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Cancer+Immunol+Res
2016 ; 4
(9
): 789-98
Nephropedia Template TP gab.com Text Twit Text FOAVip Twit Text # English Wikipedia
Mutation Drivers of Immunological Responses to Cancer
#MMPMID27401919
Porta-Pardo E
; Godzik A
Cancer Immunol Res
2016[Sep]; 4
(9
): 789-98
PMID27401919
show ga
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 FC?R2A. 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.
Please enable JavaScript to view the comments powered by Disqus. |*Mutation
[MESH] |Antigens, Neoplasm/immunology
[MESH] |Biomarkers
[MESH] |Cadherins/chemistry/metabolism
[MESH] |Complement System Proteins/chemistry/genetics/immunology
[MESH] |Computational Biology/methods
[MESH] |Gene Expression Profiling
[MESH] |Humans
[MESH] |Immunomodulation/*genetics
[MESH] |Models, Molecular
[MESH] |Neoplasms/*genetics/*immunology/metabolism
[MESH] |Phenotype
[MESH] |Protein Binding
[MESH] |Proteomics
[MESH] |Structure-Activity Relationship
[MESH] DeepDyve Pubget Overpricing