Biology subjects

Vaysse, A.

Publications and source records attributed to Vaysse, A..

10 recordsLinked to original sources

bioRxiv2026

T cell engagers convert acute tumor killing into endogenous vaccination

T cell engagers (TCEs) redirect T cells to kill tumors by cross-linking CD3{varepsilon} to a tumor antigen, independently of T cell receptor specificity. Some patients achieve remissions that persist long after drug clearance, but whether TCEs can couple acute cytotoxicity to the generation of lasting adaptive immunity remains unknown. Here, using an immunocompetent mouse model for clinical-grade human TCEs, we show that TCE-mediated killing initiates an endogenous vaccination cascade. Intravital two-photon imaging reveals a perforin-dependent cytotoxic wave that peaks within 24 hours, then subsides despite massive T cell accumulation. Single-cell transcriptomics and adoptive transfers demonstrate that memory CD8 T cells, the principal effector reservoir in mouse and human, transit through a progenitor-like state before differentiating into cytotoxic effectors with recall competence. Crucially, tumor lysis fuels cross-priming of tumor-specific CD8 T cells by XCR1 type 1 conventional dendritic cells, a cDC1-dependent step essential for durable tumor control and protective memory upon rechallenge.

immunology↗

bioRxiv2026

CAR-MACROPHAGES ACTIVATE ANTI TUMOR T CELLS IN THE ABSENCE OF PHAGOCYTOSIS

Macrophages are highly abundant within the tumor microenvironment and serve as an essential bridge between innate and adaptive immune responses. Thus, they have emerged as promising candidates for chimeric antigen receptor (CAR)-based therapeutic strategies. Previous studies demonstrated that adenovirally-transduced CAR-macrophages (CAR-M), used in clinical trials, can perform tumor cell phagocytosis, reshape the tumor microenvironment towards a proinflammatory state, and promote host T cell activation. However, how early interactions between CAR-M and tumor cells shape subsequent T cell effector functions remains poorly understood. Particularly, uncoupling the adenoviral-induced proinflammatory phenotype from CAR-M effector functions remains to be dissected. Here, using phagocytosis-optimized CAR-Ms, we demonstrated that T cells are crucial mediators of CAR-M therapeutic efficacy. Mechanistically, we identify that CAR-M-derived cytokines and chemokines are key drivers of T cell functions while antigen cross presentation appears largely dispensable. Dynamic imaging of CAR-M-tumor cell interactions revealed heterogenous phagocytic abilities, regardless of contact duration. Finally, we show that non-phagocytic interactions can instruct pro-inflammatory macrophage repolarization and subsequent T cell activation. Altogether, these findings define an alternative mode of CAR-M action in which CAR engagement alone, independently of target cell uptake, is sufficient to enhance T cell functions. Our study underscores the importance of non-phagocytic CAR signaling as an additional mechanism for CAR-M effector functions opening new avenues for the design of next generation CAR for macrophage-based therapies.

immunology↗

bioRxiv2025

The E. coli CNF1 toxin induces fetal reprogramming of intestinal stem cells and a serrated colorectal cancer transcriptional signature in organoids

Mechanistic insights are essential to understand how gut microbiota pathobionts contribute to tumorigenesis, given the mounting evidence linking them to colorectal cancer. We report a higher prevalence of the Rho GTPases-targeting cnf1 toxin gene from Escherichia coli in the microbiota of early-stage, proximal colorectal cancer. Comparative gene set enrichment analysis reveals a concordant serrated pathway signature between colorectal cancer tissue of patients colonized with cnf1+ bacteria and CNF1-treated mouse intestinal organoids. RNA sequencing of organoids shows that CNF1 induces a fetal-like transcriptional reprogramming. Using integrated approaches, we demonstrate that CNF1 reprograms Lgr5 stem cells into a Ly6a/Sca-1 fetal-like state, that exhibits enhanced stemness potential. This reprogramming is preceded by a Yap/Taz-driven early transcriptional program and nuclear translocation of Yap. Functional analyses identify a RhoA/Rock-Yap/Taz-dependent transition to Ly6a/Sca-1 stem cells, highlighting a mechanistic link between bacterial effectors and stem cell plasticity in colorectal tumorigenesis.

cancer biology↗

bioRxiv2025

Poor prognosis in IBD-complicated colon cancer through gut dysbiosis-related immune response failure

BackgroundColorectal cancer (CRC) results from the accumulation of mutations and epigenetic changes in gut epithelial cells likely due to gut microbiota dysbiosis. However, limited research has been done to explore the link between host tumour dysbiosis and disease outcome. MethodsThe mechanisms influencing outcomes of 97 colorectal cancer (CRC) patients, including 13 with Lynch syndrome, 20 with inflammatory bowel disease (IBD), and 64 sporadic cases, were analyzed using a multiomics approach. These patients were categorized into two groups: "disease-free/stable disease" and "progression disease" survival outcomes. The analysis included tumor adherent microbiota composition (16S rRNA), somatic gene mutations (WES), gene expression (RNAseq), immune markers (RNAscope), and immune infiltrate cells (immunohistochemistry). ResultsIBD-CRC patients had worse outcomes than those with Lynch or sporadic CRC, regardless of TNM staging or treatment. Symbiotic bacteria like Lactococcus lactis were significantly reduced in IBD-CRC tissues. Patient outcomes were influenced by the abundance of virulent (Escherichia coli) relative to beneficial bacteria (Lactococcus lactis). Although no significant increase in deleterious somatic mutations was found in IBD-CRC. 16sRNA revealed increased virulent- and decreased anti-inflammatory symbiotic-bacteria correlating with the upregulation of oncogenes and downregulation of anti-oncogenes like PHLPP1. The multiplex in situ hybridization of CD8, IFN{gamma} and PHLPP1 an anti-oncogene revealed significant decrease of immune cells with detectable PHLPP1 expression in IBD-CRC tumour tissues as compared to sporadic CRCs. ConclusionThe poor outcomes in IBD-CRC patients are likely due to gut dysbiosis and immune cell alterations, possibly triggered by microbiota-related epigenetic pathways. What You Need to KnowO_ST_ABSBACKGROUND AND CONTEXTC_ST_ABSColorectal cancer (CRC) is associated with gut microbiota dysbiosis. Inflammatory bowel disease-related CRC (IBD-CRC) is classified as an environment-related condition. NEW FINDINGSIn relation with patient outcomes, tumour tissues from three types of CRC (Sporadic-, IBD-, and Lynch syndrome-CRC) were analyzed using a multiomic approach. This included examining tissue adherent virulent bacteria, gene analyses, and quantifying immune cell infiltration in the mucosa. IBD-CRC patients had the worst outcomes, associated with the down regulation of PHLPP1 gene, virulent/symbiotic imbalance, and immune response failure. LIMITATIONSLack of animal experiments using FMT of fresh stool from IBD-CRC patients. CLINICAL AND TRANSLATIONAL RESEARCH RELEVANCEAmong the different types of CRC, IBD-CRC patients showed a greater imbalance between harmful and beneficial bacteria, along with immune response failure. Lay summaryThis study compares the pathological and clinical characteristics of patients with colorectal cancer (CRC) across three distinct etiologies: sporadic CRC, inflammatory bowel disease (IBD)-associated CRC, and Lynch syndrome-associated CRC (LS-CRC). Distinct differences in tumor-adherent microbiota, gene expression and immune response profiles were observed. Notably, IBD-CRC patients demonstrated the poorest prognosis depending on microbe-host gene interaction highlighting potential biomarkers for disease prognosis and treatment strategies.

immunology↗

bioRxiv2023

Spatially-resolved metabolomic identifies colibactin-specific principles of reprogrammed lipid metabolism to promote cancer progression.

Intratumoral bacteria locally contribute to cellular and molecular tumor heterogeneity that support cancer stemness through poorly understood mechanisms. This study aims to explore how Colibactin-producing Escherichia coli (CoPEC) flexibly alters the tumor microenvironment in right-sided colorectal cancer (CRC). Metabolomic and transcriptomic spatial profiling uncovered that CoPEC colonization establishes a high-glycerophospholipid microenvironment within the tumor that is conducive to exhaustion of infiltrated CD8+ T cell and has a lowered prognostic value in right-sided CRC. Mechanistically, the accumulation of lipid droplets in infected cancer cells relied on the production of colibactin as a measure to limit genotoxic stress and supply with sufficient energy for sustaining cell survival and lowering tumor immunogenicity. Specifically, a heightened phosphatidylcholine remodeling of CoPEC-infected cancer cells by the enzyme of the Lands cycle coincided with a lowered accumulation of proapoptotic ceramide and lysophosphatidylcholine. Consequently, a reduced infiltration of CD8+ T lymphocytes that produce the cytotoxic cytokines IFN-{gamma} was found where invading bacteria have been geolocated. By contrast, such an immunosuppressive dysmetabolic process was not observed when human colon cancer cells were infected with the mutant strain that did not produce colibactin (11G5{delta}ClbQ). This work revealed an unexpected property of CoPEC on lipid overload within tumors that could locally provide an inflammatory environment leading to immunosuppressive mechanisms and tumor expansion. This may pave the way for improving chemoresistance and subsequently outcome of CRC patients who are colonized by CoPEC.

cancer biology↗

bioRxiv2022

IRF8 regulates efficacy of therapeutic anti-CD20 monoclonal antibodies

Anti-CD20 monoclonal antibodies such as Rituximab, Ofatumumab and Obinutuzumab are widely used to treat lymphomas and autoimmune diseases. They act by depleting B cells, mainly through Fc-dependent effectors functions. Some patients develop resistance to treatment but the underlying mechanisms are poorly understood. Here, we performed a genome-wide CRISPR/Cas9 screen to identify genes regulating the efficacy of anti-CD20 antibodies. We used as a model the killing of RAJI B cells by Rituximab through complement-dependent-cytotoxicity (CDC). As expected, the screen identified MS4A1, encoding CD20, the target of Rituximab. Among other identified genes, the role of Interferon Regulatory Factor 8 (IRF8) was validated in two B-cell lines. IRF8 knockout also decreased the efficacy of antibody-dependent cellular cytotoxicity and phagocytosis (ADCC and ADCP) induced by anti-CD20 antibodies. We further show that IRF8 is necessary for efficient CD20 transcription. Levels of IRF8 and CD20 RNA or proteins correlated in normal B cells and in hundreds of malignant B cells. Therefore, IRF8 regulates CD20 expression and controls the depleting-capacity of anti-CD20 antibodies. Our results bring novel insights into the pathways underlying resistance to CD20-targeting immunotherapies.

immunology↗

bioRxiv2020

The tree that hides the forest: identification of common predisposing loci in several hematopoietic cancers and several dog breeds.

Histiocytic sarcoma (HS) is a rare but aggressive cancer in humans and dogs. The spontaneous canine model, with the clinical, epidemiological and histological similarities with human HS and specific breed predispositions, is a unique model/opportunity to unravel the genetic bases of this cancer. In this study, we aimed to identify germline risk factors associated with the development of HS in canine predisposed breeds. We used a methodology that combined several genome-wide association studies in a multi-breed and multi-cancer approach, as well as targeted next generation sequencing, and imputation combining several breeds (Bernese mountain dog, Rottweiler, flat coated retriever and golden retriever) and three haematopoietic cancers (HS, lymphoma and mast cell tumor). Results showed that we not only refined the previously identified HS risk CDKN2A locus but we identified new loci on canine chromosomes 2, 5, 12, 14, 20, 26 and X. Capture and targeted sequencing of specific loci pointed towards the existence of regulatory variants in non coding regions and/or methylation mechanisms linked to risk haplotypes, leading to strong cancer predispositions in specific dog breeds. Our results showed that these canine cancer predisposing loci appear to be due to the additive effect of several risk haplotype involved also in other haematopoietic cancers such lymphoma or mast cell tumor, illustrating the pleiotropic nature of these canine cancer loci as observed in human oncology, thus reinforcing the interest of predisposed dog breeds to study cancer initiation and progression.

genetics↗

bioRxiv2020

Multitrait genetic-phenotype associations to connect disease variants and biological mechanisms

BackgroundGenome-wide association studies (GWAS) uncovered a wealth of associations between common variants and human phenotypes. These results, widely shared across the scientific community as summary statistics, fostered a flurry of secondary analysis: heritability and genetic correlation assessment, pleiotropy characterization and multitrait association test. Amongst these secondary analyses, a rising new field is the decomposition of multitrait genetic effects into distinct profiles of pleiotropy. ResultsWe conducted an integrative analysis of GWAS summary statistics from 36 phenotypes to decipher multitrait genetic architecture and its link to biological mechanisms. We started by benchmarking multitrait association tests on a large panel of phenotype sets and established the Omnibus test as the most powerful in practice. We detected 322 new associations that were not previously reported by univariate screening. Using independent significant associations, we investigated the breakdown of genetic association into clusters of variants harboring similar multitrait association profile. Focusing on two subsets of immunity and metabolism phenotypes, we then demonstrate how SNPs within clusters can be mapped to biological pathways and disease mechanisms, providing a putative insight for numerous SNPs with unknown biological function. Finally, for the metabolism set, we investigate the link between gene cluster assignment and success of drug targets in random control trials. We report additional uninvestigated drug targets classified by clusters. ConclusionsMultitrait genetic signals can be decomposed into distinct pleiotropy profiles that reveal consistent with pathways databases and random control trials. We propose this method for the mapping of unannotated SNPs to putative pathways.

genetics↗

bioRxiv2019

Mixed-model admixture mapping identifies smoking-dependent loci of lung function in African Americans

Admixture mapping has led to the discovery of many genes associated with differential disease risk by ancestry, highlighting the importance of ancestry-based approaches to association studies. However, the potential of admixture mapping in deciphering the interplay between genes and environment exposures has been seldom explored. Here, we performed a genome-wide screening of local ancestry-smoking interactions for five spirometric lung function phenotypes in 3,300 African Americans from the COPDGene study. To account for population structure and outcome heterogeneity across exposure groups, we developed a multi-component linear mixed model for mapping gene-environment interactions, and empirically showed its robustness and increased power. When applied to the COPDGene study, our approach identified two 11p15.2-3 and 2q37 loci, exhibiting local ancestry-smoking interactions at genome-wide significant level, that would have been missed by standard singlenucleotide polymorphism analyses. These two loci harbor the PARVA and RAB17 genes previously recognized to be involved in smoking behavior. Overall, our study provides the first evidence for potential synergistic effects between African ancestry and smoking on pulmonary function and underlines the importance of ethnic diversity in genetic studies.

genetics↗

bioRxiv2018

A comprehensive study of metabolite genetics reveals strong pleiotropy and heterogeneity across time and context

Genetic studies of metabolites have identified thousands of variants many of which are associated with downstream metabolic and obesogenic disorders. However, these studies have relied on univariate analyses, reducing power and limiting context specific understanding. Here we aim to provide an integrated perspective of the genetic basis of metabolites by leveraging the Finnish Metabolic Syndrome In Men (METSIM) cohort, a unique genetic resource which contains metabolic measurements across distinct timepoints as well as detailed information on statin usage. We increase effective sample size by an average of two-fold by applying the Covariates for Multi-phenotype Studies (CMS) approach, identifying 588 significant SNP-metabolite associations, including 248 novel associations. We further show that many of these SNPs are master metabolic regulators, balancing the relative proportion of dozens of metabolite levels. We then identify the first associations to changes in metabolic levels across time as well as evidence of genetic interaction with statin use. Finally, we show an overall decrease in genetic control of metabolic processes with age.

genetics↗