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Multiplex Immunofluorescence Combined with Spatial Image Analysis for the Clinical and Biological Assessment of the Tumor Microenvironment.
Huyghe, Nicolas; Benidovskaya, Elena; Beyaert, Simon; Daumerie, Aurélie; Maestre Osorio, Finoula; Aboubakar Nana, Frank; Bouzin, Caroline; Van den Eynde, Marc.
Afiliación
  • Huyghe N; Institut de Recherche Expérimentale et Clinique (IREC), Pôle MIRO, Université Catholique de Louvain (UCLouvain).
  • Benidovskaya E; Institut de Recherche Expérimentale et Clinique (IREC), Pôle MIRO, Université Catholique de Louvain (UCLouvain).
  • Beyaert S; Institut de Recherche Expérimentale et Clinique (IREC), Pôle MIRO, Université Catholique de Louvain (UCLouvain).
  • Daumerie A; IREC Imaging Platform, Université Catholique de Louvain (UCLouvain).
  • Maestre Osorio F; Institut de Recherche Expérimentale et Clinique (IREC), Pôle MIRO, Université Catholique de Louvain (UCLouvain).
  • Aboubakar Nana F; Institut de Recherche Expérimentale et Clinique (IREC), Pôle de Pneumologie, ORL et Dermatologie (PNEU), Université Catholique de Louvain (UCLouvain); Division of Pneumology, Cliniques Universitaires St-Luc, Université Catholique de Louvain (UCLouvain).
  • Bouzin C; IREC Imaging Platform, Université Catholique de Louvain (UCLouvain).
  • Van den Eynde M; Institut de Recherche Expérimentale et Clinique (IREC), Pôle MIRO, Université Catholique de Louvain (UCLouvain); Institut Roi Albert II, Department of Medical Oncology and Gastroenterology, Cliniques Universitaires St-Luc; marc.vandeneynde@uclouvain.be.
J Vis Exp ; (196)2023 06 02.
Article en En | MEDLINE | ID: mdl-37335095
The tumor microenvironment (TME) is composed of a plethora of different cell types, such as cytotoxic immune cells and immunomodulatory cells. Depending on its composition and the interactions between cancer cells and peri-tumoral cells, the TME may affect cancer progression. The characterization of tumors and their complex microenvironment could improve the understanding of cancer diseases and may help scientists and clinicians to discover new biomarkers. We recently developed several multiplex immunofluorescence (mIF) panels based on tyramide signal amplification (TSA) for the characterization of the TME in colorectal cancer, head and neck squamous cell carcinoma, melanoma, and lung cancer. Once the staining and scanning of the corresponding panels are completed, the samples are analyzed on an image analysis software. The spatial position and the staining of each cell are then exported from this quantification software into R. We developed R scripts that allow us not only to analyze the density of each cell type in several tumor compartments (e.g. the center of the tumor, the margin of the tumor, and the stroma) but also to perform distance-based analyses between different cell types. This particular workflow adds a spatial dimension to the classical density analysis already routinely performed for several markers. mIF analysis could allow scientists to have a better understanding of the complex interaction between cancer cells and the TME and to discover new predictive biomarkers of response to treatments, such as immune checkpoint inhibitors, and targeted therapies.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de Cabeza y Cuello / Neoplasias Pulmonares Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: J Vis Exp Año: 2023 Tipo del documento: Article Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de Cabeza y Cuello / Neoplasias Pulmonares Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: J Vis Exp Año: 2023 Tipo del documento: Article Pais de publicación: Estados Unidos