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De Leon, I.

Publications and source records attributed to De Leon, I..

2 recordsLinked to original sources

Modular Albumin-Chaperoned NIR-II Nanofluorophores Enables Pan-Ovarian Cancer Imaging Across Multiscale Tumor Models

Ovarian cancer remains the most lethal gynecological malignancy, primarily due to late-stage diagnosis and the challenges of achieving complete cytoreduction. While fluorescence image-guided surgery (FIGS) offers intraoperative visualization, current clinical agents are limited by insufficient brightness, rapid photobleaching, and poor molecular selectivity, particularly in the near-infrared window. Here, we report the rational modular design of ultrabright NIR-II semiconducting polymer (SP) nanofluorophores for high-fidelity ovarian cancer imaging. By nanoconfining of a representative hydrophobic SP within a functional albumin matrix induces a "chaperone" effect that suppresses aggregation-induced quenching and shifts emission in the NIR-II window (1000-1250 nm). This platform integrates a dual-receptor targeting strategy, leveraging intrinsic albumin-receptor interactions (GP60 and SPARC) alongside folate receptor alpha (FR) functionalization. This synergistic approach enables pan-ovarian cancer imaging by ensuring high-affinity binding across diverse tumor phenotypes, regardless of heterogeneous receptor expression. Across a multiscale validation framework, the nanofluorophores demonstrate efficient receptor-mediated endocytosis in 2D cultures and deep interstitial penetration in 3D tumor spheroids. Furthermore, microfluidic tumor-on-chip models incorporating endothelial-like fenestrations confirm controlled extravasation and targeting under physiological shear stress. 3D bioprinted tumor phantoms and ex vivo porcine ovary tissues further confirm that BSA-FA@SP2 provides superior lesion delineation and signal-to-background ratios compared to indocyanine green, a clinical standard. Importantly, the nanofluorophores exhibit excellent hemocompatibility, with minimal hemolysis and negligible complement activation, indicating a non-immunogenic, stealth profile. Collectively, this work establishes albumin-shielded NIR-II nanofluorophores as a robust platform for precision intraoperative pan-ovarian imaging and advances the translational potential of nanotechnology-enabled surgical oncology.

bioengineering↗

Architecture-Dependent Stability, Cellular Uptake, and Redox Modulation of Poly(p-Coumaric Acid) Hybrid Nanoparticles for Ovarian Carcinoma Intervention

The clinical efficacy of fluorescence-guided surgery (FGS) is often compromised by the poor photostability and biologically inert nature of conventional contrast agents such as Indocyanine Green (ICG). While nanocarriers can enhance dye stability, they often function primarily as passive delivery vehicles, requiring additive complexity to achieve therapeutic effects. Here, we report a structure-guided approach to develop self-theranostic hybrid nanoparticles where the polycondensation kinetics of the polymer core, poly(p-coumaric acid) (PCA), serve as a critical design parameter governing nanoparticle assembly and downstream optical and biological performance. By systematically varying the reaction duration, we synthesized PCA variants with distinct polymer growth profiles that influence nanoparticle morphology, ICG encapsulation, and fluorescence stability. The optimized PCA1.5h formulation significantly improved the stability of encapsulated ICG, maintaining robust NIR-I fluorescence under storage and surgical illumination conditions. Beyond acting as a structural scaffold, the PCA matrix retained intrinsic redox-modulating activity, leading to increased reactive oxygen species (ROS) signal generation and reduced viability in multiple ovarian cancer cells. The imaging performance of these nanoparticles was further evaluated using 3D bioprinted intraperitoneal tumor phantoms designed to simulate key optical and spatial features relevant to fluorescence-guided imaging. This work establishes reaction-time-dependent PCA growth profiles as an important formulation parameter for integrating imaging performance and intrinsic biological activity within a simplified hybrid nanomaterial platform. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=132 SRC="FIGDIR/small/717943v3_ufig1.gif" ALT="Figure 1"> View larger version (33K): org.highwire.dtl.DTLVardef@6eab63org.highwire.dtl.DTLVardef@1b6220borg.highwire.dtl.DTLVardef@75010dorg.highwire.dtl.DTLVardef@1982be7_HPS_FORMAT_FIGEXP M_FIG TOC C_FIG

bioengineering↗