📇 Rhumatologue · PUTEAUX · (92) · Salarié
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1 raison identifiée
Délais de RDV courts dans la région
136 rhumatos / 100 000 hab. — département bien doté
✨ Génération du profil synthétique IA en cours…
Indicateurs publics agrégés sur 250 M+ d'œuvres scientifiques (OpenAlex, PubMed). Traduits ici en langage patient.
Influence scientifique
14
14 articles ont été cités au moins 14fois par d'autres chercheurs — preuve que ses travaux sont repris par la communauté médicale.
h-index
Données ANS publiques (Licence Ouverte 2.0) · Enrichissements MonRhumato 100 % opt-in · Toute personne référencée peut demander la suppression ou la rectification.
Total citations reçues
967
Nombre de fois où d'autres équipes ont mentionné ses publications dans leurs propres travaux.
Publications totales
48
Articles, revues et chapitres référencés dans les bases académiques internationales.
Articles influents
17
Publications ayant marqué leur domaine — chacune citée au moins 10 fois par d'autres chercheurs.
i10-index
Thématiques principales
Affiliations FR : Centre Hospitalier Universitaire de Toulouse · Institut universitaire du cancer de Toulouse Oncopole
Source : OpenAlex (CC0, OurResearch). Indicateurs académiques agrégés sur 250 M+ d'œuvres.
ENEDIS
ENEDIS 4 PLACE DE LA PYRAMIDE, 92800 PUTEAUX
Secteur de conventionnement non disponible (médecin hospitalier ou non présent dans l'Annuaire santé CNAM des libéraux conventionnés).
Lien Doctolib = recherche Google site:doctolib.fr (le 1er résultat est presque toujours le profil correct s'il existe).
Cancers · 2021
Biological and histopathological techniques identified osteoclasts and macrophages as targets of zoledronic acid (ZA), a therapeutic agent that was detrimental for patients in the French OS2006 trial. Conventional and multiplex immunohistochemistry of microenvironmental and OS cells were performed on biopsies of 124 OS2006 patients and 17 surgical (“OSNew”) biopsies respectively. CSF-1R (common osteoclast/macrophage progenitor) and TRAP (osteoclast activity) levels in serum of 108 patients were correlated to response to chemotherapy and to prognosis. TRAP levels at surgery and at the end of the protocol were significantly lower in ZA+ than ZA− patients (padj = 0.0011; 0.0132). For ZA+-patients, an increase in the CSF-1R level between diagnosis and surgery and a high TRAP level in the serum at biopsy were associated with a better response to chemotherapy (p = 0.0091; p = 0.0251). At diagnosis, high CD163+ was associated with good prognosis, while low TRAP activity was associated with better overall survival in ZA− patients only. Multiplex immunohistochemistry demonstrated remarkable bipotent CD68+/CD163+ macrophages, homogeneously distributed throughout OS regions, aside osteoclasts (CD68+/CD163−) mostly residing in osteolytic territories and osteoid-matrix-associated CD68−/CD163+ macrophages. We demonstrate that ZA not only acts on harmful osteoclasts but also on protective macrophages, and hypothesize that the bipotent CD68+/CD163+ macrophages might present novel therapeutic targets.
Journal for immunotherapy of cancer · 2023
Background Follicular lymphoma (FL), the most common indolent non-Hodgkin’s Lymphoma, is a heterogeneous disease and a paradigm of the contribution of immune tumor microenvironment to disease onset, progression, and therapy resistance. Patient-derived models are scarce and fail to reproduce immune phenotypes and therapeutic responses. Methods To capture disease heterogeneity and microenvironment cues, we developed a patient-derived lymphoma spheroid (FL-PDLS) model culturing FL cells from lymph nodes (LN) with an optimized cytokine cocktail that mimics LN stimuli and maintains tumor cell viability. Results FL-PDLS, mainly composed of tumor B cells (60% on average) and autologous T cells (13% CD4 and 3% CD8 on average, respectively), rapidly organizes into patient-specific three-dimensional (3D) structures of three different morphotypes according to 3D imaging analysis. RNAseq analysis indicates that FL-PDLS reproduces FL hallmarks with the overexpression of cell cycle, BCR, or mTOR signaling related gene sets. FL-PDLS also recapitulates the exhausted immune phenotype typical of FL-LN, including expression of BTLA, TIGIT, PD-1, TIM-3, CD39 and CD73 on CD3+ T cells. These features render FL-PDLS an amenable system for immunotherapy testing. With this aim, we demonstrate that the combination of obinutuzumab (anti-CD20) and nivolumab (anti-PD1) reduces tumor load in a significant proportion of FL-PDLS. Interestingly, B cell depletion inversely correlates with the percentage of CD8+ cells positive for PD-1 and TIM-3. Conclusions In summary, FL-PDLS is a robust patient-derived 3D system that can be used as a tool to mimic FL pathology and to test novel immunotherapeutic approaches in a context of personalized medicine.
Laboratory investigation; a journal of technical methods and pathology · 2024
Source PubMed · Recherche par auteur (homonymes possibles, vérifier l'affiliation).
Laboratory investigation; a journal of technical methods and pathology · 2024 · Journal Article
Gomez-Mascard A, Van Acker N, Cases G, Mancini A, et al.
Journal for immunotherapy of cancer · 2023 · Journal Article
Faria C, Gava F, Gravelle P, Valero JG, et al.
Annales de pathologie · 2022 · Journal Article
Krantschenko E, Khayat P, Siegfried A, Van Acker N, et al.
Cancers · 2021 · Journal Article
Gomez-Brouchet A, Gilhodes J, Acker NV, Brion R, et al.
Kartezio: A Darwinian Designer of Explainable Algorithms for Biomedical Image Segmentation
Kartezio is a robust and flexible AI-based computational tool that facilitates biomedical image analysis. It generates fully transparent, easily interpretable image processing pipelines using small datasets of training i
Kartezio: A Darwinian Designer of Explainable Algorithms for Biomedical Image Segmentation
Kartezio is a robust and flexible AI-based computational tool that facilitates biomedical image analysis. It generates fully transparent, easily interpretable image processing pipelines using small datasets of training i
Source : DataCite — DOIs pour datasets, logiciels, protocoles, registres patient. Hors articles (déjà couverts).