PRISM INSERM U1192, University of Lille
Host Institution: INSERM
Director of the host institution: Gilles BLOCH
Region: Lille
Partner institutions/organizations: University of Lille
Project name: intraoperative mass spectrometry for precision health
Keywords: mass spectrometry, metabolomics, imaging, clinical, surgery
Duration: 3 years
Scientific panel: Health Technology
CNU section/CoNRS/corresponding CSS: CNU 31 or 85, Inserm CSS7
The Chair project is dedicated to the development of intraoperative mass spectrometry for precision
medicine in line with the developments realized at PRISM on in vivo mass spectrometry. Intraoperative
mass spectrometry is a game changer for clinical applications including surgery and pathology and is
expected to create a paradigm shift in the clinical practice. This research field is well positioned within
the Health Technology Institute and has been identified as strategic research to support the
development of the next generation surgical rooms. Additionally, the thematic is identified to be in the
priorities of Lille University Excellence Hub (ISite) “Precision Health” has demonstrated by the funding
support given. It has also been targeted in the CPER 2021-2027 TECSANTE, which focuses on
technological innovation in the service of acute and chronic precision health, where it will receive
funding for equipment. At the university level, this line of research will be an integral part of the
Engineering & Health project, positioned at the interface of the “precision health” and “digital world at
the service of humans” hubs, with the objective of offering the community new disruptive tools to
answer clinical questions.
Intraoperative mass spectrometry is a new disruptive field of research offering an in vivo and real–time
collection of molecular data to guide the physician in its decision–making during surgery through the
creation of molecular digital twins. It is thus intended to be a new tool for in vivo diagnosis and decision
support in surgery in the context of precision medicine. In solid cancer surgery, for example, it has
been shown that patient survival is closely linked to the quality of the surgery and unfortunately up to
30% of patients must undergo a second operation due to positive margins. Intraoperative mass
spectrometry technology allows to collect in real–time molecular profiles that are specific to the cell
types and subtypes analyzed. These molecular profiles can be associated to specific cell phenotypes
(e.g., cancerous, or inflammatory) though machine–learning or deep learning. The project focuses on
the development of intraoperative mass spectrometry, its miniaturization to allow analyses in minimally
invasive surgery (e.g., endoscopy), its automation by robotization and the integration of augmented
reality.
Detailed offer here.