Li Danfeng, Zeng Yongming, Shen Peilin, Lin Xiaosheng, Yang Tian, Chen Binlie, Ma Zhiyan, Wang Huaiming
Department of Gastrointestinal Surgery, The First Affiliated Hospital of Shantou University Medical College, Shantou, 515041, People's Republic of China.
Department of Urology, The First Affiliated Hospital of Shantou University Medical College, Shantou, 515041, People's Republic of China.
Cancer Manag Res. 2021 Apr 9;13:3123-3132. doi: 10.2147/CMAR.S301844. eCollection 2021.
This study aimed to explore the function and clinical significance of in colorectal cancer (CRC).
The GEO, TCGA, and GEPIA databases were searched to evaluate the expression level of , while the SurvExpress online tool was used to explore its related clinical survival prognosis. The cBioPortal and LinkedOmics databases were used to identify expression-related genes. Protein-protein interaction (PPI) networks were analyzed using Cytoscape 3.7.1 and DAVID6.8, which was used to perform Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genome (KEGG) signal pathway enrichment. The immunohistochemistry of in CRC was detected using an online tool protein atlas. RNA isolation and reverse transcription-quantitative polymerase chain reaction (RT-qPCR) assays were used to detect expression in tissue and plasma samples.
Our study confirmed that was highly expressed in CRC lesions versus the adjacent normal tissues (P < 0.001). High expression was negatively associated with survival outcomes (P < 0.05). GO analysis showed that expression-related genes were enriched in single organismal cell-cell adhesion, post-transcriptional regulation of gene expression, and negative regulation of the vascular endothelial growth factor receptor signaling pathway (P < 0.05). On a KEGG pathway analysis, these genes were mainly involved in progesterone-mediated oocyte maturation, axon guidance, the insulin signaling pathway, and the ubiquitin-mediated proteolysis signaling pathways (P < 0.05). In the PPI analysis, the , and genes interacted with , and GEPIA predicted that their expression levels were all positively correlated with . Furthermore, a clinicopathological parameter analysis found that high expression was positively correlated with differentiation and TNM stage. RT-qPCR analysis further showed that plasma AVL9 expression was upregulated in CRC patients versus healthy controls.
AVL9 could serve as a potential biomarker and therapeutic target for CRC.
本研究旨在探讨[具体基因名称未给出]在结直肠癌（CRC）中的功能及临床意义。
检索GEO、TCGA和GEPIA数据库以评估[具体基因名称未给出]的表达水平，同时使用SurvExpress在线工具探索其相关的临床生存预后。利用cBioPortal和LinkedOmics数据库鉴定与[具体基因名称未给出]表达相关的基因。使用Cytoscape 3.7.1和DAVID6.8分析蛋白质-蛋白质相互作用（PPI）网络，DAVID6.8用于进行基因本体论（GO）和京都基因与基因组百科全书（KEGG）信号通路富集分析。使用在线工具蛋白质图谱检测CRC中[具体基因名称未给出]的免疫组织化学。采用RNA分离和逆转录定量聚合酶链反应（RT-qPCR）检测组织和血浆样本中[具体基因名称未给出]的表达。
我们的研究证实，与相邻正常组织相比，[具体基因名称未给出]在CRC病变中高表达（P < 0.001）。高[具体基因名称未给出]表达与生存结果呈负相关（P < 0.05）。GO分析表明，与[具体基因名称未给出]表达相关的基因富集于单细胞生物细胞-细胞黏附、基因表达的转录后调控以及血管内皮生长因子受体信号通路的负调控（P < 0.05）。在KEGG通路分析中，这些基因主要参与孕酮介导的卵母细胞成熟、轴突导向、胰岛素信号通路和泛素介导的蛋白水解信号通路（P < 0.05）。在PPI分析中[具体基因名称未给出]以及[其他相关基因名称未给出]基因与[具体基因名称未给出]相互作用，并且GEPIA预测它们的表达水平均与[具体基因名称未给出]呈正相关。此外，临床病理参数分析发现，高[具体基因名称未给出]表达与分化和TNM分期呈正相关。RT-qPCR分析进一步表明，与健康对照相比，CRC患者血浆中AVL9表达上调。
AVL9可作为CRC的潜在生物标志物和治疗靶点。
