ArticleProteomics2016
Sweet characterisation of prostate specific antigen using electrochemical lectin-based immunosensor assay and MALDI TOF/TOF analysis: Focus on sialic acid.
Article in Proteomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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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
15 citing papers in PubMed.
- Comprehensive Biochemical Insights into Prostate-Specific Antigen: From Biomarker to Functional Mediator in Prostate Cancer Pathophysiology.Anti-cancer agents in medicinal chemistry · 2026Review
- Serum Sialic Acid as a Biomarker of Inflammation and Infection: Insights From Veterinary Medicine.Veterinary medicine international · 2026Review
- Interdigitated impedimetric-based Maackia amurensis lectin biosensor for prostate cancer biomarker.Mikrochimica acta · 2024Article
- Glycoprofiling of proteins as prostate cancer biomarkers: A multinational population study.PloS one · 2024Article
- Pretreatment level of serum sialic acid predicts both qualitative and quantitative bone metastases of prostate cancer.Frontiers in endocrinology · 2024Review
- Glycan-Based Electrochemical Biosensors: Promising Tools for the Detection of Infectious Diseases and Cancer Biomarkers.Molecules (Basel, Switzerland) · 2022Review
- Validating fPSA Glycoprofile as a Prostate Cancer Biomarker to Avoid Unnecessary Biopsies and Re-Biopsies.Cancers · 2020Article
- Structure-function and application of plant lectins in disease biology and immunity.Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association · 2019Review
- Advanced impedimetric biosensor configuration and assay protocol for glycoprofiling of a prostate oncomarker using Au nanoshells with a magnetic core.Biosensors & bioelectronics · 2019Article
- Glycomics of prostate cancer: updates.Expert review of proteomics · 2019Article
- A Rapid Method for the Detection of Sarcosine Using SPIONs/Au/CS/SOX/NPs for Prostate Cancer Sensing.International journal of molecular sciences · 2018Article
- Label-free chronopotentiometric glycoprofiling of prostate specific antigen using sialic acid recognizing lectins.Bioelectrochemistry (Amsterdam, Netherlands) · 2017Article
- Full-length antibodies versus single-chain antibody fragments for a selective impedimetric lectin-based glycoprofiling of prostate specific antigen.Electrochimica acta · 2017Article
- Nanomaterial-based biosensors for detection of prostate specific antigen.Mikrochimica acta · 2017Review
- Nanotechnology in Glycomics: Applications in Diagnostics, Therapy, Imaging, and Separation Processes.Medicinal research reviews · 2017Review
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
The construction of a sensitive electrochemical lectin-based immunosensor for detection of a prostate specific antigen (PSA) is shown here. Three lectins with different carbohydrate specificities were used in this study to glycoprofile PSA, which is the most common biomarker for prostate cancer (PCa) diagnosis. The biosensor showed presence of α-L-fucose and α-(2,6)-linked terminal sialic acid within PSA´s glycan with high abundance, while only traces of α-(2,3)-linked terminal sialic acid were found. MALDI TOF/TOF mass spectrometry was applied to validate results obtained by the biosensor with a focus on determination of a type of sialic acid linkage by two methods. The first direct comparison of electrochemical immunosensor assay employing lectins for PSA glycoprofiling with mass spectrometric techniques is provided here and both methods show significant agreement. Thus, electrochemical lectin-based immunosensor has potential to be applied for prostate cancer diagnosis.
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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.