BACKGROUND: Microvascular invasion (MVI) is considered as one of the most powerful prognostic factors in hepatocellular carcinoma (HCC). Currently, it could only be diagnosed by post-operative histological examination. This study aimed to assess the diagnostic value of serum paraoxonase 1 (PON1) for MVI. METHODS: In this study, we analyzed data from 754 HCC patients who underwent surgical treatment between December 2010 and November 2011. Serum PON1 was measured by ELISA and receiver operating characteristic (ROC) curve was applied to calculate diagnostic accuracy. RESULTS: MVI was detected in 174 of 505 patients (34.5%) in the test cohort and 84 of 249 patients (33.7%) in the validation cohort. Univariate analyses indicated tumor size, AFP, and PON1 were significantly related with vascular invasion status. ROC curves determined the optimum diagnostic cutoff value for PON1 was 191.12 ng/mL (AUC 0.754, 95% CI: 0.710-0.798, sensitivity 70.67%, specificity 78.11% in the test cohort), which was significantly better than AFP (cutoff value 279.8 ng/mL, AUC 0.666, 95% CI: 0.618-0.714, sensitivity 40.38%, specificity 85.19%, P=0.0063). In the sHCC sub-group, PON1 retained diagnostic value (AUC 0.738, 95% CI: 0.680-0.796, sensitivity 72.82%, specificity 76.57% in the test cohort), while AFP failed to do so (AUC 0.579, 95% CI: 0.511-0.647, sensitivity 26.21%, specificity 86.84%, P=0.0003). These results were further confirmed by the validation cohort. The combination of PON1 and AFP increased the diagnostic accuracy for vascular invasion compared with either test alone (AUC 0.785, 95% CI: 0.744-0.826, sensitivity 75.96%, specificity 77.44%; PON1 plus AFP vs. PON1 alone, P=0.0004; PON1 plus AFP vs. AFP alone, P<0.0001). CONCLUSIONS: Serum PON1 could potentially be used to diagnose MVI and could be used to guide more personalized treatment strategy.
Serum PON1 as a biomarker for the estimation of microvascular invasion in hepatocellular carcinoma.
血清PON1作为评估肝细胞癌微血管侵犯的生物标志物
阅读:7
作者:Ding Guang-Yu, Zhu Xiao-Dong, Ji Yuan, Shi Guo-Ming, Shen Ying-Hao, Zhou Jian, Fan Jia, Sun Hui-Chuan, Huang Cheng
| 期刊: | Annals of Translational Medicine | 影响因子: | 0.000 |
| 时间: | 2020 | 起止号: | 2020 Mar;8(5):204 |
| doi: | 10.21037/atm.2020.01.44 | 研究方向: | 细胞生物学 |
特别声明
1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。
2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。
3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。
4、投稿及合作请联系:info@biocloudy.com。
