[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-368219-105":59,"doc-detail-368219-en":130},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":123,"head_meta":125,"extra_data":127,"updated_unix":129},105,"en","identification-of-the-entosis-related-prognostic-signature-and-tumour-microenvironment-in-hepatocellular-carcinoma-read-online-free","Identification of the entosis-related prognostic signature and tumour microenvironment in hepatocellular carcinoma - read online free","","Liver cancer remains one of the most lethal cancers worldwide, and the recently uncovered cell-death process entosis has not been fully clarified in hepatocellular carcinoma (HCC). The study used bioinformatics to analyze expression and mutational landscapes of entosis-related genes (ERGs), then derived differentially expressed ERGs and built an entosis risk model using LASSO and Cox regression. The model was linked to immune and tumour microenvironment features, differential drug sensitivity, and immunotherapy efficacy, then validated using qRT-PCR and Western blot. A four-gene signature (KIF18A, SPP1, LCAT, TRIB3) predicted survival and showed distinct immune/stroma and cancer stem cell patterns between risk groups.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":35,"@type":76,"position":81},"https://docshare.wps.com/document/healthcare/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/identification-of-the-entosis-related-prognostic-signature-and-tumour-microenvironment-in-hepatocellular-carcinoma-read-online-free/368219/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/identification-of-the-entosis-related-prognostic-signature-and-tumour-microenvironment-in-hepatocellular-carcinoma-read-online-free/368219.png","ImageObject",300,407,{"name":92,"@type":93},"Ivy","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-31","2026-09-23",true,{"@type":102,"interactionType":103,"userInteractionCount":44},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What was the purpose of constructing the entosis-related prognostic signature in HCC?","Question",{"text":112,"@type":113},"To determine how entosis-related genes relate to prognosis and the tumour microenvironment in hepatocellular carcinoma, enabling survival prediction and insight into treatment response.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"How was the risk model for entosis built in the study?",{"text":117,"@type":113},"Differentially expressed entosis-related genes were selected after bioinformatics analysis, then a risk model was constructed using LASSO and Cox regression.",{"name":119,"@type":110,"acceptedAnswer":120},"What genes form the final prognostic signature, and how did risk groups differ?",{"text":121,"@type":113},"The model comprises four genes: KIF18A, SPP1, LCAT, and TRIB3. Low-risk patients showed more favourable survival, while high-risk patients had altered tumour stroma/immune features, higher cancer stem cell proportion, and increased tumour mutation burden.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},368219,1791048725,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":34,"category_name":35,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":44,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":139,"language":140,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":67,"update_tm":144,"read_time":145},549758252649,"https://ap-avatar.wpscdn.com/avatar/8000253669c5317157?_k=1778319167496531819","Clinical and Experimental Medicine (2025) 25:55 [https://doi.org/10.1007/s10238-025-01580-8](https://doi.org/10.1007/s10238-025-01580-8)  \nIdentification of the entosis‑related prognostic signature and tumour microenvironment in hepatocellular carcinoma on the basis of bioinformatics analysis and experimental validation  \nChen Wu1 · Shixu Fang1 · Liangliang Wu1 · Zhengcheng Mi1 · Yao Yin1 · Yuan Liao1 · Yongxiang Zhao1 · Tinghua Wang2 · Jintong Na1  \nReceived: 10 December 2024 / Accepted: 28 January 2025 / Published online: 12 February 2025 © The Author(s) 2025  \nAbstract  \nLiver cancer ranks among the deadliest cancers worldwide. Entosis, a recently uncovered method of cell death, has not yet been fully explored for its relevance to HCC. A bioinformatics analysis was performed to determine the expression and mutational landscapes of Entosis-related genes (ERGs). A subset of differentially expressed Entosis-related genes (DEERGs) was generated. A risk model for entosis was subsequently constructed employing LASSO and Cox regression methodologies. The correlations among ERGs, genes associated with risk, the developed risk model, and the immune context of the tumour were explored. Furthermore, the study investigated the varying drug sensitivities between high-risk and slight-risk patient groups. The expression patterns of four pivotal risk genes were delineated via qRT‒PCR and WB. A prognostic model comprising four DEERGs (KIF18A, SPP1, LCAT and TRIB3) was developed. The ability of this model to predict the survival outcomes of patients with HCC was confirmed through receiver operating characteristic curve analysis. Patients were grouped according to their risk assessments, revealing that the low-risk population demonstrated a more favourable survival outcome than did the high-risk population. The high-risk population presented reduced tumour stroma, immune and ESTIMATE scores, along with an increased proportion of cancer stem cells and tumour mutation burden. Additionally, a connection between the risk model and the responsiveness of various chemotherapy drugs as well as the efficacy of immunotherapies in patients was noted. These findings provide significant guidance for the development of targeted clinical treatment strategies. qRT‒PCR and WB analysis revealed that the gene expression of KIF18A and SPP1 were elevated in HCCLM3 cells compared with that in THLE2 cells; whereas, the expression level of LCAT and TIRB3 was decreased. The four genes KIF18A, SPP1, LCAT and TRIB3 could effectively predict the survival prognosis of patients with liver cancer. KIF18A and SPP1 were elevated in HCC tissues compared with that in THLE2 cells.  \nKeywords Entosis · Hepatocellular carcinoma · Tumour microenvironment · Prognostic signature  \nChen Wu and Shixu Fang have contributed equally to this study asco-author.  \n* Tinghua Wang [wangtinghua@vip.163.com](wangtinghua@vip.163.com)  \n* Jintong Na[najintong@sr.gxmu.edu.cn](najintong@sr.gxmu.edu.cn)  \n1 State Key Laboratory of Targeting Oncology, National Center for International Research of Bio-targeting Theranostics, Guangxi Key Laboratory of Bio-Targeting Theranostics, Collaborative Innovation Center for Targeting Tumor Diagnosis and Therapy, Guangxi Medical University, Nanning, Guangxi 530021, China  \n2 Laboratory Animal Department, Kunming Medical University, Kunming 650031, Yunnan, China  \nIntroduction  \nLiver cancer poses a significant threat to people worldwide every year, as evidenced by epidemiological data showing that in 2020, nearly 9 million new cases of liver cancer were diagnosed, resulting in approximately 8.3 million deaths globally [1–3] . The preferred treatments for HCC patients include surgical interventions, organ transplantation, targeted drug therapies, molecular therapies and transarterial chemoembolization (TACE) [4–6] . Over time, a comprehensive understanding of the molecular mechanisms of liver cancer has been achieved, and targeted therapy and immunotherapy have be","cbCairwzXsatxzCK","https://ap.wps.com/l/cbCairwzXsatxzCK","pdf",10648684,15,"English","# Abstract\n## Methods: bioinformatics and model construction\n## Validation and prognostic performance\n## Risk stratification and microenvironment findings\n## Drug sensitivity and immunotherapy linkage\n# Introduction\n## Current treatments for HCC and limitations\n## Cell-death pathways and entosis background","[{\"question\":\"What was the purpose of constructing the entosis-related prognostic signature in HCC?\",\"answer\":\"To determine how entosis-related genes relate to prognosis and the tumour microenvironment in hepatocellular carcinoma, enabling survival prediction and insight into treatment response.\"},{\"question\":\"How was the risk model for entosis built in the study?\",\"answer\":\"Differentially expressed entosis-related genes were selected after bioinformatics analysis, then a risk model was constructed using LASSO and Cox regression.\"},{\"question\":\"What genes form the final prognostic signature, and how did risk groups differ?\",\"answer\":\"The model comprises four genes: KIF18A, SPP1, LCAT, and TRIB3. Low-risk patients showed more favourable survival, while high-risk patients had altered tumour stroma/immune features, higher cancer stem cell proportion, and increased tumour mutation burden.\"}]","Identification of the entosis-related prognostic signature and tumour microenvironment in hepatocellular carcinoma - read online free | PDF",1790175714,38]