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| 1 | 肝细胞癌切除术后早期复发危险因素的研究进展显示文摘肝细胞癌(hepatocellular carcinoma,HCC)是我国常见的恶性肿瘤之一,肝切除术仍是HCC首选的治疗方式,然而其术后复发率高,特别是早期复发严重影响患者的预后.HCC术后早期复发危险因素可大致归纳为患者自身因素、肿瘤特性、治疗相关等三大原因.本文结合最新的相关研究文献,针对上述三大原因对HCC术后早期复发相关危险因素做一综述. | 朱昱 英卫东 | 2020 | 中华普通外科杂志2020，35，8： | 5 |
| 2 | Eight key long non-coding RNAs predict hepatitis virus positive hepatocellular carcinoma as prognostic targets显示文摘BACKGROUND Hepatitis B virus,together with hepatitis C virus,has been recognized as the leading causes of hepatocellular carcinoma(HCC).Long non-coding RNAs(lncRNAs)have been suggested in increasing studies to be the potential prognostic factors for HCC.However,the role of combined application of lncRNAs in estimating overall survival(OS)for hepatitis virus positive HCC(VHCC)is uncertain.AIM To construct an lncRNA signature related to the OS of VHCC patients to enhance the accuracy of prognosis prediction.METHODS The expression patterns of lncRNAs,as well as related clinical data were collected from 149 VHCC patients from The Cancer Genome Atlas database.The R package was adopted to obtain the differentially expressed lncRNAs(DElncRNAs).LncRNAs significantly associated with OS were screened by means of univariate Cox regression analysis,so as to construct a least absolute shrinkage and selection operator(LASSO)model.Subsequently,the constructed lncRNA signature was developed and validated.Afterwards,the prognostic nomogram was established,which combined the as-established lncRNA signature as well as the clinical features.Meanwhile,subgroup analysis stratified by the virus type was also performed.Finally,the above-mentioned lncRNAs were enriched to corresponding pathways according to the markedly coexpressed genes.RESULTS A total of 1420 DElncRNAs were identified,among which 406 were significant in univariate Cox regression analysis.LASSO regression confirmed 8 out of the 406 lncRNAs,including AC005722.2,AC107959.3,AL353803.1,AL589182.1,AP000844.2,AP002478.1,FLJ36000,and NPSR1-AS1.Then,the prognostic risk score was calculated.Our results displayed a significant association between the risk model and the OS of VHCC[hazard ratio=1.94,95%confidence interval(CI):1.61-2.34,log-rank P=2e-10].The inference tree suggested that the established lncRNA signature was useful in the risk stratification of VHCC.Furthermore,a nomogram was plotted,and the concordance index of internal validation was 0.763(95%CI:0.700-0.826).Moreover,the subgroup analysis regarding etiology confirmed this risk model.In addition,the Wnt signaling pathway,angiogenesis,the p53 pathway,and the PI3 kinase pathway were the remarkably enriched pathways.CONCLUSION An eight-lncRNA signature has been established to predict the prognosis for VHCC,which contributes to providing a novel foundation for the targeted therapy of VHCC. | Zi-Lin Huang Wang Li Qi-Feng Chen Pei-Hong Wu Lu-Jun Shen | 2019 | World Journal of Gastrointestinal Oncology2019，11，11： | 3 |
| 3 | Significance of tumor-infiltrating immunocytes for predicting prognosis of hepatitis B virus-related hepatocellular carcinoma显示文摘BACKGROUND Hepatitis B virus (HBV) has been recognized as a leading cause of hepatocellular carcinoma (HCC). Numerous reports suggest that immune infiltration can predict the prognosis of HCC. Nonetheless, no creditable markers for prognosis of HBV-related HCC have been established by systematically assessing the immune-related markers based on tumor transcriptomes. AIM To establish an immune-related marker based on the cell compositions of immune infiltrate obtained based on tumor transcriptomes, so as to enhance the prediction accuracy of HBV-related HCC prognosis. METHODS RNA expression patterns as well as the relevant clinical data of HCC patients were obtained from The Cancer Genome Atlas. Twenty-two immunocyte fraction types were estimated by cell type identification by estimating relative subsets of RNA transcripts. Subsequently, the least absolute shrinkage and selection operator (LASSO) Cox regression model was employed to construct an immunoscore based on the immunocyte fraction types. Afterwards, the receiver operating characteristic (ROC) curve, Kaplan-Meier, and multivariate Cox analyses were performed. Additionally, a nomogram for prognosis that integrated the immunoscore as well as the clinical features was established. Meanwhile, the correlation of immunoscore with immune genes was also detected, and gene set enrichment analysis (GSEA) of the immunoscore was conducted. RESULTS A total of 22 immunocyte fraction types were predicted and compared among the tumor as well as non-tumor samples. An immunoscore was constructed through adopting the LASSO model, which contained eight immunocyte fraction types. Meanwhile, the areas under the ROC curves for the immunoscore biomarker prognostic model were 0.971, 0.912, and 0.975 for 1-, 3-, and 5-year overall survival (OS), respectively. Difference in OS between the high-immunoscore group and the low-immunoscore group was statistically significant [hazard ratio (HR)= 66.007, 95% confidence interval (CI): 8.361-521.105;P < 0.0001]. Moreover, multivariable analysis showed that the immunoscore was an independent factor for predicting the prognosis (HR = 2.997, 95%CI: 1.737-5.170). A nomogram was established, and the C-index was 0.757 (95%CI: 0.648-0.866). The immunoscore showed a significant negative correlation with the expression of PD-1 (P = 0.024), PD-L1 (P = 0.026), PD-L2 (P = 0.029), and CD27 (P = 0.033). Eight pathways were confirmed by GSEA. CONCLUSION The established immunoscore can potentially serve as a candidate marker to estimate the OS for HBV-related HCC cases. | Qi-Feng Chen Wang Li Pei-Hong Wu Lu-Jun Shen Zi-Lin Huang | 2019 | World Journal of Gastroenterology2019，25，35： | 1 |
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