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Non-invasive fluorescent monitoring of ovarian cancer in an immunocompetent mouse model

journal contribution
posted on 2024-11-02, 10:40 authored by Amy Wilson, Kirsty Wilson, Maree Bilandzic, Laura Moffitt, Ming Makanji, Mark Gorrell, Martin Oehler, Adam Rainczuk, Andrew Stephens, Magdalena PlebanskiMagdalena Plebanski
Ovarian cancers (OCs) are the most lethal gynaecological malignancy, with high levels of relapse and acquired chemo-resistance. Whilst the tumour-immune nexus controls both cancer progression and regression, the lack of an appropriate system to accurately model tumour stage and immune status has hampered the validation of clinically relevant immunotherapies and therapeutic vaccines to date. To address this need, we stably integrated the near-infrared phytochrome iRFP720 at the ROSA26 genomic locus of ID8 mouse OC cells. Intrabursal ovarian implantation into C57BL/6 mice, followed by regular, non-invasive fluorescence imaging, permitted the direct visualization of tumour mass and distribution over the course of progression. Four distinct phases of tumour growth and dissemination were detectable over time that closely mimicked clinical OC progression. Progression-related changes in immune cells also paralleled typical immune profiles observed in human OCs. Specifically, we observed changes in both the CD8+ T cell effector (Teff):regulatory (Treg) ratio, as well as the dendritic cell (DC)-to-myeloid derived suppressor cell (MDSC) ratio over time across multiple immune cell compartments and in peritoneal ascites. Importantly, iRFP720 expression had no detectible influence over immune profiles. This new model permits non-invasive, longitudinal tumour monitoring whilst preserving host-tumour immune interactions, and allows for the pre-clinical assessment of immune profiles throughout disease progression as well as the direct visualization of therapeutic responses. This simple fluorescence-based approach provides a useful new tool for the validation of novel immuno-therapeutics against OC.

History

Related Materials

  1. 1.
    DOI - Is published in 10.3390/cancers11010032
  2. 2.
    ISSN - Is published in 20726694

Journal

Cancers

Volume

11

Number

32

Issue

1

Start page

1

End page

19

Total pages

19

Publisher

MDPIAG

Place published

Switzerland

Language

English

Copyright

© 2018 by the authors. Licensee MDPI, Basel, Switzerland. Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).

Former Identifier

2006092214

Esploro creation date

2020-06-22

Fedora creation date

2019-10-23

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