ReviewMikrochimica acta2020
Recent advancements in fabrication of nanomaterial based biosensors for diagnosis of ovarian cancer: a comprehensive review.
Review in Mikrochimica acta, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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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.
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.
Who cites it
12 citing papers in PubMed, 52 citations in OpenAlex.
- Modern Emerging Biosensing Methodologies for the Early Diagnosis and Screening of Ovarian Cancer.Biosensors · 2025Review
- Prediction of ovarian cancer using artificial intelligence tools.Health science reports · 2024Article
- Advancements in strategies for overcoming the blood-brain barrier to deliver brain-targeted drugs.Frontiers in aging neuroscience · 2024Review
- Nanobiosensors: Concepts and Emerging Clinical Applications.Pharmaceutical nanotechnology · 2024Review
- Ultra-high sensitive cancerous cells detection and sensing capabilities of photonic biosensor.Scientific reports · 2023Article
- Application of Various Optical and Electrochemical Nanobiosensors for Detecting Cancer Antigen 125 (CA-125): A Review.Biosensors · 2023Review
- Nanotechnological approaches for diagnosis and treatment of ovarian cancer: a review of recent trends.Drug delivery · 2022Review
- Multiple Biomarker Simultaneous Detection in Serum via a Nanomaterial-Functionalized Biosensor for Ovarian Tumor/Cancer Diagnosis.Micromachines · 2022Article
- Research Progress and Future Trends of Microfluidic Paper-Based Analytical Devices in In-Vitro Diagnosis.Biosensors · 2022Review
- An Overview on Recent Progress of Metal Oxide/Graphene/CNTs-Based Nanobiosensors.Nanoscale research letters · 2021Review
- Article
- Early diagonosis of ovarian cancer: serum HE4, CA125 and ROMA model.American journal of translational research · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Ovarian cancer is commonly diagnosed via determination of biomarkers like CA125, Mucin 1, HE4, and prostasin that can be present in the blood. However, there is a substantial need for less expensive, simpler, and portable diagnostic tools, both for timely diagnosis and management of ovarian cancer. This review (with 101 refs.) discusses various kinds of nanomaterial-based biosensors for tumor markers. Following an introduction into the field, a first section covers different kinds of biomarkers for ovarian cancer including CA125 (MUC16), mucin 1 (MUC1), human epididymis protein 4 (HE4), and prostasin. This is followed by a short overview on conventional diagnostic approaches. A large section is then presented on biosensors for determination of ovarian cancer, with subsections on optical biosensors (fluorimetric, colorimetric, surface plasmon resonance, chemiluminescence, electrochemiluminescence), on electrochemical sensors, molecularly imprinted sensors, paper-based biosensors, microfluidic (lab-on-a-chip) assays, chemiresistive and field effect transistor-based sensors, and giant magnetoresistive sensors. Tables are presented that give an overview on the wealth of methods and materials. A concluding section summarizes the current status, addresses current challenges, and gives an outlook on potential future trends. Graphical abstract Schematic representation of the review covering the advancements in the fabrication of various nanomaterial based biosensors for diagnosis of ovarian cancer.
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Registered trials
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.