[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-371230-105":59,"doc-detail-371230-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","tumor-selective-dye-based-histological-electrophoresis-enables-intraoperative-tumor-diagnosis-via-tumor-specific-enhancement-research-paper","Tumor-selective dye-based histological electrophoresis enables intraoperative tumor diagnosis via tumor-specific enhancement - Research Paper","","Solid tissue biopsy is fundamental for guiding intraoperative and peri-operative cancer management, yet conventional histopathologic workflows rely on trained pathologists and can face limits in accuracy and efficiency. A tumor-selective dye strategy provides unbiased protein labeling in tissue sections and strengthens tumor-specific signals. Coupled with three-dimensional histological electrophoresis, the method differentiates tumors from normal tissues in under 45 minutes. It achieves robust diagnosis on frozen and fresh specimens and enables delineation of malignant tissue and quantification of inflammation-related features.",{"@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/tumor-selective-dye-based-histological-electrophoresis-enables-intraoperative-tumor-diagnosis-via-tumor-specific-enhancement-research-paper/371230/",{"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/tumor-selective-dye-based-histological-electrophoresis-enables-intraoperative-tumor-diagnosis-via-tumor-specific-enhancement-research-paper/371230.png","ImageObject",300,407,{"name":92,"@type":93},"Emma Wilson","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-31","2026-09-23",true,{"@type":102,"interactionType":103,"userInteractionCount":39},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What problem does the paper aim to solve in intraoperative tumor diagnosis?","Question",{"text":112,"@type":113},"It targets the time-intensive and expertise-dependent nature of conventional intraoperative pathology, where accuracy and efficiency can be limited when diagnosing multiple cancer types during surgery.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"What is the key method proposed by the authors?",{"text":117,"@type":113},"The approach uses tumor-selective dyes to label proteins within tissue sections, enhancing tumor-specific signals, and combines this with three-dimensional histological electrophoresis to separate protein differences.",{"name":119,"@type":110,"acceptedAnswer":120},"How fast and how accurately can this method diagnose tumors?",{"text":121,"@type":113},"The diagnostic workflow enables robust differentiation of tumors from normal tissues in less than 45 minutes, with results reported as mean AUC = 0.93 across 34 patients and six cancer types.","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},371230,1790269337,{"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":39,"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},3848291630094,"https://eur-avatar.wpscdn.com/davatar_085a072bc5b1113ac321206ff7593b45","Ivyspring  \nInternational Publisher  \nTheranostics  \n2025; 15(5): 2052-2068. doi: 10.7150/thno.105500  \nResearch Paper  \nTumor-selective dye-based histological electrophoresis enables intra operative tumor diagnosis via  \ntumor-specific enhancement  \nFeiran Zhang1,2, Jianing Cheng1,2, Xu Peng1,3, Chengbin Zhang4, Limei Qu4􀀍, Songling Zhang5􀀍, Junhu Zhang1,2􀀍, Shoujun Zhu1,2􀀍  \n1. Joint Laboratory of Opto-Functional Theranostics in Medicine and Chemistry, The First Hospital of Jilin University, Changchun 130021, P. R. China  \n2. State Key Laboratory of Supramolecular Structure and Materials, Center for Supramolecular Chemical Biology, College of Chemistry, Jilin University, Changchun 130012, P. R. China  \n3. Department of Hepatobiliary and Pancreatic Surgery, The First Hospital of Jilin University, Changchun 130021, P. R. China  \n4. Department of Pathology, The First Hospital of Jilin University, Changchun 130021, P. R. China.  \n5. Department of Obstetrics and Gynecology, The First Hospital of Jilin University, Changchun 130021, P. R. China.  \n􀀍 Corresponding authors: [qulm@jlu.edu.cn](qulm@jlu.edu.cn), [slzhang@jlu.edu.cn](slzhang@jlu.edu.cn), [zjh@jlu.edu.cn](zjh@jlu.edu.cn), [sjzhu@jlu.edu.cn](sjzhu@jlu.edu.cn).  \n© The author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License ([https://creativecommons.org/licenses/by/4.0/](https://creativecommons.org/licenses/by/4.0/)). See [https://ivyspring.com/terms](https://ivyspring.com/terms) for full terms and conditions.  \nReceived: 2024.10.19; Accepted: 2024.12.09; Published: 2025.01.06  \nAbstract  \nSolid tissue biopsy is fundamental in guiding surgeons during intraoperative and peri-operative management of cancer patients. However, conventional histopathologic methods depend heavily on the expertise of trained pathologists, facing challenges in accuracy and efficiency.  \nMethods: Here, we show that unbiased labeling of proteins within tissue sections using tumor-selective dyes enhances tumor-specific signals, enabling robust and accurate differentiation of tumors from normal tissues in less than 45 min. This diagnostic approach combines a tumor-selective dye labeling strategy anda three-dimensional (3D) histological electrophoresis separation strategy to visualize protein differences between tissues and exclude off-target interference.  \nResults: We successfully diagnose and delineate malignant tissue from frozen and fresh surgical specimens from 34 patients across six types of cancer (mean AUC = 0.93). Furthermore, we apply this method to distinguish different histological characteristics in liver cancer surgical specimens, as well as identify and quantify the degree of inflammation in tumor-surrounding tissues.  \nConclusion: This rapid, accurate, unbiased, and marker-free approach may enhance intraoperative detection of multiple types of tumor specimens.  \nKeywords: Three-dimensional histological electrophoresis, Cancer diagnosis, Tumor-seeking dye  \nIntroduction  \nDuring tumor surgery, rapid and accurate histopathological diagnosis is essential for clinical decisions. However, the conventional method of intraoperative consultation pathology is intensive in time, labor, and costs, and relies heavily on the expertise of trained pathologists. Deep learning tools have achieved performance levels comparable to pathologists in certain diagnostic tasks [1-4] . However, deep learning models are typically trained for specific diagnostic tasks, which means a single  \nmodel cannot handle the complex clinical pathological work [5-8] . This limitation makes them less competitive in intraoperative settings where the analysis of multiple types of cancer is required. Fluorescent probes have produced promising outcomes in enhancing the differentiation between tumors and normal tissues both in vivo and ex vivo. In vivo, fluorescent probes are used to guide surgical resection of solid tumors in real time [9-11] . The US Food and Drug Adminis","cbCaia5gfywOoOii","https://ap.wps.com/l/cbCaia5gfywOoOii","pdf",7945892,17,"English","# Abstract\n# Introduction\n## Intraoperative histopathology challenges\n## Limits of deep learning in complex clinical tasks\n## Fluorescent probes and their tumor specificity constraints\n## Toward unbiased, marker-free protein differentiation","[{\"question\":\"What problem does the paper aim to solve in intraoperative tumor diagnosis?\",\"answer\":\"It targets the time-intensive and expertise-dependent nature of conventional intraoperative pathology, where accuracy and efficiency can be limited when diagnosing multiple cancer types during surgery.\"},{\"question\":\"What is the key method proposed by the authors?\",\"answer\":\"The approach uses tumor-selective dyes to label proteins within tissue sections, enhancing tumor-specific signals, and combines this with three-dimensional histological electrophoresis to separate protein differences.\"},{\"question\":\"How fast and how accurately can this method diagnose tumors?\",\"answer\":\"The diagnostic workflow enables robust differentiation of tumors from normal tissues in less than 45 minutes, with results reported as mean AUC = 0.93 across 34 patients and six cancer types.\"}]","Tumor-selective dye-based histological electrophoresis enables intraoperative tumor diagnosis via tumor-specific enhancement - Research Paper | PDF",1790191576,43]