Zhang Liwen, Lv Bin, Shi Xinya, Gao Guangyu
Department of Oncology, The Third Affiliated Hospital of Suzhou University, Changzhou, Jiangsu, China (mainland).
Jiangxi Key Laboratory of Cancer Metastasis and Precision Treatment, The Third Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China (mainland).
Med Sci Monit. 2020 Dec 7;26:e927837. doi: 10.12659/MSM.927837.
BACKGROUND Osteosarcoma (OS) is very common worldwide, and the mechanisms underlying its development remain unclear. This study aims to identify key genes promoting the reproduction, invasion, and transfer of osteosarcoma cells. MATERIAL AND METHODS Gene expression profile data (GSE42352 and GSE42572) were downloaded from the Gene Expression Omnibus database. Differentially expressed genes were calculated using R software. Gene ontology and enriched pathway analysis of mRNAs were analyzed by using FunRich. Verification of the genes was conducted by using quantitative real-time polymerase chain reaction and western blot analyses to measure gene expression. Transwell and wound-healing assays were performed on osteosarcoma cells after knockdown to detect whether the genes enhanced the aggressiveness of osteosarcoma. RESULTS In total, 34 genes were selected after filtering. Kyoto Encyclopedia of Genes and Genomes enrichment analysis demonstrated that the genes were enriched in multiple tumor pathways. N-acetylgalactosaminyltransferase 1 (GALNT1) was identified for further study, and its expression was higher in osteosarcoma cells than in human osteoblasts. The invasion ability of cells was significantly decreased after gene knockdown. CONCLUSIONS Through the use of microarray and bioinformatics analysis, differentially expressed genes were selected and a complete gene network was constructed. Our findings provide new biomarkers for the treatment and prognosis of osteosarcoma. These biomarkers may contribute to the discovery of new therapeutic targets for clinical application.
骨肉瘤(OS)在全球范围内非常常见,其发生发展的机制仍不清楚。本研究旨在鉴定促进骨肉瘤细胞增殖、侵袭和转移的关键基因。
从基因表达综合数据库下载基因表达谱数据(GSE42352和GSE42572)。使用R软件计算差异表达基因。利用FunRich对mRNA进行基因本体论和富集通路分析。通过定量实时聚合酶链反应和蛋白质印迹分析对基因进行验证,以检测基因表达。在基因敲低后的骨肉瘤细胞上进行Transwell和伤口愈合试验,以检测这些基因是否增强了骨肉瘤的侵袭性。
经过筛选,共选择了34个基因。京都基因与基因组百科全书富集分析表明,这些基因富集于多个肿瘤通路。鉴定出N-乙酰半乳糖胺基转移酶1(GALNT1)进行进一步研究,其在骨肉瘤细胞中的表达高于人成骨细胞。基因敲低后细胞的侵袭能力显著降低。
通过使用微阵列和生物信息学分析,筛选出差异表达基因并构建了完整的基因网络。我们的研究结果为骨肉瘤的治疗和预后提供了新的生物标志物。这些生物标志物可能有助于发现新的临床应用治疗靶点。