Microenvironment‐Guided Evolution of ssDNA‐SWCNT Probes for Selective Recognition of Aggressive Prostate Cancer Phenotypes
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.
Authors
- Seong-Hyo Oh (ORCID: https://orcid.org/0000-0002-7532-3934)
- Dakyeon Lee (ORCID: https://orcid.org/0009-0000-0993-3964)
- Seulgi Lee (ORCID: https://orcid.org/0000-0002-6776-6719)
- YS Jung
- Byoung Soo Kim (ORCID: https://orcid.org/0000-0001-5606-4036)
- Sungjee Kim
- Min‐Seo Choi
- Sanghwa Jeong
- Seok‐Hyeon Lee
Institutions
- Pohang University of Science and Technology (KR)
- Pusan National University Yangsan Hospital (KR)
- Pusan National University (KR)
Publication Details
- Journal
- Advanced Science
- Published
- 2026-01-21
- DOI
- https://doi.org/10.1002/advs.202518582
- Primary Topic
- Advanced biosensing and bioanalysis techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00