Department of Medical Oncology, Affiliated Tumor Hospital of Guangxi Medical University, Nanning, Guangxi 530021, P.R. China.
Department of Otolaryngology and Head and Neck, The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi 530021, P.R. China.
Mol Med Rep. 2020 Aug;22(2):997-1007. doi: 10.3892/mmr.2020.11179. Epub 2020 May 22.
Increasing evidence suggests that long non-coding RNAs (lncRNAs) serve a crucial role in predicting prognosis for hepatocellular carcinoma (HCC). However, prognostic performance may not be the same for alcohol‑related HCC. The aim of the present study was to screen prognosis‑associated lncRNAs and construct a risk scoring system for alcohol‑related HCC. The expression profiles of lncRNAs in 113 patients with alcohol‑related HCC and 224 with non‑alcohol‑related HCC were obtained from The Cancer Genome Atlas (TCGA) database and screened for differentially expressed lncRNAs. Cox regression analysis was performed to identify prognosis‑associated lncRNAs and select the optimal lncRNA model. A risk scoring system was established to calculate the risk score for each patient. The prognostic ability of this system was tested. Functional enrichment analysis was performed for genes that were highly associated with lncRNA expression. A total of 102 differentially expressed lncRNAs were identified between alcohol‑related and non‑alcohol‑related HCC. Four lncRNAs (AC012640.1, AC013451.2, AC062004.1 and LINC02334) were used to construct the risk assessment model to predict overall survival (OS), and five lncRNAs (ERVH48‑1, LINC02043, LINC01605, AC062004.1 and AL139385) were used to predict recurrence‑free survival (RFS). Patients were assigned to high‑ or low‑risk groups according to the risk score. OS in the high‑risk group was significantly shorter than that of the low‑risk group. The area under the receiver operating characteristic (ROC) curve of risk scoring systems was >0.7. The risk score was an independent prognostic factor for alcohol‑related HCC. Functional enrichment analysis demonstrated that lncRNA‑related genes found in this system were mainly involved in chemical carcinogenesis, drug metabolism, and the cell cycle. In conclusion, this study developed and validated a prognostic scoring system for alcohol‑related HCC based on lncRNAs.
越来越多的证据表明，长链非编码 RNA（lncRNA）在预测肝细胞癌（HCC）的预后中起着至关重要的作用。然而，lncRNA 在酒精相关 HCC 中的预后性能可能并不相同。本研究旨在筛选与预后相关的 lncRNA，并构建酒精相关 HCC 的风险评分系统。从癌症基因组图谱（TCGA）数据库中获取了 113 例酒精相关 HCC 患者和 224 例非酒精相关 HCC 患者的 lncRNA 表达谱，并筛选出差异表达的 lncRNA。采用 Cox 回归分析鉴定与预后相关的 lncRNA，并选择最佳 lncRNA 模型。建立风险评分系统，计算每位患者的风险评分。测试该系统的预后能力。对与 lncRNA 表达高度相关的基因进行功能富集分析。在酒精相关和非酒精相关 HCC 之间共鉴定出 102 个差异表达的 lncRNA。使用 4 个 lncRNA（AC012640.1、AC013451.2、AC062004.1 和 LINC02334）构建风险评估模型预测总生存率（OS），并使用 5 个 lncRNA（ERVH48-1、LINC02043、LINC01605、AC062004.1 和 AL139385）预测无复发生存率（RFS）。根据风险评分将患者分为高风险组或低风险组。高风险组的 OS 明显短于低风险组。风险评分系统的受试者工作特征（ROC）曲线下面积（AUC）>0.7。风险评分是酒精相关 HCC 的独立预后因素。功能富集分析表明，该系统中发现的 lncRNA 相关基因主要参与化学致癌作用、药物代谢和细胞周期。总之，本研究基于 lncRNA 开发并验证了酒精相关 HCC 的预后评分系统。
