MALDI imaging-based classification of hepatocellular carcinoma and non-malignant lesions in fibrotic liver tissue.

Histopathologic differentiation of nodular lesions in cirrhotic liver is difficult even for experienced hepatopathologists especially regarding diagnosis of hepatocellular carcinoma (HCC) in biopsies. For this reason, new tissue markers are needed to reinforce histopathologic decision-making. With advances in molecular techniques, proteomic analysis may help to confirm the diagnosis of HCC. Matrix-assisted laser desorption/ionization imaging mass spectrometry (MALDI IMS) is a powerful technology which allows to determine and to localize proteins directly in tissue sections. Using MALDI IMS proteomic patterns of cryosections with lesions of HCC (n = 15) and non-malignant fibrotic liver tissue (n = 11) were investigated to establish a classification model of HCC, which was validated in an independent set of tissue to distinguish HCC (n = 10) from regenerative nodules (n = 8). By correlating generated mass spectrometric images with the histology of the tissue sections we found that the expression of 4 proteins as indicated by m/z 6274, m/z 6647, m/z 6222 and m/z 6853 was significantly higher in HCC tissue than in non-tumorous liver tissue. The generated classification model based on the most significant 3 differentially expressed proteins allowed a reliable prediction of benign and malignant lesions in fibrotic liver tissue with a sensitivity and specificity of 90 % in the validation set. The identified MALDI IMS proteomic signature can be diagnostically helpful to allow simplifying the diagnostic process and minimize the risks of delays in establishing the objective final diagnosis and initiating treatment of patients with HCC.

Classification and prediction of HCC tissues by Raman imaging with identification of fatty acids as potential lipid biomarkers.

PURPOSE: Patients with hepatocellular carcinoma (HCC) can only be treated curatively at early stages and then have a favorable prognosis of this often fatal disease. For this reason, an early detection and diagnostic confirmation are crucial. Raman imaging spectroscopy is a promising technology for high-resolution visualization of the spatial distribution of molecular composition in tissue sections. The aim of this study was to investigate molecular information of liver tissue by Raman imaging for classification and diagnostic prediction. METHODS: Unstained cryosections of human hepatic tissues (23 patients) were measured by Raman spectroscope in the regions of HCC (n = 12) and fibrosis (n = 17). The acquired data set was used to generate a random forest classification model with 101 iterations of sevenfold cross-validation. The models obtained during cross-validation were also used to predict regions of tumor margin (n = 8) aside from independent testing. RESULTS: Raman spectra differed between malignant and non-malignant tissue regions. Based on these spectral data, a random forest classification model calculated a prediction accuracy of 86 % (76 % sensitivity and 93 % specificity). The ten most important variables were identified at 2895, 2856, 1439, 1298, 1080, 1063, 1023, 937, 920, and 719 cm(-1). CONCLUSIONS: In this study, Raman imaging spectroscopy was applied successfully for liver tissue to differentiate, classify, and predict with high accuracy malignant and non-malignant tissue regions. Furthermore, the most important differences were identified as the Raman signature of fatty acids. The demonstrated results highlight the enormous potential which vibrational spectroscopy techniques have for the future diagnostics and prognosis estimation of HCC.

Discrimination and classification of liver cancer cells and proliferation states by Raman spectroscopic imaging.

Discrimination of nodular lesions in cirrhotic liver is a challenge in the histopathologic diagnostics. For this reason, there is an urgent need for new detection methods to improve the accuracy of the diagnosis of liver cancer. Raman imaging allows to determine the spatial distribution of a variety of molecules in cells or tissue label-free and to correlate this molecular information with the morphological structures at the same sample location. This study reports investigations of two liver cancer cell lines, - HepG2 and SK-Hep1, - as well as HepG2 cells in different cellular growth phases using Raman micro-spectroscopic imaging. Spectral data of all cells were recorded as a color-coded image and subsequentially analyzed by hierarchical cluster and principal component analysis. A support vector machine-based classification algorithm reliably predicts previously unknown cancer cells and cell cycle phases. By including selectively the Raman spectra of the cytoplasmic lipids in the classifier, the accuracy has been improved. The main spectral differences that were found in the comparative analysis can be attributed to a higher expression of unsaturated fatty acids in the hepatocellular carcinoma cells and during the proliferation phase. This corresponds to the already examined de novo lipogenesis in cells of liver cancer.

Surveillance strategies in inflammatory bowel disease.

Patients with longstanding ulcerative colitis (UC) are at increased risk of developing colorectal cancer (CRC). Although data for CRC risk in Crohn's disease (CD) are limited, it has been suggested that the risk is comparable to UC. Current strategies for the prevention and early detection of cancer in this high risk population are based on the concept of an inflammation-neoplasia-carcinoma sequence. To reduce CRC mortality in inflammatory bowel disease (IBD), colonoscopic surveillance with random and targeted biopsies are recommended to detect early neoplasia. The introduction of novel endoscopic techniques such as conventional or virtual chromoendoscopy to facilitate targeted biopsies or confocal laser endomicroscopy to further characterise suspicious lesions has become increasingly associated with enhanced neoplasia detection. However, there is only indirect evidence that such surveillance strategies are likely to be effective in reducing the risk of death from IBD-associated CRC. Furthermore, new data suggests that surveillance strategies largely based upon disease duration are leading to delayed or missed diagnosis of early CRC in a substantial number of patients. Therefore, current surveillance guidelines seem to lack efficacy and need to be reassessed.

Exaggerated inflammatory response of primary human myeloid dendritic cells to lipopolysaccharide in patients with inflammatory bowel disease.

Inflammatory bowel disease (IBD) results from a breakdown of tolerance towards the indigenous flora in genetically susceptible hosts. Failure of dendritic cells (DC) to interpret molecular microbial patterns appropriately when directing innate and adaptive immune responses is conceivable. Primary (conventional, non-monocyte generated) CD1c(+)CD11c(+)CD14(-)CD16(-)CD19(-) myeloid blood or mucosal dendritic cells (mDC) from 76 patients with Crohn's disease (CD) or ulcerative colitis (UC) in remission, during flare-ups (FU) and 76 healthy or non-IBD controls were analysed by fluorescence activated cell sorter (FACS) flow cytometry and real-time polymerase chain reaction. Cytokine secretion of freshly isolated, cultured and lipopolysaccharide (LPS)-stimulated highly purified mDC (purity >95%) was assessed using cytometric bead arrays (CBA). More cultured and stimulated circulating mDC express CD40 in IBD patients. Stimulated circulating mDC from IBD patients secrete significantly more tumour necrosis factor (TNF)-alpha and interleukin (IL)-8. Toll-like receptor (TLR)-4 expression by mDC was higher in remission and increased significantly in flaring UC and CD patients compared with remission (P < 0.05) and controls (P < 0.001). Fluorochrome-labelled LPS uptake by mDC was evaluated at different time-points over 24 h by measuring mean fluorescence intensity (MFI). Circulating mDC from IBD patients take up more LPS and the uptake begins earlier compared with controls (P < 0.05 in CD-FU and UC-FU at 24 h). The frequency of mucosal mDC (P < 0.05) and the number of CD40 expressing mucosal mDC is significantly greater in UC and CD compared with non-IBD controls (P < 0.001 versus P < 0.01, respectively). Our data suggest an aberrant LPS response of mDC in IBD patients, resulting in an inflammatory phenotype and possibly intestinal homing in acute flares.

Changing nurses' pain assessment practice: a collaborative research utilization approach.

It is not uncommon for a decade to pass between the time a research problem is identified and the time that research-based solutions are translated into standards for care. This quasi-experimental study demonstrated the effectiveness of a collaborative research utilization model directed towards the transfer of specific research-based knowledge (pain assessment) into practice for the purpose of helping to solve pain management problems. At the same time, nurses who participated in the model significantly improved their competency in research utilization and their attitudes towards research when compared to a control group who did not participate in the model.

Image enhancement. Developing a program for perioperative nurses.

An image campaign focuses on the strengths of nurses to promote nursing, and in doing so, helps nurses rediscover the values and commitment that are at the heart of the profession. Nursing's image will change when nurses themselves change.