Department of Biostatistics, School of Public Health, Nanjing Medical University 101 Longmian Avenue, Nanjing, P.R. China.
Department of Gynecology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Medicine (Baltimore). 2024 May 10;103(19):e38116. doi: 10.1097/MD.0000000000038116.
RNA editing, as an epigenetic mechanism, exhibits a strong correlation with the occurrence and development of cancers. Nevertheless, few studies have been conducted to investigate the impact of RNA editing on cervical squamous cell carcinoma and endocervical adenocarcinoma (CESC). In order to study the connection between RNA editing and CESC patients' prognoses, we obtained CESC-related information from The Cancer Genome Atlas (TCGA) database and randomly allocated the patients into the training group or testing group. An RNA editing-based risk model for CESC patients was established by Cox regression analysis and least absolute shrinkage and selection operator (LASSO). According to the median score generated by this RNA editing-based risk model, patients were categorized into subgroups with high and low risks. We further constructed the nomogram by risk scores and clinical characteristics and analyzed the impact of RNA editing levels on host gene expression levels and adenosine deaminase acting on RNA. Finally, we also compared the biological functions and pathways of differentially expressed genes (DEGs) between different subgroups by enrichment analysis. In this risk model, we screened out 6 RNA editing sites with significant prognostic value. The constructed nomogram performed well in forecasting patients' prognoses. Furthermore, the level of RNA editing at the prognostic site exhibited a strong correlation with host gene expression. In the high-risk subgroup, we observed multiple biological functions and pathways associated with immune response, cell proliferation, and tumor progression. This study establishes an RNA editing-based risk model that helps forecast patients' prognoses and offers a new understanding of the underlying mechanism of RNA editing in CESC.
RNA 编辑作为一种表观遗传机制，与癌症的发生和发展密切相关。然而，目前针对 RNA 编辑与宫颈鳞状细胞癌和宫颈内膜腺癌（CESC）之间的关系的研究还很少。为了研究 RNA 编辑与 CESC 患者预后之间的关系，我们从癌症基因组图谱（TCGA）数据库中获取了与 CESC 相关的信息，并将患者随机分配到训练组或测试组。我们通过 Cox 回归分析和最小绝对收缩和选择算子（LASSO）建立了基于 RNA 编辑的 CESC 患者风险模型。根据该 RNA 编辑风险模型生成的中位数评分，我们将患者分为高风险和低风险亚组。我们进一步通过风险评分和临床特征构建了列线图，并分析了 RNA 编辑水平对宿主基因表达水平和腺苷脱氨酶作用于 RNA 的影响。最后，我们还通过富集分析比较了不同亚组间差异表达基因（DEGs）的生物学功能和通路。在该风险模型中，我们筛选出 6 个具有显著预后价值的 RNA 编辑位点。构建的列线图在预测患者预后方面表现良好。此外，预后位点的 RNA 编辑水平与宿主基因表达具有很强的相关性。在高风险亚组中，我们观察到与免疫反应、细胞增殖和肿瘤进展相关的多种生物学功能和通路。本研究建立了基于 RNA 编辑的风险模型，有助于预测患者的预后，并为 RNA 编辑在 CESC 中的潜在机制提供了新的认识。
