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Tumor Immunotherapy

Tumor Immunotherapy

Immunotherapy is a treatment that boosts or manipulates the immune system to fight diseases, including cancer. For instance, by stimulating an immune response through vaccinations against viruses that cause cancers, like hepatitis B virus and human papillomavirus, these diseases can be prevented. Nonetheless, some cancer cells can avoid the immune system due to their rapid mutation and division. The immune response to many cancers involves three phases: elimination, equilibrium, and escape.

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Related Experiment Video

Updated: Jun 27, 2025

Visualization, Quantification, and Mapping of Immune Cell Populations in the Tumor Microenvironment

Visualization, Quantification, and Mapping of Immune Cell Populations in the Tumor Microenvironment

Published on: March 25, 2020

Single-Cell Informatics for Tumor Microenvironment and Immunotherapy.

Jiabao Tian¹, Xinyu Bai¹, Camelia Quek¹

¹Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2006, Australia.

International Journal of Molecular Sciences

|April 27, 2024

Summary

This review explores the tumor microenvironment (TME) and its immune cells, detailing how they communicate with cancer. It highlights how understanding these interactions aids immunotherapy development and clinical decision-making.

Keywords:

bioinformatics cancer cancer environment immunotherapy treatment response tumor immune communication

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Last Updated: Jun 27, 2025

Visualization, Quantification, and Mapping of Immune Cell Populations in the Tumor Microenvironment

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Published on: March 25, 2020

Author Spotlight: Unlocking Insights into the Immune Cell Landscape of Tumors

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Published on: August 18, 2023

Author Spotlight: Multiplex Immunofluorescence Combined with Spatial Image Analysis for the Clinical and Biological Assessment of the Tumor Microenvironment

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Published on: June 2, 2023

Area of Science:

Oncology
Immunology
Bioinformatics

Background:

Cancer involves malignant cells within a complex tumor microenvironment (TME).
Immune cells within the TME significantly influence cancer development and progression.
Tumor-immune cell communication occurs via ligand-receptor interactions and signaling molecules.

Purpose of the Study:

To unravel the intricate networks between cancer and immunity within the TME.
To explore computational tools for analyzing tumor-immune communications.
To discuss applications in diagnosis, treatment decisions, and future research directions.

Main Methods:

Review of current scientific literature on tumor microenvironment and cancer immunology.
Discussion of single-cell technologies for TME characterization.
Exploration of bioinformatics tools for high-dimensional single-cell data analysis.

Main Results:

Single-cell technologies provide unprecedented TME dissection.
Bioinformatics tools enhance the analysis of complex tumor-immune interactions.
Understanding these interactions is crucial for effective immunotherapy.

Conclusions:

The TME's immune composition critically impacts cancer progression and immunotherapy response.
Computational analysis of tumor-immune communication offers insights for clinical applications.
Further research is needed to overcome current challenges and improve future strategies.