{"title":"Application of biological big data and radiomics in hepatocellular carcinoma","authors":"Guoxu Fang , Jianhui Fan , Zongren Ding , Yongyi Zeng","doi":"10.1016/j.iliver.2023.01.003","DOIUrl":"https://doi.org/10.1016/j.iliver.2023.01.003","url":null,"abstract":"<div><p>Hepatocellular carcinoma (HCC), one of the most common gastrointestinal cancers, has been considered a worldwide threat due to its high incidence and poor prognosis. In recent years, with the continuous emergence and promotion of new sequencing technologies in omics, genomics, transcriptomics, proteomics, and liquid biopsy are used to assess HCC heterogeneity from different perspectives and become a hotspot in the field of tumor precision medicine. In addition, with the continuous improvement of machine learning algorithms and deep learning algorithms, radiomics has made great progress in the field of ultrasound, CT and MRI for HCC. This article mainly reviews the research progress of biological big data and radiomics in HCC, and it provides new methods and ideas for the diagnosis, prognosis, and therapy of HCC.</p></div>","PeriodicalId":100657,"journal":{"name":"iLIVER","volume":"2 1","pages":"Pages 41-49"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49717347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
iLIVERPub Date : 2023-03-01DOI: 10.1016/j.iliver.2023.01.004
Jianping Song , Jingxian Sun , Shuhong Jing , Tingxiao Zhang , Jianlei Wang , Yanfeng Liu
{"title":"A high level of secreted phosphoprotein 1 is associated with macrophage infiltration and poor prognosis in hepatocellular carcinoma","authors":"Jianping Song , Jingxian Sun , Shuhong Jing , Tingxiao Zhang , Jianlei Wang , Yanfeng Liu","doi":"10.1016/j.iliver.2023.01.004","DOIUrl":"https://doi.org/10.1016/j.iliver.2023.01.004","url":null,"abstract":"<div><h3>Background and aims</h3><p>Secreted phosphoprotein 1 (<em>SPP1</em>) functions in several physiological processes. The role of SPP1 expression in the prognosis and tumor immunity of hepatocellular carcinoma (HCC) is unknown. The aim of this study was to investigate the expression pattern of SPP1 in HCC and its correlation with prognosis and tumor immunity.</p></div><div><h3>Methods</h3><p>Clinical and gene expression data of The Cancer Genome Atlas-liver hepatocellular carcinoma (LIHC) cohort and 11 other HCC datasets were collected. The Kaplan–Meier method and Cox regression analysis were used to analyze the prognostic value of <em>SPP1</em>. The DESeq2 package in R was used to analyze <em>SPP1</em>-related genes. Gene Ontology analysis and gene set enrichment analysis were used to determine the biological function of <em>SPP1</em> in HCC. The single sample Gene Set Enrichment Analysis (ssGSEA) method was used to analyze the immune infiltrates of HCC. Illumina human methylation 450 data and level 3 HTSeq-FPKM data from The Cancer Genome Atlas-LIHC were used to analyze the effects of DNA methylation level on <em>SPP1</em> expression.</p></div><div><h3>Results</h3><p><em>SPP1</em> was overexpressed in HCC and correlated with T stage, histological grade, adjacent hepatic tissue inflammation, and vascular invasion in HCC. The analysis of survival rates indicated that high <em>SPP1</em> levels were associated with poor overall survival in HCC. Functional analysis showed that <em>SPP1</em> is related to tumor immunity, especially macrophage infiltration. Aberrant demethylation of the promoter region is one of the mechanisms underlying the increase of <em>SPP1</em> in HCC.</p></div><div><h3>Conclusion</h3><p>Our results indicate that <em>SPP1</em> is an independent prognostic factor for HCC and is correlated with the clinical features and macrophage infiltration in HCC.</p></div>","PeriodicalId":100657,"journal":{"name":"iLIVER","volume":"2 1","pages":"Pages 26-35"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49717370","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
iLIVERPub Date : 2023-03-01DOI: 10.1016/j.iliver.2023.03.001
Pengpeng Zhang, Tianyin Wang, Hong Liu, X. She, Ke Chen, Yu-jun Zhao, Y. Ming
{"title":"Acute rejection was observed in a combination therapy of CTLA-4 and PD-1 inhibitors before liver transplantation: A case report and literature review","authors":"Pengpeng Zhang, Tianyin Wang, Hong Liu, X. She, Ke Chen, Yu-jun Zhao, Y. Ming","doi":"10.1016/j.iliver.2023.03.001","DOIUrl":"https://doi.org/10.1016/j.iliver.2023.03.001","url":null,"abstract":"","PeriodicalId":100657,"journal":{"name":"iLIVER","volume":"72 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86278615","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
iLIVERPub Date : 2023-03-01DOI: 10.1016/j.iliver.2022.12.002
Hao Chi , Dapeng Chen , Yuliang Zhang , Zilin Cui , Yi Bai , Yamin Zhang
{"title":"Single-cell transcriptome analysis reveals a cancer-associated fibroblast marker gene signature in hepatocellular carcinoma that predicts prognosis","authors":"Hao Chi , Dapeng Chen , Yuliang Zhang , Zilin Cui , Yi Bai , Yamin Zhang","doi":"10.1016/j.iliver.2022.12.002","DOIUrl":"https://doi.org/10.1016/j.iliver.2022.12.002","url":null,"abstract":"<div><h3>Background and aims</h3><p>Hepatocellular carcinoma (HCC) is one of the leading causes of cancer death. Multi-pathway combination therapy is used to treat HCC, and immunotherapy is also a routine part of treatment. As a major component of the tumor microenvironment (TME), cancer-associated fibroblasts (CAFs) actively participate in cancer progression through complex functions. However, because CAFs dynamically change during cancer development, most of the current treatment strategies targeting CAFs fail. We created a prognostic CAF marker gene signature (CAFMGS) to investigate the utility of CAFs as a prognostic factor and therapeutic target.</p></div><div><h3>Methods</h3><p>Gene Expression Omnibus (GEO) single-cell RNA sequencing (Sc-RNA-seq) data were analyzed to identify CAF marker genes in HCC. The Cancer Genome Atlas (TCGA) database was used as a training cohort to construct the CAFMGS model and the International Cancer Genome Consortium (ICGC) dataset was used to validate the CAFMGS.</p></div><div><h3>Results</h3><p>Marker genes in the CAFMGS model were (0.0001-<em>SPP1</em>), (0.0084-<em>VCX3A</em>), (0.0015-<em>HMGA1</em>), (0.0082-<em>PLOD2</em>), and (0.0075-<em>CACYBP</em>). The CAFMGS_score was separated into high-risk and low-risk groups based on the median of the patients’ OS. Univariate and multivariate analyses confirmed that CAFMGS_score was an independent prognostic factor in the training group. CAFMGS_score was a more accurate prognostic indicator compared with clinicopathological score and tumor mutational burden score.</p></div><div><h3>Conclusion</h3><p>CAFMGS offers a fresh perspective on stromal cell marker genes in HCC prognosis and expands our knowledge of CAF heterogeneity and functional diversity, perhaps paving the way for CAF-targeted immunotherapy in HCC patients.</p></div>","PeriodicalId":100657,"journal":{"name":"iLIVER","volume":"2 1","pages":"Pages 16-25"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49717179","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
iLIVERPub Date : 2023-03-01DOI: 10.1016/j.iliver.2023.02.002
Yingjie Tian , Minghao Liu , Yu Sun , Saiji Fu
{"title":"When liver disease diagnosis encounters deep learning: Analysis, challenges, and prospects","authors":"Yingjie Tian , Minghao Liu , Yu Sun , Saiji Fu","doi":"10.1016/j.iliver.2023.02.002","DOIUrl":"https://doi.org/10.1016/j.iliver.2023.02.002","url":null,"abstract":"<div><p>The liver is the second-largest organ in the human body and is essential for digesting food and removing toxic substances. Viruses, obesity, alcohol use, and other factors can damage the liver and cause liver disease. The diagnosis of liver disease used to depend on the clinical experience of doctors, which made it subjective, difficult, and time-consuming. Deep learning has made breakthroughs in various fields; thus, there is a growing interest in using deep learning methods to solve problems in liver research to assist doctors in diagnosis and treatment. In this paper, we provide an overview of deep learning in liver research using 139 papers from the last 5 years. We also show the relationship between data modalities, liver topics, and applications in liver research using Sankey diagrams and summarize the deep learning methods used for each liver topic, in addition to the relations and trends between these methods. Finally, we discuss the challenges of and expectations for deep learning in liver research.</p></div>","PeriodicalId":100657,"journal":{"name":"iLIVER","volume":"2 1","pages":"Pages 73-87"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49734917","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
iLIVERPub Date : 2023-03-01DOI: 10.1016/j.iliver.2023.02.003
Zongxue Li, Ze Zhang, Jing Yu, Xia Du, Pinggui Lei, Zhibing Ruan, Bo Gao
{"title":"Imaging of pregnancy-related liver diseases","authors":"Zongxue Li, Ze Zhang, Jing Yu, Xia Du, Pinggui Lei, Zhibing Ruan, Bo Gao","doi":"10.1016/j.iliver.2023.02.003","DOIUrl":"https://doi.org/10.1016/j.iliver.2023.02.003","url":null,"abstract":"<div><p>Pregnancy-related liver diseases are the most frequent cause of liver dysfunction in pregnancy and pose a real threat to fetal and maternal survival. Although hepatobiliary disorders are uncommon in pregnancy, they may be severe enough to cause risk to both the mother and fetus. There are five different types of liver disease that are unique to pregnancy, including hyperemesis gravidarum, intrahepatic cholestasis of pregnancy, preeclampsia, hemolysis, elevated liver enzyme, and low platelet count syndrome, and acute fatty liver of pregnancy. Ultrasound, computed tomography, and magnetic resonance imaging play important roles in the rapid diagnosis and evaluation of complications. An accurate diagnosis can guide further treatment or the induction of labor to prevent intrauterine fetal death. This review highlights the pathogenesis, clinical features, imaging features, and treatment of pregnancy-related liver diseases with the aim of enhancing awareness of these rare but potentially life-threatening diseases of pregnancy.</p></div>","PeriodicalId":100657,"journal":{"name":"iLIVER","volume":"2 1","pages":"Pages 56-66"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49735106","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
iLIVERPub Date : 2023-03-01DOI: 10.1016/j.iliver.2023.02.001
Haoyu Wang, Fuquan Liu
{"title":"Clinical characteristics of hepatopulmonary syndrome and hepatorenal syndrome and associated therapeutic potential of transjugular intrahepatic portosystemic shunt","authors":"Haoyu Wang, Fuquan Liu","doi":"10.1016/j.iliver.2023.02.001","DOIUrl":"https://doi.org/10.1016/j.iliver.2023.02.001","url":null,"abstract":"<div><p>Hepatorenal syndrome (HRS) and hepatopulmonary syndrome (HPS) are two serious complications of liver disease, causing damage not only to the liver but also to the kidneys, lungs, and heart. HRS and HPS affect the patient's circulatory and respiratory systems, with poor prognosis and high mortality in clinical practice. There is a lack of effective treatment other than liver transplantation. Transjugular intrahepatic portosystemic shunt (TIPS) is an effective tool to prolong the survival of patients with advanced liver disease and is mainly used to treat portal hypertension and ascites because it can effectively reduce portal pressure. Studies on the treatment of both of these complications with TIPS are limited and deserve further study because the therapeutic effects of TIPS have the potential to improve the prognosis of severe liver disease. This article reviews the clinical features of HRS and HPS, the consequences of these syndromes, and the potential mechanistic effects after TIPS intervention.</p></div>","PeriodicalId":100657,"journal":{"name":"iLIVER","volume":"2 1","pages":"Pages 67-72"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49735247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
iLIVERPub Date : 2022-12-01DOI: 10.1016/j.iliver.2022.10.003
Wei Li , Xiaohua Jia , Lin Yin , Zhiyun Yang , Hui Hui , Jianlin Li , Wenhui Huang , Jie Tian , Shuixing Zhang
{"title":"Advances in magnetic particle imaging and perspectives on liver imaging","authors":"Wei Li , Xiaohua Jia , Lin Yin , Zhiyun Yang , Hui Hui , Jianlin Li , Wenhui Huang , Jie Tian , Shuixing Zhang","doi":"10.1016/j.iliver.2022.10.003","DOIUrl":"10.1016/j.iliver.2022.10.003","url":null,"abstract":"<div><p>Magnetic particle imaging (MPI) is an emerging technique to visualize the spatial distribution of superparamagnetic iron oxide with high temporal–spatial resolution, high sensitivity, unlimited image depth, and true quantitative information. MPI is based on the nonlinear response of superparamagnetic iron oxide in an alternating magnetic field without tissue background noise. It is a promising imaging modality for various applications, including vascular imaging, cell tracking, tumor imaging, and catheter navigation. Many applications of liver imaging could be improved or created with MPI. In this review, we cover the principle and construction of MPI, we evaluate the features and advantages of MPI with relation to its own rationale and via comparison with other imaging modalities, and we review MPI liver imaging applications with a view toward assisting hepatic researchers in drawing inspiration.</p></div>","PeriodicalId":100657,"journal":{"name":"iLIVER","volume":"1 4","pages":"Pages 237-244"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772947822000767/pdfft?md5=557fdc234ad773f7432f89ae049390ae&pid=1-s2.0-S2772947822000767-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91475252","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
iLIVERPub Date : 2022-12-01DOI: 10.1016/j.iliver.2022.11.003
Chenghao Ge , Mingjie Luo , Kaiyuan Guo , Dong Zhu , Ning Han , Tengjiao Wang , Xiuying Zhao
{"title":"Role of PIVKA-II in screening for malignancies at a hepatobiliary and pancreatic disease center: A large-scale real-world study","authors":"Chenghao Ge , Mingjie Luo , Kaiyuan Guo , Dong Zhu , Ning Han , Tengjiao Wang , Xiuying Zhao","doi":"10.1016/j.iliver.2022.11.003","DOIUrl":"10.1016/j.iliver.2022.11.003","url":null,"abstract":"<div><h3>Background and aims</h3><p>Protein induced by vitamin K absence or antagonist II (PIVKA-II) is a well-accepted biomarker for diagnosing hepatocellular carcinoma (HCC). Although nonspecific increase of PIVKA-II has been reported, real-world evidence remains scarce. Based on real-world data, this study aimed to comprehensively describe the use of PIVKA-II at a hepatobiliary and pancreatic disease center and to assess its utility for the initial screening of HCC or other hepatobiliary–pancreatic malignancies.</p></div><div><h3>Methods</h3><p>This real-world retrospective study is based on the PIVKA-II results of 16,215 individuals and other relevant laboratory test (alpha-fetoprotein [AFP], carbohydrate antigen 19-9 [CA19-9], liver function, blood coagulation indicators, hepatitis B virus, and hepatitis C virus). However, only the first PIVKA-II results of 7809 eligible individuals were included. Between-group comparisons, correlation analysis, and receiver operating characteristic curve analysis were performed.</p></div><div><h3>Results</h3><p>PIVKA-II results were abnormal in patients with HCC (55.9%), biliary carcinoma (BC, 13.4%), gastrointestinal and pancreatic cancer (6.3%), and benign diseases (23.5%) as well as in healthy individuals (0.92%). The area under the curve of PIVKA-II for detecting malignancies was 0.7754 (0.7620–0.7688), whereas that for detecting HCC was 0.7509 (0.7357–0.7662). Stratifying the PIVKA-II values or combining PIVKA-II with AFP or CA19-9 helped improve the diagnostic performance of PIVKA-II for HCC. PIVKA-II values were significantly positively correlated with AST in patients with HCC and with bilirubin in patients with BC.</p></div><div><h3>Conclusions</h3><p>This study determined the role of PIVKA-II in malignancy screening at hepatobiliary and pancreatic disease centers. It was also noted that the diagnostic efficacy of PIVKA-II for HCC improved after combining PIVKA-II with AFP or stratifying its value.</p></div>","PeriodicalId":100657,"journal":{"name":"iLIVER","volume":"1 4","pages":"Pages 209-216"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772947822000809/pdfft?md5=d96911fe459e869c4313d48045bc1477&pid=1-s2.0-S2772947822000809-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78400468","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
iLIVERPub Date : 2022-12-01DOI: 10.1016/j.iliver.2022.11.004
Tanvir Ahmad , Shahinul Alam , Saiful Islam , Golam Azam , Mahabubul Alam , SKM Nazmul Hasan , Golam Mustafa , Motahar Hossain , Md. Akmat Ali , Mobin Khan
{"title":"Position statement of Hepatology Society, Dhaka, Bangladesh, on the management of acute variceal bleeding in a resource-limited setting","authors":"Tanvir Ahmad , Shahinul Alam , Saiful Islam , Golam Azam , Mahabubul Alam , SKM Nazmul Hasan , Golam Mustafa , Motahar Hossain , Md. Akmat Ali , Mobin Khan","doi":"10.1016/j.iliver.2022.11.004","DOIUrl":"https://doi.org/10.1016/j.iliver.2022.11.004","url":null,"abstract":"<div><p>Variceal bleeding is one of the important signs of decompensation in patients with cirrhosis of the liver. It is always a medical emergency and sometimes results in death. Every year many patients die due to acute bleeding worldwide. The outcome depends on bleeding and its complications as well as the severity of the underlying liver disease. Careful volume resuscitation, administration of antibiotics and vasoactive drugs, and early endoscopic therapy prevent rebleeding and death. People living in rural areas are first referred to a district hospital from the Upazila health complex for any medical emergency. So, commencing the resuscitation process as well as administration of the vasoactive drug (terlipressin) at the first attending hospital before being referred to a higher center will decrease the mortality in patients presenting with acute variceal bleeding.</p></div>","PeriodicalId":100657,"journal":{"name":"iLIVER","volume":"1 4","pages":"Pages 205-208"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772947822000810/pdfft?md5=518728c8c62ab8fc335020f0a21afd13&pid=1-s2.0-S2772947822000810-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"92102380","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}