Loading…
Loading grant details…
| Funder | European Commission |
|---|---|
| Recipient Organization | Ethniko Kai Kapodistriako Panepistimio Athinon |
| Country | Greece |
| Start Date | Jan 01, 2023 |
| End Date | Dec 31, 2026 |
| Duration | 1,460 days |
| Number of Grantees | 14 |
| Roles | Participant; Coordinator; Third Party |
| Data Source | European Commission |
| Grant ID | 101097094 |
Multiple Myeloma is a chronic malignancy characterized by slow progression and recurrences.
Currently there is no effective cure since eventually the disease develops resistance to all the available therapeutic approaches.
Although recent advances have expanded our understanding of the cellular functions associated with health to disease transition, recurrence and response to therapy, critical aspects of this complex pathology remain to be elucidated.
Application of omics technologies, and bioinformatics approaches on highly annotated samples obtained from all informative states (monoclonal gammopathy of undetermined significance [MGUS], smoldering MM [sMM], active MM [MM]) could identify biological pathways and molecules responsible for the onset, progression and resistance to therapy of Multiple Myeloma.
In parallel, particular emphasis will be given to elucidating the health determinants and risk factors associated with progression to active MM from MGUS/sMM by using extensive demographic, lifestyle and exposure datasets.
MGUS is present in 3-5% of the ageing European population and every year, 1% progress to incurable MM that imposes a significant burden on EU societies and health systems. Thus, the best chances of curing MM may be in preventing its progression in the first place.
Moreover, there is need of experimental models that recapitulate myeloma progression.We propose an interdisciplinary approach bringing together clinicians and researchers aiming to integrate epidemiological, clinical and experimental datasets in order to create a molecular model of cellular processes associated with the onset of active MM and response to therapy.
The proposed systems medicine approach could yield clinically actionable molecular features that could improve MM patient management.
Moreover, the integration of lifestyle, clinical and omics information will provide specific profiles for each patient allowingpersonalized diagnosis, prevention, and therapeutic approaches.This action is part of the Cancer Mission cluster of projects on ''Understanding'.
Universitaetsklinikum Wuerzburg - Klinikum Der Bayerischen Julius-Maximilians-Universitat; Ethniko Kai Kapodistriako Panepistimio Athinon; Universite de Montpellier; Universita Degli Studi Di Torino; Idryma Iatroviologikon Ereunon Akademias Athinon; Atos Spain Sa; Kypriako Idryma Erevnon Gia Ti Myiki Distrofia; Universidad de Navarra; Ethniko Idryma Erevnon; Atos It Solutions and Services Iberia Sl; Centre National de la Recherche Scientifique CNRS; Mosaiques Diagnostics Gmbh; Exelixis Diacheirisi Erevnas Kai Epikoinonia Ee; Gottfried Wilhelm Leibniz Universitaet Hannover
Complete our application form to express your interest and we'll guide you through the process.
Apply for This Grant