Journal of Hepatocellular Carcinoma最新文献

{"title":"Why Liver Cancer Hits Home: Bridging Healthcare Disparities in the Asian American and Pacific Islander Community","authors":"Daneng Li, Spencer Cheng, Andrea Wilson Woods, Allyson Luong, Sarah Schiltz, Ruoding Tan, Zeena Huang Chi","doi":"10.2147/jhc.s467913","DOIUrl":"https://doi.org/10.2147/jhc.s467913","url":null,"abstract":"<strong>Abstract:</strong> Asian Americans and Pacific Islanders have an increased risk of developing liver cancer and higher risk of death compared to non-Hispanic White individuals. The role of individual-level risk factors, social determinants of health, and barriers navigating health systems present unique challenges in obtaining liver cancer care for these patients. Additionally, the Asian American and Pacific Islander population is a heterogenous group originating from several different countries and speaking various languages, and they are often underrepresented in cancer clinical trial populations. This article describes the challenges faced by Asian American and Pacific Islander patients with liver cancer from the clinician, research, and patient advocacy perspectives and proposes targeted solutions to reduce healthcare disparities in this group.<br/><br/><strong>Keywords:</strong> Asian American and Pacific Islander, health equity, hepatocellular carcinoma, cancer care<br/>","PeriodicalId":15906,"journal":{"name":"Journal of Hepatocellular Carcinoma","volume":"52 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141737080","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"MRI Radiomics Combined with Clinicopathological Factors for Predicting 3-Year Overall Survival of Hepatocellular Carcinoma After Hepatectomy","authors":"Fangyuan Kuang, Yang Gao, Qingyun Zhou, Chenying Lu, Qiaomei Lin, Abdullah Al Mamun, Junle Pan, Shuibo Shi, Chaoyong Tu, Chuxiao Shao","doi":"10.2147/jhc.s464916","DOIUrl":"https://doi.org/10.2147/jhc.s464916","url":null,"abstract":"<strong>Background:</strong> A limited number of studies have examined the use of radiomics to predict 3-year overall survival (OS) after hepatectomy in patients with hepatocellular carcinoma (HCC). This study develops 3-year OS prediction models for HCC patients after liver resection using MRI radiomics and clinicopathological factors.<br/><strong>Materials and Methods:</strong> A retrospective analysis of 141 patients who underwent surgical resection of HCC was performed. Patients were randomized into two set: the training set (n=98) and the validation set (n=43) including the survival groups (n=111) and non-survival groups (n=30) based on 3-year survival after hepatectomy. Furthermore, x² or Fisher’s exact test, univariate and multivariate logistic regression analyses were conducted to determine independent clinicopathological risk factors associated with 3-year OS. 1688 quantitative imaging features were extracted from preoperative T2-weighted imaging (T2WI) and contrast-enhanced magnetic resonance imaging (CE-MRI) of arterial phase (AP), portal venous phases (PVP)and delay period (DP). The features were selected using the variance threshold method, the select K best method and the least absolute shrinkage and selection operator (LASSO) algorithm. By using Bernoulli Naive Bayes (BernoulliNB) and Multinomial Naive Bayes (MultinomialNB) classifiers, we constructed models based on the independent clinicopathological factors and Rad-scores. To determine the best model, receiver operating characteristics (ROC) and Delong’s test were used. Moreover, calibration curves were used to determine the calibration ability of the model, while decision curve analysis (DCA) was implemented to evaluate its clinical benefit.<br/><strong>Results:</strong> The fusion model showed excellent prediction precision with AUC of 0.910 and 0.846 in training and validation set and revealed significant diagnostic accuracy and value in the calibration curve and DCA analysis.<br/><strong>Conclusion:</strong> Nomograms based on MRI radiomics and clinicopathological factors have significant predictive value for 3-year OS after hepatectomy and can be used for risk classification.<br/><br/>","PeriodicalId":15906,"journal":{"name":"Journal of Hepatocellular Carcinoma","volume":"22 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141745663","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Research Progress in Predicting Hepatocellular Carcinoma with Portal Vein Tumour Thrombus in the Era of Artificial Intelligence","authors":"Yaduo Li, Ningning Fan, Xu He, Jianjun Zhu, Jie Zhang, Ligong Lu","doi":"10.2147/jhc.s474922","DOIUrl":"https://doi.org/10.2147/jhc.s474922","url":null,"abstract":"<strong>Abstract:</strong> Hepatocellular Carcinoma (HCC) is a condition associated with significant morbidity and mortality. The presence of Portal Vein Tumour Thrombus (PVTT) typically signifies advanced disease stages and poor prognosis. Artificial intelligence (AI), particularly Machine Learning (ML) and Deep Learning (DL), has emerged as a promising tool for extracting quantitative data from medical images. AI is increasingly integrated into the imaging omics workflow and has become integral to various medical disciplines. This paper provides a comprehensive review of the mechanisms underlying the formation and progression of PVTT, as well as its impact on clinical management and prognosis. Additionally, it outlines the advancements in AI for predicting the diagnosis of HCC and the development of PVTT. The limitations of existing studies are critically evaluated, and potential future research directions in the realm of imaging for the diagnostic prediction of HCC and PVTT are discussed, with the ultimate goal of enhancing survival outcomes for PVTT patients.<br/><br/><strong>Keywords:</strong> hepatocellular carcinoma, portal vein tumour thrombus, imaging omics, prediction, artificial intelligence<br/>","PeriodicalId":15906,"journal":{"name":"Journal of Hepatocellular Carcinoma","volume":"75 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141721208","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Hepatic Arterial Infusion Chemotherapy Combined with Lenvatinib and PD-1 Inhibitors for Managing Arterioportal Shunt in Hepatocellular Carcinoma with Portal Vein Tumor Thrombus: A Retrospective Cohort Study","authors":"Guanxiong Liu, Duo Zhu, Quansheng He, Churen Zhou, Li He, Zhengran Li, Zaibo Jiang, Mingsheng Huang, Boyang Chang, Chun Wu","doi":"10.2147/jhc.s456460","DOIUrl":"https://doi.org/10.2147/jhc.s456460","url":null,"abstract":"<strong>Purpose:</strong> This study aimed to assess the effectiveness and safety of combining hepatic arterial infusion chemotherapy (HAIC) with lenvatinib (LEN) and PD-1 inhibitors in treating arterioportal shunt (APS) in hepatocellular carcinoma (HCC) patients with portal vein tumor thrombus (PVTT).<br/><strong>Patients and Methods:</strong> Conducted retrospectively, the study enrolled 54 HCC patients with APS and PVTT treated with HAIC, LEN, and PD-1 inhibitors at our center between January 2021 and October 2023. APS improvement, APS recanalization, tumor response, PVTT response rate, overall survival (OS), intrahepatic progression-free survival (InPFS), and adverse events were evaluated.<br/><strong>Results:</strong> APS improvement was observed in 42 patients (77.8%), with all improvement occurring within two treatment sessions. Complete APS occlusion was achieved in 40 patients (74.1%), and no recanalization occurred. The best objective response rate (ORR) and ORR after two HAIC sessions were 74.1% and 66.7%, respectively. The best PVTT response and PVTT response after two HAIC sessions were 98.1% and 94.4%, respectively. The median OS and InPFS were 10.0 months and 5.0 months, respectively. OS and InPFS were longer in patients with APS occlusion compared to those without (OS 12.1 vs 4.4 months, P&lt; 0.001, InPFS 6.2 vs 2.3 months, P=0.049). ALBI grade, extrahepatic spread, APS disappearance were potential prognostic factors for OS, while APS grade and extrahepatic spread being independently associated with InPFS. No treatment-related mortality occurred.<br/><strong>Conclusion:</strong> Combining HAIC with LEN and PD-1 inhibitors proves to be both effective and safe in managing APS in HCC with PVTT, potentially improving patient survival.<br/><br/><strong>Keywords:</strong> hepatocellular carcinoma, shunt, portal vein tumor thrombus, hepatic arterial infusion chemotherapy, combination therapy<br/>","PeriodicalId":15906,"journal":{"name":"Journal of Hepatocellular Carcinoma","volume":"155 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2024-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141612821","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Simple Prognostic Scoring System for Hepatocellular Carcinoma Treated with DEB-TACE","authors":"Bo Jiang, Dong Lu, Jiaying Dai, Kunfeng Li, Qianqian Du, Bo Xie, Jun Xie, Xianhai Zhu, Xiang Xie","doi":"10.2147/jhc.s458657","DOIUrl":"https://doi.org/10.2147/jhc.s458657","url":null,"abstract":"<strong>Objective:</strong> To develop a simple and effective prognostic scoring system to predict the efficacy of drug-eluting bead-transcatheter arterial chemoembolization (DEB-TACE) in the treatment of hepatocellular carcinoma (HCC).<br/><strong>Methods:</strong> Data were retrospectively collected from 230 patients with HCC who received DEB-TACE treatment at six medical centers between January 2019 and December 2022. We developed a predictive score based on independent risk factors for overall survival (OS), validated the model using a validation cohort, and compared its prognostic accuracy with commonly used HCC staging systems.<br/><strong>Results:</strong> The number of tumors, albumin-bilirubin levels, alpha-fetoprotein levels, and portal vein thrombus grade were identified as independent factors influencing OS. Based on these factors, we established the DEB-TACE treatment of HCC (DTH) scoring system. The DTH score correlated well with OS, which decreased as the DTH score increased. According to the DTH score, patients were categorized into three risk groups: low-risk (DTH-A, 0– 4 points), medium-risk (DTH-B, 5– 6 points), and high-risk (DTH-A, 7 points). The OS of each risk group was 18.73± 0.62 months, 12.73± 0.10 months, and 6.93± 0.19 months, respectively (p&lt; 0.001). The external cohort validation confirmed the accuracy of the DTH score, demonstrating superior predictive performance compared to other commonly used HCC scoring systems.<br/><strong>Conclusion:</strong> The DTH-HCC scoring system effectively predicts the outcomes of HCC patients undergoing DEB-TACE as initial treatment. This model can aid in the initial planning and decision-making process for DEB-TACE treatment in HCC patients.<br/><br/><strong>Keywords:</strong> hepatocellular carcinoma, transcatheter arterial chemoembolization, prognosis prediction model<br/>","PeriodicalId":15906,"journal":{"name":"Journal of Hepatocellular Carcinoma","volume":"332 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141576861","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Portal Venous and Hepatic Arterial Coefficients Predict Post-Hepatectomy Overall and Recurrence-Free Survival in Patients with Hepatocellular Carcinoma: A Retrospective Study","authors":"Yu-Kai Li, Song Wu, Yu-Shan Wu, Wei-Hu Zhang, Yan Wang, Yue-Hua Li, Qiang Kang, Song-Quan Huang, Kai Zheng, Gai-Ming Jiang, Qing-Bo Wang, Yu-Bo Liang, Jin Li, Yawhan Lakang, Chen Yang, Jing Li, Jia-Ping Wang, Xiang Kui, Yang Ke","doi":"10.2147/jhc.s462168","DOIUrl":"https://doi.org/10.2147/jhc.s462168","url":null,"abstract":"<strong>Background:</strong> The dominant artery blood supply is a characteristic of hepatocellular carcinoma (HCC). However, it is not known whether the blood supply can predict the post-hepatectomy prognosis of patients with HCC. This retrospective study investigated the prognostic value of the portal venous and arterial blood supply estimated on triphasic liver CT (as a portal venous coefficient, PVC, and hepatic arterial coefficient, HAC, respectively) in patients with HCC following hepatectomy.<br/><strong>Methods:</strong> HCC patients who were tested by triphasic liver CT 2 weeks before hepatectomy and received R0 hepatectomy at the Second Affiliated Hospital, Kunming Medical University between January 1, 2016 and December 31, 2020, were retrospectively screened. Their PVC and HAC, and other variables were analyzed for the prediction of overall survival (OS) and recurrence-free survival (RFS) using the least absolute shrinkage and selection operator and Cox proportional hazard regression models.<br/><strong>Results:</strong> Four hundred and nineteen patients (53.2 ± 10.6 years of age and 370 men) were evaluated. A shorter OS was independently associated with higher blood albumin and total bilirubin grade [hazard ratio (HR) 2.020, 95% confidence interval (CI) 1.534– 2.660], higher Barcelona Clinic Liver Cancer (BCLC) stage (HR 1.514, 95% CI 1.290– 1.777), PVC ≤ 0.386 (HR 1.628, 95% CI 1.149– 2.305), and HAC &gt; 0.029 (HR 1.969, 95% CI 1.380– 2.809). A shorter RFS was independently associated with male (HR 1.652, 95% CI 1.005– 2.716), higher serum α-fetoprotein ≥ 400 ng/mL (HR 1.672, 95% CI 1.236– 2.263), higher BCLC stage (HR 1.516, 95% CI 1.300– 1.768), tumor PVC ≤ 0.386 (HR 1.641, 95% CI 1.198– 2.249), and tumor HAC &gt; 0.029 (HR 1.455, 95% CI 1.060– 1.997).<br/><strong>Conclusion:</strong> Tumor PVC or HAC before hepatectomy is valuable for independently predicting postoperative survival of HCC patients. <br/><br/>","PeriodicalId":15906,"journal":{"name":"Journal of Hepatocellular Carcinoma","volume":"2017 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141576862","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"CD276 Promotes an Inhibitory Tumor Microenvironment in Hepatocellular Carcinoma and is Associated with Poor Prognosis","authors":"Wen-Feng Liu, Qiu-Yu Jiang, Zhuo-Ran Qi, Feng Zhang, Wen-Qing Tang, Hao-Qi Wang, Ling Dong","doi":"10.2147/jhc.s469529","DOIUrl":"https://doi.org/10.2147/jhc.s469529","url":null,"abstract":"<strong>Background:</strong> CD276 is an emerging immune checkpoint molecule that has been implicated in various cancers. However, its specific role in hepatocellular carcinoma (HCC) remains unclear. This study examined the impact of CD276 on patient prognosis and the tumor microenvironment (TME).<br/><strong>Methods:</strong> The Cancer Genome Atlas (TCGA) database was utilized to evaluate CD276 expression in HCC and the association between CD276 and immune indicators was also analyzed. The signaling pathways correlated with CD276 expression were identified by gene set enrichment analysis (GSEA). Different algorithms were used to assess immune cell infiltration. The effect of CD276 knockdown on HCC cell phenotypes and its relationship with macrophage polarization was examined using the cell counting kit 8 (CCK-8) assay and co-culture system.<br/><strong>Results:</strong> CD276 was upregulated in HCC and associated with unfavorable clinical outcomes. Hgh CD276 expression was associated with enrichment of the G2/M checkpoint, E2F targets, and mitotic spindles. CD276 expression was correlated with the infiltration of immune cells, including high level of tumor-associated macrophages and low levels of CD8⁺ T cells. Knockdown of CD276 decreased HCC cell proliferation and increased apoptosis. CD276 silencing in HCC cells and co-culture with THP-1–derived macrophages had a regulatory effect on macrophage polarization and macrophage-mediated cell proliferation and migration.<br/><strong>Conclusion:</strong> CD276 expression in HCC is associated with unfavorable clinical outcomes and may contribute to the development of an immunosuppressive microenvironment. Specifically, CD276 was associated with alterations in immune cell infiltration, immune marker expression, and macrophage polarization during HCC progression, suggesting its potential as a prognostic indicator and promising target for immunotherapeutic intervention in HCC.<br/><br/>","PeriodicalId":15906,"journal":{"name":"Journal of Hepatocellular Carcinoma","volume":"4 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141576864","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Recurrence of Hepatocellular Carcinoma in Patients with Low Albumin-Bilirubin Grade in TACE Combined with Ablation: A Random Forest Cox Predictive Model","authors":"Yiqi Xiong, Wenying Qiao, Tingting Mei, Kang Li, Ronghua Jin, Yonghong Zhang","doi":"10.2147/jhc.s465962","DOIUrl":"https://doi.org/10.2147/jhc.s465962","url":null,"abstract":"<strong>Purpose:</strong> The aim of our study was to investigate the relationship between albumin-bilirubin (ALBI) grade and recurrence in patients who underwent TACE sequential ablation. We developed and validated a nomogram to predict low levels of ALBI patients’ recurrence.<br/><strong>Patients and Methods:</strong> A total of 880 patients undergoing TACE combined ablation at Beijing Youan Hospital from January 2014 to December 2021 were retrospectively enrolled, including 415 patients with L-ALBI (≤-2.6) and 465 patients with high levels (&gt;-2.6) of ALBI (H-ALBI). L-ALBI patients were randomized in a 7:3 ratio into the training cohort (N=289) and validation cohort (N=126). Multivariate Cox regression followed by random survival forest was carried out to identify independent risk factors for prediction nomogram construction. An examination of nomogram accuracy was performed using the C-index, receiver operating characteristic (ROC), calibration curves, and decision curve analysis (DCA) curves. According to the nomogram, the patients were divided into low-risk, intermediate-risk, and high-risk groups. Kaplan-Meier (KM) curves were applied to compare the difference in recurrence-free survival (RFS) among the three groups.<br/><strong>Results:</strong> The median RFS in L-ALBI patients was significantly longer than the H-ALBI patients (40.8m vs 20.1m, HR:1.71, 95% CI:1.44– 2.04, P&lt; 0.0001). The nomogram was composed of five variables, such as age, Barcelona Clinic Liver Cancer (BCLC) stage, globulin, gamma-glutamyl transferase to lymphocyte ratio (GLR), and international normalized ratio (INR). The C-index (0.722 and 0.731) and 1-, 3-, and 5-year AUCs (0.725, 0.803, 0.870, and 0.764, 0.816, 0.798) of the training and validation cohorts proved the good predictive performance of the nomogram. Calibration curves and DCA curves demonstrated good consistency and good clinical utility. There were significant differences in RFS between the low-risk, intermediate-risk, and high-risk groups (P&lt; 0.0001).<br/><strong>Conclusion:</strong> L-ALBI Patients who underwent TACE combined ablation had better recurrence-free survival than patients with H-ALBI. The nomogram developed and validated in our study had good predictive ability in recurrence for L-ALBI patients.<br/><br/><strong>Keywords:</strong> hepatocellular carcinoma, HCC, ablation, nomogram, recurrence, albumin-bilirubin, ALBI<br/>","PeriodicalId":15906,"journal":{"name":"Journal of Hepatocellular Carcinoma","volume":"29 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141576863","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Utility of Machine Learning in the Prediction of Post-Hepatectomy Liver Failure in Liver Cancer","authors":"Hirotaka Tashiro, Takashi Onoe, Naoki Tanimine, Sho Tazuma, Yoshiyuki Shibata, Takeshi Sudo, Haruki Sada, Norimitsu Shimada, Hirofumi Tazawa, Takahisa Suzuki, Yosuke Shimizu","doi":"10.2147/jhc.s451025","DOIUrl":"https://doi.org/10.2147/jhc.s451025","url":null,"abstract":"<strong>Background:</strong> Posthepatectomy liver failure (PHLF) is a serious complication associated with high mortality rates. Machine learning (ML) has rapidly developed and may outperform traditional models in predicting PHLF in patients who have undergone hepatectomy. This study aimed to predict PHLF using ML and compare its performance with that of traditional scoring systems.<br/><strong>Methods:</strong> The clinicopathological data of 334 patients who underwent liver resection were retrospectively collected. The Pycaret library, a simple, open-source machine learning library, was used to compare multiple classification models for PHLF prediction. The predictive performance of 15 ML algorithms was compared using the mean area under the receiver operating characteristic curve (AUROC) and accuracy, and the best-fit model was selected among 15 ML algorithms. Next, the predictive performance of the selected ML-PHLF model was compared with that of routine scoring systems, the albumin-bilirubin score (ALBI) and the fibrosis-4 (FIB-4) index, using AUROC.<br/><strong>Results:</strong> The best model was extreme gradient boosting (accuracy:93.1%; AUROC:0.863) among the 15 ML algorithms. As compared with ALBI and FIB-4, the ML PHLF model had higher AUROC for predicting PHLF.<br/><strong>Conclusion:</strong> The novel ML model for predicting PHLF outperformed routine scoring systems.<br/><br/>","PeriodicalId":15906,"journal":{"name":"Journal of Hepatocellular Carcinoma","volume":"2 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141546418","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"IL-6 Released from Hepatic Stellate Cells Promotes Glycolysis and Migration of HCC Through the JAK1/vWF/TGFB1 Axis","authors":"Yifei Zhu, Jiayi Gu, Yuxin Lu, Qianying Tao, Xinliang Cao, Yanqing Zhu, Mu-qing Yang, Xin Liang","doi":"10.2147/jhc.s464880","DOIUrl":"https://doi.org/10.2147/jhc.s464880","url":null,"abstract":"<strong>Purpose:</strong> The crosstalk between hepatocellular carcinoma (HCC) cells and hepatic stellate cells (HSCs) is one of the important mechanisms of liver cancer metastasis. The relationship between liver cancer metastasis and glycolysis has been extensively studied recently. However, the role of von Willebrand factor (vWF) mediated glycolysis mechanism in liver cancer metastasis is currently unknown.<br/><strong>Methods:</strong> Western blot was used to verify the expression of vWF in HCC cells. PAS staining, glycogen and L-lactate content assays were used to reflect cellular glycolysis levels. The ability of cell migration was explored by Wound-healing and Transwell assays. Besides, the effect of vWF on the progression of HCC in vivo was also studied using subcutaneous xenograft model.<br/><strong>Results:</strong> vWF derived from HCC cells promoted tumor migration by mediating glycolysis. Besides, vWF participated in the crosstalk between HCC cells and HSCs. HCC cells activated HSCs through vWF-mediated TGFB1 expression and secretion, and activated HSCs upregulated vWF expression in HCC cells through IL-6 secretion feedback. Further, in vitro and in vivo experiments also confirmed the importance of the JAK1/vWF/TGFB1 axis in regulating HSCs-derived IL-6 mediated HCC migration and growth.<br/><strong>Conclusion:</strong> In summary, this article demonstrated that IL-6 released from hepatic stellate cells enhanced glycolysis and migration ability of liver cancer cells by activating JAK1/vWF/TGFB1 axis which may also be a potential target for inhibiting liver cancer metastasis.<br/><br/><strong>Keywords:</strong> glycolysis, crosstalk, vWF, migration<br/>","PeriodicalId":15906,"journal":{"name":"Journal of Hepatocellular Carcinoma","volume":"40 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141546420","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}