Oligo cyc-DEP: On-chip cyclic immunofluorescence profiling of cell-derived nanoparticles.

We present a follow-on technique for the cyclic-immunofluorescence profiling of suspension particles isolated using dielectrophoresis. The original lab-on-chip technique ("cyc-DEP" [cyclic immunofluorescent imaging on dielectrophoretic chip]) was designed for the multiplex surveillance of circulating biomarkers. Nanoparticles were collected from low-volume liquid biopsies using microfluidic dielectrophoretic chip technology. Subsequent rounds of cyclic immunofluorescent labeling and quenching were imaged and quantified with a custom algorithm to detect multiple proteins. While cyc-DEP improved assay multiplicity, long runtimes threatened its clinical adoption. Here, we modify the original cyc-DEP platform to reduce assay runtimes. Nanoparticles were formulated from human prostate adenocarcinoma cells and collected using dielectrophoresis. Three proteins were labeled on-chip with a mixture of short oligonucleotide-conjugated antibodies. The sample was then incubated with complementary fluorophore-conjugated oligonucleotides, which were dehybridized using an ethylene carbonate buffer after each round of imaging. Oligonucleotide removal exhibited an average quenching efficiency of 98 ± 3% (n = 12 quenching events), matching the original cyc-DEP platform. The presented "oligo cyc-DEP" platform achieved clinically relevant sample-to-answer times, reducing the duration for three rounds of cyclic immunolabeling from approximately 20 to 6.5 h-a 67% decrease attributed to rapid fluorophore removal and the consolidated co-incubation of antibodies.

cyc-DEP: Cyclic immunofluorescence profiling of particles collected using dielectrophoresis.

Cancer is a highly heterogenous disease that requires precise detection tools and active surveillance methods. Liquid biopsy assays provide an agnostic way to follow the complex trajectory of cancer, providing better patient stratification tools for optimized treatment. Here, we present the development of a low-volume liquid biopsy assay called cyc-DEP (cyclic immunofluorescent imaging on dielectrophoretic chip) to profile biomarkers collected on a dielectrophoretic microfluidic chip platform. To enable on-chip cyclic imaging, we optimized a fluorophore quenching method and sequential rounds of on-chip staining with fluorescently conjugated primary antibodies. cyc-DEP allows for the quantification of a multiplex array of proteins using 25 µl of a patient plasma sample. We utilized nanoparticles from a prostate adenocarcinoma (LNCaP) cell line and a panel of six target proteins to develop our proof-of-concept technique. We then used cyc-DEP to quantify blood plasma levels of target proteins from healthy individuals, low-grade and high-grade prostate cancer patients (n = 3 each) in order to demonstrate that our platform is suitable for liquid biopsy analysis in its present form. To ensure accurate quantification of signal intensities and comparisons between different samples, we incorporated a signal intensity normalization method (fluorescent beads) and a custom signal intensity quantification algorithm that account for the distribution of signal across hundreds of collection regions on each chip. Our technique enabled a threefold improvement in multiplicity for detecting proteins associated with fluid samples, opening doors for early detection, and active surveillance through quantification of a multiplex array of biomarkers from low-volume liquid biopsies.

Multiplex imaging of localized prostate tumors reveals altered spatial organization of AR-positive cells in the microenvironment.

Mapping the spatial interactions of cancer, immune, and stromal cell states presents novel opportunities for patient stratification and for advancing immunotherapy. While single-cell studies revealed significant molecular heterogeneity in prostate cancer cells, the impact of spatial stromal cell heterogeneity remains poorly understood. Here, we used cyclic immunofluorescent imaging on whole-tissue sections to uncover novel spatial associations between cancer and stromal cells in low- and high-grade prostate tumors and tumor-adjacent normal tissues. Our results provide a spatial map of single cells and recurrent cellular neighborhoods in the prostate tumor microenvironment of treatment-naive patients. We report unique populations of mast cells that show distinct spatial associations with M2 macrophages and regulatory T cells. Our results show disease-specific neighborhoods that are primarily driven by androgen receptor-positive (AR+) stromal cells and identify inflammatory gene networks active in AR+ prostate stroma.

Epigenetic loss of heterogeneity from low to high grade localized prostate tumours.

Identifying precise molecular subtypes attributable to specific stages of localized prostate cancer has proven difficult due to high levels of heterogeneity. Bulk assays represent a population-average, which mask the heterogeneity that exists at the single-cell level. In this work, we sequence the accessible chromatin regions of 14,424 single-cells from 18 flash-frozen prostate tumours. We observe shared chromatin features among low-grade prostate cancer cells are lost in high-grade tumours. Despite this loss, high-grade tumours exhibit an enrichment for FOXA1, HOXB13 and CDX2 transcription factor binding sites, indicating a shared trans-regulatory programme. We identify two unique genes encoding neuronal adhesion molecules that are highly accessible in high-grade prostate tumours. We show NRXN1 and NLGN1 expression in epithelial, endothelial, immune and neuronal cells in prostate cancer using cyclic immunofluorescence. Our results provide a deeper understanding of the active gene regulatory networks in primary prostate tumours, critical for molecular stratification of the disease.

Silica cloaking of adenovirus enhances gene delivery while reducing immunogenicity.

Viral gene therapy is a means of delivering genes to replace malfunctioning ones, to kill cancer cells, or to correct genetic mutations. This technology is emerging as a powerful clinical tool; however, it is still limited by viral tropism, uptake and clearance by the liver, and most importantly an immune response. To overcome these challenges, we sought to merge the robustness of viral gene expression and the versatility of nanoparticle technology. Here, we describe a method for cloaking adenovirus (Ad) in silica (SiAd) as a nanoparticle formulation that significantly enhances transduction. Intratumoral injections in human glioma xenografts revealed SiAd expressing luciferase improved tumor transduction while reducing liver uptake. In immune-competent mice SiAd induced no inflammatory cytokines and reduced production of neutralizing antibodies. Finally, SiAd expressing TNF-related apoptosis-inducing ligand inhibited tumor growth of glioma xenografts. These results reveal that silica cloaking of Ad can enhance viral gene delivery while reducing immunogenicity.

Sinonasal anatomical variations: their relationship with chronic rhinosinusitis and effect on the severity of disease-a computerized tomography assisted anatomical and clinical study.

ABSTRACT: The anatomy of the sinonasal area has a very wide rage of anatomical variations. The significance of these anatomical variations in pathogenesis of rhinosinusitis, which is the commonest disease in the region, is still unclear. The aims of the study were to compare the rate of sinonasal anatomical variations with development and severity of chronic rhinosinusitis patients. CT scan of paranasal sinuses images of 99 individuals were retrospectively reviewed. 65 cases of chronic rhinosinusitis (study group) who had undergone endoscopic sinus surgery were compared with 34 cases without chronic rhinosinusitis (control group). Also in study group Lund-Mackay score of the sinus disease were calculated and compared to the rate of related anatomical variations. There were 74 (74.7 %) males and 25 (25.2 %) females with ages ranging from 13 to 70 years (mean 32.2 years). The anatomical variations recorded were: Septal deviation 47 (72.3) in study and 25 (73.5 %) in control group, concha bullosa 27 (41.5 %) in study and 18 (52.9 %) in control group, overpneumatized ethmoid bulla 17 (26.1 %) in study and 14 (41.1 %) in control group, pneumatized uncinate 3 (4.6 %) in study and 3 (8.8 %) in control group, agger nasi 42 (64.6 %) in study and 19 (55.8 %) in control group, paradoxical middle turbinates 9 (13.8 %) in study and 4 (11.7 %) in control group, Onodi cell 6 (9.2 %) in study and 2 (5.8 %) in control group, Haller's cells (infraorbital ethmoid cell) 9 (13.8 %) in study and 7 (20.5 %) in control group. None of these results were statistically significant between study and control group (p > 0.05). Lund-Mackay score (which was assumed to show the severity of the disease) of the maxillary, ethmoid and frontal sinus were calculated and compared to rate of septal deviation, concha bullosa, agger nasi cells. No significant correlation was conducted (p > 0.05). The results of study showed no statistically significant correlation between sinonasal anatomical variations and pathologies of the paranasal sinus. Also these anatomical variations did not increase the severity of pre-existing sinusitis significantly. LEVEL OF EVIDENCE: This is a retrospective cohort study (2b).