Comprehensive treatments for hepatocellular carcinoma with portal vein tumor thrombosis

Portal vein tumor thrombosis (PVTT) is one of the most common complications in hepatocellular carcinoma (HCC). HCC with PVTT usually indicates poor prognosis, which has a number of characteristics including a rapidly progressive disease course, worse liver function, complications connected with portal hypertension, and poorer tolerance to treatment. The exact mechanisms of PVTT remain unknown, even though some concerned signal transduction or molecular pathways have been identified. In western countries, sorafenib is the only recommended therapeutic strategy regardless of PVTT types. However, multiple treatment options including transhepatic arterial chemoembolization, hepatectomy, radiotherapy, and sorafenib available in the clinic. In this review, we enumerate and discuss therapeutics against patients with HCC having PVTT available in the clinic and put forward directions for future research.     

Therapeutic advances for patients with intermediate hepatocellular carcinoma

Hepatocellular carcinoma (HCC) is the fifth most common malignant tumor and constitutes a major health threat globally. Intermediate HCC (Barcelona Clinic Liver Cancer Staging, stage B) encompasses a wide range of patients and is characterized by substantial heterogeneity with varying tumor burdens and liver functions. Therefore, it is paramount to evaluate the patient's overall conditions and to select the most appropriate therapy based on available evidence. Transarterial chemoembolization is the recommended first-line therapy for intermediate HCC patients. However, in clinical practice, other treatment options are also used as alternative therapies, such as hepatic resection, percutaneous thermal ablation, radiotherapy (RT), systemic treatment, immunotherapy, and so forth. In this review, we will introduce current treatment strategies for intermediate HCC, discuss their advantages and disadvantages, and propose future directions.     

Therapeutics for advanced hepatocellular carcinoma: Recent advances,current dilemma,and future directions

Hepatocellular carcinoma (HCC) is one of the most common malignancies and is a serious threat to people's health worldwide. The prognosis of advanced HCC is dim if left untreated. In the clinic, the treatment options for advanced HCC include surgery, radiotherapy, transcatheter arterial chemoembolization, and so forth. In recent years, molecular targeted therapy and immunotherapy have also made great progress, bringing new hope to patients with advanced HCC. In this study, therapeutic advances, current dilemma, and future directions of advanced HCC are reviewed, which might serve as a summary for clinicians and may stimulate future research.     

Identification of core genes and outcomes in hepatocellular carcinoma by bioinformatics analysis

Hepatocellular carcinoma (HCC) is the most common malignant liver disease in the world. However, the mechanistic relationships among various genes and signaling pathways are still largely unclear. In this study, we aimed to elucidate potential core candidate genes and pathways in HCC. The expression profiles GSE14520, GSE25097, GSE29721, and GSE62232, which cover 606 tumor and 550 nontumour samples, were downloaded from the Gene Expression Omnibus (GEO) database. Furthermore, HCC RNA-seq datasets were also downloaded from the Cancer Genome Atlas (TCGA) database. The differentially expressed genes (DEGs) were filtered using R software, and we performed gene ontology (GO) and Kyoto Encyclopedia of Gene and Genome (KEGG) pathway analysis using the online databases DAVID 6.8 and KOBAS 3.0. Furthermore, the protein-protein interaction (PPI) network complex of these DEGs was constructed by Cytoscape software, the molecular complex detection (MCODE) plug-in and the online database STRING. First, a total of 173 DEGs (41 upregulated and 132 downregulated) were identified that were aberrantly expressed in both the GEO and TCGA datasets. Second, GO analysis revealed that most of the DEGs were significantly enriched in extracellular exosomes, cytosol, extracellular region, and extracellular space. Signaling pathway analysis indicated that the DEGs had common pathways in metabolism-related pathways, cell cycle, and biological oxidations. Third, 146 nodes were identified from the DEG PPI network complex, and two important modules with a high degree were detected using the MCODE plug-in. In addition, 10 core genes were identified, TOP2A, NDC80, FOXM1, HMMR, KNTC1, PTTG1, FEN1, RFC4, SMC4, and PRC1. Finally, Kaplan-Meier analysis of overall survival and correlation analysis were applied to these genes. The abovementioned findings indicate that the identified core genes and pathways in this bioinformatics analysis could significantly enrich our understanding of the development and recurrence of HCC; furthermore, these candidate genes and pathways could be therapeutic targets for HCC treatment.     

The down-regulation of GNAO1 and its promoting role in hepatocellular carcinoma

GNAO1 (guanine nucleotide-binding protein, α-activating activity polypeptide O) is a member of the subunit family of Gα proteins, which are molecular switchers controlling signal transductions and whose deregulation can promote oncogenesis. HCC (hepatocellular carcinoma) is one of the malignant tumours around the world, which summons novel biomarkers or targets for effective diagnosis and treatments. The present study was aimed to investigate the expression of GNAO1 in HCC patient tissues and the possible mechanisms by which it took effects. The expression of GNAO1 was detected by IHC (immunohistochemistry) and real-time qPCR (quantitative PCR). Cell proliferation test and cell senescence test were then performed to explore the role of GNAO1 in the occurrence and development of HCC. It was revealed that the level of GNAO1 was comparably less in HCC tissues than in the adjacent tissues. Furthermore, down-regulation of GNAO1 increased cell proliferation, while suppressing the senescence of HCC cells. In conclusion, our findings revealed and confirmed the importance of GNAO1 in HCC, indicating that GNAO1 is a potential biomarker as well as a promising therapeutic target for HCC.     

The discovery of a novel eight-mRNA-lncRNA signature predicting survival of hepatocellular carcinoma patients

Increasing evidence indicates that the expressions of messenger RNAs (mRNAs) and long non-coding RNAs (lncRNAs) undergo a frequent and aberrant change in carcinogenesis and cancer development. But some research was carried out on mRNA-lncRNA signatures for prediction of hepatocellular carcinoma (HCC) prognosis. We aimed to establish an mRNA-lncRNA signature to improve the ability to predict HCC patients’ survival. The subjects from the cancer genome atlas (TCGA) data set were randomly divided into two parts: training data set (n = 246) and testing data set (n = 124). Using computational methods, we selected eight gene signatures (five mRNAs and three lncRNAs) to generate the risk score model, which were significantly correlated with overall survival of patients with HCC in both training and testing data set. The signature had the ability to classify the patients in training data set into a high-risk group and low-risk group with significantly different overall survival (hazard ratio = 4.157, 95% confidence interval = 2.648-6.526, P < 0.001). The prognostic value was further validated in testing data set and the entire data set. Further analysis revealed that this signature was independent of tumor stage. In addition, Gene Set Enrichment Analysis suggested that high risk score group was associated with cell proliferation and division related pathways. Finally, we developed a well-performed nomogram integrating the prognostic signature and other clinical information to predict 3- and 5-year overall survival. In conclusion, the prognostic mRNAs and lncRNAs identified in our study indicate their potential role in HCC biogenesis. The risk score model based on the mRNA-lncRNA may be an efficient classification tool to evaluate the prognosis of patients’ with HCC.     

A novel seven-lncRNA signature for prognosis prediction in hepatocellular carcinoma

Liver cancer is still one of the leading causes of cancer-related death worldwide. This study is dedicated to developing a multi–long noncoding RNA (lncRNA) model for risk stratification and prognosis prediction on patients with hepatocellular carcinoma (HCC). We first downloaded lncRNA expression profiles and corresponding clinical information of patients with liver cancer from The Cancer Genome Atlas database. Differentially expressed (DE) lncRNAs between HCC samples and normal samples were identified. In total, 308 patients with HCC were randomly divided into a training group (n = 154) and a testing group (n = 154). Univariate Cox regression and least absolute shrinkage and selection operator Cox regression analyses were performed to select the best survival-related candidates from these DE lncRNAs in the training set. Seven lncRNAs (AC009005.2, RP11-363N22.3, RP11-932O9.10, RP11-572O6.1, RP11-190C22.8, RP11-388C12.8, and ZFPM2-AS1) were finally identified and used to construct a seven-lncRNA signature. The signature could classify patients into high-risk and low-risk groups with significantly different overall survival. The area under the curve of receiver operating characteristic curve for the signature to predict 5-year survival reached more than 0.75. Besides, the prognostic value of the seven-lncRNA signature was independent of conventional clinical factors. The predictive performance of the signature was further validated in the testing set and the whole set. Functional enrichment analysis indicated that the seven prognostic lncRNAs may be involved in several essential biological processes and pathways. The current study demonstrated the potential clinical implications of the seven-lncRNA signature for survival prediction of patients with HCC.     

The underlying pathophysiology association between the Type 2-diabetic and hepatocellular carcinoma

Type 2-diabetic (T2D) disease has been reported to increase the incidence of liver cancer, however, the underlying pathophysiology is still not fully understood. Here, we aimed to reveal the underlying pathophysiology association between the T2D and hepatocellular carcinoma (HCC) and, therefore, to find the possible therapeutic targets in the occurrence and development of HCC. The methylation microarray data of T2D and HCC were extracted from the Gene Expression Omnibus and The Cancer Genome Atlas. A total of 504 differentially methylated genes (DMGs) between T2D samples and the controls were identified, whereas 6269 DMGs were identified between HCC samples and the control groups. There were 336 DMGs coexisting in diabetes and HCC, among which 86 genes were comethylated genes. These genes were mostly enriched in pathways as glycosaminoglycan biosynthesis, fatty acid, and metabolic pathway as glycosaminoglycan degradation and thiamine, fructose and mannose. There were 250 DMGs that had differential methylation direction between T2D DMGs and HCC DMGs, and these genes were enriched in the Sphingolipid metabolism pathway and immune pathways through natural killer cell-mediated cytotoxicity and ak-STAT signaling pathway. Eight genes were found related to the occurrence and development of diabetes and HCC. Moreover, the result of protein-protein interaction network showed that CDKN1A gene was related to the prognosis of HCC. In summary, eight genes were found to be associated with the development of HCC and CDKN1A may serve as the potential prognostic gene for HCC.     

门静脉海绵样变大鼠门静脉氧化应激损伤的研究

目的:考察门静脉海绵样变性(CTPV,Cavernous transformation of portal vein)大鼠体内氧化应激的状态以及氧化应激对门静脉结构的影响。方法:采用门脉部分结扎法复制CTPV大鼠动物模型;通过测定门静脉内血浆超氧化物歧化酶(SOD)、谷胱甘肽过氧化物酶(GSH-Px)的活力来分析机体抗氧化能力,测定丙二醛(MDA)含量分析机体氧化能力;门静脉HE染色观察门静脉病理变化。结果:Sham组大鼠门静脉造影显示门静脉通畅,无曲张与扩张;门静脉病理学检查显示门静脉管腔无增大、内皮细胞光滑、中膜平滑肌层无增厚、外膜完整。CTPV组大鼠门静脉造影显示门静脉周围侧支循环形成,门静脉病理检查显示多个管腔大小不一、外形不规则血管腔,管腔之间为较狭窄的纤维性间隔,其内可见脂肪细胞、散在的淋巴细胞及肥大细胞等,门静脉管腔增大、血管内膜受损、内皮细胞脱落、中膜平滑肌增厚和血栓形成。与Sham组大鼠比较,CTPV组大鼠SOD、GSH-Px活性降低(93.79+8.87μU/L Vs103.05+8.07μU/L,P<0.05,157.44+26.46U/ml Vs709.09+83.21U/ml,P<0...     

Automated classification of hepatocellular carcinoma differentiation using multiphoton microscopy and deep learning

In the case of hepatocellular carcinoma (HCC) samples, classification of differentiation is crucial for determining prognosis and treatment strategy decisions. However, a label‐free and automated classification system for HCC grading has not been yet developed. Hence, in this study, we demonstrate the fusion of multiphoton microscopy and a deep‐learning algorithm for classifying HCC differentiation to produce an innovative computer‐aided diagnostic method. Convolutional neural networks based on the VGG‐16 framework were trained using 217 combined two‐photon excitation fluorescence and second‐harmonic generation images; the resulting classification accuracy of the HCC differentiation grade was over 90%. Our results suggest that a combination of multiphoton microscopy and deep learning can realize label‐free, automated methods for various tissues, diseases and other related classification problems.      

Mechanism of bioactive polysaccharide from Lachnum sp. acts synergistically with 5-fluorouracil against human hepatocellular carcinoma

The antimetabolite 5-fluorouracil (5-FU) is a widely used antitumor agent, however the overall response rate to 5-FU as a single agent is usually limited. Herein, how Lachnum expolysaccharide (LEP-2a), a type of active polysaccharide isolated from Lachnum sp., acted synergistically with 5-FU on HepG2 cells was investigated. It was found that LEP-2a notably enhanced 5-FU sensitivity in HepG2 cells in a synergistic manner. After combination treatment of 5-FU and LEP-2a, Ras/Raf/MEK/ERK and PI3K/AKT/mTOR pathway were inactivated. In addition, combination treatment induced generation of reactive oxygen species, decreased the levels of intracellular antioxidant enzymes and triggered mitochondrial apoptosis pathway. Furthermore, 5-FU combined with LEP-2a also resulted in p53 activation and NF-κB inhibition, and cell cycle arrest in the S phase as well as cell metastasis stagnation. Interestingly, LEP-2a treatment also blocked the DNA damage repair procedure. These findings demonstrate that LEP-2a enhanced 5-FU sensitivity and combination of 5-FU and LEP-2a exerts synergistic antitumor efficiency through multiple approaches.     

Uncoupling protein 2 mediates resistance to gemcitabine-induced apoptosis in hepatocellular carcinoma cell lines

Oxidative stress induction is a common effector pathway for commonly used chemotherapeutic agents like gemcitabine (GEM) in hepatocellular carcinoma (HCC) patients. However, GEM alone or in combination with oxiplatin hardly renders any survival benefits to HCC patients. Mitochondrial uncoupling protein 2 (UCP2) is known to suppress mitochondrial reactive oxygen species (ROS) generation, thus mitigating oxidative stress-induced apoptosis. We demonstrate in the present study, using a panel of HCC cell lines that sensitivity to GEM in HCC well correlate with the endogenous level of UCP2 protein expression. Moreover, ectopic overexpression of UCP2 in a HCC cell line with low endogenous UCP2 expression, HLE, significantly decreased mitochondrial superoxide induction by the anti-cancer drug GEM. Conversely, UCP2 mRNA silencing by RNA interference in HCC cell lines with high endogenous UCP2 expression significantly enhanced GEM-induced mitochondrial superoxide generation and apoptosis. Cumulatively, our results suggest a critical role for mitochondrial uncoupling in GEM resistance in HCC cell lines. Hence, synergistic targeting of UCP2 in combination with other chemotherapeutic agents might be more potent in HCC patients.     

Functional rs6265 polymorphism in the brain-derived neurotrophic factor gene confers protection against neurocognitive dysfunction in posttraumatic stress disorder among Chinese patients with hepatocellular carcinoma

Posttraumatic stress disorder (PTSD) is a psychiatric disorder that plagues trauma survivors. Evidence shows that brain-derived neurotrophic factor (BDNF) may be involved in the occurrence and development of PTSD. Here we tried to demonstrate whether BDNF gene polymorphisms are correlated with neurocognitive function following PTSD in patients with hepatocellular carcinoma (HCC). This study included 102 patients with HCC complicated with PTSD, 146 HCC patients, and 152 healthy volunteers. Initially, we evaluated the neurocognitive function of the study subjects. Next, we measured BDNF G11757C and rs6265 polymorphisms by polymerase chain reaction-restriction fragment length polymorphism. The correlation of BDNF polymorphisms and BDNF level with HCC complicated with PTSD was evaluated. The results revealed that HCC complicated with PTSD showed decreased serum BDNF level and Mini-mental state examination (MMSE) score. Serum BDNF level of HCC and HCC complicated with PTSD was positively correlated with MMSE score. GA + AA allele and A allele of rs6265 increased the risk of PTSD among patients with HCC. GA and AA genotypes of rs6265 were correlated with the decreased MMSE score of HCC complicated with PTSD. Haplotype GA of rs6265 and G11757C increased the risk of PTSD for HCC, while haplotype CG decreased this risk. Lastly, the logistic regression analysis suggested that low BDNF level was a contributor to HCC complicated with PTSD, while GG genotype of rs6265 served as a protective factor. Collectively, this study defines the GG genotype of BDNF rs6265 polymorphism as a protector to HCC complicated with PTSD. In addition, these results provided a promising target for PTSD prevention in patients with HCC.     

In-depth discovery of protein lactylation in hepatocellular carcinoma

As a prevalent cancer type, hepatocellular carcinoma (HCC) accounts for a number of tumor-related deaths worldwide. Substantial efforts from various aspects, including RNA and proteins, have been devoted to understanding the mechanisms of HCC and proposing therapeutic schemes correspondingly. Within one of the important fields in cancer research – protein post-translational modifications (PTMs), recent discoveries revealed much broader landscapes of lysine lactylation (Kla) distributed in whole human proteome. Upon realizing the relation between Kla and cancers, Hong et al. (Proteomics 2023, 23, 2200432) comprehensively profiled lactylproteome in HCC tissues for the first time. All collected and processed samples were categorized into normal liver tissues, HCC without metastasis or HCC with lung metastasis tissues. As a result, 2045 Kla modification sites from 960 proteins were identified and 1438 sites from 772 proteins were quantifiably measured. Many differentially expressed Kla-proteins emerged and meant to contribute HCC formation and metastatsis. Among them, specific Kla sites from ubiquitin specific peptidase 14 (USP14) and ATP-binding cassette family 1 (ABCF1) were respectively verified as diagnostic indicators to characterize HCC and its metastasis. This work was of great significance, and made impacts in terms of further discovery of HCC rationale, as well as diagnosis of HCC status and targeted therapies.     

Genetic and epigenetic alterations in hepatitis B virus-associated hepatocellular carcinoma

Hepatitis B virus(HBV) is a major cause of hepatocellular carcinoma(HCC). Its chronic infection can lead to chronic liver inflammation and the accumulation of genetic alterations to result in the oncogenic transformation of hepatocytes. HBV can also sensitize hepatocytes to oncogenic transformation by causing genetic and epigenetic changes of the host chromosomes. HBV DNA can insert into host chromosomes and recent large-scale whole-genome sequencing studies revealed recurrent HBV DNA integrations sites that may play important roles in the initiation of hepatocellular carcinogenesis. HBV can also cause epigenetic changes by altering the methylation status of cellular DNA, the post-translational modification of histones, and the expression of micro RNAs. These changes can also lead to the eventual hepatocellular transformation. These recent findings on the genetic and epigenetic alterations of the host chromosomes induced by HBV opened a new avenue for the development of novel diagnosis and treatments for HBV-induced HCC.