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Intra-Tumoral Nerve-Tracing in a Novel Syngeneic Model of High-Grade Serous Ovarian Carcinoma

Authors :
Jeffrey L. Barr
Allison Kruse
Anthony C. Restaino
Natalia Tulina
Sarah Stuckelberger
Samuel J. Vermeer
Caitlin S. Williamson
Daniel W. Vermeer
Marianna Madeo
Jillian Stamp
Maria Bell
Mark Morgan
Ju-Yoon Yoon
Marilyn A. Mitchell
Anna Budina
Dalia K. Omran
Lauren E. Schwartz
Ronny Drapkin
Paola D. Vermeer
Source :
Cells, Vol 10, Iss 12, p 3491 (2021)
Publication Year :
2021
Publisher :
MDPI AG, 2021.

Abstract

Dense tumor innervation is associated with enhanced cancer progression and poor prognosis. We observed innervation in breast, prostate, pancreatic, lung, liver, ovarian, and colon cancers. Defining innervation in high-grade serous ovarian carcinoma (HGSOC) was a focus since sensory innervation was observed whereas the normal tissue contains predominantly sympathetic input. The origin, specific nerve type, and the mechanisms promoting innervation and driving nerve-cancer cell communications in ovarian cancer remain largely unknown. The technique of neuro-tracing enhances the study of tumor innervation by offering a means for identification and mapping of nerve sources that may directly and indirectly affect the tumor microenvironment. Here, we establish a murine model of HGSOC and utilize image-guided microinjections of retrograde neuro-tracer to label tumor-infiltrating peripheral neurons, mapping their source and circuitry. We show that regional sensory neurons innervate HGSOC tumors. Interestingly, the axons within the tumor trace back to local dorsal root ganglia as well as jugular–nodose ganglia. Further manipulations of these tumor projecting neurons may define the neuronal contributions in tumor growth, invasion, metastasis, and responses to therapeutics.

Details

Language :
English
ISSN :
20734409
Volume :
10
Issue :
12
Database :
Directory of Open Access Journals
Journal :
Cells
Publication Type :
Academic Journal
Accession number :
edsdoj.0bd628c24b74ace80bfaa45a3eb3ebe
Document Type :
article
Full Text :
https://doi.org/10.3390/cells10123491