• Dépistage, diagnostic, pronostic

  • Essais de technologies et de biomarqueurs dans un contexte clinique

  • Prostate

Rare germline variants in DNA repair genes and the angiogenesis pathway predispose prostate cancer patients to develop metastatic disease

Menée à partir de l'analyse d'échantillons tumoraux prélevés sur 280 patients atteints d'un cancer métastatique agressif de la prostate (âge inférieur à 60 ans) ou d'un cancer de la prostate de faible grade (âge au diagnostic supérieur ou égal à 60 ans), cette étude met en évidence une association entre des mutations constitutionnelles rares de gènes impliqués dans la réparation de l'ADN ou dans l'angiogenèse et le caractère agressif de la maladie

Background : Prostate cancer (PrCa) demonstrates a heterogeneous clinical presentation ranging from largely indolent to lethal. We sought to identify a signature of rare inherited variants that distinguishes between these two extreme phenotypes.

Methods : We sequenced germline whole exomes from 139 aggressive (metastatic, age of diagnosis < 60) and 141 non-aggressive (low clinical grade, age of diagnosis ≥60) PrCa cases. We conducted rare variant association analyses at gene and gene set levels using SKAT and Bayesian risk index techniques. GO term enrichment analysis was performed for genes with the highest differential burden of rare disruptive variants.

Results : Protein truncating variants (PTVs) in specific DNA repair genes were significantly overrepresented among patients with the aggressive phenotype, with BRCA2, ATM and NBN the most frequently mutated genes. Differential burden of rare variants was identified between metastatic and non-aggressive cases for several genes implicated in angiogenesis, conferring both deleterious and protective effects.

Conclusions : Inherited PTVs in several DNA repair genes distinguish aggressive from non-aggressive PrCa cases. Furthermore, inherited variants in genes with roles in angiogenesis may be potential predictors for risk of metastases. If validated in a larger dataset, these findings have potential for future clinical application.

British Journal of Cancer , article en libre accès, 2018

Voir le bulletin