rIFN-gamma-mediated growth suppression of platinum-sensitive and -resistant ovarian tumor cell lines not dependent upon arginase inhibition.

BACKGROUND: Arginine metabolism in tumor cell lines can be influenced by various cytokines, including recombinant human interferon-gamma (rIFN-gamma), a cytokine that shows promising clinical activity in epithelial ovarian cancer (EOC). METHODS: We examined EOC cell lines for the expression of arginase in an enzymatic assay and for transcripts of arginase I and II, inducible nitric oxide synthase (iNOS), and indoleamine 2,3-dioxygenase (IDO) by reverse transcription-polymerase chain reaction. The effects of rIFN-gamma on arginase activity and on tumor cell growth inhibition were determined by measuring [3H]thymidine uptake. RESULTS: Elevated arginase activity was detected in 5 of 8 tumor cell lines, and analysis at the transcriptional level showed that arginase II was involved but arginase I was not. rIFN-gamma reduced arginase activity in 3 EOC cell lines but increased activity in the 2008 cell line and its platinum-resistant subline, 2008.C13. iNOS transcripts were not detected in rIFN-gamma-treated or untreated cell lines. In contrast, IDO activity was induced or increased by rIFN-gamma. Suppression of arginase activity by rIFN-gamma in certain cell lines suggested that such inhibition might contribute to its antiproliferative effects. However, supplementation of the medium with polyamine pathway products did not interfere with the growth-inhibitory effects of rIFN-gamma EOC cells. CONCLUSIONS: Increased arginase activity, specifically identified with arginase II, is present in most of the tested EOC cell lines. rIFN-gamma inhibits or stimulates arginase activity in certain EOC cell lines, though the decrease in arginase activity does not appear to be associated with the in vitro antiproliferative activity of rIFN-gamma. Since cells within the stroma of EOC tissues could also contribute to arginine metabolism following treatment with rIFN-gamma or rIFN-gamma-inducers, it would be helpful to examine these effects in vivo.

Arabinosylguanine: Metabolism, action, and lineage-specific cytotoxicity in human leukemia cells

9-β-D-arabinosylguanine (ara-G), an analogue of deoxyguanosine, has demonstrated T-lymphoblast selective anti-leukemia activity both in vitro and in vivo in cell lines and primary cells and in phase I investigations. The present work was initiated to identify factors that result in this selectivity. ^ The cytotoxicity of ara-G is manifest only after its phosphorylation. Experiments using cell lines transfected to overexpress specific nucleoside kinases demonstrated that the phosphorylation of ara-G to its monophosphate is by both cytoplasmic deoxycytidine kinase and mitochondria) deoxyguanosine kinase. Ara-G monophosphate is converted to its 5′-triphosphate (ara-GTP) in cells by these kinases and then incorporated into DNA. Mechanistic studies demonstrated that incorporation of ara-GTP into DNA was a necessary event for the induction of cell death. ^ Pharmacokinetic and pharmacodynamic studies utilizing three human acute leukemia cell lines, CEM (T-lymphoblastic), Raji (B-lymphoblastic), and ML-1 (myeloid) were performed. CEM cells were most sensitive to ara-G-induced inhibition of colony formation, accumulated ara-GTP at a faster rate and to a greater degree than either Raji or ML-1, but incorporated the lowest number of ara-G molecules into DNA. The position of incorporation was internal and similar in all cell lines. The terminal elimination phase of ara-GTP was >24 h and similar in these cells. Comparisons between inhibition of colony formation and ara-GTP incorporation into DNA demonstrated that while within a cell line there was correlation among these parameters, between cell lines there was no relationship between number of incorporated ara-G molecules and ara-G(TP)-mediated toxicity suggesting that there were additional factors. ^ The expression of membrane bound Fas and Fast was unchanged in all cell lines. In contrast, there was a 2-fold increase in soluble Fast, which was found exclusively in CEM cells. Ara-G-mediated apoptosis in CEM occurred from all phases of the cell cycle and was abrogated partially by Fas antagonist antibodies. These data suggest that Fas-mediated cell death due to the liberation of sFasL may be responsible for the hypersensitivity to ara-G manifested by immature T-cells such as CEM. The role of Fas in ara-G induced death of acute T-lymphoblastic leukemia cells during therapy needs to be tested. ^

Application of cell line based genomic predictors to predict response to targeted therapies in breast cancer

Cancer cell lines can be treated with a drug and the molecular comparison of responders and non-responders may yield potential predictors that could be tested in the clinic. It is a bioinformatics challenge to apply the cell line-derived multivariable response predictors to patients who respond to therapy. Using the gene expression data from 23 breast cancer cell lines, I developed three predictors of dasatinib sensitivity by selecting differentially expressed genes and applying different classification algorithms. The performance of these predictors on independent cell lines with known dasatinib response was tested. The predictor based on weighted voting method has the best overall performance. It correctly predicted dasatinib sensitivity in 11 out of 12 (92%) breast and 17 out of 23 (74%) lung cancer cell lines. These predictors were then applied to the gene expression data from 133 breast cancer patients in an attempt to predict how the patients might respond to dasatinib therapy. Two predictors identified 13 patients in common to be dasatinib sensitive. Sixty two percent of these cases are triple negative (ER-negative, HER2-negative and PR-negative) and 76% are double negative. The result is consistent with the findings from other studies, which identified a target population for dasatinib treatment to be triple negative or basal breast cancer subtype. In conclusion, we think that the cell line-derived dasatinib classifiers can be applied to the human patients. ^

Design, Calibration, and Evaluation of Depth-of-Interaction-Capable PET Detector Modules

High-resolution, small-bore PET systems suffer from a tradeoff between system sensitivity, and image quality degradation. In these systems long crystals allow mispositioning of the line of response due to parallax error and this mispositioning causes resolution blurring, but long crystals are necessary for high system sensitivity. One means to allow long crystals without introducing parallax errors is to determine the depth of interaction (DOI) of the gamma ray interaction within the detector module. While DOI has been investigated previously, newly available solid state photomultipliers (SSPMs) well-suited to PET applications and allow new modules for investigation. Depth of interaction in full modules is a relatively new field, and so even if high performance DOI capable modules were available, the appropriate means to characterize and calibrate the modules are not. This work presents an investigation of DOI capable arrays and techniques for characterizing and calibrating those modules. The methods introduced here accurately and reliably characterize and calibrate energy, timing, and event interaction positioning. Additionally presented is a characterization of the spatial resolution of DOI capable modules and a measurement of DOI effects for different angles between detector modules. These arrays have been built into a prototype PET system that delivers better than 2.0 mm resolution with a single-sided-stopping-power in excess of 95% for 511 keV g's. The noise properties of SSPMs scale with the active area of the detector face, and so the best signal-to-noise ratio is possible with parallel readout of each SSPM photodetector pixel rather than multiplexing signals together. This work additionally investigates several algorithms for improving timing performance using timing information from multiple SSPM pixels when light is distributed among several photodetectors.