ReviewBMC chemistry2019
Graphene-based biosensors for the detection of prostate cancer protein biomarkers: a review.
Review in BMC chemistry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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.
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Who cites it
14 citing papers in PubMed.
- Recent Advances in Graphene-Based Field-Effect Transistor Biosensors for Disease Biomarker Detection and Clinical Prospects.Biosensors · 2026Review
- Electrochemical Biosensors for Cancer Diagnosis and Prognosis Using Protein Biomarkers: Current Trends, Advances, and Clinical Translation Potential.Sensors (Basel, Switzerland) · 2026Review
- Electrochemical Detection of Cancer Biomarkers: From Molecular Sensing to Clinical Translation.Biosensors · 2026Review
- Graphene-Bacteriophage Hybrid Nanomaterials for Specific and Rapid Electrochemical Detection of Pathogenic Bacteria.Biosensors · 2025Review
- Recent advances in graphene-based electroanalytical devices for healthcare applications.Nanoscale · 2024Review
- Metallic nanostructure-based aptasensors for robust detection of proteins.Nanoscale advances · 2024Review
- Proteolytic Biosensors with Functional Nanomaterials: Current Approaches and Future Challenges.Biosensors · 2023Review
- Carbon nanostructures: a comprehensive review of potential applications and toxic effects.3 Biotech · 2022Review
- Graphene-Based Biosensors for Molecular Chronic Inflammatory Disease Biomarker Detection.Biosensors · 2022Review
- Recent advances in the potential applications of luminescence-based, SPR-based, and carbon-based biosensors.Applied microbiology and biotechnology · 2022Review
- 2D Material-Based Optical Biosensor: Status and Prospect.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022Review
- Advanced nanoengineered-customized point-of-care tools for prostate-specific antigen.Mikrochimica acta · 2021Review
- Design Strategies for Electrochemical Aptasensors for Cancer Diagnostic Devices.Sensors (Basel, Switzerland) · 2021Review
- Microfluidic electrochemical immunosensor for the determination of cystatin C in human serum.Mikrochimica acta · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Prostate cancer (PC) is the sixth most common cancer type in the world, which causes approximately 10% of total cancer fatalities. The detection of protein biomarkers in body fluids is the key topic for the diagnosis and prognosis of PC. Highly sensitive screening of PC is the most effective approach for reducing mortality. Thus, there are a growing number of literature that recognizes the importance of new technologies for early diagnosis of PC. Graphene is playing an important role in the biosensor field with remarkable physical, optical, electrochemical and magnetic properties. Many recent studies demonstrated the potential of graphene materials for sensitive detection of protein biomarkers. In this review, the graphene-based biosensors toward PC analysis are mainly discussed in two groups: Firstly, novel biosensor interfaces were constructed through the modification of graphene materials onto sensor surfaces. Secondly, ingenious signal amplification strategies were developed using graphene materials as catalysts or carriers. Graphene-based biosensors have exhibited remarkable performance with high sensitivities, wide detection ranges, and long-term stabilities.
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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.