Hepatocellular carcinoma (HCC) is one of the most common public health challenges, worldwide. Because of molecular complexity and tumor heterogeneity, there are no effective predictive models for prognosis of HCC. This underlines the unmet need for accurate prognostic models for HCC. Analysis of GSE14520 data from gene omnibus (GEO) database identified multiple differentially expressed mRNAs (DEMs) between HCC and normal tissues. After randomly stratifying the patients into the training and testing groups, we performed univariate, lasso, and multivariable Cox regression analyses to delineate the prognostic gene signature in training set. We then used Kaplan–Meier plot, time‐dependent receiver operating characteristic (ROC), multivariable Cox regression analysis of clinical information, nomogram, and decision curve analysis (DCA) to evaluate the predictive and overall survival value of a novel five‐gene signature (CNIH4, SOX4, SPP1, SORBS2, and CCL19) within and across sets, separately and combined. We also validated the prognostic value of the five‐gene signature using The Cancer Genome Atlas—Liver Hepatocellular Carcinoma (TCGA‐LIHC), GSE54236 and International Cancer Genome Consortium (ICGC) sets. Multivariable Cox regression analysis revealed that the five‐gene signature and tumor node metastasis (TNM) stage were independent prognostic factors for overall survival of HCC patients in GSE14520 and TCGA‐LIHC. Combining TNM stage clinical pathological parameters and nomogram greatly improved the prognosis prediction of HCC. Further gene set enrichment analysis (GSEA) revealed enrichment of KEGG pathways related to cell cycle in the high‐risk group and histidine metabolism in the low‐risk group. Finally, all these five mRNAs are overexpressed between 12 pairs of HCC and adjacent normal tissues by quantitative real‐time PCR validation. In brief, a five‐gene prognostic signature and a nomogram were identified and constructed, respectively, and further validated for their HCC prognostic value. The five‐gene risk score together with TNM stage models could aid in rationalizing customized therapies in HCC patients.

Adipose-derived stem cells (ADSCs) derived from adipose tissue have the capacity to differentiate into endodermal, mesoderm, and ectodermal cell lineages in vitro, which are an ideal engraft in tissue-engineered repair. In this study, human ADSCs were isolated from subcutaneous fat. The markers of ADSCs, CD13, CD71, CD73, CD90, CD105, CD166, CYP3A4, and ALB were detected by immunofluorescence assays. Human ADSCs were cultured in a specific hepatogenesis differentiation medium containing HGF, bFGF, nicotinamide, ITS, and oncostatin M for hepatogenic differentiation. The hepatocyte markers were analyzed using immunofluorescence and real-time PCR after dramatic changes in morphology. Hepatocytes derived from ADSCs or ADSCs were transplanted into the mice of liver injury for observation cells colonization and therapy in liver tissue. The result demonstrated that human ADSCs were positive for the CD13, CD71, CD73, CD90, CD105, and CD166 but negative for hepatocyte markers, ALB and CYP3A4. After hepatogenic differentiation, the hepatocytes were positive for liver special markers, gene expression level showed a time-lapse increase with induction time. Human ADSCs or ADSCs-derived hepatocyte injected into the vein could improve liver function repair and functionally rescue the CCl-treated mice with liver injury, but the ADSCs transplantation was better than ADSCs-derived hepatocyte transplantation. In conclusion, our research shows that a population of hepatocyte can be specifically generated from human ADSCs and that cells may allow for participation in tissue-repair.

Hepatocellular carcinoma (HCC) is one of the dominating tumors causing death due to lack of timely discovery and valid treatment. Abnormal increase of Rac GTPase activating protein 1 (RACGAP1) has been verified to be an oncogene in plenty tumors. The profound mechanism of RACGAP1 was rarely reported in HCC. In this study, we explored the function and mechanism of RACGAP1 in HCC through multiple analysis and experiments. RACGAP1 expression was up-regulated in HCC samples and the high expression of RACGAP1 was an independent prognostic risk factor for HCC patients. Meanwhile, RACGAP1 promoted developments of HCC both in vitro and in vivo. We verified that RACGAP1 promoted proliferation of HCC via PI3K/AKT/CDK2 and PI3K/AKT/GSK3β/Cyclin D1 signaling pathway. RACGAP1 accelerated the invasion and metastasis of HCC via phosphorylation of GSK3β and nuclear translocation of β-catenin. Furthermore, by luciferase reporter assay and Chromatin immunoprecipitation (ChIP) assay, we confirmed Recombinant GA Binding Protein Transcription Factor Alpha (GABPA) regulated the transcription of RACGAP1. All these findings revealed that RACGAP1 promotes the progression of HCC through a novel mechanism, which might be a new therapeutic target for HCC patients.

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