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全外显子组测序研究骨肉瘤的体细胞变异。

Experimental Study of Somatic Variants of Osteosarcoma by Whole-Exome Sequencing.

机构信息

Department of Bone and Soft Tissue Oncology, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, Henan, China (mainland).

School of Life Sciences, Zhengzhou University, Zhengzhou, Henan, China (mainland).

出版信息

Med Sci Monit. 2020 Mar 20;26:e920826. doi: 10.12659/MSM.920826.

Abstract

BACKGROUND This study aimed to investigate the role of gene mutation site distribution, biological function, pathway enrichment, and gene association analysis in the occurrence, development, and migration of osteosarcoma. MATERIAL AND METHODS Somatic mutation screening was performed using the whole-exome sequencing of osteosarcoma samples, and the distribution of mutations was demonstrated by Circos diagrams. Metascape was used to analyze the GO and KEGG signal pathway enrichment of the genes harboring protein coding alterations, and GeneMANIA was used to analyze the interaction of mutated genes. RESULTS The results showed that the protein coding alterations were found throughout the whole genome in 3 osteosarcoma samples. A large number of identical or related biological processes and pathways were found in osteosarcoma samples. The GeneMANIA analysis of the 10 mutations shared by 3 samples showed that the target gene minichromosome maintenance complex component 4 (MCM4) and 3 lateral genes were most functional, and were all related to DNA replication. The analysis of GO and KEGG signal pathway enrichment showed that the mutated genes were involved mainly in tumor-related metabolic pathways. Three mutated genes were involved in the cell process, and 2 mutated genes were involved in the metabolic process. Known driver gene mutations were also observed in the samples. CONCLUSIONS The gene analysis confirmed that patients with osteosarcoma had a wide range of common gene mutations related to each other, which are involved in tumor-related metabolic pathways. These findings provide a basis for further gene-targeted therapy and pathway research.

摘要

背景

本研究旨在探讨基因突变位点分布、生物学功能、通路富集以及基因关联分析在骨肉瘤发生、发展和转移中的作用。

材料和方法

采用全外显子组测序对骨肉瘤样本进行体细胞突变筛选,并通过 Circos 图展示突变的分布。使用 Metascape 分析携带蛋白编码改变的基因的 GO 和 KEGG 信号通路富集,使用 GeneMANIA 分析突变基因的相互作用。

结果

结果表明,在 3 例骨肉瘤样本中,蛋白质编码改变遍布整个基因组。在骨肉瘤样本中发现了大量相同或相关的生物过程和途径。对 3 个样本共有的 10 个突变的 GeneMANIA 分析表明,靶基因微小染色体维持复合物成分 4(MCM4)和 3 个侧基因的功能最相关,均与 DNA 复制有关。GO 和 KEGG 信号通路富集分析表明,突变基因主要参与肿瘤相关的代谢途径。三个突变基因参与细胞过程,两个突变基因参与代谢过程。在样本中还观察到已知的驱动基因突变。

结论

基因分析证实,骨肉瘤患者存在广泛的相互关联的常见基因突变,这些突变涉及肿瘤相关的代谢途径。这些发现为进一步的基因靶向治疗和通路研究提供了依据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5726/7106971/1f624a5a1515/medscimonit-26-e920826-g001.jpg

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