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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: May 12, 2025

Enrichment and Characterization of the Tumor Immune and Non-immune Microenvironments in Established Subcutaneous Murine Tumors

Enrichment and Characterization of the Tumor Immune and Non-immune Microenvironments in Established Subcutaneous Murine Tumors

Published on: June 7, 2018

TIMER3: an enhanced resource for tumor immune analysis.

Hao Cui¹, Guile Zhao¹, Yiwen Lu¹

¹State Key Laboratory of Oral Diseases, National Center for Stomatology, National Clinical Research Center for Oral Diseases, Research Unit of Oral Carcinogenesis and Management, Chinese Academy of Medical Sciences, West China Hospital of Stomatology, Sichuan University, Chengdu 610041, Sichuan, China.

Nucleic Acids Research

|May 8, 2025

Summary

TIMER3 enhances immune cell deconvolution for cancer research. This web server integrates multiple algorithms and datasets to analyze the tumor immune microenvironment (TIME) and immunotherapy response.

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Enrichment and Characterization of the Tumor Immune and Non-immune Microenvironments in Established Subcutaneous Murine Tumors

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Published on: June 7, 2018

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Area of Science:

Computational biology
Immunology
Bioinformatics

Background:

The tumor immune microenvironment (TIME) is crucial for cancer progression and immunotherapy response.
Estimating immune cell infiltration from bulk RNA-seq data using computational deconvolution is vital due to experimental limitations.
Large-scale analyses of TIME across diverse cancer types and treatments are currently limited.

Purpose of the Study:

To develop an upgraded web server, TIMER3, for comprehensive analysis of the tumor immune microenvironment.
To extend the functionality and scope of previous tools for immune cell deconvolution.
To facilitate large-scale, systematic analyses of immune cell infiltration in cancer.

Main Methods:

Integration of 15 state-of-the-art immune deconvolution algorithms (human and mouse-specific).
Incorporation of an expanded collection of public RNA-seq datasets from immunotherapy-related cohorts.
Development of new analytical modules for immunotherapy response, functional profiling, and visualization.

Main Results:

TIMER3 offers improved robustness and interpretability of immune cell estimation.
Enables large-scale analysis of immune dynamics across pre- and post-treatment conditions.
Provides modules for analyzing immunotherapy response, gene expression, and survival associations.

Conclusions:

TIMER3 is a comprehensive, user-friendly platform for dissecting the TIME.
Facilitates translational research and precision immuno-oncology by enabling robust immune cell analysis.
Supports diverse datasets and analytical needs for studying tumor-immune interactions.