Given a passage with a context and an answer, 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.

Input: Consider Input: Context: Some living kidney donors report lost income during recovery from surgery. Little is known about whether concern for living donor's lost income affects the decision to undergo donation evaluation and the willingness of transplant candidates to discuss living kidney donation (LKD) with others.", 'To examine whether transplant patients were told by potential donors about lost income concerns and whether patients chose not to discuss LKD with others due to lost income concerns.', "Kidney transplant patients (185 wait-listed candidates, 171 deceased donor recipients, and 100 live donor recipients) at 2 centers completed a questionnaire to assess whether concern about donor's lost income was a consideration in discussion about LKD with others.", 'One-third (32%) were told by a family member/friend that they were willing to donate but were concerned about potential lost income. The majority of those who expressed financial concern (64%) did not initiate donation evaluation. Many patients (42%) chose not to discuss living donation with a family member/friend due to concern about the impact of lost income on the donor. In the multivariable model, lower annual household income was the only statistically significant predictor of both having a potential donor expressing lost income concern and choosing not to talk to someone because of lost income concern.
Answer: Findings from the current study underscore how concern about income loss for living donors may affect decision-making by both transplant candidates and potential donors.

Output: Does concern for Lost Income Following Donation deter Some Patients From Talking to Potential Living Donors?

Input: Consider Input: Context: We utilized whole-genome mapping of promoters that are activated by DNA hypomethylation in hepatocellular carcinoma (HCC) clinical samples to shortlist novel targets for anticancer therapeutics. We provide a proof of principle of this approach by testing six genes short-listed in our screen for their essential role in cancer growth and invasiveness.', 'We used siRNA- or shRNA-mediated depletion to determine whether inhibition of these genes would reduce human tumor xenograft growth in mice as well as cell viability, anchorage-independent growth, invasive capacities, and state of activity of nodal signaling pathways in liver, breast, and bladder cancer cell lines.', 'Depletion of EXOSC4, RNMT, SENP6, WBSCR22, RASAL2, and NENF effectively and specifically inhibits cancer cell growth and cell invasive capacities in different types of cancer, but, remarkably, there is no effect on normal cell growth, suggesting a ubiquitous causal role for these genes in driving cancer growth and metastasis. Depletion of RASAL2 and NENF in vitro reduces their growth as explants in vivo in mice. RASAL2 and NENF depletion interferes with AKT, WNT, and MAPK signaling pathways as well as regulation of epigenetic proteins that were previously demonstrated to drive cancer growth and metastasis.
Answer: Our results prove that genes that are hypomethylated and induced in tumors are candidate targets for anticancer therapeutics in multiple cancer cell types. Because these genes are particularly activated in cancer, they constitute a group of targets for specific pharmacologic inhibitors of cancer and cancer metastasis. Clin Cancer Res; 20(12); 3118-32. ©️2014 AACR.

Output: Does genome-wide study of hypomethylated and induced genes in patients with liver cancer unravel novel anticancer targets?

Input: Consider Input: Context: Video-EEG monitoring in the epilepsy monitoring unit (EMU) is a limited clinical resource. Knowledge of the predicting factors for length of stay (LOS) in the EMU may allow providers to more efficiently utilize EMU bed space.', 'The records for all consecutive admissions to the EMU at the University of Colorado Hospital between December 1, 2010 and May 31, 2011 (n = 142) were retrospectively reviewed.', 'Univariate analyses focusing on variables known prior to admission showed that EMU LOS (in hours) was not significantly correlated with patient age, number of event types, or number of antiepileptic drugs at admission. Patients who were admitted to the EMU for event characterization had statistically significantly shorter average LOS than patients who had been admitted as a part of a presurgical evaluation. Patients who reported < = 1 seizure per week had a statistically significantly higher average LOS than patients who reported >= 1 seizure per day. These variables were also significantly predictive of total LOS (p < 0.0001 and p = 0.03, respectively) in multivariate analysis.
Answer: Pre-admission clinical variables may predict EMU LOS. These factors could be used at the administrative level for maximum EMU resource utilization.
Output: Do pre-admission clinical factors affect length of stay in the epilepsy monitoring unit?