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Magnetically Driven Dual-miRNA Framework Nucleic Acid Biosensing Platform for Precise Classification of Breast Cancer Subtypes

  • Xiaochen Xia
  • , Ziming Ye
  • , Juan Hu
  • , Zhengju Zhang
  • , Xiaoxue Liu
  • , Xue Wu
  • , Huijie Bai
  • , Cuiping Mao
  • , Yi Li
  • , Xiaoxia Liu*
  • , Jinhong Guo*
  • , Kuo Chen*
  • , Yong Wang*
  • *Corresponding author for this work
  • Chongqing Medical University
  • Chongqing University of Posts and Telecommunications
  • First Affiliated Hospital of Chongqing Medical University
  • The University of Hong Kong
  • Army Medical University
  • Shanghai Jiao Tong University

Research output: Contribution to journalArticlepeer-review

Abstract

The significant variation in treatment strategies among breast cancer subtypes establishes precise early subtyping as a critical prerequisite for effective therapy. While molecular profiling offers accurate classification, developing a rapid and reliable detection method remains challenging. Hence, we constructed an integrated platform by integrating a DNA tetrahedral probe (DTP) and surface antiadhesive magnetic micro/nanorobots (MNRs), enabling rapid contact between the MNR-DTP system and target analytes. The probe enhances fluorescence via target-triggered strand displacement and CHA-mediated signal amplification, allowing breast cancer subtypes to be identified through distinct dual-color fluorescence patterns. Furthermore, magnetically driven MNRs improve detection efficiency by enhancing mass transfer, promoting mixing, and accelerating probe–target interactions. Experimental results demonstrate that this strategy markedly enhances fluorescence output, enables rapid detection of dual-miRNA signatures in different breast cell lines, and distinguishes expression heterogeneity at the single-cell level. The system shows high specificity and improved sensitivity, with limits of detection of 1.5 pM for miR-21 and 1.17 pM for miR-31. The biocompatibility and stability of the proposed MNR-DTP system make it a promising tool for early breast cancer subtype discrimination and multiplexed target recognition in complex biological settings.

Original languageEnglish
Pages (from-to)36582-36597
Number of pages16
JournalACS Applied Materials and Interfaces
Volume18
Issue number26
DOIs
StatePublished - 8 Jul 2026
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • DNA tetrahedral probes
  • biosensing
  • breast cancer
  • catalytic hairpin assembly
  • micro/nanorobots

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