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Comprehensive molecular classification of localized prostate adenocarcinoma reveals a tumour subtype predictive of non-aggressive disease

Authors :
Gaëlle Fromont
Luc Multigner
Lucile Armenoult
Pascal Blanchet
Morgan Rouprêt
Geraldine Cancel-Tassin
A. Diedhiou
Laurent Doucet
A. de Reyniès
Georges Fournier
Aurélie Kamoun
X Leroy
Mira Ayadi
Eva Comperat
Jacques Irani
Arnauld Villers
Nabila Elarouci
Sandrine Boyault
Olivier Cussenot
Laurent Brureau
Ligue Nationale Contre le Cancer - Paris
Ligue Nationnale Contre le Cancer
CEREPP
Centre Hospitalier Régional Universitaire de Tours (CHRU Tours)
Hôpital de la Milétrie
Centre hospitalier universitaire de Poitiers (CHU Poitiers)
Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille)
Hôpital de la Cavale Blanche - CHRU Brest (CHU - BREST )
Synergie Lyon Cancer [Lyon]
Centre Léon Bérard [Lyon]
Institut de recherche en santé, environnement et travail (Irset)
Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique )-Institut National de la Santé et de la Recherche Médicale (INSERM)-École des Hautes Études en Santé Publique [EHESP] (EHESP)-Université de Rennes 1 (UR1)
Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Université d'Angers (UA)
CHU Pointe-à-Pitre/Abymes [Guadeloupe]
Ligue Contre le Cancer
Centre Hospitalier Régional Universitaire de Tours (CHRU TOURS)
Université d'Angers (UA)-Université de Rennes 1 (UR1)
Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-École des Hautes Études en Santé Publique [EHESP] (EHESP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique )
Ligue Nationale Contre le Cancer (LNCC)
Fondation Synergie Lyon Cancer [Lyon]
Université d'Angers (UA)-Université de Rennes (UR)-École des Hautes Études en Santé Publique [EHESP] (EHESP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique )
Source :
Annals of Oncology, Annals of Oncology, Elsevier, 2018, 29 (8), pp.1814-1821. ⟨10.1093/annonc/mdy224⟩, Annals of Oncology, 2018, 29 (8), pp.1814-1821. ⟨10.1093/annonc/mdy224⟩
Publication Year :
2018
Publisher :
HAL CCSD, 2018.

Abstract

Background Management of localized prostate cancer (PCa) is a major clinical challenge since most of these cancers would not evolve but a majority of patients will still undergo a life-changing radical surgery. Molecular studies have shown that PCa can be classified according to their genomic alterations but none of the published PCa molecular classifications could identify a subtype corresponding to non-evolutive tumours. Materials and methods Multi-omics molecular profiling was carried out on post-radical prostatectomy material from a cohort of 130 patients with localized PCa. We used unsupervised classification techniques to build a comprehensive classification of prostate tumours based on three molecular levels: DNA copy number, DNA methylation, and mRNA expression. Merged data from our cohort and The Cancer Genome Atlas cohort were used to characterize the resulting tumour subtypes. We measured subtype-associated risks of biochemical relapse using Cox regression models and survival data from five cohorts including the two aforementioned. Results We describe three PCa molecular subtypes associated with specific molecular characteristics and different clinical outcomes. Particularly, one subtype was strongly associated with the absence of biochemical recurrence. We validated this finding on 746 samples from 5 distinct cohorts (P = 3.41 × 10−8, N = 746 tumour samples), and showed that our subtyping approach outperformed the most popular prognostic molecular signatures to accurately identify a subset of patients with a non-evolutive disease. We provide a set of 36 transcriptomic biomarkers to robustly identify this subtype of non-evolutive cases whose prevalence was estimated to 22% of all localized PCa tumours. Conclusion At least 20% of patients with localized PCa can be accurately predicted to have a non-evolutive disease on the basis of their molecular subtype. Those patients should not undergo immediate surgery and rather be placed under active surveillance.

Details

Language :
English
ISSN :
09237534 and 15698041
Database :
OpenAIRE
Journal :
Annals of Oncology, Annals of Oncology, Elsevier, 2018, 29 (8), pp.1814-1821. ⟨10.1093/annonc/mdy224⟩, Annals of Oncology, 2018, 29 (8), pp.1814-1821. ⟨10.1093/annonc/mdy224⟩
Accession number :
edsair.doi.dedup.....6b25767fbf1b8e24054df3d80670d78f
Full Text :
https://doi.org/10.1093/annonc/mdy224⟩