Modern Emerging Biosensing Methodologies for the Early Diagnosis and Screening of Ovarian Cancer

Farah Abul Rub, Naseel Moursy, Nouf Alhedeithy, Juraij Mohamed, Zainab Ifthikar, Muhammad Affan Elahi, Tanveer Ahmed Mir, Mati Ur Rehman, Saima Tariq, Mubark Alabudahash, Raja Chinnappan, Ahmed Yaqinuddin

Research output: Contribution to journalReview articlepeer-review

4 Citations (Scopus)

Abstract

Ovarian cancer (OC) is one of the leading causes of gynecological cancer-related death worldwide. Late diagnosis at advanced stages of OC is the reason for a higher mortality rate. Earlier diagnosis and proper treatment are important for improving the prognosis of OC patients. Biosensors offer accurate, low-cost, rapid, and user-friendly devices that can be employed for the detection of OC-specific biomarkers in the early stage. Therefore, it is important to consider the potential biomarkers in the biological fluids to confirm the OC prognosis. Out of many biomarkers, the most commonly tested clinically is cancer antigen 125 (CA-125). However, CA-125 is considered to be a poor biomarker for OC diagnosis. Several biosensing methods were developed for the sensitive and quantitative detection of each biomarker. In abnormal expression in OC patients, nucleic acids, enzymes, cells, and exosomes are used as target biomarkers for the construction of biosensors. This review focuses on the development for the detection of various biomarkers using multiple biosensing methods. Here, we describe the origin and the significance of OC-associated biomarkers, the working principle of biosensors, and the classification of biosensors based on their recognition elements and signal transducers. The modes of detection and sensitivity of the sensors are discussed. Finally, the challenges in the fabrication, obstacles in the clinical application, and future prospects are discussed.

Original languageEnglish (US)
Article number203
JournalBiosensors
Volume15
Issue number4
DOIs
Publication statusPublished - Apr 2025

Keywords

  • biosensors
  • cancer biomarkers
  • cancer diagnosis
  • ovarian cancer (OC)

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