Department of Oncology, Jinan Central Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
Department of Cardiology, Jinan Central Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
J Cancer Res Ther. 2020;16(7):1596-1602. doi: 10.4103/jcrt.JCRT_729_20.
It is not yet verified whether incomplete radiofrequency ablation (iRFA) induces tumor progression and hypoxia related to tumor dormancy. This study showed the relationship between iRFA and tumor dormancy.
To identify the candidate genes in the control and iRFA-treated colon cancer cells, microarray datasets GSE138224 were downloaded from Gene Expression Omnibus database. Using NetworkAnalyst, the differentially expressed genes (DEGs) were identified, function enrichment analyses were performed, and the protein-protein interaction (PPI) network and key PPI network were constructed.
A total of 656 DEGs were identified, comprising 637 downregulated and 19 upregulated genes. The enriched functions and pathways of the upregulated DEGs include an immune effector process, regulation of tyrosine phosphorylation of signal transducer and activator of transcription (STAT) protein, tyrosine phosphorylation of STAT protein, JAK-STAT cascade, and regulating JAK-STAT cascade, and CCL5 gene participated in regulating the JAK-STAT signaling pathway. The downregulated DEGs were mainly enriched in extracellular matrix-receptor interaction, PI3K-Akt signaling, Wnt signaling, transforming growth factor-beta signaling, and mitogen-activated protein kinase signaling pathways. There are three key PPI networks of DEGs (degree ≥10 and hub genes >3). The dormancy-related genes Bmp4 and Ccl5 were regarded as hub genes in the PPI network with Bmp4 as a downregulated gene and CCL5 as an upregulated gene.
The identified DEGs and function enrichment analyses in this study aid the understanding of molecular mechanisms underlying the relationship between iRFA and tumor dormancy.
尚未验证不完全射频消融(iRFA)是否会引发与肿瘤休眠相关的肿瘤进展和缺氧。本研究显示了 iRFA 与肿瘤休眠之间的关系。
为了鉴定对照和 iRFA 处理的结肠癌细胞中的候选基因,从基因表达综合数据库(GEO)下载了微阵列数据集 GSE138224。使用 NetworkAnalyst 鉴定差异表达基因(DEGs),进行功能富集分析,并构建蛋白质-蛋白质相互作用(PPI)网络和关键 PPI 网络。
共鉴定出 656 个 DEGs,包括 637 个下调基因和 19 个上调基因。上调 DEGs 的富集功能和途径包括免疫效应子过程、信号转导和转录激活剂(STAT)蛋白酪氨酸磷酸化的调节、STAT 蛋白的酪氨酸磷酸化、JAK-STAT 级联反应和调节 JAK-STAT 级联反应,以及 CCL5 基因参与调节 JAK-STAT 信号通路。下调的 DEGs 主要富集在细胞外基质-受体相互作用、PI3K-Akt 信号、Wnt 信号、转化生长因子-β信号和丝裂原激活蛋白激酶信号通路中。有三个关键的 DEG PPI 网络(度≥10,枢纽基因>3)。休眠相关基因 Bmp4 和 Ccl5 被认为是 PPI 网络中的枢纽基因,其中 Bmp4 是下调基因,CCL5 是上调基因。
本研究中鉴定的 DEGs 和功能富集分析有助于理解 iRFA 与肿瘤休眠之间关系的分子机制。