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Published on: August 1, 2018
Signal Amplification-Based Biosensors and Application in RNA Tumor Markers
Haiping Li1,2, Zhikun Zhang1, Lu Gan1
1State Key Laboratory of Targeting Oncology, National Center for International Research of Bio-Targeting Theranostics, Guangxi Key Laboratory of Bio-Targeting Theranostics, Collaborative Innovation Center for Targeting Tumor Diagnosis and Therapy, Guangxi Medical University, Nanning 530021, China.
RNA tumor markers are crucial for cancer assessment. This review highlights advanced biosensors with signal amplification for sensitive detection, aiding early cancer diagnosis and prognosis.
Area of Science:
- Biomedical Engineering
- Molecular Diagnostics
- Cancer Research
Background:
- Tumor markers, particularly RNA tumor markers, are vital for cancer development assessment.
- Abnormal expression of RNA tumor markers is linked to tumor progression and clinical outcomes.
- Biosensors offer promising applications in medical diagnostics due to their sensitivity and selectivity.
Purpose of the Study:
- To review recent advancements in biosensor platforms for detecting RNA tumor markers.
- To explore signal amplification strategies for enhancing the sensitivity of RNA tumor marker detection.
- To provide insights into developing accurate and convenient biosensing tools for early cancer diagnosis.
Main Methods:
- Overview of sensing principles and designs for various biosensing platforms.
- Summary of electrochemical, photoelectrochemical, and fluorescent biosensors for RNA tumor marker detection.
- Focus on signal amplification strategies to overcome low detection abundance.
Main Results:
- Development of highly sensitive and selective biosensing platforms for RNA tumor markers.
- Demonstration of signal amplification strategies significantly improving detection capabilities.
- Integration of electrochemical, photoelectrochemical, and fluorescent approaches.
Conclusions:
- Biosensors with signal amplification offer a high-sensitivity platform for early cancer research.
- These advancements pave the way for accurate, sensitive, and convenient biological analysis.
- Potential for improved early cancer diagnosis, monitoring, and reduced mortality rates.

