Optimized multiplex immunofluorescence for the characterization of tumor immune microenvironment in neoplastic paraffin-preserved tissues.
J Cell Commun Signal
; 17(3): 1055-1065, 2023 Sep.
Article
em En
| MEDLINE
| ID: mdl-37191838
ABSTRACT
The study of neoplastic cells enabled the discovery of important tumor-related biomarkers which resulted in new forms of early diagnosis, therapeutic options, and prognostic markers. Thus, immunofluorescence (IF), a high throughput imaging technology, represents a valuable method that enables the virtual characterization and localization of diverse cell types and targets, preserving tissue architecture and spatial surroundings. IF staining and analysis of formalin-fixed paraffin-embedded (FFPE) tissues are considered a challenge due to several difficulties, such as tissue autofluorescence, non-specific antibody binding, and image acquisition and quality. This study aimed to develop a multiplex-fluorescence staining technique with high-contrast and high-quality multiple-color images to enrich the investigation of important biomarkers. We present a robust optimized multiple-immunofluorescence procedure that reduced sample autofluorescence, enabled the use of simultaneous antibodies on the same sample, and showed super-resolution imaging through precise antigen localization. We illustrated the utility of this powerful method in FFPE neoplastic appendix, lymph node and bone marrow biopsies, and a 3D-coculture system, in which cells are enabled to grow and interact with their surroundings in all 3D dimensions. Our optimized multiple-immunofluorescence method represents a powerful tool for better understanding the complexity of tumor cells, characterizing cell populations and spatial localization, revealing predictive and prognostic biomarkers, and identifying immunologic phenotypes in a single and limited sample. This valuable IF protocol successfully enables tumor microenvironment profiling that could contribute to the study of cellular crosstalk and the niche, and to the identification of predictive biomarkers for neoplasms.
Texto completo:
1
Base de dados:
MEDLINE
Tipo de estudo:
Guideline
/
Screening_studies
Idioma:
En
Revista:
J Cell Commun Signal
Ano de publicação:
2023
Tipo de documento:
Article
País de afiliação:
Brasil