In this task, you are given a passage which has a question and the context. You have to generate an answer to the question based on the information present in the context.

[Q]: Context: The differential intestinal metabolism of the soy isoflavones is likely to influence the ability of soy to prevent prostate cancer. While daidzein, genistein, and equol have direct antiproliferative effects on prostatic epithelial cells in vitro, there are no such data for the isoflavone glycitein, or seven metabolites: O-desmethylangolensin (ODMA), 6-hydroxyODMA (6H-ODMA), dihydrodaidzein (DHD), cis-4-hydroxyequol (C4HE), 3'-hydroxydaidzein (3HD), 6-hydroxydaidzein (6HD), and 8-hydroxydaidzein (8HD). In the current study, the in vitro activities of these compounds were elucidated, and the active ranges of concentrations were compared to that found in Caucasian prostatic fluid (PF) and plasma samples.", 'The effects of isoflavonoids on cell growth, cell cycle distribution, and apoptosis (active Caspase 3) were examined on benign prostatic epithelial cells (PrEC), and the prostate cancer cell line LNCaP.', 'PF concentrations of genistein, equol, and daidzein (but not ODMA or DHD) were often within the ranges that reduce PrEC growth in vitro. Profound differences in sensitivities were observed with LNCaP. The hydroxydaidzeins, C4HE, and 6H-ODMA had significant inhibitory effects at 10(-5)M on PrEC growth (but not LNCaP). Glycitein had significant effects on both. Reductions in cell growth were typically associated with both changes in cell cycle distribution and Caspase 3 activation. When five isoflavonoids were used in combination at concentrations present in PF samples, synergistic effects were observed.\Question: Are prostatic fluid concentrations of isoflavonoids in soy consumers sufficient to inhibit growth of benign and malignant prostatic epithelial cells in vitro?
[A]: The profound differences in sensitivities of prostatic epithelial cells to these compounds along with their synergistic effects suggest that multiple metabolites in vivo may be optimal for preventing prostate cancer.


[Q]: Context: Non-viral gene transfer efficiency is low as compared to viral vector systems. Here we describe the discovery of new drugs that are capable of enhancing non-viral gene transfer into mammalian cells using a novel two-stage screening procedure.', 'First, potential candidates are preselected from a molecular library at various concentrations by a semi-automated yeast transfection screen (YTS). The maximal transfection efficiency of every positive drug is subsequently determined in independent experiments at the optimal concentration and compared to the inhibitory effect of the drug on cell growth (IC50). In a subsequent mammalian cell transfection screen (MTS), the maximal transfection efficiency and the IC50 are determined for all preselected drugs using a human cell line and a luciferase reporter gene construct.', 'Employing our novel system we have been able to identify a new class of transfection enhancers, the tricyclic antidepressants (i.e. doxepin, maprotiline, desipramine and amoxapine). All positive drugs enhanced gene transfer in both yeast and human cell lines, but lower concentrations were sufficient for mammalian cells. With a triple combination of doxepin, amoxapine and chloroquine we obtained a transfection efficiency that exceeded that of chloroquine, one of the best-known transfection enhancers of mammalian cells, by nearly one order of magnitude.\Question: Does novel two-stage screening procedure lead to the identification of a new class of transfection enhancers?
[A]: Non-viral gene transfer efficiency can be increased significantly using new transfection enhancers that are identified by a novel, semi-automated two-stage screening system employing yeast cells in the first and specific human target cells in the second round.


[Q]: Context: Most of the information in Electronic Health Records (EHRs) is represented in free textual form. Practitioners searching EHRs need to phrase their queries carefully, as the record might use synonyms or other related words. In this paper we show that an automatic query expansion method based on the Unified Medicine Language System (UMLS) Metathesaurus improves the results of a robust baseline when searching EHRs.', 'The method uses a graph representation of the lexical units, concepts and relations in the UMLS Metathesaurus. It is based on random walks over the graph, which start on the query terms. Random walks are a well-studied discipline in both Web and Knowledge Base datasets.', 'Our experiments over the TREC Medical Record track show improvements in both the 2011 and 2012 datasets over a strong baseline.\Question: Does improving search over Electronic Health Records using UMLS-based query expansion through random walk?
[A]:
Our analysis shows that the success of our method is due to the automatic expansion of the query with extra terms, even when they are not directly related in the UMLS Metathesaurus. The terms added in the expansion go beyond simple synonyms, and also add other kinds of topically related terms.