Prostate cancer is a multifocal disease with characteristic heterogeneity and foci that can range from low grade indolent to aggressive disease. The latter is characterised by the well-established histopathological Gleason grading system used in the current clinical care. Nevertheless, a large discrepancy exists on initial biopsy and after the final radical prostatectomy. Moreover, there is no reliable imaging modality to study these foci, in particular at the level of the cells and surrounding matrix. Extracellular matrix (ECM) remodelling is significant in cancer progression with collagen as the dominant structural component providing mechanical strength and flexibility of tissue. In this study, the collagen assembly in prostate tissue was investigated with second harmonic generation (SHG) microscopy: malignant foci demonstrated a reticular pattern, with a typical collagen pattern for each Gleason score. The orientation of collagen for each biopsy was computed by applying a ratio of the anisotropic and isotropic collagen fibres. This value was found to be distinct for each Gleason score. The findings suggest that this approach can not only be used to detect prostate cancer, but also can act as a potential biomarker for cancer aggressiveness.
Multi-functional laser non-invasive diagnostic systems allow the study of a number of microcirculatory parameters, including index of blood microcirculation (Im) (by laser Doppler flowmetry, LDF) and oxygen saturation (StO2) of skin tissue (by tissue reflectance oximetry, TRO). This research aimed to use such a system to investigate the synchronization of microvascular blood flow and oxygen saturation rhythms under normal and adaptive change conditions. Studies were conducted on eight healthy volunteers of 21-49 years. These volunteers were observed between one and six months, totalling 422 basic tests (3 min each). Measurements were performed on the palmar surface of the right middle finger and the lower forearm's medial surface. Rhythmic oscillations of LDF and TRO were studied using wavelet analysis. Combined tissue oxygen consumption data for all volunteers during 'adaptive changes' increased relative to normal conditions with and without arteriovenous anastomoses. Data analysis revealed resonance and synchronized rhythms in microvascular blood flow and oxygen saturation as an adaptive change in myogenic oscillation (vasomotion) resulting from exercise and possibly psychoemotional stress. Synchronization of myogenic rhythms during adaptive changes may lead to increased oxygen consumption as a result of increased microvascular blood flow velocity.
The optical redox ratio as a measure of cellular metabolism is determined by an altered ratio between endogenous fluorophores NADH and flavin adenine dinucleotide (FAD). Although reported for other cancer sites, differences in optical redox ratio between cancerous and normal urothelial cells have not previously been reported. Here, we report a method for the detection of cellular metabolic states using flow cytometry based on autofluorescence, and a statistically significant increase in the redox ratio of bladder cancer cells compared to healthy controls. Urinary bladder cancer and normal healthy urothelial cell lines were cultured and redox overview was assessed using flow cytometry. Further localisation of fluorescence in the same cells was carried out using confocal microscopy. Multiple experiments show correlation between cell type and redox ratio, clearly differentiating between healthy cells and cancer cells. Based on our preliminary results, therefore, we believe that this data contributes to current understanding of bladder tissue fluorescence and can inform the design of endoscopic probes. This approach also has significant potential as a diagnostic tool for discrimination of cancer cells among shed urothelial cells in voided urine, and could lay the groundwork for an automated system for population screening for bladder cancer.
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