Shentao Ruangan formula promotes apoptosis via the E2F2-p53 pathway in hepatocellular carcinoma.

BACKGROUND: Hepatocellular carcinoma (HCC) is a malignant tumor with high morbidity and mortality rates. E2F2 is an independent predictor of poor prognosis in HCC; however, The mechanism by which E2F2 promotes the progression of HCC remains unclear. The Shentao Ruangan (STR) formula exhibits antitumor efficacy against HCC; however, the underlying antitumor mechanisms remain unknown. PURPOSE: To explore the regulatory effect of E2F2 on the p53 signaling pathway and reveal the role and mechanism of STR in promoting cell apoptosis via the E2F2-p53 signaling pathway in HCC. METHODS: E2F2 overexpression or silencing by lentivirus in HepG2 cells were used to explore their influence on apoptosis and the p53 pathway. An H22 tumor-bearing mice model was used to determine the therapeutic efficacy of STR and its effects on the E2F2-p53 pathway. STR-mediated serum (STR-MS) was prepared, and its chemical constituents were identified using mass spectrometry. The effects of STR-MS on viability and apoptosis of HepG2 cells and the E2F2-p53 pathway were investigated and validated using rescue experiments. RESULTS: E2F2 overexpression significantly inhibited apoptosis and the p53 pathway in HepG2 cells, whereas E2F2-silenced HepG2 cells showed the reverse. This increased apoptosis was rescued by the addition of a p53 inhibitor (PFT-α) to E2F2-silenced HepG2 cells. In vivo, high doses of STR could remarkably inhibit the growth of xenografts, promote the apoptosis of hepatoma cells, downregulate E2F2, and activate the p53-dependent mitochondrial apoptotic pathway with good safety. In vitro, STR-MS exhibited similar effectiveness, and the best effect was achieved at 30% STR-MS concentration for 48 h. When 30% STR-MS was added to E2F2-overexpressing cells, the increased apoptosis and expression of key proteins in the p53-dependent mitochondrial apoptosis pathway were significantly rescued. CONCLUSION: Our findings demonstrate, for the first time, that E2F2 inhibits hepatoma cell apoptosis in a p53-dependent manner and that STR may promote apoptosis by regulating the E2F2-p53 pathway in HCC.

Highly expressed centromere protein L indicates adverse survival and associates with immune infiltration in hepatocellular carcinoma.

BACKGROUND: Hepatocellular carcinoma (HCC) is characterized by rapid progression, high recurrence rate and poor prognosis. Early prediction for the prognosis and immunotherapy efficacy is of great significance to improve the survival of HCC patients. However, there is still no reliable predictor at present. This study is aimed to explore the role of centromere protein L (CENPL) in predicting prognosis and its association with immune infiltration in HCC. METHODS: The expression of CENPL was identified through analyzing the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) data. The association between CENPL expression and clinicopathological features was investigated by the Wilcoxon signed-rank test or Kruskal Wallis test and logistic regression. The role of CENPL in prognosis was examined via Kaplan-Meier method and Log-rank test as well as univariate and multivariate Cox regression analysis. Besides, in TIMER and GEPIA database, we investigated the correlation between CENPL level and immunocyte and immunocyte markers, and the prognostic-related methylation sites in CENPL were identified by MethSurv. RESULTS: CENPL had a high expression in HCC samples. Increased CENPL was prominently associated with unfavorable survival, and maybe an independent prognostic factor of worse overall survival (OS), disease-specific survival (DSS), disease-free interval (DFI), progression-free interval (PFI). Additionally, CENPL expression was significantly correlated with immune cell infiltration and some markers. CENPL also contained a methylation site that was notably related to poor prognosis. CONCLUSIONS: Elevated CENPL may be a promising prognostic marker and associate with immune infiltration in HCC.

Elevated CDK5R1 predicts worse prognosis in hepatocellular carcinoma based on TCGA data.

BACKGROUND: Hepatocellular carcinoma (HCC) is a malignant tumor with rapid progression, high recurrence rate and poor prognosis. The objective of our investigation was to explore the prognostic value of CDK5R1 in HCC. METHODS: The raw data of HCC raw data were downloaded from The Cancer Genome Atlas (TCGA) database. The Wilcoxon signed-rank test, Kruskal-Wallis test and logistic regression were applied to investigate the relevance between the CDK5R1 expression and clinicopathologic characteristics in HCC. Kaplan-Meier and Cox regression analysis were employed to examine the association between clinicopathologic features and survival. Gene set enrichment analysis (GSEA) was applied to annotate the biological function of CDK5R1. RESULTS: CDK5R1 was highly expressed in HCC tissues. The high expression of CDK5R1 in HCC tissues was significantly associated with tumor status (P=0.00), new tumor event (P=0.00), clinical stage (P=0.00) and topography (P=0.00). Elevated CDK5R1 had significant correlation with worse overall survival (OS; P=7.414e-04), disease-specific survival (DSS; P=5.642e-04), disease-free interval (DFI; P=1.785e-05) and progression-free interval (PFI; P=2.512e-06). Besides, univariate and multivariate Cox regression analysis uncovered that increased CDK5R1 can independently predict adverse OS (P=0.037, hazard ratio [HR]= 1.7 (95% CI [1.0-2.7])), DFI (P=0.007, hazard ratio [HR]= 3.0 (95% CI [1.4-6.7])), PFI (P=0.007, hazard ratio [HR]= 2.8 (95% CI [1.3-5.9])). GSEA disclosed that notch signaling pathway and non-small cell lung cancer were prominently enriched in CDK5R1 high expression phenotype. CONCLUSIONS: Increased CDK5R1 may act as a promising independent prognostic factor of poor survival in HCC.

Identification of potential bioactive compounds and mechanisms of GegenQinlian decoction on improving insulin resistance in adipose, liver, and muscle tissue by integrating system pharmacology and bioinformatics analysis.

ETHNOPHARMACOLOGICAL RELEVANCE: GegenQinlian Decoction (GQD), a classical formula in traditional Chinese medicine, is widely used in the treatment of diabetes. While studies have demonstrated that GQD is an efficacious treatment for insulin resistance (IR) in type 2 diabetes mellitus (T2DM), the potential bioactive compounds and mechanisms remain unclear. AIM OF THE STUDY: To further investigate the potential bioactive compounds, targets, and pathways of GQD on improving IR in T2DM for adipose, liver, and muscle tissue using an integrated strategy of system pharmacology and bioinformatics analysis. MATERIALS AND METHODS: We screened the candidate compounds and targets of GQD and identified IR-associated differentially expressed genes (DEGs) of adipose, liver, and muscle tissue, respectively. Then the intersecting target genes between candidate targets and DEGs were used for "GQD-compounds-targets-tissue" network construction in each type of tissue. The top 10 bioactive compounds acting on each type of tissue were intersected and consequently identified as potential bioactive compounds of GQD. Furthermore, pathway enrichment, protein-protein interaction (PPI) network construction, and hub target identification were performed based on the targets of GQD and the targets of quercetin in each type of tissue, respectively. Finally, to further confirm the role of quercetin, we intersected the hub targets of quercetin and the hub targets of GQD, and the pathways were intersected as well. RESULTS: 132 compounds and 119 potential targets of these compounds were obtained. 1,765, 3,206, and 3594 DEGs were identified between IR and insulin sensitivity (IS) tissue in adipose, liver, and muscle, respectively. There were 21, 23, 45 targets and 103, 73, 123 compounds in the "GQD-compounds-targets-tissue" network of adipose, liver, and muscle tissue, respectively. Then compounds such as quercetin, kaempferol, baicalein, wogonin, isorhamnetin, beta-sitosterol and licochalcone A, were identified as the potential bioactive compounds of GQD, and quercetin had the highest degree among the compounds. Moreover, based on the targets of GQD, hub targets like PPARG, RELA, EGFR, CASP3, VEGFA, AR, ESR1 and CCND1, and signaling pathways such as insulin signaling pathway, endocrine resistance, TNF signaling pathway, PI3K-Akt signaling pathway, AMPK signaling pathway, MAPK signaling pathway, NF-κB signaling pathway, HIF-1 signaling pathway, apoptosis, and VEGF signaling pathway, were filtered out as the underlying mechanisms of GQD on improving diabetic IR. In addition, the hub targets and pathways of quercetin coincided with most of the hub targets and pathways of GQD in each type of tissue, respectively, suggesting that quercetin may be a potential representative compound of GQD. CONCLUSIONS: Our analysis identifies the potential bioactive compounds, targets, and pathways of GQD on improving IR in T2DM for adipose, liver, and muscle tissue, which shows the characteristics of multi-compounds, multi-targets, multi-pathways, and multi-mechanisms of GQD and lays a solid foundation for further experimental research and clinical application.

Increased E2F2 predicts poor prognosis in patients with HCC based on TCGA data.

BACKGROUND: The E2F family of transcription factor 2 (E2F2) plays an important role in the development and progression of various tumors, but its association with hepatocellular carcinoma (HCC) remains unknown. Our study aimed to investigate the role and clinical significance of E2F2 in HCC. METHODS: HCC raw data were extracted from The Cancer Genome Atlas (TCGA). Wilcoxon signed-rank test, Kruskal-Wallis test and logistic regression were applied to analyze the relationship between the expression of E2F2 and clinicopathologic characteristics. Cox regression and Kaplan-Meier were employed to evaluate the correlation between clinicopathologic features and survival. The biological function of E2F2 was annotated by Gene Set Enrichment Analysis (GSEA). RESULTS: The expression of E2F2 was increased in HCC samples. The expression of elevated E2F2 in HCC samples was prominently correlated with histologic grade (OR = 2.62 for G3-4 vs. G1-2, p = 1.80E-05), clinical stage (OR = 1.74 for III-IV vs. I-II, p = 0.03), T (OR = 1.64 for T3-4 vs.T1-2, p = 0.04), tumor status (OR = 1.88 for with tumor vs. tumor free, p = 3.79E-03), plasma alpha fetoprotein (AFP) value (OR = 3.18 for AFP ≥ 400 vs AFP<20, p = 2.16E-04; OR = 2.50 for 20 ≤ AFP<400 vs AFP<20, p = 2.56E-03). Increased E2F2 had an unfavorable OS (p = 7.468e- 05), PFI (p = 3.183e- 05), DFI (p = 0.001), DSS (p = 4.172e- 05). Elevated E2F2 was independently bound up with OS (p = 0.004, hazard ratio [HR] = 2.4 (95% CI [1.3-4.2])), DFI (P = 0.029, hazard ratio [HR] = 2.0 (95% CI [1.1-3.7])) and PFI (P = 0.005, hazard ratio [HR] = 2.2 (95% CI [1.3-3.9])). GSEA disclosed that cell circle, RNA degradation, pyrimidine metabolism, base excision repair, aminoacyl tRNA biosynthesis, DNA replication, p53 signaling pathway, nucleotide excision repair, ubiquitin-mediated proteolysis, citrate cycle TCA cycle were notably enriched in E2F2 high expression phenotype. CONCLUSIONS: Elevated E2F2 can be a promising independent prognostic biomarker and therapeutic target for HCC. Additionally, cell cycle, pyrimidine metabolism, DNA replication, p53 signaling pathway, ubiquitin-mediated proteolysis, the citrate cycle TCA cycle may be the key pathway by which E2F2 participates in the initial and progression of HCC.

Identification of diagnostic and prognostic biomarkers, and candidate targeted agents for hepatitis B virus-associated early stage hepatocellular carcinoma based on RNA-sequencing data.

Primary liver cancer is a rapidly progressing neoplasm with high morbidity and mortality rates. The present study aimed to identify potential diagnostic and prognostic biomarkers, and candidate targeted agents for hepatitis B virus (HBV)-associated early stage hepatocellular carcinoma (HCC). The gene expression profiles were extracted from the Gene Expression Omnibus database. Differentially expressed genes (DEGs), hub genes and the enrichment of signaling pathways were filtered out via a high-throughput sequencing method. The association between hub genes and the effects of the abnormal expression of hub genes on the rate of genetic variation, overall survival (OS), relapse-free survival (RFS), progression-free survival (PFS) and disease-free survival (DSS) of patients with HCC, as well as pathological stage and grade, were analyzed using different databases. A total of 1,582 DEGs were identified. Gene Ontology analysis revealed that the DEGs were mainly involved in the 'oxidation-reduction process', 'steroid metabolic process', 'metabolic process' and 'fatty acid beta-oxidation'. Enrichment analysis of Kyoto Encyclopedia of Genes and Genomes pathways revealed that the DEGs were mainly associated with 'metabolic pathways', 'PPAR signaling pathway', 'fatty acid degradation' and the 'cell cycle'. A total of 8 hub genes were extracted. Additionally, the abnormal expression levels of hub genes were closely associated with the OS, RFS, PFS and DSS of patients, the pathological stage and the grade. Furthermore, abnormal expression levels of the 8 hub genes were found in >30% of all samples. Several small molecular compounds that may reverse the altered DEGs were identified based on Connectivity Map analysis, including phenoxybenzamine, GW-8510, resveratrol, 0175029-0000 and daunorubicin. In conclusion, the dysfunction of fat metabolic pathways, the cell cycle, oxidation-reduction processes and viral carcinogenesis may serve critical roles in the occurrence of HBV-associated early stage HCC. The identified 8 hub genes may act as robust biomarkers for diagnosis and prognosis. Some small molecular compounds may be promising targeted agents against HBV-associated early stage HCC.

[Discussion on Clinical and Diagnosis Program of Integrative Medicine].

Facing current situation of integrative medicine (IM), authors put forward that clinical and diagnosis program of IM could be carried out from clinical path, pathogenesis, treatment theory and philosophy, and so on, but with different integration degrees. Meanwhile, formulation of concrete program should be disease-targetedly set up, and adjusted from person to person, from place to place, from time to time. As for settled IM program , authors could evaluate it from whether Chinese medicine and Western medicine have formed complementary, synergistic, excitatory actions, and toxicity attenuation; whether more problems could be solved in efficacy, safety, practicability, and economy than previous single mode.