Fatty-Acid Uptake in Prostate Cancer Cells Using Dynamic Microfluidic Raman Technology.

It is known that intake of dietary fatty acid (FA) is strongly correlated with prostate cancer progression but is highly dependent on the type of FAs. High levels of palmitic acid (PA) or arachidonic acid (AA) can stimulate the progression of cancer. In this study, a unique experimental set-up consisting of a Raman microscope, coupled with a commercial shear-flow microfluidic system is used to monitor fatty acid uptake by prostate cancer (PC-3) cells in real-time at the single cell level. Uptake of deuterated PA, deuterated AA, and the omega-3 fatty acids docosahexaenoic acid (DHA) and eicosapentaenoic acid (EPA) were monitored using this new system, while complementary flow cytometry experiments using Nile red staining, were also conducted for the validation of the cellular lipid uptake. Using this novel experimental system, we show that DHA and EPA have inhibitory effects on the uptake of PA and AA by PC-3 cells.

High-throughput quantum cascade laser (QCL) spectral histopathology: a practical approach towards clinical translation.

Infrared microscopy has become one of the key techniques in the biomedical research field for interrogating tissue. In partnership with multivariate analysis and machine learning techniques, it has become widely accepted as a method that can distinguish between normal and cancerous tissue with both high sensitivity and high specificity. While spectral histopathology (SHP) is highly promising for improved clinical diagnosis, several practical barriers currently exist, which need to be addressed before successful implementation in the clinic. Sample throughput and speed of acquisition are key barriers and have been driven by the high volume of samples awaiting histopathological examination. FTIR chemical imaging utilising FPA technology is currently state-of-the-art for infrared chemical imaging, and recent advances in its technology have dramatically reduced acquisition times. Despite this, infrared microscopy measurements on a tissue microarray (TMA), often encompassing several million spectra, takes several hours to acquire. The problem lies with the vast quantities of data that FTIR collects; each pixel in a chemical image is derived from a full infrared spectrum, itself composed of thousands of individual data points. Furthermore, data management is quickly becoming a barrier to clinical translation and poses the question of how to store these incessantly growing data sets. Recently, doubts have been raised as to whether the full spectral range is actually required for accurate disease diagnosis using SHP. These studies suggest that once spectral biomarkers have been predetermined it may be possible to diagnose disease based on a limited number of discrete spectral features. In this current study, we explore the possibility of utilising discrete frequency chemical imaging for acquiring high-throughput, high-resolution chemical images. Utilising a quantum cascade laser imaging microscope with discrete frequency collection at key diagnostic wavelengths, we demonstrate that we can diagnose prostate cancer with high sensitivity and specificity. Finally we extend the study to a large patient dataset utilising tissue microarrays, and show that high sensitivity and specificity can be achieved using high-throughput, rapid data collection, thereby paving the way for practical implementation in the clinic.

Whole organ cross-section chemical imaging using label-free mega-mosaic FTIR microscopy.

FTIR chemical imaging has been demonstrated as a promising technique to construct automated systems to complement histopathological evaluation of biomedical tissue samples. The rapid chemical imaging of large areas of tissue has previously been a limiting factor in this application. Consequently, smaller areas of tissue have previously had to be sampled, possibly introducing sampling bias and potentially missing diagnostically important areas. In this report a high spatial resolution chemical image of a whole prostate cross section is shown comprising 66 million pixels. Each pixel represents an area 5.5 × 5.5 µm(2) of tissue and contains a full infrared spectrum providing a chemical fingerprint. The data acquisition time was 14 hours, thus showing that a clinical time frame of hours rather than days has been achieved.

SR-FTIR spectroscopy of renal epithelial carcinoma side population cells displaying stem cell-like characteristics.

It is hypothesized that cells with stem cell-like properties may be influential in carcinogenesis, possessing the ability to self-renew, produce differentiated daughter cells and resist environmental or therapeutic injury. This has led to a surge in interest in identifying and characterizing the tumour initiating or cancer stem cell (CSC) with the aim of discovering novel diagnostic and prognostic markers and of understanding the basic biology with the ultimate aim of generating new therapeutic approaches and biomarkers. However, a major hurdle to this process has been the lack of a truly specific cancer stem cell biomarker allied to the rarity of these cells. This has led to problems in characterising these CSCs by traditional '-omic' techniques. Using a renal carcinoma cell line model, we show that synchrotron radiation-Fourier transform infrared (SR-FTIR) spectroscopy is a suitable tool to measure discrete differences in the biochemistry of small numbers of single-cells. Using the chemometric techniques of Principal Component and Linear Discriminant Analysis (PCA and LDA) for multivariate reduction, biochemical differences between the cells from different sub-populations were evaluated. Results found lipid and phosphodiester vibrations to be particularly good discriminating markers in the spectra of these stem-like cells, relative to the more differentiated, proliferating cells that make up the majority of the cell population.

Classification of fixed urological cells using Raman tweezers.

In this paper we report on preliminary investigations into using Raman tweezers to classify urological cell lines. This builds on earlier work within the group, whereby Raman tweezer methodologies were developed, and the application of this technique to differentiate between live prostate cancer (CaP) and bladder cells lines (PC-3 and MGH-U1 respectively) was demonstrated.In this present study we analysed chemically fixed cells using two different fixative methods; SurePath (a commercial available liquid based cytology media) and 4% v/v formalin/PBS fixatives. The study has been expanded from our previous live cell study to include the androgen sensitive CaP cell line LNCaP, primary benign prostate hyperplasia (BPH) cells as well as primary urethral cells. Raman light from the cells was collected using a 514.5 nm Ar-ion laser excitation source in back-scattering configuration mode.Principal component-linear discriminate analysis (PC-LDA) models of resulting cell spectra were generated and these were validated using a blind comparison. Sensitivities and specificities of > 72% and 90% respectively, for SurePath fixed cells, and > 93% and 98% respectively for 4% v/v formalin/PBS fixed cells was achieved. The higher prediction results for the formalin fixed cells can be attributed to a better signal-to-noise ratio for spectra obtained from these cells.Following on from this work, urological cell lines were exposed to urine for up to 12 hours to determine the effect of urine on the ability to classify these cells. Results indicate that urine has no detrimental effect on prediction results.

Molecular mechanisms of metastasis in prostate cancer.

Prostate cancer (PCa) preferentially metastasizes to the bone marrow stroma of the axial skeleton. This activity is the principal cause of PCa morbidity and mortality. The exact mechanism of PCa metastasis is currently unknown, although considerable progress has been made in determining the key players in this process. In this review, we present the current understanding of the molecular processes driving PCa metastasis to the bone.

Characterization of the Hoechst 33342 side population from normal and malignant human renal epithelial cells.

The fundamental changes which predispose for renal cell carcinoma (RCC) are poorly characterized. It is hypothesized that "cancer stem cells" may be influential in carcinogenesis, and the epithelial side population (SP) is enriched for stemlike cells in other epithelial cancers. In this study, we have isolated and characterized the SP and non-SP (NSP) populations from normal (NK) and malignant (RCC) human kidney tissue. NK specimens were taken from patients undergoing non-renal cancer surgery and paired malignant and macroscopically normal tissue samples were taken from patients undergoing surgery for RCC. The Hoechst 33342 dye efflux technique was used to isolate epithelial SP and NSP from normal and malignant human renal tissue. Cellular subpopulations were phenotyped for lineage, cell cycle, and putative stem cell markers, and functionally characterized using in vitro colony-forming and proliferation assays. The SP constituted 3.8 +/- 0.4 and 5.9 +/- 0.9% of epithelial cells in NK and RCC, respectively, of which 14.1 +/- 3.5 and 13.2 +/- 3.6% were shown to be in G(0). SP cells demonstrated greater proliferative potential in colony-forming efficiency, long-term culture, and spheroids assays and were shown to be maintained upon tissue culture passage. We have shown that the renal SP is enriched for quiescent cells, with a high proliferative capacity and stemlike properties. The population is, however, heterogeneous, confirming that the terms "SP cell" and "stem cell" cannot be used interchangeably.

Characterization of benign and malignant prostate epithelial Hoechst 33342 side populations.

BACKGROUND: The prostate epithelial stem cell has been proposed as the primary origin of neoplastic change in prostate cancer. However, the isolation and characterization of unexpanded prostate epithelial stem cells have proven problematic. METHODS: A prostate epithelial side population (SP) has been isolated utilizing a modified Hoechst 33342 dye efflux assay from both benign and malignant prostate tissue. CD45(-ve), integrin alpha2(+ve) Hoechst 33342 SP and NSP cells were isolated by FACS, immunophenotyped and functionally characterized in 3D culture. RESULTS: FACS analysis revealed a verapamil sensitive SP accounting for 0.93 +/- 0.12% and 0.57 +/- 0.11% of the total epithelial population from both benign and malignant prostates. The benign SP phenotype revealed a heterogeneous cell population consisting predominantly of small basal cells containing minimal cytoplasm. Conversely, the malignant SP was of undetermined acinar origin and with a complete loss of expression of the CDK2 inhibitor p21(WAF1/Cip1). In vitro androgen-enhanced 3D culture of the benign and malignant SP cells led to the production of spheroids which had acinus like morphology and expressed primitive and basal cell markers. Incorporation of the CD133 marker isolated a further SP sub-fraction accounting for 0.037 +/- 0.01% of epithelial cells. CONCLUSIONS: Our observations are consistent with the Hoechst 33342 dye efflux assay isolating a stem cell enriched population which can be further sub-fractionated by CD133 selection. Moreover, the loss of the CDK inhibitor in malignancy is consistent with the hypothesis that neoplastic change originates in the stem cell compartment.