Department of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
J Ovarian Res. 2023 May 15;16(1):96. doi: 10.1186/s13048-023-01182-6.
Ovarian cancer (OC) is one of the common malignant tumors that seriously threaten women's health, and there is a lack of clinical prognostic predictors, while m5c and lncRNA have been shown to be predictive of multiple cancers, including OC. Therefore, our goal was to construct a risk model for OC based on m5c-related lncRNA.340 m5c-related lncRNA were identified and a novel risk model of OC ground on nine m5C-related lncRNA was constructed using LASSO-COX regression analysis. Kaplan-Meier analysis showed there was a significant difference in prognosis between risk groups. We established a nomogram which was a good predictor of overall survival. In addition, GSEA was enriched in multiple pathways and immune function analysis suggested that immune infiltration varies depending on the risk group. In vitro experiments show that AC005562.1, a key lncRNA of the risk model, is highly expressed in OC cells and promotes OC cell proliferation. Finally, we further explored the potential biological markers of m5c-related lncRNA in OC with WGCNA analysis and established a ceRNA network. In conclusion,we have developed a reliable m5c-related prediction model and performed systematic validation and exploration of various aspects. These results can be used for the assessment of OC prognosis and the discovery of novel biomarkers.
卵巢癌（OC）是严重威胁女性健康的常见恶性肿瘤之一，目前缺乏临床预后预测指标，而 m5c 和 lncRNA 已被证明可预测多种癌症，包括 OC。因此，我们的目标是构建基于 m5c 相关 lncRNA 的 OC 风险模型。鉴定了 340 个 m5c 相关 lncRNA，并使用 LASSO-COX 回归分析构建了基于 9 个 m5C 相关 lncRNA 的新型 OC 风险模型。Kaplan-Meier 分析显示，风险组之间的预后存在显著差异。我们建立了一个列线图，这是总生存的良好预测指标。此外，GSEA 富集了多个通路，免疫功能分析表明，免疫浸润因风险组而异。体外实验表明，风险模型关键 lncRNA AC005562.1 在 OC 细胞中高表达，并促进 OC 细胞增殖。最后，我们通过 WGCNA 分析进一步探讨了 OC 中 m5c 相关 lncRNA 的潜在生物学标志物，并建立了 ceRNA 网络。总之，我们开发了一种可靠的 m5c 相关预测模型，并对其进行了系统的验证和多方面的探索。这些结果可用于评估 OC 的预后和发现新的生物标志物。
