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Updated: Jun 28, 2025

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Published on: May 30, 2025
CircRNAs in cancer therapy tolerance
Miao He1, Yunyan Pan2, Chongge You2
1The Second Hospital of Lanzhou University, Laboratory Medicine Center, Lanzhou 730030, PR China; The Second Clinical Medical School, Lanzhou University, Lanzhou 730030, PR China.
Circular RNAs (circRNAs) in serum show promise as noninvasive biomarkers for predicting cancer treatment resistance and outcomes. Further research aims to integrate circRNA profiling into clinical practice for personalized oncology.
Area of Science:
- Oncology
- Molecular Biology
- Biomarker Discovery
Background:
- Circular RNAs (circRNAs) are emerging as critical regulators in cancer.
- Serum circRNAs offer potential as noninvasive biomarkers due to their stability and abundance.
- Understanding circRNA roles is vital for advancing cancer diagnostics and treatment.
Purpose of the Study:
- To review the biogenesis, function, and clinical relevance of circRNAs in cancer.
- To highlight serum circRNAs as biomarkers for predicting tumor therapy resistance.
- To discuss challenges and future prospects of circRNA research in clinical oncology.
Main Methods:
- Comprehensive literature review of existing studies and clinical trials on circRNAs in cancer.
- Analysis of circRNA roles in oncogenesis, tumor progression, and treatment response.
- Evaluation of serum circRNAs for prognostic significance and resistance prediction.
Main Results:
- CircRNAs play complex roles in oncogenesis and influence patient response to chemotherapy, radiotherapy, targeted therapy, and immunotherapy.
- Serum circRNAs demonstrate prognostic significance in predicting therapeutic outcomes and resistance mechanisms.
- CircRNA profiling has the capacity to inform personalized cancer treatment strategies.
Conclusions:
- Serum circRNAs are promising noninvasive biomarkers for early cancer diagnosis and therapy tolerance prediction.
- Standardized protocols for circRNA extraction and quantification are needed.
- Integrating circRNA profiling into clinical workflows can advance precision oncology and novel therapeutics.
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