Cancer et génome : bioinformatique, biostatistiques et épidémiologie d'un système complexe

Type: Research entity evaluation report

Evaluation campaign: 2023-2024 (group D) - Published on: 19/06/2024

Institution(s) concerned: Institut Curie , Institut national de la santé et de la recherche médicale - INSERM , Université Paris Sciences et Lettres , Mines ParisTech

Disciplinary research field: Life and Earth Sciences (SVE) ; SVE7 - Prévention, diagnostic et traitement des maladies humaines (médecine préventive et pronostique, santé publique et épidémiologie, santé environnementale, médecine du travail, soins de santé, y compris soins pour la population vieillissante, technolo

ERC panel(s): LS Life Sciences

Name of unit teams: Institut Curie Bioinformatics Core Facility (CUBIC) ; Genetic Epidemiology of Cancers (GEC) ; Computational Systems Biology of Cancer (SYSBIO) ; Computational Biology and Integrative Genomics of Cancer (CBIGC) ; Statistical Machine Learning and Modeling of Biology Systems (CBIO) ; Cancer Systems Pharmacology (SYSPHARMA) ; STAtistical Methods for Precision Medicine (STAMPM) ; Team 1 investigates genetic epidemiology in familial cancers with a strong focus on breast and ovary tumors. ; Team 2 develops mathematical models of cancer regulation and spatial organization to understand tumor complexity, and find potential new therapeutic options in various carcinomas and sarcomas. ; Team 3 is interested in adult gliomas and pediatric brain tumors through data integration, with an emphasis on spatial heterogeneity and IDH-mutant gliomas. ; Team 4 develops machine learning methods to model different aspects of biological systems, in particular subcellular RNA localization, gene exchange in DNA, biomarkers. ; Team 5 combines multi-omics and multiscale data to unravel novel combined therapies and chronotherapy regimens. ; Team 6 develops statistical methods for precision medicine that rely on the proper use of biomarkers. They also investigate the evaluation of statistical methods and medical practice in medical trials and routine.

Keywords: Génétique ; Bioinformatique ; Santé publique ; Cancer ; Mathématiques appliquées ; Imagerie ; Pharmacologie