Quantitative oncogene-mapping within malignant tumors through Multi-parameter MRI based on RNA-triggered nanoprobes

Wenyue Li1,2,3,4, Runjie Wang2, Xinyi Zhang2

  • 1Department of Rehabilitation Medicine, School of Medicine, the Second Affiliated Hospital of South China University of Technology (Guangzhou First People's Hospital), Guangzhou, 510180, China.

Materials Today. Bio
|February 25, 2026
PubMed

Insights

This study introduces a novel magnetic resonance tuning (MRET) imaging method for precise cancer diagnosis. The technique uses targeted nanoprobes to quantify microRNA (miRNA) levels in tumors, enabling early detection.

Area of Science:

  • Biomedical Engineering
  • Molecular Imaging
  • Nanotechnology

Background:

  • Genomic instability is a hallmark of cancer, necessitating precise oncogene detection for early diagnosis.
  • Detecting low-abundance oncogenes in vivo remains a significant challenge for current imaging techniques.

Purpose of the Study:

  • To develop a quantitative magnetic resonance imaging (MRI) strategy for analyzing tumor-associated microRNA (miRNA) using magnetic resonance tuning (MRET).
  • To establish a method for early tumor diagnosis and pathological analysis through precise oncogene quantification.

Main Methods:

  • Integrated superparamagnetic iron oxide (Fe3O4) nanoparticles and paramagnetic gadolinium (Gd-DTPA) enhancers via a DNA linker.
  • Embedded AS1411 aptamers for targeting overexpressed nucleolins in tumor cells.
  • Utilized hybridization with target miRNA to release Gd3+-labeled sequences, enhancing T1 signals for miRNA quantification.

Main Results:

  • Verified the MRET effect in vitro with varying concentrations of miR-21.
  • Visualized enhanced T2 and activated T1 signals in vivo in 4T1 and CT26 subcutaneous tumor models.
  • Established a quantitative correlation between MRI signals and local miR-21 concentration in vivo.

Conclusions:

  • The developed nanoprobes show potential for precise tumor-related gene diagnosis and quantification.
  • This approach offers a promising avenue for prompt and accurate tumor diagnosis through miRNA analysis.