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Updated: Jan 15, 2026

Detection and Monitoring of Tumor Associated Circulating DNA in Patient Biofluids
Published on: June 8, 2019
CRISPR-based platforms for detecting tumor-associated genetic materials in clinical samples
Xiaoqing Chen1, Qiaoyuan Ye2, Qingle Liang3
1Department of Biology, College of Science, Shantou University, Shantou, Guangdong, China.
CRISPR/Cas systems offer a programmable, rapid, and specific method for detecting tumor-associated genetic markers, overcoming limitations of traditional cancer screening techniques.
Area of Science:
- Biotechnology
- Molecular Biology
- Cancer Research
Background:
- Traditional tumor detection methods are complex, time-consuming, and costly.
- Tumor-associated genetic markers are crucial for early cancer detection and monitoring.
- CRISPR/Cas systems present a promising alternative for molecular diagnostics.
Purpose of the Study:
- To critically discuss advancements in CRISPR/Cas systems for detecting tumor-associated genetic materials.
- To highlight the significance of these genetic materials in cancer diagnosis and prognosis.
- To explain the key concepts of CRISPR/Cas systems in tumor detection.
Main Methods:
- Review and critical discussion of CRISPR/Cas-based detection strategies.
- Analysis of CRISPR/Cas applications for gene mutations, DNA methylation, miRNA, lncRNA, and circRNA.
- Explanation of CRISPR/Cas system mechanisms for tumor marker detection.
Main Results:
- CRISPR/Cas systems demonstrate high targeting specificity and signal amplification for genetic material detection.
- Breakthroughs achieved in detecting various tumor-associated genetic materials using CRISPR/Cas.
- CRISPR/Cas systems offer programmability and rapid reaction times.
Conclusions:
- CRISPR/Cas systems are emerging as powerful tools for tumor detection, surpassing traditional methods.
- The application of CRISPR/Cas in detecting diverse tumor genetic markers shows significant potential.
- Understanding CRISPR/Cas mechanisms is key to advancing cancer diagnostics and prognostics.
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