Department of Obstetrics and Gynecology, Renmin Hospital of Wuhan University, Wuhan, China.
Department of Clinical Laboratory, Renmin Hospital of Wuhan University, Wuhan, China.
J Cell Physiol. 2019 May;234(5):7004-7011. doi: 10.1002/jcp.27453. Epub 2018 Oct 26.
Cervical cancer (CC) is the most common malignant tumor with poor clinical outcome among women. Identification of novel biomarkers could be beneficial for the clinical diagnosis and treatment of CC. This study aimed to identify prognostic biomarkers for the prediction of prognostic status of CC patients, and explore the effect of the corresponding methylated genes in the occurrence and development of CC. The methylation microarray data of CC was extracted from The Cancer Genome Atlas (TCGA) dataset. The methylation genes associated with the prognostic status were identified based on the information of the relapse-free survival (RFS) of the CC patients. The prognostic gene pairs were further identified. Then, the prognostic signature was identified by the forward search algorithm based on the C-index method. The results were validated by independent dataset. Finally, the functional analysis was performed on the methylation genes. A total of 276 methylation genes and 2508 gene pairs associated with the prognostic status of the CC were identified. A signature composed of eight methylation gene pairs was obtained to predict the prognostic status of cervical patients. A series of genes that played an important role in the occurrence and development of CC were obtained by the functional enrichment analysis. To summary, a prognostic signature consisting of eight methylation gene pairs was obtained. Of note, the CD28 and PTEN gene pair were found to play important roles in the occurrence and development of CC.
宫颈癌（CC）是女性中最常见的恶性肿瘤，临床预后较差。鉴定新的生物标志物可能有助于 CC 的临床诊断和治疗。本研究旨在鉴定用于预测 CC 患者预后状态的预后生物标志物，并探讨相应甲基化基因在 CC 发生发展中的作用。从癌症基因组图谱（TCGA）数据集提取 CC 的甲基化微阵列数据。基于 CC 患者无复发生存（RFS）的信息，确定与预后状态相关的甲基化基因。进一步鉴定预后基因对。然后，基于 C 指数法的正向搜索算法确定预后特征。通过独立数据集进行验证。最后，对甲基化基因进行功能分析。鉴定出 276 个与 CC 预后状态相关的甲基化基因和 2508 个基因对。获得了由 8 个甲基化基因对组成的预测宫颈癌患者预后的特征。通过功能富集分析获得了一系列在 CC 发生和发展中起重要作用的基因。总之，获得了一个由 8 个甲基化基因对组成的预后特征。值得注意的是，CD28 和 PTEN 基因对在 CC 的发生和发展中起重要作用。
