Neoadjuvant Immune Checkpoint Inhibitors in hepatocellular carcinoma: a meta-analysis and systematic review.

Background: Neoadjuvant immunotherapy has demonstrated beneficial outcomes in various cancer types; however, standardized protocols for neoadjuvant immunotherapy in hepatocellular carcinoma (HCC) are currently lacking. This systematic review and meta-analysis aims to investigate the reliability of neoadjuvant immunotherapy's efficacy and safety in the context of HCC. Methods: A systematic search was conducted across PubMed (MEDLINE), EMBASE, the Web of Science, the Cochrane Library, and conference proceedings to identify clinical trials involving resectable HCC and neoadjuvant immunotherapy. Single-arm meta-analyses were employed to compute odds ratios and 95% confidence intervals (CIs). Heterogeneity analysis, data quality assessment, and subgroup analyses based on the type of immunotherapy drugs and combination therapies were performed. This meta-analysis is registered in PROSPERO (identifier CRD42023474276). Results: This meta-analysis included 255 patients from 11 studies. Among resectable HCC patients, neoadjuvant immunotherapy exhibited an overall major pathological response (MPR) rate of 0.47 (95% CI 0.31-0.70) and a pathological complete response (pCR) rate of 0.22 (95% CI 0.14-0.36). The overall objective response rate (ORR) was 0.37 (95% CI 0.20-0.69), with a grade 3-4 treatment-related adverse event (TRAE) incidence rate of 0.35 (95% CI 0.24-0.51). Furthermore, the combined surgical resection rate was 3.08 (95% CI 1.66-5.72). Subgroup analysis shows no significant differences in the efficacy and safety of different single-agent immunotherapies; the efficacy of dual ICIs (Immune Checkpoint Inhibitors) combination therapy is superior to targeted combined immunotherapy and monotherapy, while the reverse is observed in terms of safety. Discussion: Neoadjuvant immunotherapy presents beneficial outcomes in the treatment of resectable HCC. However, large-scale, high-quality experiments are warranted in the future to provide robust data support.

Comprehensive DNA methylation profiling of COVID-19 and hepatocellular carcinoma to identify common pathogenesis and potential therapeutic targets.

BACKGROUND & AIMS: The effects of SARS-CoV-2 infection can be more complex and severe in patients with hepatocellular carcinoma (HCC) as compared to other cancers. This is due to several factors, including pre-existing conditions such as viral hepatitis and cirrhosis, which are commonly associated with HCC. METHODS: We conducted an analysis of epigenomics in SARS-CoV-2 infection and HCC patients, and identified common pathogenic mechanisms using weighted gene co-expression network analysis (WGCNA) and other analyses. Hub genes were identified and analyzed using LASSO regression. Additionally, drug candidates and their binding modes to key macromolecular targets of COVID-19 were identified using molecular docking. RESULTS: The epigenomic analysis of the relationship between SARS-CoV-2 infection and HCC patients revealed that the co-pathogenesis was closely linked to immune response, particularly T cell differentiation, regulation of T cell activation and monocyte differentiation. Further analysis indicated that CD4+ T cells and monocytes play essential roles in the immunoreaction triggered by both conditions. The expression levels of hub genes MYLK2, FAM83D, STC2, CCDC112, EPHX4 and MMP1 were strongly correlated with SARS-CoV-2 infection and the prognosis of HCC patients. In our study, mefloquine and thioridazine were identified as potential therapeutic agents for COVID-19 in combined with HCC. CONCLUSIONS: In this research, we conducted an epigenomics analysis to identify common pathogenetic processes between SARS-CoV-2 infection and HCC patients, providing new insights into the pathogenesis and treatment of HCC patients infected with SARS-CoV-2.

Molecular mechanism of Ganji Fang in the treatment of hepatocellular carcinoma based on network pharmacology, molecular docking and experimental verification technology.

Background: Hepatocellular carcinoma (HCC) is a malignant tumor harmful to human health. Ganji Fang (GJF) has good clinical efficacy in the treatment of HCC, but its mechanism is still unclear. Objective: The aim of this study was to investigate the mechanism of action of GJF in the treatment of HCC through network pharmacology, molecular docking and in vitro experiments. Methods: A series of network pharmacology methods were used to identify the potential targets and key pathways of GJF in the treatment of HCC. Then, molecular docking technology was used to explore the binding ability of key active ingredients and targets in GJF. Multiple external databases were used to validate the key targets. In in vitro experiments, we performed MTT assays, wound-healing assays, cell cycle assays, apoptosis assays and RT‒qPCR to verify the inhibitory effect of GJF on the Human hepatoma G2 (HepG2) cells. Result: A total of 162 bioactive components and 826 protein targets of GJF were screened, and 611 potential targets of HCC were identified. Finally, 63 possible targets of GJF acting on HCC were obtained. KEGG enrichment analyses showed that the top five pathways were the cell cycle, cellular senescence, p53 signaling pathway, PI3K/Akt signaling pathway, and progesterone-mediated oocyte maturation. Among them, we verified the PI3K/Akt signaling pathway. CCNE1, PKN1, CCND2, CDK4, EPHA2, FGFR3, CDK6, CDK2 and HSP90AAI were enriched in the PI3K/Akt pathway. The molecular docking results showed that the docking scores of eight active components of GJF with the two targets were all less than -5.0, indicating that they had certain binding activity. In vitro cell experiments showed that GJF could inhibit the proliferation and migration of HepG2 cells, block the cell cycle and induce apoptosis of HepG2 cells, which may be related to the PI3K/Akt signaling pathway. In summary, EPHA2 may be an important target of GJF in HCC, and pachymic acid may be an important critical active compound of GJF that exerts anticancer activity. Conclusion: In general, we demonstrated, for the first time, that the molecular mechanism of GJF in HCC may involve induction of G0/G1 phase cycle arrest through inhibition of the PI3K/Akt signaling pathway and promote apoptosis of hepatoma cell lines. This study provides a scientific basis for the subsequent clinical application of GJF and the in-depth study of its mechanism.

Comprehensive analysis of ESR1-related ceRNA axis as a novel prognostic biomarker in hepatocellular carcinoma.

Aims: To further understand, detect and treat hepatocellular carcinoma (HCC), it is urgent to conduct more in-depth research on the mechanism of sex-associated differences. Materials & methods: We established a ceRNA triple regulatory axis associated with ESR1 in HCC and performed expression, survival and nuclear-cytoplasmic localization analyses. In addition to this, we performed methylation analysis and immune infiltration analysis of the ceRNA axis. Results: We constructed the LINC01018/hsa-miR-197-3p/GNA14 (lncRNA/miRNA/mRNA) ceRNA axis to further explain the mechanism of sex-related prognosis in the development of HCC and to provide new insights into candidate biomarkers for targeted therapies. Conclusion: Our study is an innovative attempt at demonstrating the mechanism underlying the prognosis associated with sex differences in HCC by constructing a ceRNA axis (LINC01018/hsa-miR-197-3p/GNA14).

Global analysis of DNA methylation in hepatocellular carcinoma via a whole-genome bisulfite sequencing approach.

Alterations in DNA methylation patterns are considered early events in hepatocellular carcinoma (HCC). However, their mechanism and significance remain to be elucidated. We studied the genome-wide DNA methylation landscape of HCC by applying whole-genome bisulfite sequencing (WGBS) techonlogy. Overall, HCC exhibits a genome-wide hypomethylation pattern. After further annotation, we obtained 590 differentially hypermethylated genes (hyper-DMGs) and 977 differentially hypomethylated genes (hypo-DMGs) from three groups. Hyper-DMGs were mainly involved in ascorbate and alternate metabolism pathways, while hypo-DMGs were mainly involved in focal adhesion. By integrating the DMGs with HCC-related differentially expressed genes (DEGs) and DMGs from the TCGA database, we constructed prognostic model based on thirteen aberrantly methylated DEGs, and verified our prognostic model in GSE14520 dataset. This study compares the patterns of global epigenomic DNA methylation during the development of HCC, focusing on the role of DNA methylation in the early occurrence and development of HCC, providing a direction for future research on its epigenetic mechanism.

A prognostic model based on seven immune-related genes predicts the overall survival of patients with hepatocellular carcinoma.

BACKGROUND: Hepatocellular carcinoma (HCC) is a disease with a high incidence and a poor prognosis. Growing amounts of evidence have shown that the immune system plays a critical role in the biological processes of HCC such as progression, recurrence, and metastasis, and some have discussed using it as a weapon against a variety of cancers. However, the impact of immune-related genes (IRGs) on the prognosis of HCC remains unclear. METHODS: Based on The Cancer Gene Atlas (TCGA) and Immunology Database and Analysis Portal (ImmPort) datasets, we integrated the ribonucleic acid (RNA) sequencing profiles of 424 HCC patients with IRGs to calculate immune-related differentially expressed genes (DEGs). Survival analysis was used to establish a prognostic model of survival- and immune-related DEGs. Based on genomic and clinicopathological data, we constructed a nomogram to predict the prognosis of HCC patients. Gene set enrichment analysis further clarified the signalling pathways of the high-risk and low-risk groups constructed based on the IRGs in HCC. Next, we evaluated the correlation between the risk score and the infiltration of immune cells, and finally, we validated the prognostic performance of this model in the GSE14520 dataset. RESULTS: A total of 100 immune-related DEGs were significantly associated with the clinical outcomes of patients with HCC. We performed univariate and multivariate least absolute shrinkage and selection operator (Lasso) regression analyses on these genes to construct a prognostic model of seven IRGs (Fatty Acid Binding Protein 6 (FABP6), Microtubule-Associated Protein Tau (MAPT), Baculoviral IAP Repeat Containing 5 (BIRC5), Plexin-A1 (PLXNA1), Secreted Phosphoprotein 1 (SPP1), Stanniocalcin 2 (STC2) and Chondroitin Sulfate Proteoglycan 5 (CSPG5)), which showed better prognostic performance than the tumour/node/metastasis (TNM) staging system. Moreover, we constructed a regulatory network related to transcription factors (TFs) that further unravelled the regulatory mechanisms of these genes. According to the median value of the risk score, the entire TCGA cohort was divided into high-risk and low-risk groups, and the low-risk group had a better overall survival (OS) rate. To predict the OS rate of HCC, we established a gene- and clinical factor-related nomogram. The receiver operating characteristic (ROC) curve, concordance index (C-index) and calibration curve showed that this model had moderate accuracy. The correlation analysis between the risk score and the infiltration of six common types of immune cells showed that the model could reflect the state of the immune microenvironment in HCC tumours. CONCLUSION: Our IRG prognostic model was shown to have value in the monitoring, treatment, and prognostic assessment of HCC patients and could be used as a survival prediction tool in the near future.

A network meta-analysis: The best Yiqi Fuzheng Chinese herbal injections for use based on the NP regimen to treat NSCLC.

BACKGROUND: Chinese herbal injections (CHIs) have been proven beneficial to patients with non-small cell lung cancer (NSCLC) in combination with chemotherapy. The network meta-analysis (NMA) was designed to update and expand on previous work to better evaluate the effectiveness and safety of different Yiqi Fuzheng (YQFZ) CHIs combined with the Vinorelbine plus cisplatin (NP) regimen versus NP alone for NSCLC. METHODS: We searched multiple electronic databases and identified randomized controlled trials (RCTs) concerning different YQFZ CHIs combined with the NP regimen for treating NSCLC up to March 1st, 2019. The outcomes are the objective response rate, performance status and adverse reactions (ADRs). Two individuals accomplished the quality assessment of this NMA based on the Cochrane risk of bias tool and the methodological section of the CONSORT statement. Random effects models were generated to estimate efficacy and safety outcomes. Odds ratios and corresponding 95% confidence intervals were calculated via Stata 14 software. Furthermore, the rankings for the efficacy and safety of different YQFZ CHIs for each outcome were determined by the surface under the cumulative ranking curve (SUCRA). RESULTS: Initially, a total of 4775 citations were retrieved through comprehensive searching, and 88 eligible articles involving 6695 participants and 8 CHIs were ultimately included. The cluster analysis results of the current evidence indicated that the NP regimen combined with Delisheng, Shenfu and Shenmai injections have a higher clinical effectiveness rate and better performance status compared with the NP regimen alone. Additionally, the NP regimen combined with Shenqifuzheng, Shengmai and Shenfu injections may be considered a favorable choice for reliving ADRs among patients with NSCLC. CONCLUSIONS: The current evidence demonstrated that the combination of Shenfu injection plus NP regimen could produce better outcomes than other YQFZ CHIs groups in terms of efficacy and safety. However, meticulously designed, strictly executed, high-quality trials are still required to further assess and confirm the results due to the inadequacy of the included RCTs.

The Prognostic Value of Autophagy-Related Markers Bclin-1 and LC-3 in Colorectal Cancers: A Systematic Review and Meta-analysis.

OBJECTIVE: At present, the relationship between autophagosomes and the prognosis of various cancers has become a subject of active investigation. A series of studies have demonstrated the correlation between autophagy microtubule-associated protein light chain 3 (LC-3), Beclin-1, and colorectal cancer (CRC). Since autophagy has dual regulatory roles in tumors, the results of this correlation are also uncertain. Hence, we summarized the relationship between Beclin-1, LC-3, and CRC using systematic reviews and meta-analysis to clarify their prognostic significance in it. METHODS: PubMed, EMBASE, Cochrane Library, and Web of Science databases were searched online up to April 1, 2019. The quality of the involving studies was assessed against the Newcastle-Ottawa Scale (NOS). Pooled hazard ratio (HR) and 95% confidence interval (CI) in a fixed or random effects model were used to assess the strength of correlation between Beclin-1, LC-3, and CRC. RESULTS: A total of 9 articles were collected, involving 2,297 patients. Most literatures scored more than 6 points, suggesting that the quality of our including research was acceptable. Our finding suggested that the expression of Beclin-1 was not associated with overall survival (HR = 0.68, 95% CI (0.31-1.52), P=0.351). Nonetheless, LC-3 expression exerted significant impact on OS (HR = 0.51, 95% CI (0.35-0.74), P < 0.05). Subgroup analysis exhibited that Beclin-1 expression was associated with OS at TNM stage III (HR = 0.04, 95% CI = 0.02-0.08, P < 0.05), surgical treatment (HR = 1.53, 95% CI (1.15-2.02), P=0.003), and comprehensive treatment (HR = 0.27 95% CI (0.08-0.92), P=0.036), respectively. Similarly, the results showed the increased LC-3 expression in CRC was related to OS in multivariate analyses (HR = 0.44, 95% CI (0.34-0.57), P < 0.05), stages (HR = 0.51, 95% CI (0.35-0.74), P < 0.05), and comprehensive treatment (HR = 0.44, 95% CI (0.34-0.57), P < 0.05). CONCLUSIONS: Autophagy-related proteins of LC-3 might be an important marker of CRC progression. However, since the number of the original studies was limited, more well-designed, large-scale, high-quality studies are warranted to provide more convincing and reliable information.

Incidence and survival trends for appendiceal mucinous adenocarcinoma: an analysis of 3237 patients in the Surveillance, Epidemiology, and End Results database.

Aim: To characterize the epidemiology of appendiceal mucinous adenocarcinoma. Methods: Prognostic factors were evaluated with univariate and multivariate analyses. The results were used to generate a nomogram. Results: The incidence of appendiceal mucinous adenocarcinoma showed a significant upward trend. Multivariate Cox analysis identified 11 independent prognostic factors. The nomogram was based on independent risk factors that were significant in multivariate Cox analysis, and the concordance-index for overall survival and cancer-specific survival were 0.76 (95% CI: 0.71-0.79) and 0.74 (95% CI: 0.70-0.79), respectively. Conclusion: Advanced age, single relationship status, male sex, black race, the presence of distant and regional lymph node metastases, poor differentiation or lack of differentiation, advanced SEER extent of disease, cancer-directed surgery and chemotherapy were independently associated with prognosis.

Anticancer Effects of Emodin on HepG2 Cell: Evidence from Bioinformatic Analysis.

Hepatocellular carcinoma (HCC) is a primary cause of cancer-related death in the world. Despite the fact that there are many methods to treat HCC, the 5-year survival rate of HCC is still at a low level. Emodin can inhibit the growth of HCC cells in vitro and in vivo. However, the gene regulation of emodin in HCC has not been well studied. In our research, RNA sequencing technology was used to identify the differentially expressed genes (DEGs) in HepG2 cells induced by emodin. A total of 859 DEGs were identified, including 712 downregulated genes and 147 upregulated genes in HepG2 cells treated with emodin. We used DAVID for function and pathway enrichment analysis. The protein-protein interaction (PPI) network was constructed using STRING, and Cytoscape was used for module analysis. The enriched functions and pathways of the DEGs include positive regulation of apoptotic process, structural molecule activity and lipopolysaccharide binding, protein digestion and absorption, ECM-receptor interaction, complement and coagulation cascades, and MAPK signaling pathway. 25 hub genes were identified and pathway analysis revealed that these genes were mainly enriched in neuropeptide signaling pathway, inflammatory response, and positive regulation of cytosolic calcium ion concentration. Survival analysis showed that LPAR6, C5, SSTR5, GPR68, and P2RY4 may be involved in the molecular mechanisms of emodin therapy for HCC. A quantitative real-time PCR (qRT-PCR) assay showed that the mRNA levels of LPAR6, C5, SSTR5, GPR68, and P2RY4 were significantly decreased in HepG2 cells treated with emodin. In conclusion, the identified DEGs and hub genes in the present study provide new clues for further researches on the molecular mechanisms of emodin.

Chaperone-mediated autophagy substrate proteins in cancer.

All intracellular proteins undergo continuous synthesis and degradation. Chaperone-mediated autophagy (CMA) is necessary to maintain cellular homeostasis through turnover of cytosolic proteins (substrate proteins). This degradation involves a series of substrate proteins including both cancer promoters and suppressors. Since activating or inhibiting CMA pathway to treat cancer is still debated, targeting to the CMA substrate proteins provides a novel direction. We summarize the cancer-associated substrate proteins which are degraded by CMA. Consequently, CMA substrate proteins catalyze the glycolysis which contributes to the Warburg effect in cancer cells. The fact that the degradation of substrate proteins based on the CMA can be altered by posttranslational modifications such as phosphorylation or acetylation. In conclusion, targeting to CMA substrate proteins develops into a new anticancer therapeutic approach.

Glivec enhances the down-regulated cytotoxicity of adriamycin in acquired tamoxifen-resistant MCF-7 cell line.

OBJECTIVE: To study the alteration of bax, bcl-2, p170 expressing and the second effect on the adriamycin (ADR) induced cytotoxicity in acquired tamoxifen (TAM)-resistant MCF-7 cell line. METHODS: The bax, bcl-2, p170 protein expressions were detected by flow cytometry respectively, as well as the content of intracellular ADR. The in vitro adenosine triphosphate tumor chemosensitivity assay (ATP-TCA) was performed to evaluate the cytotoxicity of ADR, and also the effect of Glivec on the cytotoxicity of ADR. RESULTS: The percentages of bax, bcl-2 expressions in the acquired TAM resistant MCF-7 were down-regulated from 53.17+/-1.45% to 28.70+/-1.41% (P <0.01), 41.53+/-2.17% to 37.87+/-1.86% P >0.05 respectively, the p170 was up-regulated from 27.43+/-2.16% to 32.13+/-1.31% (P <0.05), after a 16-week-treatment with 1 x 10(-7) mol/L TAM. Accordingly, the chemosensitivity and the fluorescence intensity of intracellular ADR declined, both of them can be significantly reversed by 10 microg/ml Glivec. CONCLUSION: The acquired TAM resistant MCF-7 accompanied with a declined ADR cytotoxicity, down-regulation of bcl-2/bax-induced apoptosis and up-regulation of p170-induced drug efflux may had a synergic devotion. Glivec may enhance the cytotoxicity of ADR on the acquired TAM-resistant MCF-7 cell line.

[Effects of lipofectin-mediated alpha1,4Gal T antisense oligonucleotide on human glioma cell line SWO-38].

OBJECTIVE: To study the effects of alpha1,4Gal T antisense oligonucleotide mediated by lipofectin on human glioma cell line SWO-38. METHODS: SWO38 glioma cells were exposed to 10 micromol/L alpha1,4Gal T antisense oligonucleotide for 72 h by means of lipofectin transfection, and the growth inhibition of the cells was detected by colony-forming unit assay. Analysis of DNA fragmentation was performed with flow cytometry (FCM) and agarose gel eletrophoresis with Fas protein expression determined by FCM. RESULTS: alpha1,4Gal T antisense oligonucleotide significantly inhibited the growth of glioma cells (P<0.01) and induced apoptosis in SWO-38 cells (P<0.05). Marked up-regulation of Fas protein expression was observed in response to the treatment (P<0.01). CONCLUSION: alpha1,4Gal T antisense oligonucleotide can significantly inhibit SWO-38 cell proliferation and induce cellular apoptosis, the mechanism of which may involve up-regulated Fas expression.

[Molecular mechanism of antisense glycosyltransferase oligonucleotide inhibiting human gliomas cell line SWO-38].

BACKGROUND & OBJECTIVE: It was reported that Globo series glycoshingolipids have relationship to many human cancers, and alpha 1, 4-galactosyltransferase(alpha 1, 4Gal-T) oligonucleotide is the specific glycosyltransferase for the synthesis of Globo series glycoshingolipids. This study was designed to evaluate the effects of antisense alpha 1, 4Gal-T oligonucleotide on human gliomas cell line SWO-38. MATERIALS & METHODS: SWO-38 glioma cells were reacted with 10 mumol/L antisense alpha 1, 4Gal-T oligonucleotide for 72 hours by means of lipofectin transfection. The growth inhibition was detected by colony-forming unit assay. DNA fragmentation was examined by flow cytometric analysis(FCM) and agarose gel eletrophoresis. The expressions of fas, p53, bax, and bcl-2 protein were determined by flow cytometric analysis (FCM). RESULTS: Antisense alpha 1, 4Gal-T oligonucleotide signifantly inhibited cell growth (P < 0.01), induced the apoptosis (P < 0.05), downregulated expression of bcl-2 protein (P < 0.01) and upregulated expressions of fas and bax protein (P < 0.01), but did not influence p53 expression in glioma cell line SWO-38. CONCLUSIONS: Antisense alpha 1, 4Gal-T oligonucleotide can significantly inhibit proliferation and induce apoptosis in human gliomas cell line SWO-38, which maybe due to the interactions of fas, bax, and bcl-2.