor phosphatase and tensin homolog (Pten). PI5P4Kα is enriched in basal cells, and no major histopathological changes were detectable following gene deletion. Notably, the combined loss of Pip4k2a slowed the development of Pten mutant mouse prostatic intraepithelial neoplasia (mPIN). Through the inclusion of a lineage tracing reporter, we utilize single-cell RNA sequencing to evaluate changes resulting from in vivo downregulation of Pip4k2a and characterize cell populations influenced in the established Probasin-Cre and Cytokeratin 5 (CK5)-Cre driven GEMMs. Transcriptomic pathway analysis points towards the disruption of lipid metabolism as a mechanism for reduced tumor progression. This was functionally supported by shifts of carnitine lipids in LNCaP PCa cells treated with siPIP4K2A. Overall, these data nominate PI5P4Kα as a target for PTEN mutant PCa. Implications: PI5P4Kα is enriched in prostate basal cells and its targeted loss slows the progression of a model of advanced PCa.

Open Access CRIS of the University of Bern
GP Forschungsgruppe (DE), Advanced Animal Diagnostics (United States) (US), Praxis (EE)
Good health and well-being
Openalex Percentile: Top 55%
PI3K/AKT/mTOR signaling in cancer
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Loss of PI5P4Kα slows the progression of a Pten mutant basal cell model of prostate cancer. · Open Access CRIS of the University of Bern (2024) | TGRS Research Map | TGRS