Multicolor SERS-encoded immuno-cocktail for longitudinal precise tracking of CTCs phenotypes in lung cancer therapeutics.
1/5 보강
Tumor heterogeneity and drug resistance remain major obstacles to the implementation of personalized therapeutic strategies in lung cancer.
- 표본수 (n) 24
APA
Fan M, Yu Z, et al. (2026). Multicolor SERS-encoded immuno-cocktail for longitudinal precise tracking of CTCs phenotypes in lung cancer therapeutics.. Biosensors & bioelectronics, 295, 118277. https://doi.org/10.1016/j.bios.2025.118277
MLA
Fan M, et al.. "Multicolor SERS-encoded immuno-cocktail for longitudinal precise tracking of CTCs phenotypes in lung cancer therapeutics.." Biosensors & bioelectronics, vol. 295, 2026, pp. 118277.
PMID
41349442
Abstract
Tumor heterogeneity and drug resistance remain major obstacles to the implementation of personalized therapeutic strategies in lung cancer. Circulating tumor cell (CTC)-based liquid biopsy provides a powerful, minimally invasive tool for tracking dynamic changes in tumor heterogeneity and elucidating mechanisms of treatment response and drug resistance. Herein, we present a portable, field-deployable surface-enhanced Raman scattering (SERS) immunoprobe platform capable of multiplexed detection of CTC membrane biomarkers to monitor tumor heterogeneity throughout the course of therapy. Utilizing a cocktail of multicolor-encoded immunoprobes, the platform achieves single-cell phenotypic resolution via antigen-specific spectral fingerprinting, validated by flow cytometry. It demonstrates ultra-sensitive CTC quantification (limit of detection of 1.7 cells/mL) and precise molecular subtyping across four cell lines (HCC827, A549, BEAS-2B, and HeLa). Integrated with orthogonal partial least squares discriminant analysis (OPLS-DA), the platform accurately distinguishes clinically relevant cell types with 99 % classification accuracy, successfully stratifying metastatic versus non-metastatic lung cancer (n = 24) and capturing treatment-driven CTC evolution in longitudinal studies (n = 7). Our results highlight a transformative strategy for real-time interception of drug resistance trajectories, positioning dynamic CTC phenotyping as a critical tool for adaptive therapy and prognostic assessment in precision oncology.
MeSH Terms
Humans; Neoplastic Cells, Circulating; Lung Neoplasms; Spectrum Analysis, Raman; Biosensing Techniques; Cell Line, Tumor; Biomarkers, Tumor; Phenotype
같은 제1저자의 인용 많은 논문 (5)
- Role of the neurotransmitter-receptor pathway in T-cell tumor immunology and cancer immunotherapy.
- Exploratory Analysis of [ 68 Ga]Ga-FAP-2286 PET/CT Quantitative Parameters for Predicting Response to [ 177 Lu]Lu-FAP-2286 Therapy in Non-small Cell Lung Cancer.
- Deep learning synthesis of DBT features from mammography for breast cancer diagnosis.
- Joint synthesis of longitudinal MRI and enhanced prediction of neoadjuvant chemotherapy response in breast cancer: a multicohort study.
- Radiomic signatures associated with longitudinal TNM downstaging for prognostic stratification in breast cancer.