{"title":"基于智能 DNA 传感器的癌症亚型分子识别技术","authors":"Yingying Gao, Mengyi Xiong, Chaonan Gong, Bo Wang, Longwei Bai, Xiao-Bing Zhang","doi":"10.1002/smo.20230020","DOIUrl":null,"url":null,"abstract":"Molecular subtyping of cancer can greatly help to understand the development of disease and predict tumor behavior. Exploring detection methods for precise subtyping is appealing to prognosis and personalized therapy. During the past decades, DNA-based biosensors have exhibited great potential in cancer diagnosis due to their structural programmability and functional diversity. Despite the encouraging progress that has been made, there remains an issue in improving the accuracy and sensitivity of cancer subtyping due to the complex process of disease, especially in preclinical or clinical applications. To accelerate the development of DNA sensors in the identification of cancer subtypes, in this review, we summarized their advances in molecular subtyping by analyzing the heterogeneity in categories and levels of biomarkers between cancer subtypes. The strategies toward genomic and proteomic heterogeneity in cells or on the cell surface, as well as the cancer excretions including extracellular vesicles (EVs) and microRNA (miRNAs) in serum, are summarized. Current challenges and the opportunities of DNA-based sensors in this field are also discussed.","PeriodicalId":501601,"journal":{"name":"Smart Molecules","volume":"23 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Smart DNA sensors-based molecular identification for cancer subtyping\",\"authors\":\"Yingying Gao, Mengyi Xiong, Chaonan Gong, Bo Wang, Longwei Bai, Xiao-Bing Zhang\",\"doi\":\"10.1002/smo.20230020\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Molecular subtyping of cancer can greatly help to understand the development of disease and predict tumor behavior. Exploring detection methods for precise subtyping is appealing to prognosis and personalized therapy. During the past decades, DNA-based biosensors have exhibited great potential in cancer diagnosis due to their structural programmability and functional diversity. Despite the encouraging progress that has been made, there remains an issue in improving the accuracy and sensitivity of cancer subtyping due to the complex process of disease, especially in preclinical or clinical applications. To accelerate the development of DNA sensors in the identification of cancer subtypes, in this review, we summarized their advances in molecular subtyping by analyzing the heterogeneity in categories and levels of biomarkers between cancer subtypes. The strategies toward genomic and proteomic heterogeneity in cells or on the cell surface, as well as the cancer excretions including extracellular vesicles (EVs) and microRNA (miRNAs) in serum, are summarized. Current challenges and the opportunities of DNA-based sensors in this field are also discussed.\",\"PeriodicalId\":501601,\"journal\":{\"name\":\"Smart Molecules\",\"volume\":\"23 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-12-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Smart Molecules\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1002/smo.20230020\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Smart Molecules","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/smo.20230020","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
癌症的分子亚型对了解疾病的发展和预测肿瘤的行为有很大帮助。探索精确亚型的检测方法对预后和个性化治疗很有吸引力。在过去几十年中,基于 DNA 的生物传感器因其结构可编程性和功能多样性而在癌症诊断中展现出巨大潜力。尽管已经取得了令人鼓舞的进展,但由于疾病过程复杂,尤其是在临床前或临床应用中,提高癌症亚型鉴定的准确性和灵敏度仍是一个问题。为了加快 DNA 传感器在癌症亚型鉴定方面的发展,我们在本综述中通过分析癌症亚型之间生物标志物类别和水平的异质性,总结了他们在分子亚型鉴定方面的进展。本文总结了针对细胞内或细胞表面基因组和蛋白质组异质性以及癌症排泄物(包括细胞外囊泡(EV)和血清中的微RNA(miRNA))的策略。还讨论了基于 DNA 的传感器在这一领域目前面临的挑战和机遇。
Smart DNA sensors-based molecular identification for cancer subtyping
Molecular subtyping of cancer can greatly help to understand the development of disease and predict tumor behavior. Exploring detection methods for precise subtyping is appealing to prognosis and personalized therapy. During the past decades, DNA-based biosensors have exhibited great potential in cancer diagnosis due to their structural programmability and functional diversity. Despite the encouraging progress that has been made, there remains an issue in improving the accuracy and sensitivity of cancer subtyping due to the complex process of disease, especially in preclinical or clinical applications. To accelerate the development of DNA sensors in the identification of cancer subtypes, in this review, we summarized their advances in molecular subtyping by analyzing the heterogeneity in categories and levels of biomarkers between cancer subtypes. The strategies toward genomic and proteomic heterogeneity in cells or on the cell surface, as well as the cancer excretions including extracellular vesicles (EVs) and microRNA (miRNAs) in serum, are summarized. Current challenges and the opportunities of DNA-based sensors in this field are also discussed.