Related Experiment Video
Updated: Jun 6, 2026

08:14
MicroRNA Based Liquid Biopsy: The Experience of the Plasma miRNA Signature Classifier (MSC) for Lung Cancer Screening
Published on: October 26, 2017
Microarray-Based Identification of Time-Sensitive miRNAs as Serum Quality Indicators in Liquid Biopsy
Satoko Takizawa1, Atsuko Mizoguchi2, Hiroko Sudo2
1New Projects Development Division, Toray Industries Inc, Kamakura, Kanagawa, Japan.
Summary
Researchers identified specific circulating microRNAs (miRNAs) that change significantly with serum storage time. These miRNAs can serve as reliable markers to assess the quality and storage conditions of clinical blood samples.
Area of Science:
- Biochemistry
- Molecular Biology
- Biomarker Discovery
Background:
- Circulating microRNAs (miRNAs) are valuable biomarkers.
- Study discrepancies arise from varied experimental and processing conditions.
- Serum quality is affected by post-collection storage duration.
Purpose of the Study:
- To identify circulating miRNAs that indicate serum quality.
- To develop miRNA markers for time-dependent storage fluctuations.
- To establish reliable biomarkers for clinical sample integrity.
Main Methods:
- Assessed miRNA stability at room temperature (23°C-27°C) after serum separation.
- Identified miRNAs with >5% signal variability after 0.5-1 hour of storage.
- Quantified significant signal changes (>1 level) after 1 hour of storage.
- Validated miRNA markers in clinical samples with different processing times.
Main Results:
- 17 miRNAs showed >5% signal variability after 0.5 hours at room temperature.
- Seven miRNAs exhibited significant signal level changes (>1) after 1 hour.
- miR-4429 and miR-6511b-5p signals decreased significantly with longer processing times.
- These specific miRNAs demonstrated time-dependent detection level fluctuations.
Conclusions:
- Specific circulating miRNAs can serve as indicators of serum sample quality.
- miR-4429 and miR-6511b-5p are potential markers for assessing storage duration.
- These miRNA markers can help standardize clinical sample assessment and improve data reliability.

