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: Prognosis and treatment of patients with breast carcinoma of no special type (NST) is dependent on a few established parameters, such as tumor size, histological grade, lymph node stage, expression of estrogen receptor, progesterone receptor, and HER-2/neu, and proliferation index. The original Nottingham Prognostic Index (NPI) employs a three-tiered classification system that stratifies patients with breast cancer into good, moderate, and poor prognostic groups. The aim of our study was to use robust immunohistochemical methodology for determination of ER, PR, HER-2/neu, Ki-67, p53, and Bcl-2, and to observe differences in the expression of these markers when patients are stratified according to the original, three-tiered Nottingham Prognostic Index.', 'Paraffin blocks from 120 patients diagnosed with breast carcinoma, NST, were retrieved from our archive. Cases included in the study were female patients previously treated with modified radical mastectomy and axillary dissection.', 'Our study demonstrates that expression of markers of good prognosis, such as ER, PR, and Bcl-2, is seen with higher frequency in good and moderate NPI groups. In contrast, overexpression of HER-2/neu, a marker of adverse prognosis, is more frequent in moderate and poor NPI groups. High proliferation index, as measured by Ki-67, is seen in moderate and poor NPI groups, whereas low proliferation index is seen in good NPI groups.\Question: Does classification of patients with breast cancer according to Nottingham prognostic index highlight significant differences in immunohistochemical marker expression?
Example Output: These data confirm that the original, three-tiered NPI statistically correlates with the expression of prognostic immunohistochemical markers in breast carcinoma NST.

Example Input: Context: To investigate the effects of interval aerobic training combined with strength-endurance exercise (IASE) and caloric restriction (CR) on body composition, glycaemic and lipid profile and inflammatory markers.', 'Thirty-two Zucker diabetic fatty rats were randomised into 4 groups (sedentary\xa0+\xa0CR; sedentary\xa0+\xa0adlibitum; IASE\xa0+\xa0CR; and IASE\xa0+\xa0adlibitum). Training groups conducted an IASE programme in the same session, 5 days/week for 2 months. Body weight, fat and muscle mass and body water were measured using a body composition analyser. Plasma total, LDL and HDL cholesterol, phospholipids, triglycerides, insulin, adiponectin, tumour necrosis factor alpha, interleukin 1 and 10 were measured. Blood fasting and postprandial glucose were assessed. Body weight was lower in the CR compared to the adlibitum groups (p\xa0<\xa00.001). Fat mass was lower in the CR compared to the adlibitum (p\xa0<\xa00.05) and in the IASE compared to the sedentary groups (p\xa0<\xa00.001), but IASE increased lean mass (p\xa0<\xa00.001). Triglycerides were lower in the CR compared to the adlibitum groups (p\xa0<\xa00.001) whereas total and LDL-cholesterol and fasting glucose were reduced only in the IASE groups (all, p\xa0<\xa00.001). Phospholipids decreased in the CR compared to the adlibitum (p\xa0<\xa00.05) and the IASE compared to the sedentary groups (p\xa0<\xa00.001). The area under the curve after oral glucose tolerance test, insulin and homoeostatic model assessment were lower in the IASE and the CR compared to the sedentary and adlibitum groups, respectively (all, p\xa0<\xa00.001). Adiponectin was lower in the CR groups (p\xa0<\xa00.001).\Question: Does interval aerobic training combined with strength-endurance exercise improve metabolic markers beyond caloric restriction in Zucker rats?
Example Output: Overall, IASE as well as CR were both useful interventions, especially when combined. However, IASE showed greater improvements on body composition, inflammatory and glycaemic profile than CR did.

Example Input: Context: Metabolic syndrome (MetS) and depression have become two prevalent diseases worldwide, whose interaction needs further investigation. Dietary treatment for weight loss in patients with MetS may improve depressive manifestations, however, the precise interactive pathways remain uncertain. Therefore, the aim of this study was to examine the effects of a hypocaloric diet designed to reduce MetS features on self-perceived depression and the possible underlying factors.', 'Sixty subjects (Age: 50 ± 1 y; BMI: 36.1 ± 0.6 kg/m(2)) with MetS were selected from the RESMENA study (control and intervention) after they completed the 6-months hypocaloric treatment and rated for depressive symptoms using the Beck Depression Inventory (BDI). Anthropometric and biochemical measurements including leptin, C-reactive protein (CRP) and insulin levels were evaluated.', 'Depressive symptoms decreased during the weight loss intervention, with no differences between both dietary groups (control group -4.2 ± 0.8 vs RESMENA group -3.2 ± 0.6, P = 0.490). The number of criteria of the MetS was higher among subjects with more somatic-related depressive symptoms at baseline (B = 1.032, P-trend = 0.017). After six months of dietary treatment, body weight decreased in all subjects (-8.7%; confidence interval (95% CI)\u2009= 7.0-9.7) and also self-perceived depression (-37.9%; 95% CI = 2.7-4.9), as well as circulating leptin (-20.1%; 95% CI = 1.8-6.8), CRP (-42.8%; 95% CI = 0.6-3.0) and insulin (-37.7%; 95% CI = 4.1-7.2) concentrations. The decrease in BDI was significantly associated with declines in body fat mass (B = 0.34, 95% CI = 0.11-0.56) and also with the decrease in leptin (B = 0.16, 95% CI = 0.04-0.28) and CRP (B = 0.24, 95% CI = 0.01-0.46) concentrations.\Question: Is a decline in inflammation associated with less depressive symptoms after a dietary intervention in metabolic syndrome patients : a longitudinal study?
Example Output:
The decrease in depressive manifestations after a weight loss intervention was related with adiposity, CRP and leptin in subjects with MetS.