Agnès Laplanche

Yves Allory3
Thierry Lebret3
Elodie Chapeaublanc2
3Yves Allory
3Thierry Lebret
2Elodie Chapeaublanc
2Clotilde Théry
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BACKGROUND Epigenetic silencing can extend to whole chromosomal regions in cancer. There have been few genome-wide studies exploring its involvement in tumorigenesis. METHODS We searched for chromosomal regions affected by epigenetic silencing in cancer by using Affymetrix microarrays and real-time quantitative polymerase chain reaction to analyze RNA(More)
  • Benjamin Besse, Mélinda Charrier, Valérie Lapierre, Eric Dansin, Olivier Lantz, David Planchard +22 others
  • 2016
Dendritic cell-derived exosomes (Dex) are small extracellular vesicles secreted by viable dendritic cells. In the two phase-I trials that we conducted using the first generation of Dex (IFN-g-free) in end-stage cancer, we reported that Dex exerted natural killer (NK) cell effector functions in patients. A second generation of Dex (IFN-g-Dex) was(More)
Muscle-invasive forms of urothelial carcinomas are responsible for most mortality in bladder cancer. Finding new treatments for invasive bladder tumours requires adequate animal models to decipher the mechanisms of progression, in particular the way tumours interact with their microenvironment. Herein, using the murine bladder tumour cell line MB49 and its(More)
TP53 and FGFR3 mutations are the most common mutations in bladder cancers. FGFR3 mutations are most frequent in low-grade low-stage tumours, whereas TP53 mutations are most frequent in high-grade high-stage tumours. Several studies have reported FGFR3 and TP53 mutations to be mutually exclusive events, whereas others have reported them to be independent. We(More)
In the case of an unexpected high frequency of serious adverse events (SAE), statistical methods are needed to help in the decision making process as to continuation of accrual to the trial. This paper describes an R package, named SAE that implements a method recently developed by defining stopping rules after each observed SAE. The package function(More)
Competing risks are frequently encountered in the analysis of survival data. Different methods of analysis can be used in estimated and comparing cumulative incidence functions provided enough information is available as to the times and causes of failure. Algorithms written in R have been developed to handle this type of data. In this paper we propose an R(More)
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