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  5. 1510 Multiomic functional biomarkers for cancer prediction and early detection

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Article
en
2023

1510 Multiomic functional biomarkers for cancer prediction and early detection

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en
2023
DOI: 10.1136/jitc-2023-sitc2023.1510

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Guido Guido Kroemer
Guido Guido Kroemer

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Marine Fidelle
Deborah Suissa
Roxanne Birebent
+17 more

Abstract

<h3>Background</h3> CD4<sup>+</sup> T cells play essential roles in the development and regulation of autoimmune diseases and cancer. Recently, we have developed single-domain antibodies that bind with high affinity to human CD4 receptor without affecting T cell function. The lead candidate was radiolabeled with NODAGA and Cu-64 (<sup>64</sup>Cu-αCD4-sdAb) for PET imaging. The aim of this study was to evaluate the applicability of our <sup>64</sup>Cu-αCD4-sdAb to visualize and differentiate minimal changes in the CD4<sup>+</sup> immune infiltrate during cancer immunotherapy and in inflamed tissue. <h3>Methods</h3> <sup>64</sup>Cu-αCD4-sdAb was administered intravenously in two orthotopic cancer models and a cutaneous Delayed-Type-Hypersensitivity-Reaction (cDTHR) model. In the first approach, PyMT breast cancer and B16 melanoma cells were implanted in C57BL/6J human-CD4 knock-in (hCD4<sup>KI</sup>) or wildtype (WT) mice. A subgroup of animals was additionally treated with therapeutic αPD1/α41BB antibodies. To induce cDTHR, hCD4<sup>KI</sup> mice were sensitized at the abdomen and repetitively challenged at one ear with trinitrochlorobenzene (TNCB). <sup>64</sup>Cu-αCD4-sdAb PET/MRI was conducted 24 h after the 5<sup>th</sup> TNCB-ear challenge and organs of interest were harvested for <i>ex vivo</i> biodistribution, immunohistochemistry or mass cytometry (CyTOF) analyses immediately after the last imaging time-point. <h3>Results</h3> Dynamic <sup>64</sup>Cu-αCD4-sdAb PET/MRI of PyMT tumors over 6 h revealed the best differentiation between hCD4<sup>KI</sup> and WT mice at 1.5 h and 3 h imaging time-point post tracer injection. In line with <i>ex vivo</i> analyses of intratumoral CD4<sup>+</sup> cell densities, αPD1/α41BB-treated PyMT tumors of hCD4<sup>KI</sup> mice showed significantly higher <sup>64</sup>Cu-αCD4-sdAb uptake (0.46±0.01%ID/ml) compared to untreated littermates (0.30±0.03%ID/ml) and PyMT tumors of WT mice (0.21±0.02%ID/ml). In contrast, B16 tumors with histologically almost absent CD4<sup>+</sup> cell infiltrates yielded an uptake of 0.23±0.02%ID/ml similar to WT mice. In the cDTHR model, the <sup>64</sup>Cu-αCD4-sdAb uptake in the inflamed ears was 3-fold higher compared to control ears. Importantly, a control sdAb tracer did not reveal such differences in the inflamed and non-inflamed ears, excluding relevant non-specific perfusion effects. Immunohistochemistry revealed a rare number of CD4+ cells in the inflamed tissues being detectable by out extremely sensitive PET/MRI approach. <h3>Conclusions</h3> Due to the important role of CD4<sup>+</sup> cells in health and disease, precise non-invasive imaging approaches to visualize and monitor CD4<sup>+</sup> cells <i>in vivo</i> are urgently needed. Our newly developed <sup>64</sup>Cu-αCD4-sdAb PET tracer is able to detect small amounts of CD4<sup>+</sup>-cell infiltrates in both cancer and cDTHR models, pointing out its potential to serve as a versatile probe for a broad range of T cell-associated diseases. <h3>Ethics Approval</h3> All animal experiments were carried out in accordance with the German Animal Welfare Act and with consent of regulatory authorities (Regierungspräsidium Tübingen).

How to cite this publication

Marine Fidelle, Deborah Suissa, Roxanne Birebent, Tarek Ben-Ahmed, Anne-Laure Mallard de la Varende, Carolina Alves Costa Silva, Quentin Blampey, Aymeric Silvin, Charles‐Antoine Dutertre, Sylvère Durand, Hui Chen, Olivier Caron, Olaf Mercier, Lisa Derosa, Guido Guido Kroemer, Aline Renneville, Damien Drubay, Suzette Delaloge, David Boulate, Laurence Zitvogel (2023). 1510 Multiomic functional biomarkers for cancer prediction and early detection. , DOI: https://doi.org/10.1136/jitc-2023-sitc2023.1510.

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Publication Details

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Article

Year

2023

Authors

20

Datasets

0

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Language

en

DOI

https://doi.org/10.1136/jitc-2023-sitc2023.1510

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