Tracking the Evolution of Metastasis with Self-Functionalized 3D Nanoprobes

Rupa Haldavnekar1,2,3,4,5, Akshay Venkatakrishnan6, Amirkianoosh Kiani7,8

  • 1Institute for Biomedical Engineering, Science and Technology, 209 Victoria Street, Toronto, Ontario M5B 1T8, Canada.

Insights

This study introduces a novel method using nanoprobes and surface-enhanced Raman scattering (SERS) to track cancer cell evolution and metastasis origins. This breakthrough offers precise cancer detection and prognosis by analyzing molecular signatures of cancer stem cells (CSCs).

Area of Science:

  • Biomedical Engineering
  • Cancer Research
  • Nanotechnology

Background:

  • Metastasis causes 90% of cancer mortality, often occurring early and limiting treatment effectiveness.
  • Limited understanding of metastasis cascade mechanisms, especially metastatic traits, hinders effective intervention.
  • Tracking metastasis evolution and identifying its origin remain significant challenges in oncology.

Purpose of the Study:

  • To introduce a synchronous approach for unveiling molecular mechanisms of the metastasis cascade.
  • To monitor tumor-initiating events during cancer stem cell (CSC) metamorphosis with single-cell sensitivity.
  • To investigate the molecular profiles of quasi-intermediate CSCs for metastasis dissemination detection.

Main Methods:

  • Utilized ultrasensitive surface-enhanced Raman scattering (SERS) technique.
  • Developed biocompatible, 3D titanium-based nanoprobes with enhanced SERS activity (~80-fold).
  • Employed nanoprobes to entrap and monitor nonadherent CSCs from aggressive cancer cell lines (MDAMB231, COLO 205, HeLa).

Main Results:

  • Nanoprobes promoted CSC proliferation, facilitated attainment of quasi-intermediate states, and monitored reprogramming.
  • Substantial amplification of intracellular Raman signals captured molecular events during CSC transformation.
  • Achieved 100% accuracy in cancer detection and identified metastasis origin based on cancer-type-specific CSC reprogramming signatures.

Conclusions:

  • Demonstrated the first CSC-based tracking of metastasis evolution, providing clarity on quasi-intermediate states.
  • Established cancer-type-specific molecular signatures for CSC reprogramming, enabling accurate metastasis origin identification.
  • This approach holds potential for advancing cancer diagnosis, prognosis, and therapeutic intervention monitoring.

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