Shandong University of Traditional Chinese Medicine, Jinan, 250014, Shandong, China.
Department of Orthopedic Surgery, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China.
Reprod Sci. 2023 Feb;30(2):576-589. doi: 10.1007/s43032-022-01023-9. Epub 2022 Jul 19.
Necroptosis is one of the common modes of apoptosis, and it has an intrinsic association with cancer prognosis. However, the role of the necroptosis-related long non-coding RNA LncRNA (NRLncRNAs) in uterine corpora endometrial cancer (UCEC) has not yet been fully elucidated at present. Therefore, the present study is designed to investigate the potential prognostic value of necroptosis-related LncRNAs in UCEC. In the present study, the expression profiles and clinical data of UCEC patients were downloaded from TCGA database to identify the differentially expressed NRLncRNAs associated with overall survival. A LncRNA risk model was constructed via Cox regression analysis, and its prognostic value was evaluated. We have also further evaluated the relationships between the LncRNA features and the related cellular function, related pathways, immune status, and immune checkpoints m6A-related genes. Seven signatures, including PCAT19, CDKN2B-AS1, LINC01936, LINC02178, BMPR1B-DT, LINC00237, and TRPM2-AS, were established to assess the overall survival (OS) of the UCEC in the present study. Survival analysis and ROC curves indicated that the correlated signature has good predictable performance. The normogram could accurately predict the overall survival of the patients with an excellent clinical practical value. Enrichment analysis of gene sets indicated that risk signals were enriched in several immune-related pathways. In addition, the risk characteristics were significantly correlated with immune cells, immune function, immune cell infiltration, immune checkpoints, and some m6A-related genes. This study has identified seven necroptosis-related LncRNA signatures for the first time, providing a valuable basis for a more accurate prognostic prediction of UCEC.
细胞坏死是细胞凋亡的一种常见方式，它与癌症的预后有内在的关联。然而，目前尚未完全阐明与细胞坏死相关的长链非编码 RNA（LncRNA）在子宫内膜癌（UCEC）中的作用。因此，本研究旨在探讨与细胞坏死相关的 LncRNAs 在 UCEC 中的潜在预后价值。
在本研究中，从 TCGA 数据库中下载了 UCEC 患者的表达谱和临床数据，以确定与总生存期相关的差异表达的与细胞坏死相关的 LncRNA。通过 Cox 回归分析构建了 LncRNA 风险模型，并评估了其预后价值。我们还进一步评估了 LncRNA 特征与相关细胞功能、相关途径、免疫状态和免疫检查点 m6A 相关基因之间的关系。
在本研究中，建立了七个特征，包括 PCAT19、CDKN2B-AS1、LINC01936、LINC02178、BMPR1B-DT、LINC00237 和 TRPM2-AS，以评估 UCEC 的总生存期（OS）。生存分析和 ROC 曲线表明，相关特征具有良好的预测性能。列线图可以准确预测患者的总生存期，具有极好的临床实用价值。基因集的富集分析表明，风险信号富集在几个免疫相关途径中。此外，风险特征与免疫细胞、免疫功能、免疫细胞浸润、免疫检查点和一些 m6A 相关基因显著相关。
本研究首次鉴定了七个与细胞坏死相关的 LncRNA 特征，为更准确地预测 UCEC 的预后提供了有价值的依据。
