TASK DEFINITION: Given a passage, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating questions that (i) can't be answered correctly without actually understanding the passage and (ii) uses the same words or phrases given in the passage.
PROBLEM: Recent studies have suggested that the percent of positive cores in the prostate needle biopsy is a significant predictor of outcome among men undergoing radical prostatectomy or radiation therapy for prostate cancer. We evaluate whether either percent of cores with cancer or percent of cores positive from the most and least involved side of the prostate needle biopsy was associated with a worse outcome among men treated with radical prostatectomy.', 'A retrospective survey of 1,094 patients from the SEARCH Database treated with radical prostatectomy at 4 different equal access medical centers in California between 1988 and 2002 was undertaken. We used multivariate analysis to examine whether total percent of prostate needle biopsy cores with cancer, percent of cores positive from each side of the prostate and other clinical variables were significant predictors of adverse pathology and time to prostate specific antigen (PSA) recurrence following radical prostatectomy.', 'On multivariate analysis serum PSA and percent of positive cores were significant predictors of positive surgical margins, nonorgan confined disease and seminal vesicle invasion. Percent of positive cores (p <0.001), serum PSA (p = 0.008) and biopsy Gleason score (p = 0.014) were significant independent predictors of time to biochemical recurrence. On a separate multivariate analysis that included the variables of total percent of positive cores, percent of positive cores from the most involved side of the biopsy, percent of positive cores from the least involved side of the biopsy and whether the biopsy was positive unilaterally or bilaterally, only the percent of positive cores from the most involved side of the biopsy was a significant independent predictor of PSA failure following radical prostatectomy. Percent of positive cores was used to separate patients into a low risk (less than 34%), intermediate risk (34% to 50%) and high risk (greater than 50%) groups, which provided significant preoperative risk stratification for PSA recurrence following radical prostatectomy (p <0.001). Percent of positive cores cut points were able to further risk stratify men who were at low (p = 0.001) or intermediate (p = 0.036) but not high (p = 0.674) risk for biochemical failure based on serum PSA and biopsy Gleason score.

SOLUTION: Is percent of prostate needle biopsy cores with cancer significant independent predictor of prostate specific antigen recurrence following radical prostatectomy : results from SEARCH database?

PROBLEM: To explore the antitumoral effect of indirubin on androgen-independent prostate cancer PC-3 cells and its possible mechanisms.', 'We measured the inhibitory effect of indirubin on the proliferation of prostate cancer PC-3 cells using MTT assay, detected their cell cycles by flow cytometry, and determined the expressions of the cell cycle regulatory protein cyclin D1 and its related downstream gene c-myc by Western blot.', 'The viability of the PC-3 cells was significantly decreased by indirubin in a concentration-dependent manner, reduced to 52. 2% and 13. 6% at 5 and 10 mol/L, respectively. The cell cycle of the PC-3 cells was markedly inhibited by indirubin at 5 mol/L, with the cells remarkably increased in the G0 and G1 phases and decreased in the S and G2/M phases. Meanwhile, indirubin also inhibited the expressions of cyclin D1 and c-myc in the Wnt signaling pathway.

SOLUTION: Does [ Indirubin inhibit the proliferation of prostate cancer PC-3 cells ]?

PROBLEM: Glioma differentiation therapy is a novel strategy that has been used to induce glioma cells to differentiate into glia-like cells. Although some advances in experimental methods for exploring the molecular mechanisms involved in differentiation therapy have been made, a model-based comprehensive analysis is still needed to understand these differentiation mechanisms and improve the effects of anti-cancer therapeutics. This type of analysis becomes necessary in stochastic cases for two main reasons: stochastic noise inherently exists in signal transduction and phenotypic regulation during targeted therapy and chemotherapy, and the relationship between this noise and drug efficacy in differentiation therapy is largely unknown.', 'In this study, we developed both an additive noise model and a Chemical-Langenvin-Equation model for the signaling pathways involved in glioma differentiation therapy to investigate the functional role of noise in the drug response. Our model analysis revealed an ultrasensitive mechanism of cyclin D1 degradation that controls the glioma differentiation induced by the cAMP inducer cholera toxin (CT). The role of cyclin D1 degradation in human glioblastoma cell differentiation was then experimentally verified. Our stochastic simulation demonstrated that noise not only renders some glioma cells insensitive to cyclin D1 degradation during drug treatment but also induce heterogeneous differentiation responses among individual glioma cells by modulating the ultrasensitive response of cyclin D1. As such, the noise can reduce the differentiation efficiency in drug-treated glioma cells, which was verified by the decreased evolution of differentiation potential, which quantified the impact of noise on the dynamics of the drug-treated glioma cell population.

SOLUTION:
Does stochastic modeling suggest that noise reduces differentiation efficiency by inducing a heterogeneous drug response in glioma differentiation therapy?