CE18 - Innovation biomédicale 2022

Predictive biomarker for immunotherapy of cancer targeting a ganglioside – PREDIGANG

O-acetyl GD2 (OAcGD2): Towards a more targeted, safer and personalized anticancer immunotherapy

This project aims to characterize the expression and functional role of the ganglioside OAcGD2 in different tumor models and to assess its relevance as a predictive biomarker for the monitoring of the targeted immunotherapies, optimization of patient selection and improvement of benefit–risk ratio of treatments.

Scientific and medical challenges of targeting OAcGD2 for the development of a predictive biomarker in immunotherapy

Glycosphingolipids are now recognized as major players in tumor progression and represent diagnostic biomarkers as well as potential targets for immunotherapy. However, for certain gangliosides, their high expression level in healthy tissues (for example in the nervous system), where they play essential roles in membrane organization and signaling, limits their therapeutic use because of the high risk of toxicity. The ganglioside GD2 illustrates this issue. Although it is a validated therapeutic target in some cancers, particularly neuroblastoma, its expression in nerve fibers is associated with significant adverse effects (notably frequent neuropathic pain), which limits its clinical use and its extension to other cancer types. In this context, O-acetylated forms of gangliosides, such as OAcGD2 and OAcGD3, have emerged as promising therapeutic targets because of their more specific expression in tumor cells and their limited presence in healthy tissues. These features suggest a better safety profile while preserving strong potential for specific targeting and therapeutic efficacy. Biologically, gangliosides are involved in key processes of carcinogenesis, including proliferation, migration, adaptation to the tumor microenvironment and resistance to treatment. Their expression is also associated with specific cellular subpopulations that contribute to tumor aggressiveness and relapse. In this context, identifying predictive biomarkers for immunotherapy response monitoring is a major challenge in order to optimize patient selection, improve the benefit–risk ratio of treatments and support the development of more targeted therapeutic strategies. The PREDIGANG project aims to develop an integrated approach to better characterize OAcGD2 expression in different tumor models and to assess its relevance in immunotherapy strategies. The objectives are: • To map OAcGD2 expression across various tumor models using complementary approaches. • To assess the impact of targeted therapeutic strategies, alone or in combination with standard treatments. • To identify potential mechanisms of resistance. This project aims to contribute to the development of new precision medicine approaches by improving our understanding of immunotherapy response mechanisms and by facilitating their translation into clinical practice.

The project is based on an integrative approach combining molecular, histological and functional analyses to establish a comprehensive, multidimensional map of target expression. This strategy is applied to a broad panel of preclinical PDX models and coupled with the evaluation of various therapeutic modalities, with the aim of exploring the potential of OAcGD2 as a biomarker and clarifying its relevance from a translational perspective.

The PREDIGANG project has generated results providing major insights into the expression, quantification and therapeutic potential of OAcGD2 in patient-derived tumor xenograft mouse models (PDX). The integration of several complementary analytical approaches permitted to establish a precise, robust and reproducible map of OAcGD2 expression in these models.

The therapeutic strategies evaluated were well tolerated in experimental conditions tested, without significant adverse effects. Antitumor activity of the anti-OAcGD2 antibody was also observed in certain PDX models, highlighting the relevance of this approach.

However, antitumoral response in this panel of PDX models remains limited. This limitation is not linked to loss or heterogeneity of target expression but rather reflects the intrinsic constraints of the preclinical Nude mice PDX models used in this project. These model-related limitations restrict the full assessment of complex mechanisms of action, especially those involving immune effector cells.

 

Although encouraging findings, these results highlight the need of employing more physiologically relevant experimental models, particularly those capable to integrate the complexity of tumor microenvironment and to incorporate a more appropriate immune component.

In this context, the implementation of advanced analytical approaches—such as humanized models and comprehensive longitudinal analyses—appears critical for refining the assessment of the therapeutic potential of OAcGD2 and enhancing its translational relevance. Overall, these strategic approaches would provide a solid base for the integration of predictive biomarkers into future clinical developments. Considering both target expression and contextual parameters, including tumor type and associated therapies, represents a key element to optimize patient stratification and maximize therapeutic efficacy.

 

The primary objective of the PREDIGANG project is to develop a reliable predictive biomarker for the tumor response to anticancer immunotherapies targeting the O-acetylated form of the GD2 ganglioside (OAcGD2 ) using Patient Derived tumors Xenografted in mice. The secondary objective is to better understand the mechanism of differential OAcGD2 expression in tumors and its potential role in resistance to targeted immunothérapies.

Project coordination

OGD2 PHARMA (PME (petite et moyenne entreprise))

The author of this summary is the project coordinator, who is responsible for the content of this summary. The ANR declines any responsibility as for its contents.

Partnership

PATHEX Ensemble Hospitalier Curie Paris
DRT Institut Curie Paris
OGD2 PHARMA
CCB Cellular and Chemical Biology

Help of the ANR 640,530 euros
Beginning and duration of the scientific project: December 2022 - 24 Months

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