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The Inserm Unit UMR 1069, "Niche, Nutrition, Cancer, and Oxidative Metabolism (N2COx)" is at the intersection of the two fields nutrition and cancer, based on the concept that cancer arises from complex interactions between the host and the tumor. The team focuses on dietary lipids (polyunsaturated fatty acids, ether lipids, cholesterol, and cardiolipins) as well as synthetic lipids, exploring their roles in cancer development and progression. The unit investigates several types of cancer, including breast, colon, lung, ovarian, and prostate cancers, as well as hematological malignancies. The identified lipids are studied for their potential to prevent or reduce dysplasia, tumor progression (relapse and metastasis), resistance to treatments (chemotherapy, antibody therapies, and hormone therapy), and cancer-associated malnutrition.
Our translational and clinical research is structured around two main mechanistic axes:

1. Calcium Signaling
2. Energy and Oxidative Metabolism

The Inserm Unit UMR 1069 is composed of a multidisciplinary team of researchers, clinicians, engineers and technicians, with complementary expertise in clinical oncology, nutrition, physiology, experimental biochemistry, pharmacology and molecular biology.

Our team

48

Permanent Professors, Associate Professors,
4 full time Researchers (2 Inserm, 1 CHU et 1 University)
(22 HDR)

19

Engineers and Technical Staff
(1 Inserm) 

 

13

Post-doctoral Researchers, ATER, PhD Students

 

Avancée majeure sur la détection et le traitement personnalisé des cancers 

Notre laboratoire Niche, Nutrition, Cancer et Métabolisme Oxydatif (N2COx), en collaboration avec le Laboratoire d’Informatique Fondamentale et Appliquée de Tours (LIFAT) à l’Université de Tours, a publié une étude majeure dans la revue Cell Communication and Signaling (Springer Nature) pilotée par les enseignants-chercheurs David Crottès (N2COx) et Thierry Brouard (LIFAT). Les travaux, débutés en 2022, portent sur l’analyse des variations du calcium Ca²⁺ dans les cellules afin de détecter et de prédire le comportement des cellules cancéreuses. Après avoir récemment validé le concept, nos équipes projettent désormais de tester cette approche à l’échelle humaine. Cette avancée ouvre la voie à de nouvelles méthodes de diagnostic et à des stratégies thérapeutiques personnalisées dans le cancer, combinant imagerie cellulaire et intelligence artificielle.

Access to the lab :
Inserm UMR1069 N2COx Faculty of Medicine
Dutrochet building - 1st, 2nd and 4th floors
10 boulevard Tonnellé 37032 Tours Cedex (France)

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