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Updated: Feb 28, 2026

Detection of a Circulating MicroRNA Custom Panel in Patients with Metastatic Colorectal Cancer
Published on: March 14, 2019
Circulating miR-21 and miR-181a as Biomarkers for Predicting Postoperative Complications Following Colorectal Cancer
Kornelija Rauduvytė1, Marius Kryžauskas1,2, Domas Drazdauskas3
1Laboratory of Experimental Surgery and Oncology, Translational Health Research Institute, Faculty of Medicine, Vilnius University, 08406 Vilnius, Lithuania.
Plasma miR-21 and miR-181a show limited predictive value for postoperative complications in colorectal cancer surgery. Combining miR-181a with TNF-α improved prediction, suggesting potential for novel biomarker panels.
Area of Science:
- Oncology
- Molecular Biology
- Surgical Research
Background:
- Postoperative complications (POCs) are a significant challenge in colorectal cancer (CRC) surgery.
- Reliable molecular biomarkers are needed for early detection of POCs.
- This study investigates plasma microRNAs (miRNAs) as potential biomarkers.
Purpose of the Study:
- To evaluate the predictive value of plasma miR-21 and miR-181a for POCs after left-sided CRC resection.
- To assess the correlation of these miRNAs with inflammatory markers.
Main Methods:
- Longitudinal observational sub-study within a randomized controlled trial.
- Measurement of plasma miR-21 and miR-181a preoperatively and on postoperative day 6 using RT-qPCR.
- Assessment of POCs using Clavien-Dindo classification.
- Receiver operating characteristic (ROC) analysis for discriminative performance.
Main Results:
- No significant differences in plasma miR-21 or miR-181a levels between patients with and without POCs.
- Limited discriminative ability of individual miRNAs (AUC = 0.61 for miR-21, 0.54 for miR-181a).
- Combined model of miR-181a and TNF-α showed improved prediction (AUC = 0.76).
Conclusions:
- Plasma miR-21 and miR-181a have limited predictive value for POCs in CRC surgery at baseline or postoperative day 6.
- Combination with inflammatory markers like TNF-α may enhance predictive capabilities.
- Larger studies with optimized sampling are needed to explore dynamic biomarker changes.
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