Molecular OncologyCancer BiologyPeer-reviewed journal article
Transcriptional network analysis of PTEN protein-deficient prostate tumors reveals robust stromal reprogramming and signs of senescent paracrine communication
Ivana Rondon‐Lorefice, Jose Ignacio LopeziD, Aitziber Ugalde‐Olano, Maite Zufiaurre, Ianire AstobizaiD, Natalia Martín-MartíniD, Laura Bozal‐BasterraiD, Saioa Garcia‐LongarteiD, Amaia Zabala‐LetonaiD, Sofía Rey, Aida Santos-Martín, Miguel UndaiD, Ana Loizaga‐IriarteiD, Mariona GrauperaiD, Paolo Giovanni NuciforoiD, Arkaitz CarracedoiD, Isabel MendizabaliD
Abstract
Among the extensive genomic alterations in prostate cancer, the genomic deletion of PTEN stands out as one of the most consistently observed and confirmed alteration. PTEN loss in prostate tumors is primarily associated with cancer cell proliferation and survival through the activation of the PI3K-AKT-mTOR signalling pathway. However, its use as a robust biomarker in the clinical practice is hampered by the complex epigenetic, transcriptional and post-translational regulation. Here, we undertook an approach that combined in situ assessment of PTEN protein with transcriptional surrogates of its activity to gain insights into the downstream functional effects of PTEN loss in primary tumors. Our extensive bioinformatic analyses, including the integration with single-cell RNA-Seq approaches in a new clinical cohort, highlighted stroma remodeling as the major cancer cell-extrinsic process associated with PTEN loss. By applying similar computational strategy on the transcriptomic data generated from primary prostate tumors of genetically engineered Pten knock-out mouse models, we validated the causal role of Pten in the stromal reaction observed in clinical specimens. Mechanistically, we provide evidence for the activation of a paracrine program that encompasses enhanced TGF-{beta} signalling and that is compatible with the secretome of PTEN-deficient senescent cancer cells. Our study provides relevant biological context to the cellular and molecular alterations unleashed upon PTEN protein loss.
- organism: mouse
- organism: human
- assay: scRNA-seq
- research focus: cell type annotation
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: statistical model
- approach: biophysical modeling
- Citations
- 1
- FWCI
- 0.65
- Field percentile
- top 26%
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