{"title":"Non-coding RNA biosensors for early detection of brain cancer","authors":"Yousof karami , Sajad Ehtiati , Hassan Ghasemi , Maedeh Rafiee , Maryam Zamani Sani , Seyed Edris Hosseini , Hossein Moradi Kazerouni , Ahmad Movahedpour , Saleh Aiiashi , Seyyed Hossein Khatami","doi":"10.1016/j.cca.2024.120041","DOIUrl":null,"url":null,"abstract":"<div><div>Brain cancer remains a formidable challenge with limited treatment options. Non-coding RNAs (ncRNAs) have emerged as promising biomarkers due to their dysregulation in tumorigenesis. This review explores the potential of biosensors for early detection of brain cancer by targeting ncRNAs. We discuss the classification and functions of ncRNAs, emphasizing their involvement in key cancer-related processes. Additionally, we delve into recent advancements in biosensor technology, focusing on their ability to accurately detect specific ncRNA biomarkers associated with brain cancer. Our findings underscore the potential of biosensors to revolutionize brain cancer diagnosis, enabling personalized medicine and improving patient outcomes. Future research should focus on refining biosensor technology and expanding their clinical application.</div></div>","PeriodicalId":10205,"journal":{"name":"Clinica Chimica Acta","volume":"566 ","pages":"Article 120041"},"PeriodicalIF":3.2000,"publicationDate":"2024-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinica Chimica Acta","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0009898124022940","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MEDICAL LABORATORY TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Brain cancer remains a formidable challenge with limited treatment options. Non-coding RNAs (ncRNAs) have emerged as promising biomarkers due to their dysregulation in tumorigenesis. This review explores the potential of biosensors for early detection of brain cancer by targeting ncRNAs. We discuss the classification and functions of ncRNAs, emphasizing their involvement in key cancer-related processes. Additionally, we delve into recent advancements in biosensor technology, focusing on their ability to accurately detect specific ncRNA biomarkers associated with brain cancer. Our findings underscore the potential of biosensors to revolutionize brain cancer diagnosis, enabling personalized medicine and improving patient outcomes. Future research should focus on refining biosensor technology and expanding their clinical application.
期刊介绍：
The Official Journal of the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC)
Clinica Chimica Acta is a high-quality journal which publishes original Research Communications in the field of clinical chemistry and laboratory medicine, defined as the diagnostic application of chemistry, biochemistry, immunochemistry, biochemical aspects of hematology, toxicology, and molecular biology to the study of human disease in body fluids and cells.
The objective of the journal is to publish novel information leading to a better understanding of biological mechanisms of human diseases, their prevention, diagnosis, and patient management. Reports of an applied clinical character are also welcome. Papers concerned with normal metabolic processes or with constituents of normal cells or body fluids, such as reports of experimental or clinical studies in animals, are only considered when they are clearly and directly relevant to human disease. Evaluation of commercial products have a low priority for publication, unless they are novel or represent a technological breakthrough. Studies dealing with effects of drugs and natural products and studies dealing with the redox status in various diseases are not within the journal''s scope. Development and evaluation of novel analytical methodologies where applicable to diagnostic clinical chemistry and laboratory medicine, including point-of-care testing, and topics on laboratory management and informatics will also be considered. Studies focused on emerging diagnostic technologies and (big) data analysis procedures including digitalization, mobile Health, and artificial Intelligence applied to Laboratory Medicine are also of interest.
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