1. Dynamic prostate cancer transcriptome analysis delineates the trajectory to disease progression
- Author
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Eugenia D’Antonio, Laura Di Rito, Silke Gillessen, Angela Rita Elia, Eugenio Zoni, Fernando Jermini, Arianna Vallerga, Mark A. Rubin, Jean-Philippe Theurillat, Holger Moch, Marco Bolis, Daniela Bossi, Andrea Rinaldi, Eva Corey, Arianna Calcinotto, George N. Thalmann, Simone Mosole, Marianna Kruithof-de Julio, Daniela Impellizzieri, Valentina Ceserani, Lukas Bubendorf, Martin Spahn, Ricardo Pereira Mestre, Flavio Stoffel, Matteo Ferrari, Manuela Cavalli, and Peter Schraml
- Subjects
Male ,Tumour heterogeneity ,Science ,Macrophage polarization ,General Physics and Astronomy ,610 Medicine & health ,Biology ,Article ,General Biochemistry, Genetics and Molecular Biology ,Transcriptome ,Mice ,Prostate cancer ,Atlases as Topic ,Downregulation and upregulation ,Cell Line, Tumor ,medicine ,Animals ,Humans ,Enhancer of Zeste Homolog 2 Protein ,Principal Component Analysis ,Multidisciplinary ,Gene Expression Profiling ,Macrophages ,EZH2 ,Polycomb Repressive Complex 2 ,Prostate ,Prostatic Neoplasms ,General Chemistry ,medicine.disease ,M2 Macrophage ,Neoplasm Proteins ,G2 Phase Cell Cycle Checkpoints ,Gene Expression Regulation, Neoplastic ,Tumor progression ,Cancer cell ,Disease Progression ,Cancer research ,Heterografts ,Single-Cell Analysis ,Signal Transduction - Abstract
Comprehensive genomic studies have delineated key driver mutations linked to disease progression for most cancers. However, corresponding transcriptional changes remain largely elusive because of the bias associated with cross-study analysis. Here, we overcome these hurdles and generate a comprehensive prostate cancer transcriptome atlas that describes the roadmap to tumor progression in a qualitative and quantitative manner. Most cancers follow a uniform trajectory characterized by upregulation of polycomb-repressive-complex-2, G2-M checkpoints, and M2 macrophage polarization. Using patient-derived xenograft models, we functionally validate our observations and add single-cell resolution. Thereby, we show that tumor progression occurs through transcriptional adaption rather than a selection of pre-existing cancer cell clusters. Moreover, we determine at the single-cell level how inhibition of EZH2 - the top upregulated gene along the trajectory – reverts tumor progression and macrophage polarization. Finally, a user-friendly web-resource is provided enabling the investigation of dynamic transcriptional perturbations linked to disease progression., Transcriptional changes during prostate cancer progression are not yet fully understood. Here, the authors integrate a transcriptomics atlas of prostate cancer and validate it with preclinical models and single-cell RNA-seq, revealing the role of EZH2 and macrophage polarisation in tumour progression.
- Published
- 2021