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Computational Quantification Of Cancer Immunoediting.

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Computational Quantification Of Cancer Immunoediting.

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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

Computational Quantification of Cancer Immunoediting.

Kun Liu¹, Shengyuan He¹, Shangqin Sun¹

¹College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.

Cancer Immunology Research

|August 4, 2023

View abstract on PubMed

Summary

This summary is machine-generated.

Computational methods are crucial for understanding cancer immunoediting, a process where the immune system shapes tumors. This review details these methods to advance cancer immunotherapy strategies.

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Predictive Immune Modeling of Solid Tumors

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Published on: February 25, 2020

Area of Science:

Immunology
Computational Biology
Oncology

Background:

Cancer immunotherapy has transformed treatment by highlighting the role of tumor-immune interactions.
Cancer immunoediting describes how the immune system both eliminates and shapes tumors, influencing treatment outcomes.
Quantifying cancer immunoediting is essential for a deeper understanding of tumor evolution and immune system dynamics.

Conclusions:

Improved computational methods for quantifying cancer immunoediting are vital for advancing cancer research.
Further development in this area will elucidate the role of immunity in tumorigenesis.
This work provides a foundation for designing novel, personalized cancer immunotherapy strategies.