9 results on '"Velut Y"'
Search Results
2. Analyse du microenvironnement immunitaire par immunohistochimie multiplex dans le cancer bronchopulmonaire non à petites cellules localement évolué : principes et perspectives
- Author
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Boulle, G., Velut, Y., Boni, A., Lupo, A., Alifano, M., Trédaniel, J., Giraud, P., and Damotte, D.
- Published
- 2018
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3. Caractérisation immunitaire des cancers bronchiques à petites cellules
- Author
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Arqué, B., primary, Boni, A., additional, Velut, Y., additional, Alifano, M., additional, Cremer, I., additional, Wislez, M., additional, Damotte, D., additional, and Lupo, A., additional
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- 2023
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4. Chemoradiotherapy efficacy is predicted by intra-tumour CD8+/FoxP3+ double positive T cell density in locally advanced N2 non–small-cell lung carcinoma
- Author
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Boulle, G., primary, Velut, Y., additional, Mansuet-Lupo, A., additional, Gibault, L., additional, Blons, H., additional, Fournel, L., additional, Boni, A., additional, Cremer, I., additional, Wislez, M., additional, Duchatelle, V., additional, Trédaniel, J., additional, Hammond, S.A., additional, Herbst, R., additional, Alifano, M., additional, Giraud, P., additional, and Damotte, D., additional
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- 2020
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5. The tumor immune microenvironment of SCLC is not associated with its molecular subtypes.
- Author
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Velut Y, Arqué B, Wislez M, Blons H, Burroni B, Prieto M, Beau S, Fournel L, Birsen G, Cremer I, Alifano M, Damotte D, and Mansuet-Lupo A
- Subjects
- Humans, Male, Female, Retrospective Studies, Middle Aged, Aged, Prognosis, Adult, Aged, 80 and over, B7-H1 Antigen metabolism, Lymphocytes, Tumor-Infiltrating immunology, Lymphocytes, Tumor-Infiltrating metabolism, Carcinoma, Non-Small-Cell Lung immunology, Carcinoma, Non-Small-Cell Lung pathology, Tumor Microenvironment immunology, Small Cell Lung Carcinoma immunology, Small Cell Lung Carcinoma pathology, Lung Neoplasms immunology, Lung Neoplasms pathology, Lung Neoplasms mortality, Biomarkers, Tumor metabolism
- Abstract
Introduction: Small-cell lung carcinoma (SCLC) is a high-grade neuroendocrine carcinoma of poor prognosis. Although immune checkpoint blockers have shown promising results in advanced SCLC, the tumor immune microenvironment (TME) remains poorly understood, with no validated prognostic or predictive biomarkers of efficacy., Methods: This retrospective study included surgically samples from 48 SCLC patients between 2009 and 2018. We assessed the TME using two quantitative 7-plex immunofluorescence panels focusing on T and B cells, and compared it to NSCLC (N = 10). Molecular subtypes were determined by assessing the expression of ASCL1, NEUROD1 and YAP1 using immunohistochemistry., Results: Immune-hot SCLC were defined as those exhibiting the highest immune cell and immune-related marker densities. They were associated with longer overall survival, significantly more frequently detected at early stages, and exhibited high PD-L1 expression in immune cells, but were not associated with molecular subtypes. Compared to NSCLC, SCLC had significantly lower densities of CD20 + cells and higher density of PD1 + cells, with no significant differences in CD4 + , CD8 + and plasma cell densities. In univariate analysis, the highest OS was significantly associated with early stage (p < 0.001), low expression of NEUROD1 (p = 0.047), high PD1 + cell density (p < 0.001) and high PD-L1 immune cell expression (p = 0.04). Only stage and PD1 + cell density emerged as independent prognostic markers., Conclusion: SCLC TME is highly heterogeneous. Immune-hot tumors were associated with OS but not with molecular classification. PD1 expression and PD-L1 expression by immune cells may thus serve as a prognostic marker., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)
- Published
- 2024
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6. Antagonistic actions of PAK1 and NF2/Merlin drive myelin membrane expansion in oligodendrocytes.
- Author
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Baudouin L, Adès N, Kanté K, Bachelin C, Hmidan H, Deboux C, Panic R, Ben Messaoud R, Velut Y, Hamada S, Pionneau C, Duarte K, Poëa-Guyon S, Barnier JV, Nait Oumesmar B, and Bouslama-Oueghlani L
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- Animals, Neurofibromin 2 metabolism, Neurofibromin 2 genetics, Rats, Actins metabolism, Cells, Cultured, Mice, Mice, Inbred C57BL, Actin Cytoskeleton metabolism, p21-Activated Kinases metabolism, Oligodendroglia metabolism, Myelin Sheath metabolism
- Abstract
In the central nervous system, the formation of myelin by oligodendrocytes (OLs) relies on the switch from the polymerization of the actin cytoskeleton to its depolymerization. The molecular mechanisms that trigger this switch have yet to be elucidated. Here, we identified P21-activated kinase 1 (PAK1) as a major regulator of actin depolymerization in OLs. Our results demonstrate that PAK1 accumulates in OLs in a kinase-inhibited form, triggering actin disassembly and, consequently, myelin membrane expansion. Remarkably, proteomic analysis of PAK1 binding partners enabled the identification of NF2/Merlin as its endogenous inhibitor. Our findings indicate that Nf2 knockdown in OLs results in PAK1 activation, actin polymerization, and a reduction in OL myelin membrane expansion. This effect is rescued by treatment with a PAK1 inhibitor. We also provide evidence that the specific Pak1 loss-of-function in oligodendroglia stimulates the thickening of myelin sheaths in vivo. Overall, our data indicate that the antagonistic actions of PAK1 and NF2/Merlin on the actin cytoskeleton of the OLs are critical for proper myelin formation. These findings have broad mechanistic and therapeutic implications in demyelinating diseases and neurodevelopmental disorders., (© 2024 The Author(s). GLIA published by Wiley Periodicals LLC.)
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- 2024
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7. SMARCA4-deficient lung carcinoma is an aggressive tumor highly infiltrated by FOXP3+ cells and neutrophils.
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Velut Y, Decroix E, Blons H, Alifano M, Leroy K, Petitprez F, Boni A, Garinet S, Biton J, Cremer I, Wislez M, Boudou-Rouquette P, Arrondeau J, Goldwasser F, Fournel L, Damotte D, and Mansuet-Lupo A
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- Biomarkers, Tumor metabolism, DNA Helicases genetics, Forkhead Transcription Factors genetics, Humans, Lung pathology, Neutrophils pathology, Nuclear Proteins genetics, Transcription Factors genetics, Adenocarcinoma pathology, Carcinoma, Non-Small-Cell Lung drug therapy, Lung Neoplasms pathology
- Abstract
Introduction: SMARCA4/BRG1 loss of expression occurs in 5-10% of non-small cell lung carcinomas (NSCLC). We investigated the pathological, molecular and immune environment characteristics of this deficiency among NSCLC, its impact on overall survival (OS) of resected patients and the sensitivity to anti-PD1 inhibitors in metastatic patients., Materials and Methods: BRG1 expression was assessed by immunohistochemistry to identify SMARCA4-deficient NSCLC (SD-NSCLC) from the cancer tissue collection of Cochin Hospital (Paris, France). Molecular profiles were analyzed by targeted NGS covering 28 genes in 63 resected SD-NSCLC. The balance of immune cells between CD8+, FOXP3+ cells and neutrophils (CD66b+) was characterized by multiplex immunohistochemistry and compared to non-SD NSCLC. Clinical outcome after anti-PD-1 therapy was evaluated in 7 SD-NSCLC out of 77 NSCLC patients., Results: SD-NSCLCs were more commonly found in TTF1-negative high-grade adenocarcinomas and pleomorphic carcinomas. They were associated with few targetable alterations (KRAS G12C and MET amplification). Their immune environment was characterized by an increased of FOXP3+ cell and neutrophil densities, but not of CD8+ T cells, compared to non-SD NSCLC. SD-NSCLC patients had a significantly shorter OS in early stages of resected patients and in metastatic patients treated by anti-PD1 treatment., Conclusion: BRG1-loss in NSCLC confers a poor prognosis and is associated with an immunosuppressive environment that could be responsible of limited efficacy to anti-PD1 inhibitors. The identification of SD-NSCLC by BRG1 immunohistochemistry is desirable for an optimal management of NSCLC patients., (Copyright © 2022 Elsevier B.V. All rights reserved.)
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- 2022
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8. Co-culture of exogenous oligodendrocytes with unmyelinated cerebella: Revisiting ex vivo models and new tools to study myelination.
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Baudouin L, Adès N, Kanté K, Czarnecki A, Bachelin C, Baskaran A, Langui D, Millécamps A, Gurchenkov B, Velut Y, Duarte K, Barnier JV, Nait Oumesmar B, and Bouslama-Oueghlani L
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- Cell Differentiation physiology, Coculture Techniques, Myelin Sheath physiology, Oligodendrocyte Precursor Cells, Oligodendroglia physiology
- Abstract
Common in vitro models used to study the mechanisms regulating myelination rely on co-cultures of oligodendrocyte precursor cells (OPCs) and neurons. In such models, myelination occurs in an environment that does not fully reflect cell-cell interactions and environmental cues present in vivo. To avoid these limitations while specifically manipulating oligodendroglial cells, we developed a reliable ex vivo model of myelination by seeding OPCs on cerebellar slices, deprived of their endogenous oligodendrocytes. We showed that exogenous OPCs seeded on unmyelinated cerebella, efficiently differentiate and form compact myelin. Spectral confocal reflectance microscopy and electron microscopy analysis revealed that the density of compacted myelin sheaths highly increases all along the culture. Importantly, we defined the appropriate culture time frame to study OPC differentiation and myelination, using accurate quantification resources we generated. Thus, this model is a powerful tool to study the cellular and molecular mechanisms of OPC differentiation and myelination. Moreover, it is suitable for the development and validation of new therapies for myelin-related disorders such as multiple sclerosis and psychiatric diseases., (© 2021 Wiley Periodicals LLC.)
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- 2021
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9. Proposal for a Combined Histomolecular Algorithm to Distinguish Multiple Primary Adenocarcinomas from Intrapulmonary Metastasis in Patients with Multiple Lung Tumors.
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Mansuet-Lupo A, Barritault M, Alifano M, Janet-Vendroux A, Zarmaev M, Biton J, Velut Y, Le Hay C, Cremer I, Régnard JF, Fournel L, Rance B, Wislez M, Laurent-Puig P, Herbst R, Damotte D, and Blons H
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- Adenocarcinoma pathology, Adult, Aged, Aged, 80 and over, Algorithms, Female, Humans, Lung Neoplasms pathology, Male, Middle Aged, Neoplasm Metastasis, Adenocarcinoma complications, High-Throughput Nucleotide Sequencing methods, Lung Neoplasms secondary, Neoplasms, Multiple Primary complications
- Abstract
Introduction: Multiple nodules in the lung are being diagnosed with an increasing frequency thanks to high-quality computed tomography imaging. In patients with lung cancer, this situation represents up to 10% of patients who have an operation. For clinical management, it is important to classify the disease as intrapulmonary metastasis or multiple primary lung carcinoma to define TNM classification and optimize therapeutic options. In the present study, we evaluated the respective and combined input of histological and molecular classification to propose a classification algorithm for multiple nodules., Methods: We studied consecutive patients undergoing an operation with curative intent for lung adenocarcinoma (N = 120) and harboring two tumors (N = 240). Histological diagnosis according to the WHO 2015 classification and molecular profiling using next-generation sequencing targeting 22 hotspot genes allowed classification of samples as multiple primary lung adenocarcinomas or as intrapulmonary metastasis., Results: Next-generation sequencing identified molecular mutations in 91% of tumor pairs (109 of 120). Genomic and histological classification showed a fair agreement when the κ test was used (κ = 0.43). Discordant cases (30 of 109 [27%]) were reclassified by using a combined histomolecular algorithm. EGFR mutations (p = 0.03) and node involvement (p = 0.03) were significantly associated with intrapulmonary metastasis, whereas KRAS mutations (p = 0.00005) were significantly associated with multiple primary lung adenocarcinomas. EGFR mutations (p = 0.02) and node involvement (p = 0.004) were the only independent prognostic factors., Conclusion: We showed that combined histomolecular algorithm represents a relevant tool to classify multifocal lung cancers, which could guide adjuvant treatment decisions. Survival analysis underlined the good prognosis of EGFR-mutated adenocarcinoma in patients with intrapulmonary metastasis., (Copyright © 2019 International Association for the Study of Lung Cancer. Published by Elsevier Inc. All rights reserved.)
- Published
- 2019
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