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.

Example Input: Prostate cancer is one of the most common complex diseases with high leading cause of death in men. Identifications of prostate cancer associated genes and biomarkers are thus essential as they can gain insights into the mechanisms underlying disease progression and advancing for early diagnosis and developing effective therapies.', 'In this study, we presented an integrative analysis of gene expression profiling and protein interaction network at a systematic level to reveal candidate disease-associated genes and biomarkers for prostate cancer progression. At first, we reconstructed the human prostate cancer protein-protein interaction network (HPC-PPIN) and the network was then integrated with the prostate cancer gene expression data to identify modules related to different phases in prostate cancer. At last, the candidate module biomarkers were validated by its predictive ability of prostate cancer progression.', 'Different phases-specific modules were identified for prostate cancer. Among these modules, transcription Androgen Receptor (AR) nuclear signaling and Epidermal Growth Factor Receptor (EGFR) signalling pathway were shown to be the pathway targets for prostate cancer progression. The identified candidate disease-associated genes showed better predictive ability of prostate cancer progression than those of published biomarkers. In context of functional enrichment analysis, interestingly candidate disease-associated genes were enriched in the nucleus and different functions were encoded for potential transcription factors, for examples key players as AR, Myc, ESR1 and hidden player as Sp1 which was considered as a potential novel biomarker for prostate cancer.
Example Output: Does integrative analysis reveal disease-associated genes and biomarkers for prostate cancer progression?

Example Input: Serotonergic dysfunction is implicated in depression, psychiatric disorders and suicidal behaviors. The first and rate-limiting step in the synthesis of serotonin is catalyzed by tryptophan hydroxylase (TPH) which is encoded by TPH1 and THP2 genes. Genetic association studies have revealed contradictory results about the effect of the TPH1 A218C (rs1800532) polymorphism on suicidal behavior in different populations.', "In this study, we investigated A218C polymorphism in 109 suicide attempters and 98 healthy controls. Socio-demographic characteristics of participants were obtained through questionnaire. DNA was extracted from peripheral blood and genotyping was performed by Real Time PCR. Fisher's exact test was used to evaluate the significance of the difference among the independent variables. Hardy-Weinberg equilibrium was tested using Pearson's goodness-of-fit chi-squared test.", 'The frequency of A allele was significantly higher in suicide attempters than controls (46.33% vs. 35.71%, p=0.0357). However, there were no differences in genotype frequencies of this locus between participants having attempted suicide and controls (p>0.05). Among males, frequencies of CC genotype and C allele were found to be significantly higher in controls (p=0.0125, p=0.0298). With regard to the female subjects and female controls, no significant association was detected between suicidal behavior and genotype/allele frequencies (p>0.05).
Example Output: Is tPH1 A218 allele associated with suicidal behavior in Turkish population?

Example Input: Arginine deiminase (ADI) and L-arginine (L-Arg) can act as anti-tumor agents in-vitro and in-vivo. However, the mechanism of ADI and L-Arg as anti-tumor agents has not been clearly shown.', 'With the goal of understanding the role of ADI and L-Arg in inhibition of cell growth, we used the Ramos human lymphoma cell line, which is known to be ADI-sensitive, and observed the p53 and NF-κBp65 protein expression after ADI and arginine treatment. After determining an optimal experimental ADI concentration (0.01 U/ml), we studied the effects of ADI treatment, when combined with different concentrations of L-arginine (control, ADI only, ADI with 10 mM/ml Arg, ADI with 30 mM/ml Arg, and ADI with 50 mM/ml Arg). An MTT assay was used to assess cell survival after treatment, Western blot analysis to determine the levels of the NF-κBp65, p53 and NO mediators and nitric oxide assays were used to determine nitrite levels.
Example Output:
Does l-arginine enhance arginine deiminase induced human lymphoma cell growth inhibition through NF-kBp65 and p53 expression in vitro?