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.

Input: Consider Input: Context: Non-small cell lung cancer (NSCLC) is one of the most common malignant tumors. Despite the advances in therapy over the years, its mortality remains high. The aim of this study was to evaluate the expression of small ubiquitin-like modifier (SUMO) proteases 1 (SENP1) in NSCLC tissues and its role in the regulation of vascular endothelial growth factor (VEGF) expression. We also investigated the association between the expression level of SENP1 and the clinicopathological features and survival of the patients.', 'A SENP1 small interfering RNA (siRNA) was constructed and transfected into the NSCLC cells. VEGF gene expression was analyzed by real-time polymerase chain reaction (RT-PCR). Immunohistochemistry staining was used to assess the expression of SENP1 in 100 NSCLC patients and its association with the clinicopathological features and survival was analyzed.', 'VEGF expression was significantly higher in NSCLC tissues than in normal lung tissues. Inhibition of SENP1 by siRNA was associated with decreased VEGF expression. SENP1 was over-expressed in 55 of the 100 NSCLC samples (55%) and was associated with a moderate and low histological tumor grade (3.6%, 38.2%, and 58.2% in high, moderate and low differentiated tumors, respectively, P = 0.046), higher T stage (10.9% in T1, and 89.1% in T2 and T3 tumor samples, P < 0.001) and TNM stage (10.9% in stage I, and 89.1% in stages II and III tumor samples, P < 0.001). The rate of lymph node metastasis was significantly higher in the SENP1 over-expression group (76.4%) than that in the SENP1 low expression group (33.3%, P < 0.001). Sixty three patients received postoperative chemotherapy, including 34 with SENP1 over-expression and 29 with SENP1 low expression. Among the 34 patients with SENP1 over-expression, 22 (64.7%) patients developed recurrence or metastasis, significantly higher than those in the low expression group 27.6% (8/29) (P = 0.005). Multivariate Cox regression analysis showed that lymph node metastasis (P = 0.015), TNM stage (P = 0.001), and SENP1 expression level (P = 0.002) were independent prognostic factors for the survival of NSCLC patients.\Question: Does over-expression of small ubiquitin-like modifier proteases 1 predict chemo-sensitivity and poor survival in non-small cell lung cancer?

Output: SENP1 may be a promising predictor of survival, a predictive factor of chemo-sensitivity for NSCLC patients, and potentially a desirable drug target for lung carcinoma target therapy.


Input: Consider Input: Context: Atopic dermatitis (AD) is a chronically relapsing, pruritic, eczematous skin disorder accompanying allergic inflammation. AD is triggered by oxidative stress and immune imbalance. The effect of oral arjunolic acid (AA) on 2,4-dinitrochlorobenzene (DNCB)-induced atopic dermatitis in mice was investigated.', 'Repeated epicutaneous application of DNCB to the ear and shaved dorsal skin of mice was performed to induce AD-like symptoms and skin lesions: 250mg/kg AA was given orally for three weeks to assess its anti-pruritic effects. Serum levels of tumor necrosis factor (TNF)-α, interleukin (IL)-4, IL-6, IL-10, immunoglobulin (Ig)E and caspase-3 were assessed by ELISA.', 'We found that AA alleviated DNCB-induced AD-like symptoms as quantified by skin lesions, dermatitis score, ear thickness and scratching behavior. Levels of reactive oxygen species in the AA group were significantly inhibited compared with those in the DNCB group. In parallel, AA blocked a DNCB-induced reduction in serum levels of IL-4 and IL-10 associated with an attenuation of DNCB-induced increases in serum TNF-α, IL-6, IgE and caspase-3.\Question: Does arjunolic acid protect against DNCB-induced atopic dermatitis-like symptoms in mice by restoring a normal cytokine balance?

Output: The results indicate that AA suppresses DNCB-induced AD in mice via redox balance and immune modulation, and could be a safe clinical treatment for AD.


Input: Consider Input: Context: The purpose of this study was to address the affects of mood modifying drugs on the transcriptome, in a tissue culture model, using qPCR arrays as a cost effective approach to identifying regulatory networks and pathways that might coordinate the cell response to a specific drug.', 'We addressed the gene expression profile of 90 plus genes associated with human mood disorders using the StellARray™ qPCR gene expression system in the human derived SH-SY5Y neuroblastoma cell line.', 'Global Pattern Recognition (GPR) analysis identified a total of 9 genes (DRD3(⁎), FOS(†), JUN(⁎), GAD1(⁎†), NRG1(⁎), PAFAH1B3(⁎), PER3(⁎), RELN(⁎) and RGS4(⁎)) to be significantly regulated in response to cellular challenge with the mood stabilisers sodium valproate ((⁎)) and lithium ((†)). Modulation of FOS and JUN highlights the importance of the activator protein 1 (AP-1) transcription factor pathway in the cell response. Enrichment analysis of transcriptional networks relating to this gene set also identified the transcription factor neuron restrictive silencing factor (NRSF) and the oestrogen receptor as an important regulatory mechanism.\Question: Do molecular signatures of mood stabilisers highlight the role of the transcription factor REST/NRSF?


Output: Cell line models offer a window of what might happen in vivo but have the benefit of being human derived and homogenous with regard to cell type.