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Applications of Biosensors in Bladder Cancer.
Cheng, Kun; Wan, Shun; Yang, Jian-Wei; Chen, Si-Yu; Wang, Hai-Long; Xu, Chang-Hong; Qiao, Si-Hang; Li, Xiao-Ran; Li, Yang.
Affiliation
  • Cheng K; Department of Urology, Lanzhou University Second Hospital, Lanzhou, P.R. China.
  • Wan S; Gansu Province Clinical Research Center for Urology, Lanzhou, P.R. China.
  • Yang JW; Department of Urology, Lanzhou University Second Hospital, Lanzhou, P.R. China.
  • Chen SY; Gansu Province Clinical Research Center for Urology, Lanzhou, P.R. China.
  • Wang HL; Department of Urology, Lanzhou University Second Hospital, Lanzhou, P.R. China.
  • Xu CH; Gansu Province Clinical Research Center for Urology, Lanzhou, P.R. China.
  • Qiao SH; Department of Urology, Lanzhou University Second Hospital, Lanzhou, P.R. China.
  • Li XR; Gansu Province Clinical Research Center for Urology, Lanzhou, P.R. China.
  • Li Y; Department of Urology, Lanzhou University Second Hospital, Lanzhou, P.R. China.
Crit Rev Anal Chem ; : 1-20, 2024 Jul 08.
Article in En | MEDLINE | ID: mdl-38978228
ABSTRACT
Bladder cancer (BC) is the tenth most common cancer globally, predominantly affecting men. Early detection and treatment are crucial due to high recurrence rates and poor prognosis for advanced stages. Traditional diagnostic methods like cystoscopy and imaging have limitations, leading to the exploration of noninvasive methods such as liquid biopsy. This review highlights the application of biosensors in BC, including electrochemical and optical sensors for detecting tumor markers like proteins, nucleic acids, and other biomolecules, noting their clinical relevance. Emerging therapeutic approaches, such as antibody-drug conjugates, targeted therapy, immunotherapy, and gene therapy, are also explored, the role of biosensors in detecting corresponding biomarkers to guide these treatments is examined. Finally, the review addresses the current challenges and future directions for biosensor applications in BC, highlighting the need for large-scale clinical trials and the integration of advanced technologies like deep learning to enhance diagnostic accuracy and treatment efficacy.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Crit Rev Anal Chem Year: 2024 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Crit Rev Anal Chem Year: 2024 Document type: Article