P126

Q3 Medicine
A. Makashov , A. Kozlov
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引用次数: 2

Abstract

Background

Earlier we showed that at least some of nucleotide sequences with tumor-specific expression are evolutionary novel (reviewed in [A.P. Kozlov, 2014]). In this paper we performed the study of the relative evolutionary novelty of human oncogenes, all protein-coding genes, genes encoding tumor antigens, tumor suppressors and tumor-associated genes using homology searches in genomes of different taxa in human lineage.

Materials and methods

The following databases were used as a source of human genes: oncogenes – COSMIC (574 genes), tumor suppressors – TSGene (636 genes), all tumor-associated genes – allOnco (2116 genes) and NCG (2001 genes), cancer-testis (CT) antigen genes – CTDatabase (276 genes) and all annotated human protein coding genes – Genome assembly GRCh38 (21694 genes). The list of cancer vaccine antigen genes was retrieved from paper of Cheever et al., 2007, where 75 cancer antigens were ranked according to their potential suitability for anticancer vaccines. Some of cancer antigens are non-protein molecules, mutant or fusion-proteins. Thus, we examined the evolutionary novelty of only 58 protein-coding cancer vaccine antigen genes. To analyze the evolutionary novelty of the explored genes the HomoloGene release 68 tool and ProteinHistorian tool were used. The HomoloGene tool searches the orthologs in 11 taxa of the human lineage (Eukaryota, Opisthokonta, Bilateria, Euteleostomi, Tetrapoda, Amniota, Boreoeutheria, Euarchontoglires Catarrhini, Homininae, H.sapiens) and the ProteinHistorian tool searches the orthologs in 16 taxa of the human ligeage (Cellular Organisms, Eukaryota, Opisthokonta, Bilateria, Deuterostomia, Chordata, Euteleostomi, Tetrapoda, Amniota, Mammalia, Theria, Eutheria, Euarchontoglires, Catarrhini, Homininae, H.sapiens). To analyze the statistical significance of data Fisher’s exact test was used.

Results

Several curves of taxonomic distribution of orthologs of different classes of human genes have been generated. A set of curves forms a peculiar picture where different curves are organized in a definite order. The curves never intersect after Bilateria. The uppermost position occupies the curve which describes the oncogene orthologs distribution. Right below the oncogene curve, the distribution curve of tumor suppressor genes orthologs taxonomic is located, and the difference between these curves is significant. The distribution curves of other tumor-associated genes orthologs overlap with tumor suppressor curve. The medium position in the whole picture is occupied by the distribution curve of orthologs of all human protein-coding genes. Below this curve the distribution curves of orthologs of different tumor antigens are located. The first below the medium curve is tumor vaccine antigen curve, then CT and CT-X antigen genes orthologs distribution curves are located. Thus at any given timepoint the relative proportion of oncogene orthologs described by distribution curve is higher than of any other studied class of human genes.

Conclusion

1. The evolution of human oncogenome advances ahead of all other human gene classes. 2. On the other hand, the evolution of tumor antigen gene classes goes behind the rest of human gene classes, i.e. tumor antigens genome is more evolutionary novel.

P126
之前我们发现至少一些具有肿瘤特异性表达的核苷酸序列在进化上是新颖的(参见[A.P.])科兹洛夫,2014])。在本文中,我们利用同源性搜索在人类谱系中不同分类群的基因组中研究了人类癌基因、所有蛋白质编码基因、编码肿瘤抗原的基因、肿瘤抑制基因和肿瘤相关基因的相对进化新颖性。材料与方法使用以下数据库作为人类基因的来源:癌基因- COSMIC(574个基因),肿瘤抑制基因- TSGene(636个基因),所有肿瘤相关基因- allOnco(2116个基因)和NCG(2001个基因),癌睾丸(CT)抗原基因- CTDatabase(276个基因)和所有注释的人类蛋白质编码基因-基因组组装GRCh38(21694个基因)。癌症疫苗抗原基因列表检索自Cheever et al., 2007的论文,根据抗癌疫苗的潜在适用性对75种癌症抗原进行了排序。一些癌症抗原是非蛋白质分子、突变蛋白或融合蛋白。因此,我们只研究了58个编码蛋白质的癌症疫苗抗原基因的进化新颖性。利用HomoloGene release 68工具和proteinhistory工具分析所探索基因的进化新颖性。HomoloGene工具搜索了人类谱系的11个分类群(真核目、Opisthokonta、双足目、真端口目、四足目、羊水目、Boreoeutheria、原端口目、catarrhinia、双足目、后端口目、脊索目、真端口目、四足目、羊水目、哺乳目、Theria、真端口目、真端口目、真端口目、原端口目、catarnita、人科、智人)的直系同源。采用Fisher精确检验分析数据的统计学意义。结果绘制了人类不同类别基因直系同源物的分类分布曲线。一组曲线构成了一幅奇特的图画,其中不同的曲线按一定的顺序组织起来。这两条曲线在两侧后永不相交。最上面的位置占据了描述致癌基因同源物分布的曲线。在癌基因曲线的正下方,是抑癌基因同源分类的分布曲线,这些曲线之间的差异是显著的。其他肿瘤相关基因同源物的分布曲线与抑癌基因曲线重叠。整个图片的中间位置被所有人类蛋白质编码基因的同源物分布曲线所占据。在这条曲线下面是不同肿瘤抗原的同源物的分布曲线。培养基曲线下方首先是肿瘤疫苗抗原曲线,然后是CT和CT- x抗原基因同源物分布曲线。因此,在任何给定的时间点上,由分布曲线描述的癌基因同源物的相对比例都高于任何其他已研究的人类基因类别。人类肿瘤基因组的进化领先于所有其他人类基因类别。2. 另一方面,肿瘤抗原基因类别的进化落后于其他人类基因类别,即肿瘤抗原基因组更具进化新颖性。
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来源期刊
Ejc Supplements
Ejc Supplements 医学-肿瘤学
自引率
0.00%
发文量
0
审稿时长
3.7 months
期刊介绍: EJC Supplements is an open access companion journal to the European Journal of Cancer. As an open access journal, all published articles are subject to an Article Publication Fee. Immediately upon publication, all articles in EJC Supplements are made openly available through the journal''s websites. EJC Supplements will consider for publication the proceedings of scientific symposia, commissioned thematic issues, and collections of invited articles on preclinical and basic cancer research, translational oncology, clinical oncology and cancer epidemiology and prevention. Authors considering the publication of a supplement in EJC Supplements are requested to contact the Editorial Office of the EJC to discuss their proposal with the Editor-in-Chief. EJC Supplements is an official journal of the European Organisation for Research and Treatment of Cancer (EORTC), the European CanCer Organisation (ECCO) and the European Society of Mastology (EUSOMA).
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