Evidence map›Paper›PMID 40277517›Full record

ReviewBiosensors2025

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 and 2 more

Abstract readReview
In one paragraph

Review in Biosensors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 3Oncology research · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Farah Abul RubCollege of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia.
Naseel MoursyCollege of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia.
Nouf AlhedeithyCollege of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia.
Juraij MohamedFaculty of Medicine, University of Colombo, Colombo 00800, Sri Lanka.
Zainab IfthikarCollege of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia.ORCID 0000-0002-6236-7583
Muhammad Affan ElahiCollege of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia.ORCID 0000-0002-6708-0143
Tanveer Ahmed MirCollege of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia.
Mati Ur RehmanDepartment of Biological and Biomedical Sciences, The Aga Khan University, Stadium Road, P.O. Box 3500, Karachi 74800, Pakistan.
Saima TariqDepartment of Obstetrics and Gynecology, Al Iman General Hospital, Ministry of Health, Riyadh 12684, Saudi Arabia.
Mubark AlabudahashStrathclyde Institute of Pharmacy and Biomedical Sciences (SIPBS), Glasgow G4 0RE, UK.
Raja ChinnappanCollege of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia.ORCID 0000-0002-2288-4287
Ahmed YaqinuddinCollege of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia.ORCID 0000-0001-7536-910X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Biosensing TechniquesEarly Detection of CancerOvarian NeoplasmsBiomarkers, TumorCA-125 AntigenFemaleHumansBiomarkers, TumorCA-125 Antigenbiosensorscancer biomarkerscancer diagnosisovarian cancer (OC)

Identifiers

PMID40277517
PMCPMC12024575

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.