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The OncoAge Consortium: Linking Aging and Oncology from Bench to Bedside and Back Again
- Source :
- Cancers, Cancers, MDPI, 2019, 11 (2), pp.1-11. ⟨10.3390/cancers11020250⟩, Cancers, Vol 11, Iss 2, p 250 (2019), Cancers, 2019, 11 (2), pp.1-11. ⟨10.3390/cancers11020250⟩
- Publication Year :
- 2019
- Publisher :
- HAL CCSD, 2019.
-
Abstract
- International audience; It is generally accepted that carcinogenesis and aging are two biological processes, which are known to be associated. Notably, the frequency of certain cancers (including lung cancer), increases significantly with the age of patients and there is now a wealth of data showing that multiple mechanisms leading to malignant transformation and to aging are interconnected, defining the so-called common biology of aging and cancer. OncoAge, a consortium launched in 2015, brings together the multidisciplinary expertise of leading public hospital services and academic laboratories to foster the transfer of scientific knowledge rapidly acquired in the fields of cancer biology and aging into innovative medical practice and silver economy development. This is achieved through the development of shared technical platforms (for research on genome stability, (epi)genetics, biobanking, immunology, metabolism, and artificial intelligence), clinical research projects, clinical trials, and education. OncoAge focuses mainly on two pilot pathologies, which benefit from the expertise of several members, namely lung and head and neck cancers. This review outlines the broad strategic directions and key advances of OncoAge and summarizes some of the issues faced by this consortium, as well as the short-and long-term perspectives.
- Subjects :
- education
research
[SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system
well-being
Perspective
aging
[INFO.INFO-IM]Computer Science [cs]/Medical Imaging
cancer
lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens
lcsh:RC254-282
optimization
elderly
[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation
Subjects
Details
- Language :
- English
- ISSN :
- 20726694
- Database :
- OpenAIRE
- Journal :
- Cancers, Cancers, MDPI, 2019, 11 (2), pp.1-11. ⟨10.3390/cancers11020250⟩, Cancers, Vol 11, Iss 2, p 250 (2019), Cancers, 2019, 11 (2), pp.1-11. ⟨10.3390/cancers11020250⟩
- Accession number :
- edsair.pmid.dedup....efffe39d05b169d27057047455f84247