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Microenvironment-Guided Evolution of ssDNA-SWCNT Probes for Selective Recognition of Aggressive Prostate Cancer Phenotypes.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) 2026 Vol.13(17) p. e18582

Lee D, Lee SH, Jung Y, Lee J, Choi MS, Oh S, Kim S, Kim BS, Jeong S

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Despite advances in prostate cancer detection, distinguishing indolent from aggressive phenotypes remains challenging.

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BibTeX ↓ RIS ↓
APA Lee D, Lee SH, et al. (2026). Microenvironment-Guided Evolution of ssDNA-SWCNT Probes for Selective Recognition of Aggressive Prostate Cancer Phenotypes.. Advanced science (Weinheim, Baden-Wurttemberg, Germany), 13(17), e18582. https://doi.org/10.1002/advs.202518582
MLA Lee D, et al.. "Microenvironment-Guided Evolution of ssDNA-SWCNT Probes for Selective Recognition of Aggressive Prostate Cancer Phenotypes.." Advanced science (Weinheim, Baden-Wurttemberg, Germany), vol. 13, no. 17, 2026, pp. e18582.
PMID 41566610

Abstract

Despite advances in prostate cancer detection, distinguishing indolent from aggressive phenotypes remains challenging. We report a microenvironment-guided strategy for evolving phenotype-specific molecular probes using single-stranded DNA-functionalized single-walled carbon nanotubes (ssDNA-SWCNTs). Our approach employs 3D tumor models that recapitulate complex cancer microenvironments, enabling identification of ssDNA sequences with differential binding properties. We developed two distinct probes for prostate cancer cells: PC3D2, which preferentially binds hypoxia-adapted stem-like cells associated with treatment resistance, and PC2D2, which shows enhanced binding to mesenchymal-like cells. These probes exhibit characteristic second near-infrared (NIR-II, 1000-1700 nm) fluorescence, enabling non-invasive detection of aggressive phenotypes in heterogeneous tumors using NIR-II optical imaging. We demonstrate their utility for selective drug delivery to prostate cancer spheroids, resulting in enhanced therapeutic efficacy. This platform represents a significant advancement in precision diagnostics and theranostics, potentially transforming prostate cancer management through phenotype-specific targeting. The methodology offers a generalizable approach for developing nanoprobes that recognize clinically relevant cancer phenotypes based on their unique microenvironmental signatures rather than individual biomarkers.

MeSH Terms

Male; Prostatic Neoplasms; Humans; Tumor Microenvironment; Nanotubes, Carbon; DNA, Single-Stranded; Phenotype; Cell Line, Tumor; Molecular Probes; Optical Imaging

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