Telomerase-related advances in hepatocellular carcinoma:A bibliometric and visual analysis

BACKGROUND As a critical early event in hepatocellular carcinogenesis,telomerase activation might be a promising and critical biomarker for hepatocellular carcinoma(HCC)patients,and its function in the genesis and treatment of HCC has gained much attention over the past two decades.AIM To perform a bibliometric analysis to systematically assess the current state of research on HCC-related telomerase.METHODS The Web of Science Core Collection and PubMed were systematically searched to retrieve publications pertaining to HCC/telomerase limited to“articles”and“reviews”published in English.A total of 873 relevant publications related to HCC and telomerase were identified.We employed the Bibliometrix package in R to extract and analyze the fundamental information of the publications,such as the trends in the publications,citation counts,most prolific or influential writers,and most popular journals;to screen for keywords occurring at high frequency;and to draw collaboration and cluster analysis charts on the basis of coauthorship and co-occurrences.VOSviewer was utilized to compile and visualize the bibliometric data.RESULTS A surge of 51 publications on HCC/telomerase research occurred in 2016,the most productive year from 1996 to 2023,accompanied by the peak citation count recorded in 2016.Up to December 2023,35226 citations were made to all publications,an average of 46.6 citations to each paper.The United States received the most citations(n=13531),followed by China(n=7427)and Japan(n=5754).In terms of national cooperation,China presented the highest centrality,its strongest bonds being to the United States and Japan.Among the 20 academic institutions with the most publications,ten came from China and the rest of Asia,though the University of Paris Cité,Public Assistance-Hospitals of Paris,and the National Institute of Health and Medical Research(INSERM)were the most prolific.As for individual contributions,Hisatomi H,Kaneko S,and Ide T were the three most prolific authors.Kaneko S ranked first by H-index,G-index,and overall publication count,while Zucman-Rossi J ranked first in citation count.The five most popular journals were the World Journal of Gastroenterology,Hepatology,Journal of Hepatology,Oncotarget,and Oncogene,while Nature Genetics,Hepatology,and Nature Reviews Disease Primers had the most citations.We extracted 2293 keywords from the publications,120 of which appeared more than ten times.The most frequent were HCC,telomerase and human telomerase reverse transcriptase(hTERT).Keywords such as mutational landscape,TERT promoter mutations,landscape,risk,and prognosis were among the most common issues in this field in the last three years and may be topics for research in the coming years.CONCLUSION Our bibliometric analysis provides a comprehensive overview of HCC/telomerase research and insights into promising upcoming research.

Computed tomography-based radiomics predicts the fibroblastrelated gene EZH2 expression level and survival of hepatocellular carcinoma

BACKGROUND Hepatocellular carcinoma(HCC)is the most common subtype of liver cancer.The primary treatment strategies for HCC currently include liver transplantation and surgical resection.However,these methods often yield unsatisfactory outcomes,leading to a poor prognosis for many patients.This underscores the urgent need to identify and evaluate novel therapeutic targets that can improve the prognosis and survival rate of HCC patients.AIM To construct a radiomics model that can accurately predict the EZH2 expression in HCC.METHODS Gene expression,clinical parameters,HCC-related radiomics,and fibroblastrelated genes were acquired from public databases.A gene model was developed,and its clinical efficacy was assessed statistically.Drug sensitivity analysis was conducted with identified hub genes.Radiomics features were extracted and machine learning algorithms were employed to generate a radiomics model related to the hub genes.A nomogram was used to illustrate the prognostic significance of the computed Radscore and the hub genes in the context of HCC patient outcomes.RESULTS EZH2 and NRAS were independent predictors for prognosis of HCC and were utilized to construct a predictive gene model.This model demonstrated robust performance in diagnosing HCC and predicted an unfavorable prognosis.A negative correlation was observed between EZH2 expression and drug sensitivity.Elevated EZH2 expression was linked to poorer prognosis,and its diagnostic value in HCC surpassed that of the risk model.A radiomics model,developed using a logistic algorithm,also showed superior efficiency in predicting EZH2 expression.The Radscore was higher in the group with high EZH2 expression.A nomogram was constructed to visually demonstrate the significant roles of the radiomics model and EZH2 expression in predicting the overall survival of HCC patients.CONCLUSION EZH2 plays significant roles in diagnosing HCC and therapeutic efficacy.A radiomics model,developed using a logistic algorithm,efficiently predicted EZH2 expression and exhibited strong correlation with HCC prognosis.

Albumin–bilirubin grade as a predictor of survival in hepatocellular carcinoma patients with thrombocytopenia

BACKGROUND The models for assessing liver function,mainly the Child–Pugh(CP),albuminbilirubin(ALBI),and platelet–ALBI(PALBI)classifications,have been validated for use in estimating the prognosis of hepatocellular carcinoma(HCC)patients.However,thrombocytopenia is a common finding and may influence the prognostic value of the three models in HCC.AIM To investigate and compare the prognostic performance of the above three models in thrombocytopenic HCC patients.METHODS A total of 135 patients with thrombocytopenic HCC who underwent radical surgery were retrospectively analyzed.Preoperative scores on the CP,ALBI and PALBI classifications were estimated accordingly.Kaplan–Meier curves with logrank tests and Cox regression models were used to explore the significant factors associated with overall survival(OS)and recurrence-free survival(RFS).RESULTS The preoperative platelet counts were significantly different among the CP,ALBI and PALBI groups.After a median follow-up of 28 mo,39.3%(53/135)of the patients experienced postoperative recurrence,and 36.3%(49/135)died.Univariate analysis suggested thatα-fetoprotein levels,tumor size,vascular invasion,and ALBI grade were significant predictors of OS and RFS.According to the multivariate Cox regression model,ALBI was identified as an independent prognostic factor.However,CP and PALBI grades were not statistically significant prognostic indicators.CONCLUSION The ALBI grade,rather than CP or PALBI grade,is a significant prognostic indicator for thrombocytopenic HCC patients.

Silencing of peroxiredoxin 2 suppresses proliferation and Wnt/β-catenin pathway,and induces senescence in hepatocellular carcinoma

Hepatocellular carcinoma(HCC),a common malignancy worldwide,still lacks effective clinical treatment.The study aimed to investigate the oncogenes that affect the progression of HCC and their possible mechanisms.In our study,we initially confirmed a higher level of PRDX2 in the bile of HCC patients compared to those with choledocholithiasis by 2-DE,LC-MS,and ELISA.Subsequently,we demonstrated the high expression of peroxiredoxin 2(PRDX2)in HCC based on the TCGA database and clinical sample analysis.Furthermore,PRDX2 overexpression enhanced the viability of HCC cells.And PRDX2 silencing induced senescence of HCC cells.In vivo,knockdown of PRDX2 significantly reduced the weight of xenograft tumors.PRDX2 also was found to activate the Wnt/β-catenin pathway by inducingβ-catenin nuclear translocation.Consequently,we proved that silencing PRDX2 could inhibit proliferation and Wnt/β-catenin pathway while promoting senescence in HCC cells.

Non-anatomical liver resection for hepatocellular carcinoma:the SegSubTe classification to overcome the problem of heterogeneity

Background:The superiority of anatomical resection(AR)vs.non-anatomical resection(NAR)in the surgical management of hepatocellular carcinoma(HCC)is debated.ARs are well-defined procedures,whereas the lack of NAR standardization results in heterogeneous outcomes.This study aimed to introduce the SegSubTe classification for NAR detailing the appropriateness of the level of surgical section of the Glissonean pedicles feeding the tumor.Methods:A single-center retrospective analysis of pre-and postoperative imaging of consecutive patients treated with NAR for single HCC between 2012 and 2020 was conducted.The quality of surgery was assessed classifying the type of vascular supply and the level of surgical section(segmental,subsegmental or terminal next to the tumor)of vascular pedicles feeding the HCCs;then,the population was divided in“SegSubTe-IN”or“SegSubTe-OUT”groups,and the tumor recurrence and survival were analyzed.Results:Ninety-seven patients who underwent NAR were included;76%were SegSubTe-IN and 24%were SegSubTe-OUT.Total disease recurrence,local recurrence and cut-edge recurrence in the SegSubTe-IN vs.SegSubTe-OUT groups were 50%vs.83%(P=0.006),20%vs.52%(P=0.003)and 16%vs.39%(P=0.020),respectively.SegSubTe-OUT odds ratio for local recurrence was 4.1 at univariate regression analysis.One-,three-,and five-year disease-free survival rates in the SegSubTe-IN vs.SegSubTe-OUT groups were 81%,58%and 35%vs.46%,21%and 11%,respectively(P<0.001).Conclusions:The SegSubTe classification is a useful tool to stratify and standardize NAR for HCC,aiming at improving long-term oncological outcomes and reducing the heterogeneity of quality of NAR for HCC.

Aspirin suppresses hepatocellular carcinoma progression by inhibiting platelet activity

BACKGROUND Hepatocellular carcinoma(HCC)is the most common malignant liver disease in the world.Platelets(PLTs)are known to play a key role in the maintenance of liver homeostasis and the pathophysiological processes of a variety of liver diseases.Aspirin is the most classic antiplatelet agent.However,the molecular mechanism of platelet action and whether aspirin can affect HCC progression by inhibiting platelet activity need further study.AIM To explore the impact of the antiplatelet effect of aspirin on the development of HCC.METHODS Platelet-rich plasma,platelet plasma,pure platelet,and platelet lysate were prepared,and a coculture model of PLTs and HCC cells was established.CCK-8 analysis,apoptosis analysis,Transwell analysis,and real-time polymerase chain reaction(RT-PCR)were used to analyze the effects of PLTs on the growth,metastasis,and inflammatory microenvironment of HCC.RT-PCR and Western blot were used to detect the effects of platelet activation on tumor-related signaling pathways.Aspirin was used to block the activation and aggregation of PLTs both in vitro and in vivo,and the effect of PLTs on the progression of HCC RESULTS PLTs significantly promoted the growth,invasion,epithelial-mesenchymal transition,and formation of an inflammatory microenvironment in HCC cells.Activated PLTs promoted HCC progression by activating the mitogenactivated protein kinase/protein kinase B/signal transducer and activator of transcription three(MAPK/AKT/STAT3)signaling axis.Additionally,aspirin inhibited HCC progression in vitro and in vivo by inhibiting platelet activation.CONCLUSION PLTs play an important role in the pathogenesis of HCC,and aspirin can affect HCC progression by inhibiting platelet activity.These results suggest that antiplatelet therapy has promising application prospects in the treatment and combined treatment of HCC.

miR-557 suppresses hepatocellular carcinoma cell proliferation and migration via downregulating CBX4

Introduction:Hepatocellular carcinoma(HCC),a prevalent malignancy,poses significant challenges with high tumor heterogeneity and poor prognosis.MicroRNAs(miRNAs)play a pivotal role in hepatocarcinogenesis.Although abnormalities in microRNA-557(miR-557)expression have been implicated in various cancer types,its role in HCC remains unclear.Therefore,there is a need to explore the function of microRNA-557 in HCC.Methods:Candidate miRNAs were identified through screening in GSE108724 and GSE20077.Real-time PCR was employed to analyze the expression level of miR-557 in hepatoma cell lines and tissues.Cell viability and migration assays were applied to assess the impact of miR-557 on HCC cell lines.Furthermore,the miR-557 target was predicted through three algorithms(Targetscan,miRWalk,and miRanda),and this was confirmed through luciferase assay and Western blotting.Results:In this study,miR-557 was identified in two datasets and expressed at a low level in both hepatoma cell lines and tissues.Notably,high expression of miR-557 in HCC cells inhibited oncogenesis.Conversely,low expression of miR-557 enhanced tumor proliferation and migration.Polycomb chromobox 4(CBX4)was identified as a direct target of miR-557.Silencing CBX4 influenced the functional impact of miR-557 on HCC cell migration.Conclusion:Taken together,our study contributed to elucidating the hepatoma molecular heterogeneity and provided novel insights into miR-557 role and its target CBX4 in HCC,suggesting its potential as a future effectively druggable target for HCC intervention.

Options and survival benefits of conversion therapy for unresectable hepatocellular carcinoma

In the study by Wu et al,patients with unresectable hepatocellular carcinoma were subjected to transarterial chemoembolization(TACE)as a conversion therapy in order to render their tumors suitable for resection.A nomogram was devised and shown to be effective in predicting the survival of these patients.Generalization of the results,however,is questionable since the study subjects consisted of patients who had resection after TACE while excluding patients with the same disease but not suitable for TACE.Immunotherapy can be considered to be an option for conversion therapy.However,markers for determining responses to a conversion therapy and for guiding the decision between TACE and sequential immunotherapy have been lacking.The question of whether effective conversion therapy can truly enhance overall survival remains unanswered.

Nomogram model based onγ-glutamyl transferase to albumin ratio predicts survival in hepatocellular carcinoma patients with transarterial chemoembolization treatment

BACKGROUND The development of tumor is closely linked to inflammation.Therefore,targeting molecules involved in inflammation may be effective in predicting cancer prognosis.Transarterial chemoembolization(TACE)holds significant therapeutic significance in addressing hepatocellular carcinoma(HCC).At present,no studies have evaluated the predictive value ofγ-glutamyl transferase to albumin ratio(GAR)on the prognosis of HCC undergoing TACE.AIM To explore the potential prognostic significance of the GAR in individuals undergoing TACE for HCC.METHODS A total of 1231 patients from seven hospitals in China were randomized into a training cohort(n=862)and a validation cohort(n=369).To establish inde pendent prognostic factors for overall survival(OS),we utilized multivariate and univariate Cox regression models.The best cut-off value of the GAR was determined with the X-tile software,with OS as the basis.Validations were performed using dual therapy cohort and triple therapy cohort.RESULTS X-tile software revealed a GAR threshold of 4.75 as optimal.Both pre-and post-propensity score matching analyses demonstrated that the median OS in the low-GAR group(<4.75)was notably longer compared to the high-GAR group(≥4.75),showing results of 26.9 vs 9.8 months(P<0.001)initially,and 18.1 vs 11.3 months(P<0.001)after match.Furthermore,multivariate analysis identified GAR≥4.75 as an independent prognostic factor(P<0.001).The receiver operating characteristic curves for the nomogram showed area under receiver operating characteristic curves of 0.741,0.747,and 0.708 for predicting 1-,2-,and 3-year survival,respectively.Consistent findings were reiterated in the two cohorts involving TACE in combination with targeted therapy and TACE in combination with targeted therapy and immunotherapy.Calibration curve and decision curve analyses substantiated the model’s relatively robust predictive capabilities.CONCLUSION Our study validates the effective prognostic capacity of the GAR-based nomogram for HCC patients undergoing TACE or TACE in combination with systemic therapy.

Retrospective Analysis of Radiofrequency Ablation in Patients with Small Solitary Hepatocellular Carcinoma:Survival Outcomes and Development of a Machine Learning Prognostic Model

Background and Objective The effectiveness of radiofrequency ablation(RFA)in improving long-term survival outcomes for patients with a solitary hepatocellular carcinoma(HCC)measuring 5 cm or less remains uncertain.This study was designed to elucidate the impact of RFA therapy on the survival outcomes of these patients and to construct a prognostic model for patients following RFA.Methods This study was performed using the Surveillance,Epidemiology,and End Results(SEER)database from 2004 to 2017,focusing on patients diagnosed with a solitary HCC lesion≤5 cm in size.We compared the overall survival(OS)and cancer-specific survival(CSS)rates of these patients with those of patients who received hepatectomy,radiotherapy,or chemotherapy or who were part of a blank control group.To enhance the reliability of our findings,we employed stabilized inverse probability treatment weighting(sIPTW)and stratified analyses.Additionally,we conducted a Cox regression analysis to identify prognostic factors.XGBoost models were developed to predict 1-,3-,and 5-year CSS.The XGBoost models were evaluated via receiver operating characteristic(ROC)curves,calibration plots,decision curve analysis(DCA)curves and so on.Results Regardless of whether the data were unadjusted or adjusted for the use of sIPTWs,the 5-year OS(46.7%)and CSS(58.9%)rates were greater in the RFA group than in the radiotherapy(27.1%/35.8%),chemotherapy(32.9%/43.7%),and blank control(18.6%/30.7%)groups,but these rates were lower than those in the hepatectomy group(69.4%/78.9%).Stratified analysis based on age and cirrhosis status revealed that RFA and hepatectomy yielded similar OS and CSS outcomes for patients with cirrhosis aged over 65 years.Age,race,marital status,grade,cirrhosis status,tumor size,and AFP level were selected to construct the XGBoost models based on the training cohort.The areas under the curve(AUCs)for 1,3,and 5 years in the validation cohort were 0.88,0.81,and 0.79,respectively.Calibration plots further demonstrated the consistency between the predicted and actual values in both the training and validation cohorts.Conclusion RFA can improve the survival of patients diagnosed with a solitary HCC lesion≤5 cm.In certain clinical scenarios,RFA achieves survival outcomes comparable to those of hepatectomy.The XGBoost models developed in this study performed admirably in predicting the CSS of patients with solitary HCC tumors smaller than 5 cm following RFA.

Comprehensive analysis of the protein phosphatase 2A regulatory subunit B56ε in pan-cancer and its role and mechanism in hepatocellular carcinoma

BACKGROUND B56εis a regulatory subunit of the serine/threonine protein phosphatase 2A,which is abnormally expressed in tumors and regulates various tumor cell functions.At present,the application of B56εin pan-cancer lacks a comprehensive analysis,and its role and mechanism in hepatocellular carcinoma(HCC)are still unclear.The Cancer Genome Atlas,Genotype-Tissue Expression,Gene Expression Profiling Interactive Analysis,and Tumor Immune Estimation Resource databases were used to analyze B56εexpression,prognostic mutations,somatic copy number alterations,and tumor immune characteristics in 33 tumors.The relationships between B56εexpression levels and drug sensitivity,immuno-therapy,immune checkpoints,and human leukocyte antigen(HLA)-related genes were further analyzed.Gene Set Enrichment Analysis(GSEA)was performed to reveal the role of B56εin HCC.The Cell Counting Kit-8,plate cloning,wound healing,and transwell assays were conducted to assess the effects of B56εinterference on the malignant behavior of HCC cells.RESULTS In most tumors,B56εexpression was upregulated,and high B56εexpression was a risk factor for adrenocortical cancer,HCC,pancreatic adenocarcinoma,and pheochromocytoma and paraganglioma(all P<0.05).B56εexpression levels were correlated with a variety of immune cells,such as T helper 17 cells,B cells,and macro-phages.There was a positive correlation between B56εexpression levels with immune checkpoint genes and HLA-related genes(all P<0.05).The expression of B56εwas negatively correlated with the sensitivity of most chemotherapy drugs,but a small number showed a positive correlation(all P<0.05).GSEA analysis showed that B56εexpression was related to the cancer pathway,p53 downstream pathway,and interleukin-mediated signaling in HCC.Knockdown of B56εexpression in HCC cells inhibited the proliferation,migration,and invasion capacity of tumor cells.Core Tip:The expression of protein phosphatase 2A(PP2A)subunit B56εis up-regulated in most tumors,and its high expression is a risk factor for adrenocortical cancer,hepatocellular carcinoma(HCC),pancreatic adenocarcinoma,and pheochromocytoma and paraganglioma.B56εexpression levels correlate with immune cells,immune checkpoint genes,human leukocyte antigen-related genes,and the sensitivity of chemotherapy drugs.In HCC,B56εexpression is related to the cancer pathway.Knockdown of B56εexpression in HCC cells can inhibit the proliferation,migration and invasion capacity of tumor cells.Our study supports PP2A subunit B56εas a prognostic marker and potential therapeutic target for HCC.

Fatal intratumoral hemorrhage in a patient with hepatocellular carcinoma following successful treatment with atezolizumab/bevacizumab:A case report

BACKGROUND Atezolizumab/bevacizumab is emerging as the new standard for advanced hepatocellular carcinoma(HCC),with ongoing real-world implementation to study its effectiveness.As the use of atezolizumab/bevacizumab increases,various side effects have been reported in clinical practice,most notably increased bleeding caused by bevacizumab.CASE SUMMARY In this case report,we present a rare and fatal case of intratumoral hemorrhage in a patient with advanced HCC following successful treatment with atezolizumab/bevacizumab.A 63-year-old male diagnosed with HCC initially underwent four cycles of intra-arterial chemotherapy.However,follow-up abdominal computed tomography(CT)revealed disease progression.Subsequently,the treatment plan was modified to atezolizumab/bevacizumab.After the fifth cycle of atezolizumab/bevacizumab,CT showed partial regression of HCC.One week later,he visited the emergency room due to severe abrupt abdominal pain.Abdominal CT revealed focal rupture of HCC in the medial segment inferior portion with active bleeding and a large amount of hemoperitoneum.Angiography was performed on the same day,and embolization of A4 and A8 branches using lipiodol and gelfoam was implemented.Despite successful hemostasis,the patient subsequently developed liver failure and died.CONCLUSION Atezolizumab/bevacizumab for advanced HCC suggests that intratumoral hemorrhage may be crucial despite good tumor response after immunotherapy,emphasizing the continuous monitoring of this side effect.

Nomogram prediction of vessels encapsulating tumor clusters in small hepatocellular carcinoma≤3 cm based on enhanced magnetic resonance imaging

BACKGROUND Vessels encapsulating tumor clusters(VETC)represent a recently discovered vascular pattern associated with novel metastasis mechanisms in hepatocellular carcinoma(HCC).However,it seems that no one have focused on predicting VETC status in small HCC(sHCC).This study aimed to develop a new nomogram for predicting VETC positivity using preoperative clinical data and image features in sHCC(≤3 cm)patients.AIM To construct a nomogram that combines preoperative clinical parameters and image features to predict patterns of VETC and evaluate the prognosis of sHCC patients.METHODS A total of 309 patients with sHCC,who underwent segmental resection and had their VETC status confirmed,were included in the study.These patients were recruited from three different hospitals:Hospital 1 contributed 177 patients for the training set,Hospital 2 provided 78 patients for the test set,and Hospital 3 provided 54 patients for the validation set.Independent predictors of VETC were identified through univariate and multivariate logistic analyses.These independent predictors were then used to construct a VETC prediction model for sHCC.The model’s performance was evaluated using the area under the curve(AUC),calibration curve,and clinical decision curve.Additionally,Kaplan-Meier survival analysis was performed to confirm whether the predicted VETC status by the model is associated with early recurrence,just as it is with the actual VETC status and early recurrence.RESULTS Alpha-fetoprotein_lg10,carbohydrate antigen 199,irregular shape,non-smooth margin,and arterial peritumoral enhancement were identified as independent predictors of VETC.The model incorporating these predictors demonstrated strong predictive performance.The AUC was 0.811 for the training set,0.800 for the test set,and 0.791 for the validation set.The calibration curve indicated that the predicted probability was consistent with the actual VETC status in all three sets.Furthermore,the decision curve analysis demonstrated the clinical benefits of our model for patients with sHCC.Finally,early recurrence was more likely to occur in the VETC-positive group compared to the VETC-negative group,regardless of whether considering the actual or predicted VETC status.CONCLUSION Our novel prediction model demonstrates strong performance in predicting VETC positivity in sHCC(≤3 cm)patients,and it holds potential for predicting early recurrence.This model equips clinicians with valuable information to make informed clinical treatment decisions.

Shi-pi-xiao-ji formula suppresses hepatocellular carcinoma by reducing cellular stiffness through upregulation of acetyl-coA acetyltransferase 1

BACKGROUND Previous studies have shown that the Shi-pi-xiao-ji(SPXJ)herbal decoction formula is effective in suppressing hepatocellular carcinoma(HCC),but the underlying mechanisms are not known.Therefore,this study investigated whether the antitumor effects of the SPXJ formula in treating HCC were mediated by acetyl-coA acetyltransferase 1(ACAT1)-regulated cellular stiffness.Through a series of experiments,we concluded that SPXJ inhibits the progression of HCC by upregulating the expression level of ACAT1,lowering the level of cholesterol in the cell membrane,and altering the cellular stiffness,which provides a new idea for the research of traditional Chinese medicine against HCC.AIM To investigate the anti-tumor effects of the SPXJ formula on the malignant progression of HCC.METHODS HCC cells were cultured in vitro with SPXJ-containing serum prepared by injecting SPXJ formula into wild-type mice.The apoptotic rate and proliferative,invasive,and migratory abilities of control and SPXJ-treated HCC cells were compared.Atomic force microscopy was used to determine the cell surface morphology and the Young’s modulus values of the control and SPXJ-treated HCC cells.Plasma membrane cholesterol levels in HCC cells were detected using the Amplex Red cholesterol detection kit.ACAT1 protein levels were estimated using western blotting.RESULTS Compared with the vehicle group,SPXJ serum considerably reduced proliferation of HCC cells,increased stiffness and apoptosis of HCC cells,inhibited migration and invasion of HCC cells,decreased plasma membrane cholesterol levels,and upregulated ACAT1 protein levels.However,treatment of HCC cells with the water-soluble cholesterol promoted proliferation,migration,and invasion of HCC cells as well as decreased cell stiffness and plasma membrane cholesterol levels,but did not alter the apoptotic rate and ACAT1 protein expression levels compared with the vehicle control.CONCLUSION SPXJ formula inhibited proliferation,invasion,and migration of HCC cells by decreasing plasma membrane cholesterol levels and altering cellular stiffness through upregulation of ACAT1 protein expression.

Preoperatively predicting vessels encapsulating tumor clusters in hepatocellular carcinoma:Machine learning model based on contrast-enhanced computed tomography

BACKGROUND Recently,vessels encapsulating tumor clusters(VETC)was considered as a distinct pattern of tumor vascularization which can primarily facilitate the entry of the whole tumor cluster into the bloodstream in an invasion independent manner,and was regarded as an independent risk factor for poor prognosis in hepatocellular carcinoma(HCC).AIM To develop and validate a preoperative nomogram using contrast-enhanced computed tomography(CECT)to predict the presence of VETC+in HCC.METHODS We retrospectively evaluated 190 patients with pathologically confirmed HCC who underwent CECT scanning and immunochemical staining for cluster of differentiation 34 at two medical centers.Radiomics analysis was conducted on intratumoral and peritumoral regions in the portal vein phase.Radiomics features,essential for identifying VETC+HCC,were extracted and utilized to develop a radiomics model using machine learning algorithms in the training set.The model’s performance was validated on two separate test sets.Receiver operating characteristic(ROC)analysis was employed to compare the identified performance of three models in predicting the VETC status of HCC on both training and test sets.The most predictive model was then used to constructed a radiomics nomogram that integrated the independent clinical-radiological features.ROC and decision curve analysis were used to assess the performance characteristics of the clinical-radiological features,the radiomics features and the radiomics nomogram.RESULTS The study included 190 individuals from two independent centers,with the majority being male(81%)and a median age of 57 years(interquartile range:51-66).The area under the curve(AUC)for the combined radiomics features selected from the intratumoral and peritumoral areas were 0.825,0.788,and 0.680 in the training set and the two test sets.A total of 13 features were selected to construct the Rad-score.The nomogram,combining clinicalradiological and combined radiomics features could accurately predict VETC+in all three sets,with AUC values of 0.859,0.848 and 0.757.Decision curve analysis revealed that the radiomics nomogram was more clinically useful than both the clinical-radiological feature and the combined radiomics models.CONCLUSION This study demonstrates the potential utility of a CECT-based radiomics nomogram,incorporating clinicalradiological features and combined radiomics features,in the identification of VETC+HCC.

Omics-imaging signature-based nomogram to predict the progression-free survival of patients with hepatocellular carcinoma after transcatheter arterial chemoembolization

BACKGROUND Enhanced magnetic resonance imaging(MRI)is widely used in the diagnosis,treatment and prognosis of hepatocellular carcinoma(HCC),but it can not effectively reflect the heterogeneity within the tumor and evaluate the effect after treatment.Preoperative imaging analysis of voxel changes can effectively reflect the internal heterogeneity of the tumor and evaluate the progression-free survival(PFS).AIM To predict the PFS of patients with HCC before operation by building a model with enhanced MRI images.METHODS Delineate the regions of interest(ROI)in arterial phase,portal venous phase and delayed phase of enhanced MRI.After extracting the combinatorial features of ROI,the features are fused to obtain deep learning radiomics(DLR)_Sig.DeLong's test was used to evaluate the diagnostic performance of different typological features.K-M analysis was applied to assess PFS in different risk groups,and the discriminative ability of the model was evaluated using the Cindex.RESULTS Tumor diameter and diolame were independent factors influencing the prognosis of PFS.Delong's test revealed multi-phase combined radiomic features had significantly greater area under the curve values than did those of the individual phases(P<0.05).In deep transfer learning(DTL)and DLR,significant differences were observed between the multi-phase and individual phases feature sets(P<0.05).K-M survival analysis revealed a median survival time of high risk group and low risk group was 12.8 and 14.2 months,respectively,and the predicted probabilities of 6 months,1 year and 2 years were 92%,60%,40%and 98%,90%,73%,respectively.The C-index was 0.764,indicating relatively good consistency between the predicted and observed results.DTL and DLR have higher predictive value for 2-year PFS in nomogram.CONCLUSION Based on the multi-temporal characteristics of enhanced MRI and the constructed Nomograph,it provides a new strategy for predicting the PFS of transarterial chemoembolization treatment of HCC.

Chinese herbal medicine decreases incidence of hepatocellular carcinoma in diabetes mellitus patients with regular insulin management

BACKGROUND Type 2 diabetes mellitus(DM)is an independent risk factor for hepatocellular carcinoma(HCC),while insulin is a potent mitogen.Identifying a new therapeutic modality for preventing insulin users from developing HCC is a critical goal for researchers.AIM To investigate whether regular herbal medicine use can decrease HCC risk in DM patients with regular insulin control.METHODS We used data acquired from the Taiwan,Chinaese National Health Insurance research database between 2000 and 2017.We identified patients with DM who were prescribed insulin for>3 months.The herb user group was further defined as patients prescribed herbal medication for DM for>3 months per annum during RESULTS We initially enrolled 657144 DM patients with regular insulin use from 2000 to 2017.Among these,46849 patients had used a herbal treatment for DM,and 140547 patients were included as the matched control group.The baseline variables were similar between the herb users and nonusers.DM patients with regular herb use had a 12%decreased risk of HCC compared with the control group[adjusted hazard ratio(aHR)=0.88,95%CI=0.80–0.97].The cumulative incidence of HCC in the herb users was significantly lower than that of the nonusers.Patients with a herb use of>5 years cumulatively exhibited a protective effect against development of HCC(aHR=0.82,P<0.05).Of patients who developed HCC,herb users exhibited a longer survival time than nonusers(aHR=0.78,P=0.0001).Additionally,we report the top 10 herbs and formulas in prescriptions and summarize the potential pharmacological effects of the constituents.Our analysis indicated that Astragalus propinquus(Huang Qi)plus Salvia miltiorrhiza Bunge(Dan Shen),and Astragalus propinquus(Huang Qi)plus Trichosanthes kirilowii Maxim.(Tian Hua Fen)were the most frequent combination of single herbs.Meanwhile,Ji Sheng Shen Qi Wan plus Dan Shen was the most frequent combination of herbs and formulas.CONCLUSION This large-scale retrospective cohort study reveals that herbal medicine may decrease HCC risk by 12%in DM patients with regular insulin use.

Reassessment of palliative surgery in conversion therapy of previously unresectable hepatocellular carcinoma: Two case reports and review of literature

BACKGROUND Most patients with hepatocellular carcinoma(HCC)have lost the opportunity for direct surgery at the time of diagnosis.Transarterial chemoembolization(TACE)combined with immune checkpoint inhibitors or tyrosine kinase inhibitors(TKI)can partially transform some unresectable HCC and improve the prognosis ef-fectively.However,based on the promising prospects of combined targeted and immunotherapy for the effective treatment of HCC,the positive role of palliative surgery in the conversion treatment of advanced HCC urgently needs further in-tensive re-assessment.CASE SUMMARY In this study,we describe two successful cases of"conversion therapy for un-resectable HCC"achieved mainly by palliative surgery combined with TACE plus immunotherapy and TKIs.A 48-year-old patient with newly diagnosed HCC,presenting with a 6-cm mass in the segment VII/VIII of the right liver with mul-tiple intrahepatic metastases,could not undergo one-stage radical surgical resection.He underwent palliative surgery with radiofrequency of metastatic lesions and the palliative resection of the primary mass,and received subsequent TACE treatments twice in the early postoperative period(2 weeks and 6 weeks),in addition to targeted and immune combination therapy with sintilimab injection and oral lenvatinib.No evidence of recurrence was observed during the 11-month follow-up period after surgery.The other patient was a 47-year-old patient with massive HCC(18 cm×15 cm×4.5 cm)in the left liver with severe cirrhosis.The left portal branch was occluded and a tumor thrombus formed,and the tumor partly involved the middle hepatic vein.The patient underwent palliative surgery of left hemihepatectomy(including resection of the middle hepatic vein)for HCC,followed by three TACE procedures and oral TKIs 2 weeks after surgery.Six months later,the re-examination via computed tomography revealed no tumour activity in the remaining right liver,while magnetic resonance imaging revealed slight local tumor enhancement in the caudate lobe of the liver considered,TACE was performed once again,and during the next follow-up of 10 months did not reveal new intrahepatic lesions or distant metastases.CONCLUSION These cases demonstrate that the addition of palliative surgery to conversion therapy in a selected population with a high tumor burden could benefit patients with initially unresectable HCC.

Novel prognostic factors after radical resection of hepatocellular carcinoma: Updating an old issue

In this editorial,I comment on the article by Li et al published in the recent issue of the World Journal of Gastrointestinal Surgery in 2023,investigating the role of some novel prognostic factors for early survival after radical resection of liver cancer.Liver cancer is an important burden among Asian and Western popu-lations,despite recent advances in both medicine(from virus eradication to systemic target therapies)and surgery.However,survival after proven radical surgery remains poor,with recurrences being the rule.Many prognostic scores have been developed and validated to select those patients who will best benefit from radical liver surgery,although the final general and oncological outcomes continue to be highly jeopardized.Unfortunately,no single biomarker can resolve all these issues for hepatocellular carcinoma,and it remains to be proven whether some of them main-tain predictive power in the long-term follow-up.In the ongoing era of“preci-sion”medicine,the novel prognostic markers,including immune inflammatory and nutritional indexes could be of great help in better stratify surgical candi-dates.

Lecithin-cholesterol acyltransferase is a potential tumor suppressor and predictive marker for hepatocellular carcinoma metastasis

BACKGROUND Hepatocellular carcinoma(HCC)is a major cause of cancer mortality worldwide,and metastasis is the main cause of early recurrence and poor prognosis.However,the mechanism of metastasis remains poorly understood.AIM To determine the possible mechanism affecting HCC metastasis and provide a possible theoretical basis for HCC treatment.METHODS The candidate molecule lecithin-cholesterol acyltransferase(LCAT)was screened by gene microarray and bioinformatics analysis.The expression levels of LCAT in clinical cohort samples was detected by quantitative realtime polymerase chain reaction and western blotting.The proliferation,migration,invasion and tumor-forming ability were measured by Cell Counting Kit-8,Transwell cell migration,invasion,and clonal formation assays,respectively.Tumor formation was detected in nude mice after LCAT gene knockdown or overexpression.The immunohistochemistry for Ki67,E-cadherin,N-cadherin,matrix metalloproteinase 9 and vascular endothelial growth factor were performed in liver tissues to assess the effect of LCAT on HCC.Gene set enrichment analysis(GSEA)on various gene signatures were analyzed with GSEA version 3.0.Three machine-learning algorithms(random forest,support vector machine,and logistic regression)were applied to predict HCC metastasis in The Cancer Genome Atlas and GEO databases.RESULTS LCAT was identified as a novel gene relating to HCC metastasis by using gene microarray in HCC tissues.LCAT was significantly downregulated in HCC tissues,which is correlated with recurrence,metastasis and poor outcome of HCC patients.Functional analysis indicated that LCAT inhibited HCC cell proliferation,migration and invasion both in vitro and in vivo.Clinicopathological data showed that LCAT was negatively associated with HCC size and metastasis(HCC size≤3 cm vs 3-9 cm,P<0.001;3-9 cm vs>9 cm,P<0.01;metastatic-free HCC vs extrahepatic metastatic HCC,P<0.05).LCAT suppressed the growth,migration and invasion of HCC cell lines via PI3K/AKT/mTOR signaling.Our results indicated that the logistic regression model based on LCAT,TNM stage and the serum level of α-fetoprotein in HCC patients could effectively predict high metastatic risk HCC patients.CONCLUSION LCAT is downregulated at translational and protein levels in HCC and might inhibit tumor metastasis via attenuating PI3K/AKT/mTOR signaling.LCAT is a prognostic marker and potential therapeutic target for HCC.