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MicroRNAs01:22

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MicroRNA Based Liquid Biopsy: The Experience of the Plasma miRNA Signature Classifier MSC for Lung Cancer Screening
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Predicting Postoperative Liver Dysfunction Based on Blood-Derived MicroRNA Signatures.

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A new microRNA (miRNA) signature can predict postoperative liver dysfunction after liver resection. This biomarker offers a simple, accurate, and non-invasive method to assess patient risk and guide surgical timing.

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Area of Science:

  • Hepatology
  • Molecular Diagnostics
  • Surgical Oncology

Background:

  • Current methods for predicting liver function recovery after resection are invasive, costly, and time-consuming.
  • MicroRNA (miRNA) signatures are emerging as powerful biomarkers for various diseases.
  • An easily accessible preoperative test is urgently needed to optimize liver resection timing.

Purpose of the Study:

  • To identify a preoperative biomarker for predicting postoperative liver dysfunction (LD) after liver resection.
  • To evaluate the accuracy of miRNA signatures in assessing patient risk and guiding surgical decisions.
  • To establish a novel, non-invasive test for optimizing liver resection strategies.

Main Methods:

  • Next-generation sequencing was used to detect miRNAs in preoperative plasma from patients undergoing liver resection.
  • A miRNA signature (miRNAs 151a-5p, 192-5p, and 122-5p) was identified and validated using real-time PCR.
  • A regression model based on miRNA ratios was developed to predict postoperative LD and clinical outcomes.

Main Results:

  • A specific miRNA signature (miRNAs 151a-5p, 192-5p, 122-5p) was identified and strongly correlated with postoperative LD.
  • The miRNA-based regression model accurately predicted LD, severe morbidity, prolonged ICU/hospital stays, and mortality.
  • miRNA ratios demonstrated high accuracy, outperforming established markers, and tracked liver function recovery.

Conclusions:

  • An miRNA-based biomarker shows significant clinical utility for selecting patients for partial hepatectomy.
  • Dynamical changes in miRNA ratios during recovery suggest a role in personalized patient treatment.
  • This biomarker can help tailor surgical strategies based on individual patient risk profiles.