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: Presence of intratumoral T-cell infiltration has been linked to improved survival in ovarian cancer patients. We questioned whether antibody immunity specific for ovarian cancer tumor antigens would predict disease outcome. We evaluated humoral immune responses against ovarian cancer antigens p53, HER-2/neu, and topoisomerase IIalpha.', 'Serum was collected from 104 women (median age, 59 years; range, 34 to 89 years) at the time of their initial definitive surgery for ovarian cancer. Serum was analyzed by enzyme-linked immunosorbent assay for antibodies to p53, HER-2/neu, and topoisomerase IIalpha proteins. Antibody immunity to tetanus toxoid was assessed as a control. The incidence of humoral immunity at the time of diagnosis to any of these three antigens was tabulated. For patients with advanced-stage disease (III/IV), correlation was made between the presence of tumor-specific immunity at the time of diagnosis and overall survival. Patients were followed for a median of 1.8 years.', 'Multivariate analysis showed the presence of p53 antibodies to be an independent variable for prediction of overall survival in advanced-stage patients. Overall survival was significantly higher for patients with antibodies to p53 when compared with patients without p53 antibodies (P = .01). The median survival for p53 antibody-positive patients was 51 months (95% CI, 23.5 to 60.5 months) compared with 24 months (95% CI, 19.4 to 28.6 months) for patients without antibodies to p53.\Question: Is antibody immunity to the p53 oncogenic protein a prognostic indicator in ovarian cancer?

Output: Data presented here demonstrate that advanced stage ovarian cancer patients can have detectable tumor-specific antibody immunity and that immunity to p53 may predict improved overall survival in patients with advanced-stage disease.


Input: Consider Input: Context: Both obesity and type 2 diabetes are among the risk factors for breast cancer development. Combined effect of these metabolic abnormalities on breast cancer risk however, has not been examined in premenopausal women. We tested this association in type 2 diabetic women, categorized as obese, overweight and normal body weight groups based on BMI.', 'A total of 101 subjects were included in this study. Serum levels of IL-6, TNF-alpha, C reactive protein, leptin, TGF-alpha, adiponectin and insulin were measured by ELISA. Data were logarithmically transformed for variables not normally distributed. Analysis of variance with post-hoc Bonferroni was applied to compare the data between the groups. Simple and partial correlation coefficients between the variables were determined and a stepwise multiple linear regression analysis was performed to determine the relationships between the variables of interest.', 'Significantly increased levels of IL-6, C reactive protein, leptin and significantly decreased levels of adiponectin were found in obese group, while the levels of TNF-alpha and TGF-alpha were unaltered. A positive correlation between waist circumference and IL-6 was found in obese group. Similarly, C reactive protein, waist and hip circumferences were linearly correlated with BMI in obese group. Stepwise multiple linear regression analysis revealed several significant predictors for breast cancer risk.\Question: Do combined effects of obesity and type 2 diabetes contribute to increased breast cancer risk in premenopausal women?

Output: Obesity and type 2 diabetes, owing to their effects on adipocytokines and inflammatory mediators, contribute to increased breast cancer risk in premenopausal women. This study emphasizes healthy life style and better management of these metabolic disorders to avoid the pathogenesis of breast cancer and of other chronic diseases.


Input: Consider Input: Context: Mineral bone disorder (MBD) is prevalent among chronic dialysis patients. However, relationship between different forms of vitamin D and fibroblast growth factor 23 (FGF-23) remains unclear in this population.', 'A multicenter hemodialysis cohort was assembled. We evaluated 25-OH-D and 1,25-(OH)2-D, vitamin D-binding protein, and FGF-23, in this cohort. Multiple regression analyses were performed to investigate the relationship and stewardship between different vitamin D forms and FGF-23 concentrations.', 'Chronic dialysis patients presented significantly higher FGF-23 concentrations. 25-OH-D concentrations of <20 ng/ml (deficiency), 20-30 ng/ml (insufficiency), and ≥30 ng/ml (sufficiency) were associated with progressively lower FGF-23 concentrations (p<0.01). Serum FGF-23 concentrations were significantly correlated with total (p=0.02), free (p<0.01) and bioavailable (p<0.01) 25-OH-D and total (p=0.04), free (p=0.02), and bioavailable (p=0.03) 1,25-(OH)2-D concentrations. With all 25-OH-D and 1,25-(OH)2-D forms in the regression model, we found that free 1,25-(OH)2-D outweighed all other vitamin D forms regarding its association with FGF-23 (p=0.03).\Question: Is serum free 1,25-dihydroxy-vitamin D more closely associated with fibroblast growth factor 23 than other vitamin D forms in chronic dialysis patients?


Output: The relationship between FGF-23 and vitamin D is stronger using free forms of 25-OH-D and 1,25-(OH)2-D. Subsequent studies aiming at MBD should consider including free 25-OH-D and 1,25-(OH)2-D in the analysis.