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Published on: May 6, 2019
Mutation Drivers of Immunological Responses to Cancer
Eduard Porta-Pardo1, Adam Godzik2
1Program on Bioinformatics and Systems Biology, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, California.
Abstract:
In cancer immunology, somatic missense mutations have been mostly studied with regard to their role in the generation of neoantigens. However, growing evidence suggests that mutations in certain genes, such as CASP8 or TP53, influence the immune response against a tumor by other mechanisms. Identifying these genes and mechanisms is important because, just as the identification of cancer driver genes led to the development of personalized cancer therapies, a comprehensive catalog of such cancer immunity drivers will aid in the development of therapies aimed at restoring antitumor immunity. Here, we present an algorithm, domainXplorer, that can be used to identify potential cancer immunity drivers. To demonstrate its potential, we used it to analyze a dataset of 5,164 tumor samples from The Cancer Genome Atlas (TCGA) and to identify protein domains in which mutation status correlates with the presence of immune cells in cancer tissue (immune infiltrate). We identified 122 such protein regions, including several that belong to proteins with known roles in immune response, such as C2, CD163L1, or FCγR2A. In several cases, we show that mutations within the same protein can be associated with more or less immune cell infiltration, depending on the specific domain mutated. These results expand the catalog of potential cancer immunity drivers and highlight the importance of taking into account the structural context of somatic mutations when analyzing their potential association with immune phenotypes. Cancer Immunol Res; 4(9); 789-98. ©2016 AACR.
Insights
This study introduces domainXplorer, an algorithm to find cancer genes influencing tumor immunity beyond neoantigens. It identified 122 protein regions where mutations correlate with immune cell presence, aiding new cancer immunity therapies.
Area of Science:
- Oncology
- Immunology
- Genomics
Background:
- Somatic mutations in cancer are primarily studied for neoantigen generation.
- Emerging evidence indicates mutations in genes like CASP8 and TP53 impact tumor immunity through other mechanisms.
- Identifying these "cancer immunity drivers" is crucial for developing novel immunotherapies.
Purpose of the Study:
- To present domainXplorer, a novel algorithm for identifying potential cancer immunity drivers.
- To analyze The Cancer Genome Atlas (TCGA) dataset to find protein domains associated with immune cell infiltration.
- To expand the understanding of how somatic mutations influence antitumor immunity.
Main Methods:
- Developed and applied the domainXplorer algorithm.
- Analyzed somatic mutation data from 5,164 tumor samples in TCGA.
- Correlated protein domain mutation status with immune cell infiltration levels in tumor tissues.
Main Results:
- Identified 122 protein regions (domains) where mutations correlate with immune infiltrate.
- Found associations for known immune response proteins like C2, CD163L1, and FCγR2A.
- Demonstrated that mutations in different domains of the same protein can have opposing effects on immune infiltration.
Conclusions:
- The domainXplorer algorithm effectively identifies potential cancer immunity drivers.
- Somatic mutations' impact on immune phenotypes is domain-specific, emphasizing structural context.
- These findings contribute to a catalog of cancer immunity drivers, guiding future therapeutic strategies.
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