Gene expression profiles define molecular subtypes of prostate cancer bone metastases with different outcomes and morphology traceable back to the primary tumor

Bone metastasis is the lethal end‐stage of prostate cancer (PC), but the biology of bone metastases is poorly understood. The overall aim of this study was therefore to explore molecular variability in PC bone metastases of potential importance for therapy. Specifically, genome‐wide expression profi...

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Main Authors: Elin Thysell, Linda Vidman, Erik Bovinder Ylitalo, Emma Jernberg, Sead Crnalic, Diego Iglesias‐Gato, Amilcar Flores‐Morales, Pär Stattin, Lars Egevad, Anders Widmark, Patrik Rydén, Anders Bergh, Pernilla Wikström
Format: Article
Language:English
Published: Wiley 2019-08-01
Series:Molecular Oncology
Subjects:
Online Access:https://doi.org/10.1002/1878-0261.12526
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spelling doaj-0bd093ff3c7f4e92a8ab6f49ee9111c22020-11-25T03:28:57ZengWileyMolecular Oncology1574-78911878-02612019-08-011381763177710.1002/1878-0261.12526Gene expression profiles define molecular subtypes of prostate cancer bone metastases with different outcomes and morphology traceable back to the primary tumorElin Thysell0Linda Vidman1Erik Bovinder Ylitalo2Emma Jernberg3Sead Crnalic4Diego Iglesias‐Gato5Amilcar Flores‐Morales6Pär Stattin7Lars Egevad8Anders Widmark9Patrik Rydén10Anders Bergh11Pernilla Wikström12Department of Medical Biosciences Pathology Umeå University SwedenDepartment of Mathematics and Mathematical Statistics Umeå University SwedenDepartment of Medical Biosciences Pathology Umeå University SwedenDepartment of Medical Biosciences Pathology Umeå University SwedenDepartment of Surgical and Perioperative Sciences Orthopaedics Umeå University SwedenDepartment of Drug Design and Pharmacology Faculty of Health and Medical Sciences University of Copenhagen DenmarkDepartment of Drug Design and Pharmacology Faculty of Health and Medical Sciences University of Copenhagen DenmarkDepartment of Surgical Sciences Uppsala University SwedenDepartment of Pathology and Cytology Karolinska University Hospital Stockholm SwedenDepartment of Radiation Sciences, Oncology Umeå University SwedenDepartment of Mathematics and Mathematical Statistics Umeå University SwedenDepartment of Medical Biosciences Pathology Umeå University SwedenDepartment of Medical Biosciences Pathology Umeå University SwedenBone metastasis is the lethal end‐stage of prostate cancer (PC), but the biology of bone metastases is poorly understood. The overall aim of this study was therefore to explore molecular variability in PC bone metastases of potential importance for therapy. Specifically, genome‐wide expression profiles of bone metastases from untreated patients (n = 12) and patients treated with androgen‐deprivation therapy (ADT, n = 60) were analyzed in relation to patient outcome and to morphological characteristics in metastases and paired primary tumors. Principal component analysis and unsupervised classification were used to identify sample clusters based on mRNA profiles. Clusters were characterized by gene set enrichment analysis and related to histological and clinical parameters using univariate and multivariate statistics. Selected proteins were analyzed by immunohistochemistry in metastases and matched primary tumors (n = 52) and in transurethral resected prostate (TUR‐P) tissue of a separate cohort (n = 59). Three molecular subtypes of bone metastases (MetA‐C) characterized by differences in gene expression pattern, morphology, and clinical behavior were identified. MetA (71% of the cases) showed increased expression of androgen receptor‐regulated genes, including prostate‐specific antigen (PSA), and glandular structures indicating a luminal cell phenotype. MetB (17%) showed expression profiles related to cell cycle activity and DNA damage, and a pronounced cellular atypia. MetC (12%) exhibited enriched stroma–epithelial cell interactions. MetB patients had the lowest serum PSA levels and the poorest prognosis after ADT. Combined analysis of PSA and Ki67 immunoreactivity (proliferation) in bone metastases, paired primary tumors, and TUR‐P samples was able to differentiate MetA‐like (high PSA, low Ki67) from MetB‐like (low PSA, high Ki67) tumors and demonstrate their different prognosis. In conclusion, bone metastases from PC patients are separated based on gene expression profiles into molecular subtypes with different morphology, biology, and clinical outcome. These findings deserve further exploration with the purpose of improving treatment of metastatic PC.https://doi.org/10.1002/1878-0261.12526bone metastasisgene expressiongene set enrichment analysismorphologysurvivalunsupervised cluster analysis
collection DOAJ
language English
format Article
sources DOAJ
author Elin Thysell
Linda Vidman
Erik Bovinder Ylitalo
Emma Jernberg
Sead Crnalic
Diego Iglesias‐Gato
Amilcar Flores‐Morales
Pär Stattin
Lars Egevad
Anders Widmark
Patrik Rydén
Anders Bergh
Pernilla Wikström
spellingShingle Elin Thysell
Linda Vidman
Erik Bovinder Ylitalo
Emma Jernberg
Sead Crnalic
Diego Iglesias‐Gato
Amilcar Flores‐Morales
Pär Stattin
Lars Egevad
Anders Widmark
Patrik Rydén
Anders Bergh
Pernilla Wikström
Gene expression profiles define molecular subtypes of prostate cancer bone metastases with different outcomes and morphology traceable back to the primary tumor
Molecular Oncology
bone metastasis
gene expression
gene set enrichment analysis
morphology
survival
unsupervised cluster analysis
author_facet Elin Thysell
Linda Vidman
Erik Bovinder Ylitalo
Emma Jernberg
Sead Crnalic
Diego Iglesias‐Gato
Amilcar Flores‐Morales
Pär Stattin
Lars Egevad
Anders Widmark
Patrik Rydén
Anders Bergh
Pernilla Wikström
author_sort Elin Thysell
title Gene expression profiles define molecular subtypes of prostate cancer bone metastases with different outcomes and morphology traceable back to the primary tumor
title_short Gene expression profiles define molecular subtypes of prostate cancer bone metastases with different outcomes and morphology traceable back to the primary tumor
title_full Gene expression profiles define molecular subtypes of prostate cancer bone metastases with different outcomes and morphology traceable back to the primary tumor
title_fullStr Gene expression profiles define molecular subtypes of prostate cancer bone metastases with different outcomes and morphology traceable back to the primary tumor
title_full_unstemmed Gene expression profiles define molecular subtypes of prostate cancer bone metastases with different outcomes and morphology traceable back to the primary tumor
title_sort gene expression profiles define molecular subtypes of prostate cancer bone metastases with different outcomes and morphology traceable back to the primary tumor
publisher Wiley
series Molecular Oncology
issn 1574-7891
1878-0261
publishDate 2019-08-01
description Bone metastasis is the lethal end‐stage of prostate cancer (PC), but the biology of bone metastases is poorly understood. The overall aim of this study was therefore to explore molecular variability in PC bone metastases of potential importance for therapy. Specifically, genome‐wide expression profiles of bone metastases from untreated patients (n = 12) and patients treated with androgen‐deprivation therapy (ADT, n = 60) were analyzed in relation to patient outcome and to morphological characteristics in metastases and paired primary tumors. Principal component analysis and unsupervised classification were used to identify sample clusters based on mRNA profiles. Clusters were characterized by gene set enrichment analysis and related to histological and clinical parameters using univariate and multivariate statistics. Selected proteins were analyzed by immunohistochemistry in metastases and matched primary tumors (n = 52) and in transurethral resected prostate (TUR‐P) tissue of a separate cohort (n = 59). Three molecular subtypes of bone metastases (MetA‐C) characterized by differences in gene expression pattern, morphology, and clinical behavior were identified. MetA (71% of the cases) showed increased expression of androgen receptor‐regulated genes, including prostate‐specific antigen (PSA), and glandular structures indicating a luminal cell phenotype. MetB (17%) showed expression profiles related to cell cycle activity and DNA damage, and a pronounced cellular atypia. MetC (12%) exhibited enriched stroma–epithelial cell interactions. MetB patients had the lowest serum PSA levels and the poorest prognosis after ADT. Combined analysis of PSA and Ki67 immunoreactivity (proliferation) in bone metastases, paired primary tumors, and TUR‐P samples was able to differentiate MetA‐like (high PSA, low Ki67) from MetB‐like (low PSA, high Ki67) tumors and demonstrate their different prognosis. In conclusion, bone metastases from PC patients are separated based on gene expression profiles into molecular subtypes with different morphology, biology, and clinical outcome. These findings deserve further exploration with the purpose of improving treatment of metastatic PC.
topic bone metastasis
gene expression
gene set enrichment analysis
morphology
survival
unsupervised cluster analysis
url https://doi.org/10.1002/1878-0261.12526
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