{"title":"Tumor-selective dye-based histological electrophoresis enables intraoperative tumor diagnosis via tumor-specific enhancement.","authors":"Feiran Zhang, Jianing Cheng, Xu Peng, Chengbin Zhang, Limei Qu, Songling Zhang, Junhu Zhang, Shoujun Zhu","doi":"10.7150/thno.105500","DOIUrl":null,"url":null,"abstract":"<p><p>Solid 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. <b>Methods:</b> 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 and a three-dimensional (3D) histological electrophoresis separation strategy to visualize protein differences between tissues and exclude off-target interference. <b>Results:</b> 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. <b>Conclusion:</b> This rapid, accurate, unbiased, and marker-free approach may enhance intraoperative detection of multiple types of tumor specimens.</p>","PeriodicalId":22932,"journal":{"name":"Theranostics","volume":"15 5","pages":"2052-2068"},"PeriodicalIF":12.4000,"publicationDate":"2025-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11780519/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Theranostics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.7150/thno.105500","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
引用次数: 0
Abstract
Solid 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. Methods: 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 and a three-dimensional (3D) histological electrophoresis separation strategy to visualize protein differences between tissues and exclude off-target interference. Results: 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. Conclusion: This rapid, accurate, unbiased, and marker-free approach may enhance intraoperative detection of multiple types of tumor specimens.
期刊介绍:
Theranostics serves as a pivotal platform for the exchange of clinical and scientific insights within the diagnostic and therapeutic molecular and nanomedicine community, along with allied professions engaged in integrating molecular imaging and therapy. As a multidisciplinary journal, Theranostics showcases innovative research articles spanning fields such as in vitro diagnostics and prognostics, in vivo molecular imaging, molecular therapeutics, image-guided therapy, biosensor technology, nanobiosensors, bioelectronics, system biology, translational medicine, point-of-care applications, and personalized medicine. Encouraging a broad spectrum of biomedical research with potential theranostic applications, the journal rigorously peer-reviews primary research, alongside publishing reviews, news, and commentary that aim to bridge the gap between the laboratory, clinic, and biotechnology industries.