Laboratory of Surgery, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510080, China.
Department of Biliary and Pancreatic Surgery, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510080, China.
Dig Dis Sci. 2018 Apr;63(4):945-957. doi: 10.1007/s10620-018-4961-3. Epub 2018 Feb 13.
Alpha-fetal protein (AFP) is an important conventional clinical diagnostic indicator of hepatocellular carcinoma (HCC). However, the utilization of AFP alone might yield deceptive results due to its limited sensitivity and accuracy.
Our study was designed to investigate latent diagnostic biomarkers that could function as auxiliary clinical indicators of HCC and enhance the accuracy of joint diagnosis with AFP.
We analyzed gene expression profiles and clinical data from HCC patients in The Cancer Genome Atlas database. Differentially expressed genes were identified, and a gene set enrichment analysis was conducted to uncover their biological functions and molecular processes. A weighted correlation network analysis and a protein-protein interaction analysis were performed to detect AFP-related biomarkers. The diagnostic performance of these biomarkers was verified using datasets from the GEO database. A diagnostic nomogram was established using the expression levels of potential biomarkers. Quantitative real-time PCR was performed using tissues from 16 HCC patients to validate the results.
Five AFP-related diagnostic biomarkers, CDT1, MCM7, NUDT1, CENPM, and HDAC11, were discovered. The diagnostic performance of these biomarkers and the nomogram were demonstrated to be excellent according to receiver operating characteristic curves. CDT1, MCM7, and NUDT1 were shown to be up-regulated in HCC tissues through quantitative real-time PCR.
We discovered five diagnostic biomarkers and established a nomogram as a complement to AFP in the diagnosis of HCC. Our results provide a more accurate diagnostic plan for HCC patients based on next-generation sequencing compared with AFP alone.
甲胎蛋白(AFP)是肝细胞癌(HCC)的重要常规临床诊断指标。然而,由于其灵敏度和准确性有限,单独使用 AFP 可能会产生误导性结果。
本研究旨在探讨潜在的诊断生物标志物,作为 HCC 的辅助临床指标,提高与 AFP 联合诊断的准确性。
我们分析了来自癌症基因组图谱数据库的 HCC 患者的基因表达谱和临床数据。鉴定差异表达基因,并进行基因集富集分析以揭示其生物学功能和分子过程。进行加权相关网络分析和蛋白质-蛋白质相互作用分析以检测与 AFP 相关的生物标志物。使用 GEO 数据库中的数据集验证这些生物标志物的诊断性能。使用来自 16 名 HCC 患者的组织建立了一个基于潜在生物标志物表达水平的诊断列线图。使用定量实时 PCR 验证结果。
发现了五个与 AFP 相关的诊断生物标志物,即 CDT1、MCM7、NUDT1、CENPM 和 HDAC11。根据接收者操作特征曲线,这些生物标志物和列线图的诊断性能被证明是优秀的。通过定量实时 PCR 显示 CDT1、MCM7 和 NUDT1 在 HCC 组织中上调。
我们发现了五个诊断生物标志物,并建立了一个列线图,作为 AFP 在 HCC 诊断中的补充。与单独使用 AFP 相比,我们的结果基于下一代测序为 HCC 患者提供了更准确的诊断方案。