Preclinical Lymph Node Model for Intraoperative Molecular Imaging of Cancer.
cancer imaging
intraoperative molecular imaging
lymph node model
Journal
Research square
Titre abrégé: Res Sq
Pays: United States
ID NLM: 101768035
Informations de publication
Date de publication:
12 Jun 2023
12 Jun 2023
Historique:
pubmed:
3
7
2023
medline:
3
7
2023
entrez:
3
7
2023
Statut:
epublish
Résumé
Lymph node(LN) dissection is part of most oncologic resections. Intraoperatively identifying a positive LN(+ LN), that harbors malignant cells, can be challenging. We hypothesized that intraoperative molecular imaging(IMI) using a cancer-targeted fluorescent prober can identify + LNs. This study aimed to develop a preclinical model of a + LN and test it using an activatable cathepsin-based enzymatic probe, VGT-309. In the first model, we used peripheral blood mononuclear cells (PBMC), representing the lymphocytic composition of the LN, mixed with different concentrations of human lung adenocarcinoma cell line A549. Then, they were embedded in a Matrigel A significant difference in MFI from our PBMC control was noted when A549 cells were 25% of the LN (p = 0.046) in both 3D cell aggregate models-where the LNs native parenchyma is replaced and the one where the tumor grows over the native parenchyma. For the anthracitic equivalents of these models, the first significant MFI compared to the control was when A549 cells were 9% of the LN (p = 0.002) in the former model, and 16.7% of the LN (p = 0.033) in the latter. In our spleen model, we first noted significance in MFI when A549 cells were 16.67% of the cellular composition.(p = 0.02). A + LN model allows for a granular evaluation of different cellular burdens in + LN that can be assessed using IMI. This first exvivo + LN model can be used in preclinical testing of several existing dyes and in creating more sensitive cameras for IMI-guided LN detection.
Identifiants
pubmed: 37398120
doi: 10.21203/rs.3.rs-2953015/v1
pmc: PMC10312951
pii:
doi:
Types de publication
Preprint
Langues
eng
Subventions
Organisme : NCI NIH HHS
ID : P01 CA254859
Pays : United States
Déclaration de conflit d'intérêts
Conflict of Interest The author(s) declare(s) that there is no conflict of interest regarding the publication of this article.