ReviewMolecules (Basel, Switzerland)2022
Recent Progress in Biosensors for Detection of Tumor Biomarkers.
Review in Molecules (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 64 citations in OpenAlex.
- High-throughput Optical Analysis to Inform Design of Electrochemical Biosensors.ACS measurement science au · 2026Review
- Advances in nanomaterial-enhanced immunosensors for ultra-sensitive tumor marker detection: Enabling early cancer diagnostics.Frontiers in chemistry · 2026Review
- Advances in Cervical Cancer Diagnostics Based on Immunosensors: Innovative Approaches and Tumor Biomarkers.Current topics in medicinal chemistry · 2026Review
- Integration of circulating biomarkers and clinical factors: construction and validation of a prediction model for lung cancer metastasis.BMC pulmonary medicine · 2025Article
- Cancer and Aging Biomarkers: Classification, Early Detection Technologies and Emerging Research Trends.Biosensors · 2025Review
- Advances in carcinoembryonic antigen detection: a review of clinical applications and standardization.Analytical and bioanalytical chemistry · 2025Review
- Nanomaterials for Theranostic Management of Oral Cancer: Advances in Imaging, Biosensing, Targeted Delivery, and Multimodal Synergistic Therapy.International journal of nanomedicine · 2025Review
- αDiagnostics (Basel, Switzerland) · 2024Article
- Tumor biomarkers for diagnosis, prognosis and targeted therapy.Signal transduction and targeted therapy · 2024Review
- Faraday cage-type self-powered immunosensor based on hybrid enzymatic biofuel cell.Analytical and bioanalytical chemistry · 2023Article
- Quantum Biology and the Potential Role of Entanglement and Tunneling in Non-Targeted Effects of Ionizing Radiation: A Review and Proposed Model.International journal of molecular sciences · 2023Review
- Untargeted urinary metabolomics for bladder cancer biomarker screening with ultrahigh-resolution mass spectrometry.Scientific reports · 2023Article
- Value of serum tumor markers in early differential diagnosis of spinal tumors and spinal infections.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciencesArticle
Corrections and comments
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Authors and funding
14 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cancer is a leading cause of death worldwide, with an increasing mortality rate over the past years. The early detection of cancer contributes to early diagnosis and subsequent treatment. How to detect early cancer has become one of the hot research directions of cancer. Tumor biomarkers, biochemical parameters for reflecting cancer occurrence and progression have caused much attention in cancer early detection. Due to high sensitivity, convenience and low cost, biosensors have been largely developed to detect tumor biomarkers. This review describes the application of various biosensors in detecting tumor markers. Firstly, several typical tumor makers, such as neuron-specific enolase (NSE), carcinoembryonic antigen (CEA), prostate-specific antigen (PSA), squamous cell carcinoma antigen (SCCA), carbohydrate, antigen19-9 (CA19-9) and tumor suppressor p53 (TP53), which may be helpful for early cancer detection in the clinic, are briefly described. Then, various biosensors, mainly focusing on electrochemical biosensors, optical biosensors, photoelectrochemical biosensors, piezoelectric biosensors and aptamer sensors, are discussed. Specifically, the operation principles of biosensors, nanomaterials used in biosensors and the application of biosensors in tumor marker detection have been comprehensively reviewed and provided. Lastly, the challenges and prospects for developing effective biosensors for early cancer diagnosis are discussed.
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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.