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.
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Question: Context: Progress in the management of patients with medically intractable epilepsy is impeded because we do not fully understand why pharmacoresistance happens and how it can be predicted. The presence of multiple seizures prior to medical treatment has been suggested as a potential predictor of poor outcome. In the present study, we used an animal model of temporal lobe epilepsy to investigate whether pharmacoresistant rats differ in seizure frequency from pharmacoresponsive animals.', 'Epilepsy with spontaneous recurrent seizures (SRS) was induced by status epilepticus. Frequency of SRS was determined by video/EEG (electroencephalography) monitoring in a total of 33 epileptic rats before onset of treatment with phenobarbital (PB).', 'Thirteen (39%) rats did not respond to treatment with PB. Before treatment with PB, average seizure frequency in PB nonresponders was significantly higher than seizure frequency in responders, which, however, was due to six nonresponders that exhibited > 3 seizures per day. Such high seizure frequency was not observed in responders, demonstrating that high seizure frequency predicts pharmacoresistance in this model, but does not occur in all nonresponders.\Question: Is high seizure frequency prior to antiepileptic treatment a predictor of pharmacoresistant epilepsy in a rat model of temporal lobe epilepsy?

Answer: The data from this study are in line with clinical experience that the frequency of seizures in the early phase of epilepsy is a dominant risk factor that predicts refractoriness. However, resistance to treatment also occurred in rats that did not differ in seizure frequency from responders, indicating that disease severity alone is not sufficient to explain antiepileptic drug (AED) resistance. These data provide further evidence that epilepsy models are useful in the search for predictors and mechanisms of pharmacoresistance.


Question: Context: Hyperoxia increases oxidative stress through the generation of reactive oxygen species and may therefore enhance inflammation in the lungs. The aim of this study was to investigate whether short term supplementary oxygen (28%) increases oxidative stress and inflammation in the airways by measuring 8-isoprostane and interleukin 6 (IL-6) concentrations in exhaled breath condensate.', 'Twenty three healthy subjects (12 men, mean (SD) age 48 (7) years) and 23 patients with chronic obstructive pulmonary disease (COPD; 15 men, mean (SD) age 56 (5) years) were studied. 8-isoprostane and IL-6 concentrations were measured by immunoassay.', 'Increased concentrations of 8-isoprostane and IL-6 were found in all subjects after breathing 28% oxygen for 1 hour. In healthy subjects the concentrations of 8-isoprostane and IL-6 were 10.9 (2.9) pg/ml and 4.9 (0.8) pg/ml, respectively, compared with baseline concentrations of 6.1 (1.3) pg/ml and 2.9 (0.6) pg/ml, and in patients with COPD the concentrations were 27.9 (3.1) pg/ml and 8.3 (1.2) pg/ml), respectively, compared with baseline concentrations of 18.9 (3.6) pg/ml and 6.3 (0.6) pg/ml. By contrast, breathing air through the same face mask for 1 hour had no significant effects on 8-isoprostane or IL-6 concentrations in normal subjects or those with COPD.\Question: Does supplementary oxygen in healthy subjects and those with COPD increase oxidative stress and airway inflammation?

Answer: These findings suggest that short term supplementary oxygen may enhance oxidative stress and inflammation in the airways. Whether this happens with long term oxygen therapy needs to be determined.


Question: Context: The long noncoding RNA HOTAIR has been reported to be a good biomarker for poor prognosis in a variety of human cancers. However, whether HOTAIR could serve as novel biomarker to predict prognosis in cervical cancer or not is unknown. The aim of the present study was to examine the expression of HOTAIR in cervical cancers and to investigate the relationship between this lncRNA expression levels and existing clinicopathological factors and patient survival.', 'We examined the expression of HOTAIR in 218 cervical cancer tissues and matched 218 adjacent normal tissues using quantitative real-time RT-PCR and analyzed its correlation with the clinical parameters.', 'The results showed that HOTAIR expression in cervical cancer tissues was significantly upregulated compared with the matched nontumorous tissues (P < 0.0001). Increased HOTAIR expression was significantly correlated with FIGO stage (P < 0.0001), lymph node metastasis (P < 0.0001), depth of cervical invasion (P < 0.0001), tumor size (P = 0.006) and age (P = 0.020), but not other clinical characteristics. Moreover, cervical cancer patients with HOTAIR higher expression have shown significantly poorer overall survival (P < 0.0001) and disease-free survival (P < 0.0001) than those with lower HOTAIR expression. Univariate (P < 0.0001, HR = 4.566, 95 % CI 2.122-9.825) and multivariate (P = 0.012, HR = 2.863, 95 % CI 1.263-76.490). Cox regression analyses showed that HOTAIR expression served as an independent predictor for overall survival.\Question: Does overexpression of long noncoding RNA HOTAIR predict a poor prognosis in patients with cervical cancer?

Answer:
our data indicate that high expression of HOTAIR is involved in cervical cancer progression and could be a potential target for diagnosis and gene therapy.