Multicolor SERS-encoded immuno-cocktail for longitudinal precise tracking of CTCs phenotypes in lung cancer

Min Fan1, Zongyang Yu2, Kan Luo3

  • 1Fujian Provincial Key Laboratory for Advanced Micro-nano Photonics Technology and Devices, Institute for Photonics Technology, Quanzhou Normal University, Quanzhou, 362000, China.

PubMed

Insights

This study introduces a portable liquid biopsy tool using SERS immunoprobes for real-time monitoring of circulating tumor cells (CTCs) in lung cancer. This technology aids in tracking tumor heterogeneity and guiding adaptive therapy by detecting drug resistance early.

Area of Science:

  • Oncology
  • Biotechnology
  • Analytical Chemistry

Background:

  • Tumor heterogeneity and drug resistance impede personalized lung cancer therapy.
  • Circulating tumor cell (CTC)-based liquid biopsy offers a minimally invasive method to track tumor evolution and treatment response.

Purpose of the Study:

  • To develop a portable, field-deployable SERS immunoprobe platform for multiplexed detection of CTC membrane biomarkers.
  • To monitor tumor heterogeneity and drug resistance dynamics throughout lung cancer therapy.

Main Methods:

  • Utilized a cocktail of multicolor-encoded immunoprobes for single-cell phenotypic resolution via antigen-specific spectral fingerprinting.
  • Validated CTC quantification and molecular subtyping using flow cytometry and OPLS-DA.
  • Applied the platform to stratify lung cancer patients and track treatment-driven CTC evolution.

Main Results:

  • Achieved ultra-sensitive CTC quantification with a limit of detection of 1.7 cells/mL.
  • Demonstrated precise molecular subtyping across four cell lines with 99% classification accuracy.
  • Successfully stratified metastatic versus non-metastatic lung cancer and captured CTC evolution in longitudinal studies.

Conclusions:

  • The SERS immunoprobe platform provides a transformative strategy for real-time interception of drug resistance.
  • Dynamic CTC phenotyping is a critical tool for adaptive therapy and prognostic assessment in precision oncology.

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