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Mass Cytometry Analysis of Systemic and Local Immune Responses in Hepatocellular Carcinoma
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Single-cell high-dimensional imaging mass cytometry: one step beyond in oncology
Yaël Glasson1, Laure-Agnès Chépeaux1, Anne-Sophie Dumé1
1IRCM, Univ Montpellier, ICM, Plateforme de Cytométrie Et d'Imagerie de Masse, Inserm Montpellier, France.
Seminars in Immunopathology
|January 4, 2023
Summary
High-dimensional imaging mass cytometry (IMC) reveals the complex tumor microenvironment. This technology aids in understanding cancer ecosystems and treatment responses in research settings.
Area of Science:
- Oncology
- Immunology
- Biotechnology
Background:
- Solid tumors feature a dynamic ecosystem with interactions between malignant and non-malignant cells.
- Tumor microenvironment composition (abundance, localization, functional orientation) varies over time and with treatment.
- Intratumoral heterogeneity impacts tumor progression and therapeutic sensitivity.
Purpose of the Study:
- To review the potential of high-dimensional imaging mass cytometry (IMC) in cancer research.
- To highlight IMC's utility in exploring the tumor ecosystem at a single-cell level.
- To discuss IMC applications from preclinical to clinical cancer studies.
Main Methods:
- Review of recent studies utilizing high-dimensional imaging mass cytometry (IMC).
- Analysis of IMC's capability to decipher single-cell interactions within the tumor microenvironment.
- Synthesis of findings on IMC's role in understanding tumor complexity.
Main Results:
- IMC is a powerful technology for detailed analysis of the tumor ecosystem.
- IMC enables exploration of cellular interactions and heterogeneity within solid tumors.
- Studies demonstrate IMC's effectiveness in deciphering tumor complexity.
Conclusions:
- High-dimensional imaging mass cytometry (IMC) offers significant potential for advancing cancer research.
- IMC facilitates a deeper understanding of the tumor microenvironment and its influence on treatment outcomes.
- The technology is valuable across preclinical and clinical cancer studies for dissecting tumor ecosystems.
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