{"title":"RNA biosensors for detection of pancreatic cancer","authors":"Mohammad-Jalil Zare-Mehrjardi , Mahtab Hatami-Araghi , Majid Jafari-Khorchani , Zahra Oushyani Roudsari , Mortaza Taheri-Anganeh , Mona Abdolrahmat , Hassan Ghasemi , Saleh Aiiashi","doi":"10.1016/j.cca.2025.120237","DOIUrl":null,"url":null,"abstract":"<div><div>Pancreatic cancer is recognized as one of the most lethal types of cancer globally, characterized by a high mortality rate and a bleak prognosis, which greatly contributes to cancer-related deaths. Forecasts suggest that by 2030, pancreatic cancer will exceed other cancer types in prevalence. The disease presents considerable difficulties owing to the lack of prominent symptoms in its early stages, restricted options for early detection, rapid progression, and unfavorable outcomes. Presently, traditional methods for diagnosing pancreatic cancer primarily rely on imaging techniques. However, these methods often entail significant costs, require considerable time, and necessitate specialized skills for both operating the equipment and interpreting the resulting images. To overcome these obstacles, the use of biosensors has been proposed as a potentially valuable tool for the early detection of pancreatic cancer. MicroRNAs (miRs), a type of small non-coding RNA molecules, have emerged as highly sensitive molecular diagnostic tools that have the potential to function as precise indicators for a range of diseases, including cancer. Biosensors have been suggested as a potential solution for tackling these challenges, offering a promising approach for the early detection of pancreatic cancer. Small non-coding RNA molecules known as MicroRNAs (miRs) have become recognized as extremely sensitive molecular diagnostic tools and can act as precise biomarkers for different diseases, such as cancer. Moreover, this manuscript presents a thorough summary of the latest innovations in nano-biosensors that have been specifically developed for the identification of non-coding RNAs related to pancreatic cancer.</div></div>","PeriodicalId":10205,"journal":{"name":"Clinica Chimica Acta","volume":"571 ","pages":"Article 120237"},"PeriodicalIF":3.2000,"publicationDate":"2025-03-11","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/S0009898125001160","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
Pancreatic cancer is recognized as one of the most lethal types of cancer globally, characterized by a high mortality rate and a bleak prognosis, which greatly contributes to cancer-related deaths. Forecasts suggest that by 2030, pancreatic cancer will exceed other cancer types in prevalence. The disease presents considerable difficulties owing to the lack of prominent symptoms in its early stages, restricted options for early detection, rapid progression, and unfavorable outcomes. Presently, traditional methods for diagnosing pancreatic cancer primarily rely on imaging techniques. However, these methods often entail significant costs, require considerable time, and necessitate specialized skills for both operating the equipment and interpreting the resulting images. To overcome these obstacles, the use of biosensors has been proposed as a potentially valuable tool for the early detection of pancreatic cancer. MicroRNAs (miRs), a type of small non-coding RNA molecules, have emerged as highly sensitive molecular diagnostic tools that have the potential to function as precise indicators for a range of diseases, including cancer. Biosensors have been suggested as a potential solution for tackling these challenges, offering a promising approach for the early detection of pancreatic cancer. Small non-coding RNA molecules known as MicroRNAs (miRs) have become recognized as extremely sensitive molecular diagnostic tools and can act as precise biomarkers for different diseases, such as cancer. Moreover, this manuscript presents a thorough summary of the latest innovations in nano-biosensors that have been specifically developed for the identification of non-coding RNAs related to pancreatic cancer.
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.