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.

Example Input: 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?
Example Output: 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.

Example Input: Context: Mucus hypersecretion and neutrophil infiltration are important characteristics of airway inflammation. Epidermal growth factor receptor (EGFR) transactivation induces mucus and inflammatory cytokine secretion from airway epithelial cells. To elucidate the roles of EGFR in airway inflammation, the in vitro effects on mucin production and interleukin (IL) 8 secretion from cultured airway epithelial cells and the in vivo effects on mucus hypersecretion and neutrophil infiltration in rat nasal mucosa of the EGFR tyrosine kinase inhibitor AG1478 were examined.', 'The in vitro effects of AG1478 treatment of cultured NCI-H292 cells on lipopolysaccharide (LPS) induced or tumor necrosis factor (TNF) α induced MUC5AC mucin and IL-8 secretion were evaluated. Hypertrophic and metaplastic changes of goblet cells, mucus production and neutrophil infiltration in rat nasal epithelium were induced by intranasal instillation of LPS in vivo, and the inhibitory effects of AG1478 by intraperitoneal injection or intranasal instillation were examined.', 'AG1478 (1-1000 nM) significantly inhibited both LPS-induced and TNF-α-induced secretion of MUC5AC and IL-8 from cultured NCI-H292 cells in a dose-dependent manner. The expression of MUC5AC and IL-8 messenger RNAs was also significantly inhibited. Intranasal instillation of AG1478 one hour after intranasal LPS instillation significantly inhibited LPS-induced goblet cell metaplasia, mucus production, and neutrophil infiltration in rat nasal epithelium, as did intraperitoneal injection of AG1478 one hour before LPS instillation.\Question: Does epidermal growth factor receptor inhibitor AG1478 inhibit mucus hypersecretion in airway epithelium?
Example Output: These results indicated that EGFR transactivation plays an important role in mucin and IL-8 secretion from airway epithelial cells. Intranasal instillation of an EGFR tyrosine kinase inhibitor may be a new therapeutic approach for the treatment of upper airway inflammation.

Example Input: Context: We investigated in vitro whether IL-1beta and TGF-beta1 affect pancreatic cancer cell growth, adhesion to the extracellular matrix and Matrigel invasion.', 'Adhesion to fibronectin, laminin and type I collagen, and Matrigel invasion after stimulation with saline, IL-1beta and TGF-beta1 were evaluated using three primary and three metastatic pancreatic cancer cell lines.', 'Extracellular matrix adhesion of control cells varied independently of the metastatic characteristics of the studied cell lines, whereas Matrigel invasion of control cells was partly correlated with the in vivo metastatic potential. IL-1beta did not influence extracellular matrix adhesion, whereas it significantly enhanced the invasiveness of three of the six cell lines. TGF-beta1 affected the adhesion of one cell line, and exerted contrasting effects on Matrigel invasion of different cell lines.\Question: Is pancreatic cancer cells invasiveness mainly affected by interleukin-1beta not by transforming growth factor-beta1?
Example Output:
IL-1beta enhances the invasive capacity of pancreatic cancer cells, whereas TGF-beta1 has paradoxical effects on pancreatic cancer cells; this makes it difficult to interfere with TGF-beta1 signaling in pancreatic cancer treatment.