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Visualization, Quantification, and Mapping of Immune Cell Populations in the Tumor Microenvironment
Published on: March 25, 2020
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DIY: Visualizing the immune landscape of tumors using transcriptome and methylome data
Steven F Gameiro1, Farhad Ghasemi2, John W Barrett2
1Department of Microbiology and Immunology, The University of Western Ontario, London, ON, Canada.
Methods in Enzymology
|March 18, 2020
Summary
Researchers analyzed immune cell infiltration and activation in human solid tumors using The Cancer Genome Atlas (TCGA) data. This comparative analysis of tumor-infiltrating leukocytes (TILs) helps predict patient response to cancer therapies.
Area of Science:
- Immunology
- Oncology
- Bioinformatics
Background:
- The immune system plays a crucial role in fighting malignancies.
- Immune checkpoint inhibitors have shown success in cancer treatment, highlighting the tumor immune microenvironment's importance.
- Understanding tumor-infiltrating leukocytes (TILs) is key for predicting treatment outcomes.
Purpose of the Study:
- To outline a method for comparative analysis of immune cell infiltration and activation in human solid tumors.
- To utilize publicly available data from The Cancer Genome Atlas (TCGA) for this analysis.
Main Methods:
- Basic comparative analysis of immune cell infiltration.
- Assessment of immune cell activation status.
- Utilizing The Cancer Genome Atlas (TCGA) database for human solid tumor data.
Main Results:
- The study provides a framework for analyzing immune cell profiles in tumors.
- Freely available TCGA data can be used for detailed immunological profiling.
- This analysis can reveal patterns of immune cell infiltration and activation.
Conclusions:
- Detailed immunological profiling of tumors is feasible using TCGA data.
- Understanding TILs can predict patient response to cancer therapies and survival.
- This approach offers a foundation for personalized cancer treatment strategies.
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