Literature DB >> 27401919

Mutation Drivers of Immunological Responses to Cancer.

Eduard Porta-Pardo1, Adam Godzik2.   

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. ©2016 American Association for Cancer Research.

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Year:  2016        PMID: 27401919      PMCID: PMC5886853          DOI: 10.1158/2326-6066.CIR-15-0233

Source DB:  PubMed          Journal:  Cancer Immunol Res        ISSN: 2326-6066            Impact factor:   11.151


  47 in total

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6.  Comprehensive assessment of cancer missense mutation clustering in protein structures.

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  13 in total

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3.  The Immune Landscape of Cancer.

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4.  Genome-wide association analysis identifies genetic correlates of immune infiltrates in solid tumors.

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Review 6.  Immuno-Oncology: Emerging Targets and Combination Therapies.

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7.  Comprehensive genomic and immunological characterization of Chinese non-small cell lung cancer patients.

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Journal:  Nat Commun       Date:  2019-04-16       Impact factor: 14.919

8.  Modeling breast cancer progression to bone: how driver mutation order and metabolism matter.

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