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.

[EX Q]: Context: RNA editing is the process whereby an RNA sequence is modified from the sequence of the corresponding DNA template. In the mitochondria of land plants, some cytidines are converted to uridines before translation. Despite substantial study, the molecular biological mechanism by which C-to-U RNA editing proceeds remains relatively obscure, although several experimental studies have implicated a role for cis-recognition. A highly non-random distribution of nucleotides is observed in the immediate vicinity of edited sites (within 20 nucleotides 5' and 3'), but no precise consensus motif has been identified.", "Data for analysis were derived from the the complete mitochondrial genomes of Arabidopsis thaliana, Brassica napus, and Oryza sativa; additionally, a combined data set of observations across all three genomes was generated. We selected datasets based on the 20 nucleotides 5' and the 20 nucleotides 3' of edited sites and an equivalently sized and appropriately constructed null-set of non-edited sites. We used tree-based statistical methods and random forests to generate models of C-to-U RNA editing based on the nucleotides surrounding the edited/non-edited sites and on the estimated folding energies of those regions. Tree-based statistical methods based on primary sequence data surrounding edited/non-edited sites and estimates of free energy of folding yield models with optimistic re-substitution-based estimates of approximately 0.71 accuracy, approximately 0.64 sensitivity, and approximately 0.88 specificity. Random forest analysis yielded better models and more exact performance estimates with approximately 0.74 accuracy, approximately 0.72 sensitivity, and approximately 0.81 specificity for the combined observations.\Question: Do simple statistical models predict C-to-U edited sites in plant mitochondrial RNA?
[EX A]: Simple models do moderately well in predicting which cytidines will be edited to uridines, and provide the first quantitative predictive models for RNA edited sites in plant mitochondria. Our analysis shows that the identity of the nucleotide -1 to the edited C and the estimated free energy of folding for a 41 nt region surrounding the edited C are the most important variables that distinguish most edited from non-edited sites. However, the results suggest that primary sequence data and simple free energy of folding calculations alone are insufficient to make highly accurate predictions.

[EX Q]: Context: Silibinin exerts hepatoprotective, anti-inflammatory and anti-fibrotic effects. Several pre-clinical studies have shown anti-tumoral activity of silibinin in breast cancer cell lines.', "We present the case of a heavily pre-treated breast cancer patient with extensive liver infiltration. The patient presented with progressive liver failure despite several chemotherapy treatments, including paclitaxel, capecitabine and vinorelbine. After four cycles of a fourth-line chemotherapy treatment consisting of carboplatin and gemcitabine, the patient's liver blood test results deteriorated to life-threatening levels. The compassionate use of Legasil®, a new commercially available nutraceutical product containing a new silibinin formulation, was offered to the patient according to article 37 of the 2013 Declaration of Helsinki. After treatment initiation, the patient presented clinical and liver improvement, which permitted the patient to continue palliative chemotherapy.\Question: Does silibinin administration improve hepatic failure due to extensive liver infiltration in a breast cancer patient?
[EX A]: This is the first case report of a clinical benefit of silibinin administration in a breast cancer patient.

[EX Q]: Context: Topiramate is a novel anticonvulsant known to modulate the activity of several ligand- and voltage-gated ion channels in neurons. The mechanism of action of topiramate, at a molecular level, is still unclear, but the phosphorylation state of the channel/receptor seems to be a factor that is able to influence its activity. We investigated the consequences of phosphorylation of the sodium channel on the effect of topiramate on tetrodotoxin (TTX)-sensitive transient Na(+) current (I(NaT)).', 'I(NaT) was recorded in dissociated neurons of rat sensorimotor cortex using whole-cell patch-clamp configuration.', 'We found that topiramate (100 microM) significantly shifted the steady-state I(NaT) inactivation curve in a hyperpolarized direction. In neurons pre-treated with a PKC-activator, 1-oleoyl-2-acetyl-sn-glycerol (OAG; 2 microM), the net effect of topiramate on steady-state I(NaT) inactivation was significantly decreased. In addition, OAG also slightly shifted the I(NaT) activation curve in a hyperpolarized direction, while perfusion with topiramate had no effect on the parameters of I(NaT) activation.\Question: Does phosphorylation of sodium channels mediated by protein kinase-C modulate inhibition by topiramate of tetrodotoxin-sensitive transient sodium current?
[EX A]:
These data show that PKC-activation can modulate the effect of topiramate on I(NaT). This suggests that channel phosphorylation in physiological or pathological conditions (such as epiliepsy), can alter the action of topiramate on sodium currents.