Using data from a cohort of over 800 patients, Valentin Goutaudier will identify classifiers for each diagnosis: humoral rejection, cellular rejection, etc. With these different rejection profiles or archetypes, it will then be possible to assign each patient a probability of graft rejection.
Histological diagnoses would potentially be improved by the results of this transcriptomic analysis. Valentin Goutaudier will have to test this technique and prove its benefit compared to current histological practices. The objective of Valentin's thesis is to integrate the data from the transcriptomic analysis into a predictive tool for graft rejection.
The support of the Fondation pour la Recherche Médicale is precious in the evaluation of new molecular techniques as a companion to conventional histology in renal transplantation. The aim of this research is to provide physicians with useful information so that they can propose an adapted and optimal therapeutic strategy to their patients.
Paris Transplant Group
Our global aim is to accelerate the translation of immunological and gene expression discoveries into the clinical field by filling the gap between basic science and applied biomedical researches.