Circulating microRNA panels for multi-cancer detection and gastric cancer screening: leveraging a network biology approach
- Leila Kamkar 1,2, Samaneh Saberi 3, Mehdi Totonchi 4,5, Kaveh Kavousi 6
- Leila Kamkar 1,2, Samaneh Saberi 3, Mehdi Totonchi 4,5
- 1Laboratory of Complex Biological Systems and Bioinformatics (CBB), Department of Bioinformatics, Institute of Biochemistry and Biophysics (IBB), University of Tehran, Tehran, Iran.
- 2School of Paramedical Sciences, Shiraz University of Medical Sciences, Shiraz, Iran.
- 3HPGC Research Group, Department of Medical Biotechnology, Biotechnology Research Center, Pasteur Institute of Iran, Tehran, Iran.
- 4Department of Genetics, Reproductive Biomedicine Research Center, Royan Institute for Reproductive Biomedicine, ACECR, Tehran, Iran. totonchimehdi@gmail.com.
- 5Research Center for Gastroenterology and Liver Diseases, Research Institute For Gastroenterology & Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran. totonchimehdi@gmail.com.
- 6Laboratory of Complex Biological Systems and Bioinformatics (CBB), Department of Bioinformatics, Institute of Biochemistry and Biophysics (IBB), University of Tehran, Tehran, Iran. kkavousi@ut.ac.ir.
- 0Laboratory of Complex Biological Systems and Bioinformatics (CBB), Department of Bioinformatics, Institute of Biochemistry and Biophysics (IBB), University of Tehran, Tehran, Iran.
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View abstract on PubMed
Summary
This summary is machine-generated.This study developed novel liquid biopsy panels of circulating microRNAs (miRNAs) for early cancer detection. These panels show high accuracy for multi-cancer screening and specific detection of gastric cancer, advancing non-invasive diagnostics.
Area Of Science
- Biochemistry
- Molecular Biology
- Oncology
Background
- Liquid biopsy using circulating microRNAs (miRNAs) offers a promising non-invasive approach for early cancer detection.
- Early detection of cancer before symptom onset is crucial for improving patient outcomes.
Purpose Of The Study
- To identify sensitive and specific biomarkers for multi-cancer and specific cancer screening using circulating miRNAs.
- To evaluate the diagnostic potential of miRNA panels for multi-cancer detection and gastric cancer classification.
Main Methods
- Serum miRNA profiles from 972 individuals across thirteen cancer types and healthy controls were analyzed.
- Weighted miRNA co-expression network analysis was used to identify and prioritize potential miRNA biomarkers.
- Machine learning techniques were applied to validate two distinct miRNA panels for multi-cancer and gastric cancer screening.
Main Results
- A multi-cancer screening panel achieved 96.1% accuracy, 96% specificity, and 98.6% sensitivity.
- A separate panel demonstrated 87% accuracy, 90% specificity, and 89% sensitivity for gastric cancer detection.
- The identified miRNA panels showed high performance in classifying cancer types and healthy individuals.
Conclusions
- The developed miRNA panels hold significant potential for patient classification in diagnostic and prognostic applications.
- This research underscores the value of liquid biopsy and circulating miRNAs in advancing non-invasive cancer screening methodologies.
- Further validation could lead to improved early detection strategies for multiple cancers, including gastric cancer.
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