Anticancer Therapies – Multimedia

RNA interference (RNAi) provides an experimental tool for functional genomics analysis. We screened a genome-wide RNAi library to identify new genes involved in lung cancer cell proliferation. 72 % from the 257 genes identified were involved in general gene expression processes, 16 % were of unknown function or unrelated to proliferation, and 12% consisted of uncharacterized genes. These last sets of genes provide potential novel targets for lung cancer treatment.

This study aims to identify protein profiles in breast cancer cells as predictors of chemoresistance by using two-dimensional gel electrophoresis and MALDI-TOF peptide mass fingerprinting. Our findings provide further insights into the complex mechanisms of chemoresistance, as well as representing an attractive starting point for the identification of potential protein biomarkers to predict response to chemotherapy in breast cancer in vivo.

This study aimed to find individual up/down-regulated genes associated with progression and metastatic potential of colorectal cancers using low-density oligonucleotide microarrays spotted with genes known to be involved in process of metastasis development. We suppose that focusing on a particular biological pathway may be more useful than genome-wide screening for our purposes.

To improve screening efficiency, we have developed a cell cycle analysis method that uses an Acumen Explorer fluorescence microplate cytometer to measure the DNA content of propidium iodide stained fixed cells in microplates. We demonstrate that paclitaxel and vinblastine arrested CHO cells in the expected phase of the cell cycle.

The aim of present study was focused on the effect of silencing target gene in triggering of apoptosis in breast cancer MCF-7 cells. Flow cytometry, light-, confocal microscopy and viability/cytotoxicity tests were used for evaluation of the protein level, percentage of apoptotic cells and morphological features of cell death.

20 tuberculosis (12 slow-responders and 8 fast responders) patients were treated with directly observed short course anti-tuberculosis chemotherapy. Chest X-ray was performed. sICAM-1 and suPAR were measured in serum by ELISA, TNFRs using the luminex technology. General discrimination analysis on selected analytes gave, 91.66% and 87,50% correctly classify fast responders and slow responder respectively. The support vector machine analysis gave 100% correct classification.

The aim of this work was to investigate the interaction mechanism of the anthracyclines with the cytosolic reductases. Predictive models have been constructed by means of a molecular docking study, that offer utility in guiding the rational design of inhibitors of reductase activity.