Department of Oncology, The Seventh Affiliated Hospital Sun Yat-sen University, Shenzhen, Guangdong, 518107, PR China.
The First Affiliated Hospital Sun Yat-sen University, Guangzhou, Guangdong, 510030, PR China.
Recent Pat Anticancer Drug Discov. 2022;18(2):211-223. doi: 10.2174/1574892817666220831122226.
Lymphoid Enhancer-Binding Factor-1 (LEF1) was previously reported to contribute to a variety of malignancies, including Hepatocellular Carcinoma (HCC). However, its role in HCC is poorly understood.
To explore the role of LEF1 in HCC, including its prognostic and drug-targeting value.
The LEF1 expression and patient characteristics were investigated. The associations between clinical characteristics and LEF1 were analyzed using both univariate and multivariate logistic regression. Cox regression and Kaplan-Meier curves were used to explore the clinicopathological factors related to overall survival in patients with HCC. A nomogram to predict the survival rate was constructed and validated. The Kyoto Encyclopedia of Genes and Genomes database (KEGG) was used to explore the function of LEF1. Gene Set Enrichment Analysis (GSEA) was also performed using The Cancer Genome Atlas dataset. Furthermore, compounds that may have the potential to be targeted drugs in the treatment of LEF1-overexpressing HCC were identified using the Comparative Toxicogenomics Database (CTD), patents about these drugs in HCC were also reviewed through Worldwide Espacenet® and Patentscope®.
Increased expression of LEF1 was significantly associated with high histological grade of HCC (odds ratio (OR) = 2.521 for grade (G) 2 vs. G1, OR = 2.550 for G3 vs. G1, OR = 7.081 for G4 vs. G1, all P < 0.05). A Kaplan-Meier survival curve showed that HCC patients with LEF1 overexpression had a poor prognosis compared with those with normal LEF1 expression (P = 0.025). Multivariate Cox regression analysis revealed that LEF1 is an independent prognostic factor for the overall survival of patients with HCC (Hazard Ratio (HR) = 1.095; P = 0.04). The constructed nomogram to predict the survival rate produced a statistically significant prediction (area under the curve (AUC) = 86.68). In addition, Gene Ontology (GO) and KEGG analysis of genes co-expressed with the protein showed that LEF1 was associated with transcriptional regulation. GSEA suggested that the cell cycle, the WNT signaling pathway, and the NOTCH signaling pathway may be the key pathways regulated by LEF1 in HCC. Furthermore, the Comparative Toxicogenomics Database (CTD) identified nine compounds that may have the potential to be targeted drugs in the treatment of LEF1-overexpressing HCC. Patent reviews suggested that these drugs may show some efficacy in HCC, but whether these drugs interact with LEF1 and improve the prognosis for patients with HCC remains to be explored.
LEF1 is a latent prognostic molecular biomarker of HCC. The cell cycle, and WNT and NOTCH signaling pathways are regulated by LEF1 in HCC. LEF1 could be a potential drug target for HCC.
淋巴增强因子结合因子 1(LEF1)先前被报道在多种恶性肿瘤中发挥作用,包括肝细胞癌(HCC)。然而,其在 HCC 中的作用尚不清楚。
探索 LEF1 在 HCC 中的作用,包括其预后和药物靶向价值。
研究了 LEF1 的表达和患者特征。使用单因素和多因素逻辑回归分析了临床特征与 LEF1 之间的关联。Cox 回归和 Kaplan-Meier 曲线用于探索与 HCC 患者总生存期相关的临床病理因素。构建并验证了预测生存率的列线图。使用京都基因与基因组百科全书数据库(KEGG)探索 LEF1 的功能。还使用癌症基因组图谱数据集进行了基因集富集分析(GSEA)。此外,使用比较毒理学基因组数据库(CTD)鉴定了可能对 LEF1 过表达 HCC 具有治疗潜力的药物化合物,并通过全球专利数据库(Worldwide Espacenet®)和专利搜索引擎(Patentscope®)检索了这些药物在 HCC 中的专利。
LEF1 的高表达与 HCC 的高组织学分级显著相关(G2 与 G1 相比,OR=2.521;G3 与 G1 相比,OR=2.550;G4 与 G1 相比,OR=7.081,均 P<0.05)。Kaplan-Meier 生存曲线显示,LEF1 过表达的 HCC 患者预后较差,与 LEF1 正常表达的患者相比(P=0.025)。多因素 Cox 回归分析显示,LEF1 是 HCC 患者总生存期的独立预后因素(HR=1.095;P=0.04)。构建的预测生存率列线图具有统计学意义(曲线下面积(AUC)=86.68)。此外,与蛋白质共表达基因的基因本体论(GO)和 KEGG 分析表明,LEF1 与转录调控有关。GSEA 提示细胞周期、WNT 信号通路和 NOTCH 信号通路可能是 LEF1 在 HCC 中调节的关键通路。此外,比较毒理学基因组数据库(CTD)鉴定了 9 种可能对 LEF1 过表达 HCC 具有治疗潜力的化合物。专利审查表明,这些药物在 HCC 中可能具有一定疗效,但这些药物是否与 LEF1 相互作用并改善 HCC 患者的预后仍有待探讨。
LEF1 是 HCC 的潜在预后分子生物标志物。细胞周期、WNT 和 NOTCH 信号通路在 HCC 中受 LEF1 调节。LEF1 可能是 HCC 的潜在药物靶点。