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Dynamic prostate cancer transcriptome analysis delineates the trajectory to disease progression
by
Di Rito, Laura
, D’Antonio, Eugenia
, Rubin, Mark A.
, Bubendorf, Lukas
, Bolis, Marco
, Zoni, Eugenio
, Jermini, Fernando
, Theurillat, Jean-Philippe P.
, Ceserani, Valentina
, Pereira Mestre, Ricardo
, Corey, Eva
, Mosole, Simone
, Moch, Holger
, Cavalli, Manuela
, Spahn, Martin
, Schraml, Peter
, Ferrari, Matteo
, Vallerga, Arianna
, Stoffel, Flavio
, Bossi, Daniela
, Rinaldi, Andrea
, Kruithof-de Julio, Marianna
, Elia, Angela Rita
, Calcinotto, Arianna
, Gillessen, Silke
, Impellizzieri, Daniela
, Thalmann, George
in
38
/ 49
/ 49/31
/ 49/39
/ 49/91
/ 631/67/2329
/ 631/67/589/466
/ 64/60
/ Animals
/ Atlases as Topic
/ Cell culture
/ Cell Line, Tumor
/ Disease Progression
/ Enhancer of Zeste Homolog 2 Protein - genetics
/ Enhancer of Zeste Homolog 2 Protein - metabolism
/ G2 Phase Cell Cycle Checkpoints - genetics
/ Gene Expression Profiling
/ Gene Expression Regulation, Neoplastic
/ Heterografts
/ Humanities and Social Sciences
/ Humans
/ Macrophages
/ Macrophages - metabolism
/ Macrophages - pathology
/ Male
/ Mice
/ multidisciplinary
/ Mutation
/ Neoplasm Proteins - genetics
/ Neoplasm Proteins - metabolism
/ Perturbation
/ Polarization
/ Polycomb group proteins
/ Polycomb Repressive Complex 2 - genetics
/ Polycomb Repressive Complex 2 - metabolism
/ Principal Component Analysis
/ Prostate - metabolism
/ Prostate - pathology
/ Prostate cancer
/ Prostatic Neoplasms - genetics
/ Prostatic Neoplasms - metabolism
/ Prostatic Neoplasms - pathology
/ Science
/ Science (multidisciplinary)
/ Signal Transduction
/ Single-Cell Analysis
/ Trajectory analysis
/ Transcription
/ Transcriptome
/ Transcriptomes
/ Transcriptomics
/ Tumors
/ Xenografts
/ Xenotransplantation
2021
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Dynamic prostate cancer transcriptome analysis delineates the trajectory to disease progression
by
Di Rito, Laura
, D’Antonio, Eugenia
, Rubin, Mark A.
, Bubendorf, Lukas
, Bolis, Marco
, Zoni, Eugenio
, Jermini, Fernando
, Theurillat, Jean-Philippe P.
, Ceserani, Valentina
, Pereira Mestre, Ricardo
, Corey, Eva
, Mosole, Simone
, Moch, Holger
, Cavalli, Manuela
, Spahn, Martin
, Schraml, Peter
, Ferrari, Matteo
, Vallerga, Arianna
, Stoffel, Flavio
, Bossi, Daniela
, Rinaldi, Andrea
, Kruithof-de Julio, Marianna
, Elia, Angela Rita
, Calcinotto, Arianna
, Gillessen, Silke
, Impellizzieri, Daniela
, Thalmann, George
in
38
/ 49
/ 49/31
/ 49/39
/ 49/91
/ 631/67/2329
/ 631/67/589/466
/ 64/60
/ Animals
/ Atlases as Topic
/ Cell culture
/ Cell Line, Tumor
/ Disease Progression
/ Enhancer of Zeste Homolog 2 Protein - genetics
/ Enhancer of Zeste Homolog 2 Protein - metabolism
/ G2 Phase Cell Cycle Checkpoints - genetics
/ Gene Expression Profiling
/ Gene Expression Regulation, Neoplastic
/ Heterografts
/ Humanities and Social Sciences
/ Humans
/ Macrophages
/ Macrophages - metabolism
/ Macrophages - pathology
/ Male
/ Mice
/ multidisciplinary
/ Mutation
/ Neoplasm Proteins - genetics
/ Neoplasm Proteins - metabolism
/ Perturbation
/ Polarization
/ Polycomb group proteins
/ Polycomb Repressive Complex 2 - genetics
/ Polycomb Repressive Complex 2 - metabolism
/ Principal Component Analysis
/ Prostate - metabolism
/ Prostate - pathology
/ Prostate cancer
/ Prostatic Neoplasms - genetics
/ Prostatic Neoplasms - metabolism
/ Prostatic Neoplasms - pathology
/ Science
/ Science (multidisciplinary)
/ Signal Transduction
/ Single-Cell Analysis
/ Trajectory analysis
/ Transcription
/ Transcriptome
/ Transcriptomes
/ Transcriptomics
/ Tumors
/ Xenografts
/ Xenotransplantation
2021
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Dynamic prostate cancer transcriptome analysis delineates the trajectory to disease progression
by
Di Rito, Laura
, D’Antonio, Eugenia
, Rubin, Mark A.
, Bubendorf, Lukas
, Bolis, Marco
, Zoni, Eugenio
, Jermini, Fernando
, Theurillat, Jean-Philippe P.
, Ceserani, Valentina
, Pereira Mestre, Ricardo
, Corey, Eva
, Mosole, Simone
, Moch, Holger
, Cavalli, Manuela
, Spahn, Martin
, Schraml, Peter
, Ferrari, Matteo
, Vallerga, Arianna
, Stoffel, Flavio
, Bossi, Daniela
, Rinaldi, Andrea
, Kruithof-de Julio, Marianna
, Elia, Angela Rita
, Calcinotto, Arianna
, Gillessen, Silke
, Impellizzieri, Daniela
, Thalmann, George
in
38
/ 49
/ 49/31
/ 49/39
/ 49/91
/ 631/67/2329
/ 631/67/589/466
/ 64/60
/ Animals
/ Atlases as Topic
/ Cell culture
/ Cell Line, Tumor
/ Disease Progression
/ Enhancer of Zeste Homolog 2 Protein - genetics
/ Enhancer of Zeste Homolog 2 Protein - metabolism
/ G2 Phase Cell Cycle Checkpoints - genetics
/ Gene Expression Profiling
/ Gene Expression Regulation, Neoplastic
/ Heterografts
/ Humanities and Social Sciences
/ Humans
/ Macrophages
/ Macrophages - metabolism
/ Macrophages - pathology
/ Male
/ Mice
/ multidisciplinary
/ Mutation
/ Neoplasm Proteins - genetics
/ Neoplasm Proteins - metabolism
/ Perturbation
/ Polarization
/ Polycomb group proteins
/ Polycomb Repressive Complex 2 - genetics
/ Polycomb Repressive Complex 2 - metabolism
/ Principal Component Analysis
/ Prostate - metabolism
/ Prostate - pathology
/ Prostate cancer
/ Prostatic Neoplasms - genetics
/ Prostatic Neoplasms - metabolism
/ Prostatic Neoplasms - pathology
/ Science
/ Science (multidisciplinary)
/ Signal Transduction
/ Single-Cell Analysis
/ Trajectory analysis
/ Transcription
/ Transcriptome
/ Transcriptomes
/ Transcriptomics
/ Tumors
/ Xenografts
/ Xenotransplantation
2021
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Dynamic prostate cancer transcriptome analysis delineates the trajectory to disease progression
Journal Article
Dynamic prostate cancer transcriptome analysis delineates the trajectory to disease progression
2021
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Overview
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.
Publisher
Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio
Subject
/ 49
/ 49/31
/ 49/39
/ 49/91
/ 64/60
/ Animals
/ Enhancer of Zeste Homolog 2 Protein - genetics
/ Enhancer of Zeste Homolog 2 Protein - metabolism
/ G2 Phase Cell Cycle Checkpoints - genetics
/ Gene Expression Regulation, Neoplastic
/ Humanities and Social Sciences
/ Humans
/ Male
/ Mice
/ Mutation
/ Neoplasm Proteins - genetics
/ Neoplasm Proteins - metabolism
/ Polycomb Repressive Complex 2 - genetics
/ Polycomb Repressive Complex 2 - metabolism
/ Principal Component Analysis
/ Prostatic Neoplasms - genetics
/ Prostatic Neoplasms - metabolism
/ Prostatic Neoplasms - pathology
/ Science
/ Tumors
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