CRISPR/Cas-based detection strategies for tumor biomarker detection

Area of Science:

• Biotechnology
• Molecular Biology
• Cancer Research

Background:

• Tumor biomarkers (nucleic acids, proteins, EVs, CTCs) are crucial for cancer risk assessment, diagnosis, prognosis, and monitoring.
• Current detection methods like PCR and ELISA have limitations in sensitivity, specificity, and operational complexity.
• CRISPR/Cas systems present a promising alternative due to their high sensitivity, specificity, and programmability.

Purpose of the Study:

• To review the classification and working mechanisms of CRISPR/Cas systems.
• To summarize recent CRISPR/Cas-based detection strategies for tumor biomarkers.
• To discuss multiplex detection strategies and future prospects of CRISPR/Cas systems in cancer diagnostics.

Main Methods:

• Literature review of CRISPR/Cas systems and their applications in tumor biomarker detection.
• Analysis of CRISPR/Cas system characteristics, including sensitivity, specificity, and compatibility with amplification techniques.
• Examination of strategies for multiplex tumor biomarker detection using combined CRISPR/Cas systems.

Main Results:

• CRISPR/Cas systems enable sensitive, specific, and programmable detection of tumor biomarkers.
• Integration with isothermal amplification enhances CRISPR/Cas detection capabilities.
• Combinations of CRISPR/Cas systems facilitate multiplex detection of multiple biomarkers simultaneously.

Conclusions:

• CRISPR/Cas-based detection strategies are highly promising for sensitive, specific, and multiplex tumor biomarker analysis.
• These systems offer advantages over traditional methods like PCR and ELISA.
• Further research into challenges and prospects will advance CRISPR/Cas applications in clinical oncology.