Liu Yan, Deng Mingming, Wang Yimeng, Wang Huiqin, Li Changping, Wu Hao
Department of Gastroenterology, The Chengdu Fifth People's Hospital, Chengdu, Sichuan 611130, P.R. China.
Department of Gastroenterology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan 646000, P.R. China.
Oncol Lett. 2020 Jun;19(6):3799-3814. doi: 10.3892/ol.2020.11493. Epub 2020 Mar 29.
Hepatocellular carcinoma (HCC) is a malignant tumor with extensive metastasis. Changes in the tumor microenvironment provide favorable conditions for tumor metastasis. However, the role of changes to the tumor microenvironment in HCC metastasis is yet to be elucidated. The Gene Expression Omnibus expression profile GSE5093 consists of 20 noncancerous tissues surrounding HCC tissues, including 9 metastasis-inclined microenvironment samples with detectable metastases and 11 metastasis-averse microenvironment samples without detectable metastases. The present study assessed 35 HCC samples to verify the results of chip analysis. In total, 712 upregulated and 459 downregulated genes were identified, with 1,033 nodes, 7,589 edges and 10 hub genes. Gene ontology and Kyoto Encyclopedia of Genes and Genomes pathway analysis revealed that the differentially expressed genes were significantly enriched in 'cell-cell adhesion', 'cell proliferation' and 'protein binding'. The top 10 hub genes were identified via a protein-protein interaction analysis. The 3 most significant modules were identified from the protein-protein network. Moreover, an association between hub genes and patient prognosis was identified. In conclusion, these candidate genes and pathways may help elucidate the mechanisms underlying HCC metastasis and identify more options for targeted therapy.
肝细胞癌(HCC)是一种具有广泛转移的恶性肿瘤。肿瘤微环境的变化为肿瘤转移提供了有利条件。然而,肿瘤微环境变化在HCC转移中的作用尚待阐明。基因表达综合数据库表达谱GSE5093由HCC组织周围的20个非癌组织组成,包括9个有可检测转移灶的倾向转移微环境样本和11个无可检测转移灶的抗转移微环境样本。本研究评估了35个HCC样本以验证芯片分析结果。总共鉴定出712个上调基因和459个下调基因,有1033个节点、7589条边和10个枢纽基因。基因本体论和京都基因与基因组百科全书通路分析表明,差异表达基因在“细胞-细胞黏附”“细胞增殖”和“蛋白质结合”中显著富集。通过蛋白质-蛋白质相互作用分析鉴定出前10个枢纽基因。从蛋白质-蛋白质网络中鉴定出3个最显著的模块。此外,还确定了枢纽基因与患者预后之间的关联。总之,这些候选基因和通路可能有助于阐明HCC转移的潜在机制,并为靶向治疗确定更多选择。