Guangxi Medical University affiliated Cancer Hospital, NO.71 Hedi Road Qingxiu Square, Nanning City, Guangxi Province, China.
BMC Cancer. 2020 Sep 29;20(1):926. doi: 10.1186/s12885-020-07265-7.
To study the risk factors involved in the occurrence and progression of cervical intraepithelial neoplasia (CIN) and to establish predictive models.
Genemania was used to build a gene network. Then, the core gene-related pathways associated with the occurrence and progression of CIN were screened in the Kyoto Encyclopedia of Genes and Genomes (KEGG) database. Real-time fluorescence quantitative polymerase chain reaction (RT-qPCR) experiments were performed to verify the differential expression of the identified genes in different tissues. R language was used for predictive model establishment.
A total of 10 genes were investigated in this study. A total of 30 cases of cervical squamous cell cancer (SCC), 52 cases of CIN and 38 cases of normal cervix were enrolled. Compared to CIN cases, the age of patients in the SCC group was older, the number of parities was greater, and the percentage of patients diagnosed with CINII+ by TCT was higher. The expression of TGFBR2, CSKN1A1, PRKCI and CTBP2 was significantly higher in the SCC groups. Compared to patients with normal cervix tissue, the percentage of patients who were HPV positive and were diagnosed with CINII+ by TCT was significantly higher. FOXO1 expression was significantly higher in CIN tissue, but TGFBR2 and CTBP2 expression was significantly lower in CIN tissue. The significantly different genes and clinical factors were included in the models.
Combination of clinical and significant genes to establish the random forest models can provide references to predict the occurrence and progression of CIN.
研究宫颈上皮内瘤变（CIN）发生和进展的相关危险因素，并建立预测模型。
使用 Genemania 构建基因网络，然后在京都基因与基因组百科全书（KEGG）数据库中筛选与 CIN 发生和进展相关的核心基因相关途径。实时荧光定量聚合酶链反应（RT-qPCR）实验验证鉴定基因在不同组织中的差异表达。使用 R 语言建立预测模型。
本研究共调查了 10 个基因。共纳入 30 例宫颈鳞癌（SCC）、52 例 CIN 和 38 例正常宫颈患者。与 CIN 病例相比，SCC 组患者年龄较大，产次较多，TCT 诊断为 CINII+的患者比例较高。SCC 组 TGFBR2、CSKN1A1、PRKCI 和 CTBP2 的表达明显升高。与正常宫颈组织患者相比，HPV 阳性和 TCT 诊断为 CINII+的患者比例明显升高。FOXO1 在 CIN 组织中的表达明显升高，而 TGFBR2 和 CTBP2 在 CIN 组织中的表达明显降低。模型中纳入了差异显著的基因和临床因素。
结合临床和显著基因建立随机森林模型，为预测 CIN 的发生和进展提供参考。
