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Single-cell high-dimensional imaging mass cytometry: one step beyond in oncology.
Glasson, Yaël; Chépeaux, Laure-Agnès; Dumé, Anne-Sophie; Lafont, Virginie; Faget, Julien; Bonnefoy, Nathalie; Michaud, Henri-Alexandre.
Afiliação
  • Glasson Y; IRCM, Univ Montpellier, ICM, Plateforme de Cytométrie Et d'Imagerie de Masse, Inserm Montpellier, France.
  • Chépeaux LA; IRCM, Univ Montpellier, ICM, Plateforme de Cytométrie Et d'Imagerie de Masse, Inserm Montpellier, France.
  • Dumé AS; IRCM, Univ Montpellier, ICM, Plateforme de Cytométrie Et d'Imagerie de Masse, Inserm Montpellier, France.
  • Lafont V; IRCM, Univ Montpellier, ICM, Inserm Montpellier, France.
  • Faget J; IRCM, Univ Montpellier, ICM, Inserm Montpellier, France.
  • Bonnefoy N; IRCM, Univ Montpellier, ICM, Plateforme de Cytométrie Et d'Imagerie de Masse, Inserm Montpellier, France.
  • Michaud HA; IRCM, Univ Montpellier, ICM, Plateforme de Cytométrie Et d'Imagerie de Masse, Inserm Montpellier, France. henri-alexandre.michaud@inserm.fr.
Semin Immunopathol ; 45(1): 17-28, 2023 01.
Article em En | MEDLINE | ID: mdl-36598557
Solid tumors have a dynamic ecosystem in which malignant and non-malignant (endothelial, stromal, and immune) cell types constantly interact. Importantly, the abundance, localization, and functional orientation of each cell component within the tumor microenvironment vary significantly over time and in response to treatment. Such intratumoral heterogeneity influences the tumor course and its sensitivity to treatments. Recently, high-dimensional imaging mass cytometry (IMC) has been developed to explore the tumor ecosystem at the single-cell level. In the last years, several studies demonstrated that IMC is a powerful tool to decipher the tumor complexity. In this review, we summarize the potential of this technology and how it may be useful for cancer research (from preclinical to clinical studies).
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Ecossistema / Neoplasias Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Ecossistema / Neoplasias Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article