Léa Ledoux

  • PostDoc

is a postdoctoral researcher at INSERM within the PRISM laboratory. After completing her PhD in novembre 2023, which focused on developing the SpiderMass technology to improve the diagnosis and prognosis of glioblastoma and esogastric cancers, she is now dedicated to its deployment at the Centre Oscar Lambret in Lille. This project aims to integrate SpiderMass into extemporaneous analyses and, finally, surgical procedures for the treatment of sarcoma. In parallel, she is involved in numerous collaborative projects involving SpiderMass and MALDI Imaging, addressing a wide range of fiels such as cancer, forensic science, and pharmaceutical research. Beyond her research, Dr. Léa Ledoux has mentored 3 students (two undergraduate and one Master’s 1) during their internships.

List of her publications : (1) Ledoux, L., Zirem, Y., Renaud, F., Duponchel, L., Salzet, M., Ogrinc, N., & Fournier, I. (2023). Comparing MS imaging of lipids by WALDI and MALDI: two technologies for evaluating a common ground truth in MS imaging. Analyst, 148(20), 4982-4986. (2) Zirem, Y., Ledoux, L., Roussel, L., Maurage, C. A., Tirilly, P., Le Rhun, É., … & Fournier, I. (2024). Real-time glioblastoma tumor microenvironment assessment by SpiderMass for improved patient management. Cell Reports Medicine, 5(4). (3) Zirem, Y., Ledoux, L., Salzet, M., & Fournier, I. (2024). Protocol to analyze 1D and 2D mass spectrometry data from glioblastoma tissues for cancer diagnosis and immune cell identification. STAR protocols, 5(3), 103285. (4) de Oliveira Alves, N., Boulard, O., Vaysse, A., Dalmasso, G., Nikitina, D., Ruez, R., Ledoux, L., … & Chamaillard, M. (2023, November). Spatial metabolomics reveals a reprogramming of lipid metabolism by bacterial colibactin supporting immunosuppressive microenvironment in right-sided colon cancer. In 5 Metabolism & Cancer. (5) Zirem, Y., Ledoux, L., Ogrinc, N., Bourette, R., Lagadec, C., Chaillou, P., … & Fournier, I. (2024). Development of Molecular Digital Twins Based on Ambient Ionization Mass Spectrometry Imaging for Real-Time Application in Oncological Surgery. bioRxiv, 2024-12. (6) Roussel, L., Zirem, Y., Lagache, L., Ledoux, L., Meresse, B., Delbecke, M., … & Fournier, I. Spidermass and Machine Learning-Based Lipids Immunoscoring Forwards Real Time Ovarian Cancer Diagnosis and Prognosis in Surgery.