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Related Concept Videos

MicroRNAs01:22

MicroRNAs

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MicroRNA (miRNA) are short, regulatory RNA transcribed from introns—non-coding regions of a gene—or intergenic regions—stretches of DNA present between genes. Several processing steps are required to form biologically active, mature miRNA. The initial transcript, called primary miRNA (pri-mRNA), base-pairs with itself forming a stem-loop structure. Within the nucleus, an endonuclease enzyme, called Drosha, shortens the stem-loop structure into hairpin-shaped pre-miRNA. After...
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Related Experiment Video

Updated: May 29, 2025

Perturbations of Circulating miRNAs in Irritable Bowel Syndrome Detected Using a Multiplexed High-throughput Gene Expression Platform
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Circulating microRNA panels for multi-cancer detection and gastric cancer screening: leveraging a network biology

Leila Kamkar1,2, Samaneh Saberi3, Mehdi Totonchi4,5

  • 1Laboratory of Complex Biological Systems and Bioinformatics (CBB), Department of Bioinformatics, Institute of Biochemistry and Biophysics (IBB), University of Tehran, Tehran, Iran.

BMC Medical Genomics
|February 6, 2025
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.

Keywords:
BiomarkerCo-expression analysisLiquid biopsyMultiple cancer detectionNetwork biologyWGCNAmiRNA

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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.