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Biology subjects

Caux, C.

Publications and source records attributed to Caux, C..

13 recordsLinked to original sources

Spatial tumour-immune ecosystems shape the efficacy of anti-PD1 immunotherapy in primary cutaneous melanoma

Intra-tumoral heterogeneity in melanoma arises from dynamic cancer cell plasticity and underlies various mechanisms of immune escape. Here, we combined high-plex immunofluorescence imaging with spatially resolved transcriptomics to map the architecture of melanoma cell states and their interactions with the immune microenvironment in primary cutaneous tumours prior to adjuvant anti-PD1 immune checkpoint inhibitor (ICI) treatment. Computational analyses showed that melanoma cells organise into spatially restricted patches, with a preferential organisation of undifferentiated cells associated with poor ICI efficacy. Neighbouring immune cell composition varied according to cancer cell states, with a crucial involvement of specific subsets of tumour-associated macrophages, driven by signalling pathways involving tumour-derived and microenvironmental cues such as IFN-{gamma} and hypoxia. Integrated spatial analyses further revealed tumour-immune ecosystems that stratify patient outcomes, delineating configurations either associated with ICI efficacy or metastatic relapse. These results uncover the spatial landscape of tumour ecosystems and identify signalling pathways as potential targets for improving the efficacy of ICI in melanoma. HighlightsO_LIMelanoma cell states spatial organization is associated with aPD1 therapy efficacy C_LIO_LISpatial organization of TAM subsets is a crucial determinant of ICI outcome C_LIO_LIMelanoma cells in different states co-localise with functionally distinct TAM subsets C_LIO_LIIdentification of cell-cell communication pathways that underlie tumour-TAM crosstalk C_LIO_LIA balance between tumour-immune ecosystems is associated with aPD1 therapy efficacy C_LI

cancer biology↗

IntegrAlign: A comprehensive tool for multiimmunofluorescence panel integration through image alignment

MotivationTyramide-based multiplex-immunofluorescence (mIF) enables the simultaneous analysis of up to seven protein markers on a whole slide, providing a comprehensive approach to study the tumor microenvironment. Integrating multiple mIF panels through image alignment of serial slide significantly expands the number of cell populations analyzed in a single space. IntegrAlign was developed to optimize this integration on serial whole slides, enhancing the value and applicability of mIF for comprehensive spatial analyses and enabling biomarker discovery at scale. ResultsIntegrAlign, leveraging the SimpleITK toolkit, applies a two-step alignment using rigid and B-spline transformations to integrate serial mIF whole slides. Validation on simulated and real datasets demonstrated alignment accuracy below the diameter of a cell nucleus ([~]6 {micro}m), outperforming existing methods. This precision enhances spatial analyses by combining extended phenotypic data, supporting novel insights into tissue architecture and cellular interactions. Availability and ImplementationIntegrAlign is open-source, implemented in Python, and freely available under the MIT license at https://github.com/CAUXlab/IntegrAlign.

bioinformatics↗

Oncogenic Stress is a Novel Immunogenic Signal Driven by the Unfolded Protein Response and Detected by Neutrophils

Breast cancer (BC) is the leading cause of cancer-related death in women. However, early detection of BC remains a major clinical challenge and represents a significant obstacle to effective prevention. To improve early clinical management, a deeper understanding of the preneoplastic immune microenvironment of BC is crucial. Among innate immune populations, neutrophils have emerged as important modulators of tumor development, but their role during the initiation of BC remains poorly understood. By integrating depletion experiments with transcriptomic profiling of sorted preneoplatic epithelial cells and neutrophils in spontaneous breast cancer mouse models, we observed that neutrophils contribute to tumor surveillance of preneoplastic stage with the activation of the unfolded protein response (UPR) in the preneoplastic epithelial compartment. To decipher the early anti-tumoral role of neutrophil, we developed an in vitro co-culture model of human mammary epithelial cells undergoing oncogenic stress with activation of the UPR (eHMEC), with human primary neutrophils. eHMEC display an immunoactive secretome as well as immunogenic membrane ligands, and neutrophils are the only immune cell population detecting eHMEC immunogenic signals leading to their recruitment, activation, production of reactive oxygen species and degranulation. Altogether, our work identifies for the first-time neutrophils as the earliest immune cell involved in immunosurveillance of preneoplastic BC epithelial cells, paving the way for potential therapeutic approaches targeting neutrophils to intercept early steps of BC tumorigenesis.

immunology↗

Loss of TLR9 expression in breast cancer tumour cells and its role in the cell cycle.

Toll-like receptor 9 (TLR9), primarily expressed in human dendritic and B cells, recognizes double-stranded DNA motifs from pathogens, initiating an inflammatory response. Recent studies have revealed TLR9s involvement beyond its conventional role in immune response, notably during the tumorigenesis of various cancers such as head and neck, cervical, and ovarian cancers. Here we show by immunohistochemistry analysis demonstrated significantly lower TLR9 levels in breast cancer tumors compared to normal breast tissue epithelium. Similarly, TLR9 downregulation was also observed in several transformed breast cancer cell lines versus untransformed breast epithelial cell lines. Furthermore, overexpression of TLR9 led to reduced proliferation potential of breast cancer cell associated with activation of senescence as was evident by upregulation of proinflammatory cytokine IL-6, chemokines IL-8 and CXCL1; and growth factor GM-CSF. These findings support TLR9s regulatory role in mitigating breast cancer and highlight its critical connection between the inflammatory response and tumor immunity.

cell biology↗

Spatial architecture of CD8+ T cells and DC subsets is critical for the response to immune checkpoint inhibitors in melanoma

BackgroundDendritic cells (DCs) are promising targets for cancer immunotherapies owing to their central role in the initiation and the control of immune responses. Their functions encompass a wide range of mechanisms mediated by different DC subsets. Several studies have identified human tumor- associated DC (TA-DC) populations through limited marker-based technologies, such as immunostaining or flow cytometry. However, tumor infiltration, spatial organization and specific functions in response to immunotherapy of each DC subset remain to be defined. MethodsHere, we implemented a multiplexed immunofluorescence analysis pipeline coupled with bio-informatic analyses to decipher the tumor DC landscape and its spatial organization within melanoma patients lesions, and its association with patients response to immune checkpoint inhibitors (ICI). For this aim, we analyze a cohort of 41 advanced melanoma patients treated with anti- PD1 alone or associated with anti-CTLA4. Distance and cell network analyses were performed to gain further insight into the spatial organization of tumor-associated DCs. A Digital Spatial Profiling analysis further characterized ecosystem of tumor-infiltrating DCs. ResultsPlasmacytoid DCs (pDCs) were the most abundant DC population, followed by conventional cDC1 and mature DCs, present in equal proportions. In contrast to CD8+ T cell frequency, and despite varying densities, all DC subsets were associated with a favorable response to ICI. Distance and cell network analyses demonstrated that tumor-infiltrating DCs were largely organized in dense areas with high homotypic connections, except for cDC1 that exhibited a more scattered distribution. We identified four patterns of ecosystems with distinct preferential interactions between DC subsets. Significantly, the proximity and interactions between CD8+ T cells and cDC1 were positively associated with patients response to ICI. ConclusionsOur study unravels the complex spatial organization of DC subsets and their interactions in melanoma patient lesions, shedding light on their pivotal role in shaping the response to ICI. Our discoveries regarding the spatial arrangement of cDC1, especially with CD8+ T cells, provide valuable clues for improving immunotherapeutic strategies in melanoma patients. What is already known on this topicDendritic cells (DCs) are promising targets for cancer immunotherapies owing to their central role in the initiation and the control of immune responses. Although conventional type 1 dendritic cells (cDC1) were proposed to contribute to immunotherapy response, their precise functions and interactions with other immune populations in human cancers are largely unknown. What this study addsThis study provides a precise characterization of the spatial distribution and organization of tumor- infiltrating DCs in a large cohort of advanced melanoma patients, and in correlation with response to immunotherapy. While DCs are organized in dense areas with high homotypic connections, cDC1 exhibit a more scattered distribution and form heterotypic aggregates with other DC subsets. More importantly, a close connection between cDC1 and CD8 T cell is uniquely correlated with the patients response to immunotherapy. How this study might affect research, practice or policyThis study improves our understanding of CD8-DC spatial organization within the tumor microenvironment and will have a broad spectrum of implications in the design of anti-tumor immune-activating compounds and the design of biomarkers of response to immunotherapy for melanoma patients.

cancer biology↗

Spatial transcriptomics reveal pitfalls and opportunities for the detection of rare high-plasticity breast cancer subtypes

Breast cancer is one of the most prominent types of cancers, in which therapeutic resistance is still a major clinical hurdle. Specific subtypes like Claudin-low (CL) and metaplastic breast cancers (MpBC) have been associated with high non-genetic plasticity, which can facilitate resistance. The overlaps and differences between these orthogonal subtypes, respectively identified by molecular and histopathological analyses, are however still insufficiently characterised. Adequate methods to identify high-plasticity tumours to better anticipate resistance are furthermore still lacking. Here we analysed 11 triple negative breast tumours, including 3 CL and 4 MpBC samples, via high-resolution spatial transcriptomics. We combined pathological annotations and deconvolution approaches to precisely identify tumour spots, on which we performed signature enrichment, differential expression and copy-number analyses. We used the TCGA and CCLE public databases for external validation of expression markers. By levying spatial transcriptomics to focus analyses only to tumour cells in MpBC samples, and therefore bypassing the negative impact of stromal contamination, we could identify specific markers that are not expressed in other subtypes nor stromal cells. Three markers (BMPER, POPDC3 and SH3RF3) could furthermore be validated in external expression databases encompassing bulk tumour material and stroma-free cell lines. We find that existing bulk expression signatures of high-plasticity breast cancers are relevant in mesenchymal transdifferentiated compartments but can be hindered by stromal cell prevalence in tumour samples, negatively impacting their clinical applicability. Spatial transcriptomics analyses can however help identify more specific expression markers, and could thus enhance diagnosis and clinical care of rare high-plasticity breast cancers.

cancer biology↗

IL-33 drives polyfunctionality and antitumor activity of a unique ST2+ NK cell population

Despite increasing recognition of NK cell diversity, their functional heterogeneity and its relevance to cancer remain incompletely understood. Here, we show that IL-12 promotes the emergence of a distinct ST2/IL33R+ NK cell state poised for robust activation by IL-33. Human ST2 NK cells exhibit a unique transcriptional program, an intermediate differentiation state between CD56bright and CD56dim NK cells, and enhanced polyfunctionality combining proliferation, cytokine production, and cytotoxicity. ST2 NK cells were identified across human and murine tumor datasets. In murine breast cancer models, IL-33 and IL-12 cooperated to elicit potent antitumor responses dependent on IFN-{gamma} and ST2 NK cells. In cancer patients, IL-12 unleashed tumor-infiltrating ST2 NK cells' potential to produce IFN-g in response to IL-33, an IL33hi-NKhi score was associated with prolonged survival, and ST2 NK cells correlated with improved immunotherapy response. Collectively, these findings identify ST2 NK cells as a therapeutically actionable NK cell state promoting antitumor immunity.

cancer biology↗

CD4 T cells and neutrophils contribute to epithelial-mesenchymal transition in breast cancer

Epithelial-mesenchymal transition (EMT) is a central oncogenic mechanism, contributing both to transformation and metastatic dissemination. Inflammation and innate immune cells are known to favor EMT induction, but the role of adaptive immunity still remains unclear. Using an original murine mammary tumor model in immune cell subpopulation depletion experiments, we demonstrated that tumor cells maintain their epithelial phenotype in mice deficient for adaptive immune response, but undergo EMT in the presence of T-cells. This phenotypic conversion involves the major contribution of CD4 T cells, but not CD8 T cells nor B cells, undoubtedly demonstrating the pro-EMT role of CD4 T cells specifically among adaptive immune cells. Moreover, combined intra-tumor immune infiltrate and transcriptomic analyses of murine mammary tumors with various EMT phenotype revealed an inverse correlation between mesenchymal tumor cell and intratumoral neutrophil proportions, due to the reduced ability of mesenchymal cells to recruit neutrophils. Last, selective in vivo depletion of neutrophils and transcriptomic analysis of human breast tumor cohorts demonstrated the pro-EMT role of neutrophils and suggest a cooperation with CD4 T cells in EMT promotion. Collectively, our data highlight a novel mechanism of EMT regulation by both innate and adaptive immune compartments.

cancer biology↗

Gene signature of circulating platelet-bound neutrophils is associated with poor prognosis in cancer patients

Beyond their critical role in hemostasis, platelets physically interact with neutrophils to form neutrophil-platelet aggregates (NPAs), enhancing neutrophil effector functions during inflammation. NPAs may also promote disease worsening in various inflammatory diseases. However, characterization of NPAs in cancer remains totally unexplored. Using ImageStream(R)X (ISX) imaging flow cytometer, we were not only allowed able to detect CD15+ CD14- CD36+ ITGA2B+ NPAs in both healthy donors (HDs) and cancer patients bloods, but we also showed that NPAs result from the binding of platelets preferentially to low-density neutrophils (LDNs) as opposed to normal-density neutrophils (NDNs). By re-analyzing two independent public scRNAseq data of whole blood leukocytes from cancer patients and HDs, we could identify a subset of neutrophils with high platelet gene expression that may correspond to NPAs. Moreover, we showed that cancer patients derived NPAs possessed a distinct molecular signature compared with the other neutrophil subsets, independently of platelet genes. Gene ontology (GO) term enrichment analysis of this NPAs-associated neutrophil transcriptomic signature revealed a significant enrichment of neutrophil degranulation, chemotaxis and trans-endothelial migration GO terms. Lastly, using The Cancer Genome Atlas (TCGA), we could show by multivariate Cox analysis that the NPAs-associated neutrophil transcriptomic signature was associated with a worse patient prognosis in several cancer types. These results suggest that neutrophils from NPAs are systemically primed by platelets empowering them with cancer progression capacities once at tumor site. NPAs may therefore hold clinical utility as novel non-invasive blood prognostic biomarker in cancer patients with solid tumors. Novelty and ImpactPlatelets physically interact with peripheral blood neutrophils to form neutrophil-platelet aggregates (NPAs), known to promote disease worsening in various inflammatory diseases. However, characterization of NPAs in cancer remains totally unexplored. We showed that NPAs-associated neutrophils were a yet-unreported unique subset of circulating neutrophils associated with a worse patient prognosis in several cancer types. NPAs may hold clinical utility as novel non-invasive blood prognostic biomarker in cancer patients with solid tumors.

immunology↗

cDC1 and interferons promote spontaneous CD4+ and CD8+ T cell protective responses to breast cancer

Here we show that efficient breast cancer immunosurveillance relies on cDC1, conventional CD4+ T cells, CD8+ cytotoxic T lymphocytes (CTL) and later NK/NK T cells. For this process, cDC1 were required constitutively, but especially during the T cell priming phase. In the tumor microenvironment, cDC1 interacted physically and jointly with both CD4+ T cells and tumorspecific CD8+ T cells. We found that interferon (IFN) responses were necessary for the rejection of breast cancer, including cDC1-intrinsic signaling by IFN-{gamma} and STAT1. Surprisingly, cell-intrinsic IFN-I signaling in cDC1 was not required. cDC1 and IFNs shaped the tumor immune landscape, notably by promoting CD4+ and CD8+ T cell infiltration, terminal differentiation and effector functions. XCR1, CXCL9, IL-12 and IL-15 were individually dispensable for breast cancer immunosurveillance. Consistent with our experimental results in mice, high expression in the tumor microenvironment of genes specific to cDC1, CTL, helper T cells or interferon responses are associated with a better prognosis in human breast cancer patients. Our results show that immune control of breast cancer depends on cDC1 and IFNs as previously reported for immunogenic melanoma or fibrosarcoma tumor models, but that the underlying mechanism differ. Revisiting cDC1 functions in the context of spontaneous immunity to cancer should help defining new ways to mobilize cDC1 functions to improve already existing immunotherapies for the benefits of patients. SynopsisType 1 conventional dendritic cells cross-present tumor antigens to CD8+ T cells. Understanding the regulation of their antitumor functions is important. Cell-intrinsic STAT1/IFN-{gamma} signaling licenses them for efficient CD4+ and CD8+ T cell activation during breast cancer immunosurveillance.

immunology↗

Efficient and specific Ly6G+ cell depletion: A change in the current practices toward more relevant functional analyses of neutrophils

Neutrophils orchestrate the innate immune response against microorganisms and are increasingly recognized to modulate cancer development in primary tumors and metastases. To address their function in vivo, different approaches are used, the most common ones relying on antibody-mediated neutrophil depletion. By comparing the effects of two widely used antibodies, we demonstrate a strong efficacy but a lack of specificity for anti-Gr1. In contrast, anti-Ly6G lacks neutrophil-depletion capacity in C57BL/6 mice, which can be explained by an insufficient celerity of neutrophil clearance that is counterbalanced by exacerbated mobilization of immature cells. When combined with a secondary antibody, anti-Ly6G treatment results in specific and efficient neutrophil depletion. Using a mouse model of lung adenocarcinoma, we demonstrate the efficacy of this new approach to diminish primary tumor growth and propose the existence of a local intercellular communication between neutrophils and alveolar macrophages that fosters regulatory T cell proliferation in lung cancer.

immunology↗

Redefining mesothelioma types as a continuum uncovers the immune and vascular systems as key players in the diagnosis and prognosis of this disease

Malignant Pleural Mesothelioma (MPM) is an aggressive disease related to asbestos exposure, which incidence is expected to increase in the future, and with no effective therapeutic options. We have performed unsupervised analyses of publicly available RNAseq data for 297 MPM. We found that the molecular profile and the prognosis of this disease is better explained by a continuous model rather than by the current WHO classification into the epitheloid, biphasic and sarcomatoid histological types. The main source of variation of this continuum was explained by the immune and vascular pathways, with strong differences in the expression of pro-angiogenic genes and immune checkpoint inhibitors across samples. These data may inform future classifications of MPM and may also guide personalised therapeutic approaches for this disease.\n\nSignificanceMalignant Pleural Mesothelioma (MPM) is an aggressive disease with no effective therapeutic options. Unsupervised transcriptomic analyses of 297 MPM unveiled the vascular and the immune systems as key players in the prognosis of this disease, and identified potential therapeutic approaches for this disease targeting these pathways.

cancer biology↗

A novel combination of cyclophosphamide and anti-ICOS mAb prevents tumor growth by affecting regulatory T cells in mice with a human immune system

Mice reconstituted with a human immune system and bearing human tumors represent a promising model for developing novel cancer immunotherapies. Here, we used mass cytometry and multi-parametric flow cytometry to characterize human leukocytes infiltrating a human breast cancer tumor model in immunocompromised NOD.SCID.{gamma}c-null mice reconstituted with a human immune system and compared it to samples of breast cancer patients. We observed highly activated human CD4+ and CD8+ T cells in the tumor, as well as minor subsets of innate immune cells in both settings. We also report that ICOS+ CD4+ regulatory T cells (Treg) were enriched in the tumor relative to the periphery in humanized mice and patients, providing a target to affect Treg and tumor growth. Indeed, administration of a neutralizing mAb to human ICOS reduced Treg proportions and numbers and improved CD4+ T cell proliferation in humanized mice. Moreover, a combination of the anti-ICOS mAb with cyclophosphamide reduced tumor growth, and that was associated with an improved CD8 to Treg ratio. However, depletion of human CD8+ T cells only marginally affected tumor control whereas depletion of murine myeloid cells abrogated the effect of the combination therapy. Altogether, our results indicate that a combination of anti-ICOS mAb and chemotherapy controls tumor growth in humanized mice and highlight the crucial implication of innate immunity in treatment efficacy, opening new perspectives for the treatment of breast cancer.\n\nOne sentence summaryICOS expressed on Tregs is a promising target to improve tumor immunity in humans\n\nAbbreviations

immunology↗