Signaling Modules Involved in Acquired Resistance to Treatments in NeuroEndocrine Tumors
Project acronym: SMART-NET
Topics: proteomics, neuroendocrine tumours, therapeuthic treatment, mathematical modeling
Disciplinary fields: mathematics, computer sciences, oncology , biochemistry
Summary: Neuroendocrine tumours (NET) are characterized by a relatively slow cell proliferation and a hormonal hypersecretion. Although there is evidence of a significant rise of their incidence, current treatments are largely insufficient due to poor knowledge of these tumours. This project merges multidisciplinary highthroughput approaches, proteomics and mathematical modeling, to describe intracellular signalling networks in NETs and their perturbations during resistance to therapeutic treatments. This project will then identify putative therapeutic targets to develop combinatorial strategies to be tested on available well-established preclinical models (cell lines, NET in primary cultures). This predictive approach will pave the way for co-targeting therapeutic strategies in order to improve existing treatments and prevent resistance occurrence. Eventually, the ultimate achievement will be to improve patients’ care for this constantly growing family of tumours.
Project Interlocutor: Anne Barlier, CRN2M (UMR 7286)
Project duration: 03/01/2018 – 02/28/2021
Call for application: Interdisciplinarité 2016