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Biology subjects

Chretien, A.-S.

Publications and source records attributed to Chretien, A.-S..

4 recordsLinked to original sources

PVR and Nectin-2 blockade trigger macrophage anti-tumor functions, promote immune cell recruitment and prevent cervical tumor growth.

Despite vaccination, cervical tumors remain a health issue and require treatment improvement. In 2023, Pembrolizumab, an anti-PD-1 immune checkpoint blockade (ICB), was introduced in the case of advanced or metastatic cervical tumors. This treatment significantly increased progression free survival from 20% to 50%. However, some patients remain resistant to anti-PD-1 treatment, which calls for new targets. In our study, we highlighted poliovirus receptor (PVR) and Nectin-2 as potential ICB targets. Indeed, PVR and Nectin-2 are TIGIT ligands, an immunomodulatory checkpoint expressed by regulatory T cells or exhausted T cells. The binding of PVR or Nectin-2 to TIGIT maintains the immunosuppressive signal in the immune cells allowing tumor progression. Furthermore, we observed that PVR and Nectin-2 were highly expressed on tumor cells and tumor associated macrophages (TAMs) accross the different histological subsets of cervical tumors. Therefore, we hypothesized that using anti-PVR and anti-Nectin-2 anti-bodies would lift immunosuppression in cervical tumors. To that end, we used CyTOF to asses precise immunophenotyping of the targets ex vivo, high throughput confocal microscopy to assess phagocytosis, monocyte derived macrophages (MDM) coupled with 3D cell culture models to assess the impact of our treatment on MDM and TAM repolarization and tumor growth. We could demonstrate that our treatment repolarized macrophages towards an inflammatory profile and that this was followed by a reactivation of macrophage cytotoxic function such as phagocytosis. We also demonstrated that anti-PVR and Nectin-2 treatment allowed the control of tumor growth in 2D and 3D cell culture models. We could also develop a pre-clinical model of autologous cell culture from cervical cancer patients. Using the MIVO technology, which combine organotypic culture and fluidics, we could assess peripheral blood mononuclear cells recruitment towards tumor cells in the presence or absence of anti-PVR and anti-Nectin-2. In conclusion we could demonstrate that targeting macrophages via the PVR/Nectin-2 couple reactivates cervical tumor growth control and improves immune cell recruitment.

immunology↗

CAR T cells targeting Nectin-4 safely overcome resistance to anti-Nectin-4 antibody-drug conjugate in solid tumors

Chimeric antigen receptor T (CAR T) cells represent a promising therapeutic option for a variety of cancers, including solid tumors. Nectin-4 is a cell adhesion molecule expressed at different levels in many solid tumors, including breast and urothelial carcinoma (UC). Enfortumab vedotin (EV), an antibody-drug conjugate (ADC) against Nectin-4, has significantly improved survival in patients with metastatic UC. Skin adverse reactions are frequently observed due to Nectin-4 expression in the epidermis. Here, we developed second-generation CAR T cells against Nectin-4 (N4CART) with a scFv that does not recognize human Nectin-4 expressed in skin keratinocytes. To study the effects of N4CART cell therapy, we used preclinical models of cell-derived xenografts (CDX) and patient-derived xenograft (PDX) of breast cancer expressing moderate to high levels of Nectin-4. We showed a marked efficacy with induction of remissions. Interestingly, N4CART cells kill Nectin-4-positive breast, urothelial and colon tumor cells, which are resistant to EV. Thus, N4CART cells represent a valuable and safe therapy for the treatment of patients with Nectin-4 expressing tumors, including those that are resistant to EV. Finally, baboon-envelope pseudotyped lentiviral vectors (LV) outperformed VSVG-LVs for Nectin-4 CAR expressing in {beta} T cells resulting in an efficient anti-tumoral response in PDX mice.

immunology↗

CytoBatchNorm: an R package with graphical interface for batch effects correction of cytometry data

Innovation in cytometry propelled it to an almost "omic" dimension technique during the last decade. The application fields concomitantly enlarged, resulting in generation of high-dimensional high-content data sets which have to be adequately designed, handled and analyzed. Experimental solutions and detailed data processing pipelines were developed to reduce both the staining conditions variability between samples and the number of tubes to handle. However, an unavoidable variability appears between samples, barcodes, series and instruments (in multicenter studies) contributing to "batch effects" that must be properly controlled. Computer aid to this aim is necessary, and several methods have been published so far, but configuring and carrying out batch normalization remains unintuitive for scientists with "pure" academic backgrounds in biology. To address this challenge, we developed an R package called CytoBatchNorm that offers an intuitive and user-friendly graphical interface. Although the processing is based on the script by Schuyler et al., the graphical interface revolutionizes its use. CytoBatchNorm enables users to define a specific correction for each marker in a single run. It provides a graph that guides you through quickly setting the correction for each marker. It allows corrections to be previewed and inter-marker effects to be checked as the settings are made. CytoBatchNorm will help the cytometry community to adequately scale data between batches, reliably reducing batch effects and improving subsequent dimension reduction and clustering. VISUAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=129 SRC="FIGDIR/small/596492v1_ufig1.gif" ALT="Figure 1"> View larger version (46K): org.highwire.dtl.DTLVardef@600a1eorg.highwire.dtl.DTLVardef@13860cborg.highwire.dtl.DTLVardef@5ad915org.highwire.dtl.DTLVardef@6218dc_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioinformatics↗

Tertiary lymphoid structures are associated with enhanced macrophage and dendritic cell activation and proximity to CD8+ T cells, which better predict the clinical outcome of cervical cancer patients

BackgroundCervical tumors are usually treated using surgery, chemotherapy, and radiotherapy, and would benefit from immunotherapies. However, the immune microenvironment in cervical cancer remains poorly described. Tertiary lymphoid structures (TLS) were recently described as markers for better immunotherapy response and overall better prognosis in cancer patients. MethodsWe integratedly evaluated the cervical tumor immune microenvironment, and specifically TLS importance, using combined high-throughput phenotyping, soluble factor dosage, spatial interaction analyses, and statistical analyses. ResultsWe demonstrate that TLS presence is associated with a more inflammatory soluble microenvironment, with the presence of B cells as well as more activated macrophages and dendritic cells (DCs). Furthermore, this myeloid cell activation is associated with expression of immune checkpoints, such as PD-L1 and CD40, and close proximity of activated conventional DC2 to CD8+ T cells, therefore indicating better immune interactions and tumor control. Finally, we associate TLS presence, greater B cell density, and activated DC density to improved progression-free survival, and present it as an additional prognostic marker. ConclusionTo conclude, our results provide an exhaustive depiction of the cervical tumor immune microenvironment where TLS presence marks cell activation and immunotherapy target expression. These findings provide predictive clues for patient response to targeted immunotherapies. SignificanceTLS maturation stratifies cervical cancer patients and associates with improved prognosis. TLS associate with the expression of immune checkpoints, notably in the macrophage compartment, which may represent a new therapeutic strategy.

immunology↗