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Mutation Drivers of Immunological Responses to Cancer

机译:癌症免疫反应的突变驱动因素

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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 FCgR2A. 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. (C) 2016 AACR.
机译:在癌症免疫学中,大部分关于体细胞错义突变的研究都涉及它们在新抗原产生中的作用。但是,越来越多的证据表明,某些基因(例如CASP8或TP53)的突变会通过其他机制影响针对肿瘤的免疫反应。鉴定这些基因和机制很重要,因为正如鉴定癌症驱动基因导致个性化癌症治疗方法的发展一样,此类癌症免疫驱动剂的全面目录将有助于旨在恢复抗肿瘤免疫力的治疗方法的开发。在这里,我们提出一种算法domainXplorer,该算法可用于识别潜在的癌症免疫驱动力。为了证明其潜力,我们使用它来分析来自癌症基因组图谱(TCGA)的5164个肿瘤样品的数据集,并确定其中突变状态与癌症组织中免疫细胞的存在相关的蛋白质域(免疫浸润)。我们确定了122个这样的蛋白质区域,包括几个属于在免疫反应中具有已知作用的蛋白质,例如C2,CD163L1或FCgR2A。在某些情况下,我们显示相同蛋白质内的突变可与或多或少的免疫细胞浸润相关,具体取决于突变的特定域。这些结果扩展了潜在的癌症免疫驱动力的目录,并强调了在分析体细胞突变与免疫表型的潜在关联时考虑体细胞突变的结构背景的重要性。 (C)2016 AACR。

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