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: Breast cancer is a hormone-dependent cancer, and the presence of estrogen receptor alpha (ER-alpha) in tumors is used clinically to predict the likelihood of response to hormonal therapies. The clinical value of the second recently identified ER isoform, called ER-beta, is less clear, and there is currently conflicting data concerning its potential role as a prognostic or predictive factor.', 'To assess whether ER-beta expression is associated with clinical outcome, protein levels were measured by immunoblot analysis of a retrospective bank of tumor cell lysates from 305 axillary node-positive patients. A total of 119 received no adjuvant therapy, and 186 were treated with tamoxifen only. The median follow-up time was 65 months. Univariate and multivariate Cox regression modeling was done to assess the prognostic and predictive significance of ER-beta expression.', 'Expression of ER-beta protein did not correlate significantly with any other clinical variables, including ER and progesterone levels (as measured ligand binding assay), tumor size, age, or axillary nodal status. In the untreated population, those patients whose tumors who expressed both receptor isoforms exhibited the most favorable outcome as compared with those patients who had lost ER-alpha expression. However, there was no association between ER-beta levels alone and either disease-free or overall survival in the untreated patient population. In contrast, in both univariate and multivariate analyses, high levels of ER-beta predicted an improved disease-free and overall survival in patients treated with adjuvant tamoxifen therapy.\Question: Do low levels of estrogen receptor beta protein predict resistance to tamoxifen therapy in breast cancer?

Answer: These findings provide evidence that ER-beta may be an independent predictor of response to tamoxifen in breast cancer. Furthermore, these results suggest that ER-beta may influence tumor progression in ways different from those mediated by the ER-alpha isoform.


Question: Context: B-type natriuretic peptide (BNP) correlates with cardiac filling pressures and outcomes in patients with heart failure. In heart transplant recipients, we hypothesize that a within-individual change in BNP over time would be more helpful than absolute BNP in detecting International Society of Heart and Lung Transplantation (ISHLT) grade 2R or greater rejection.', 'N-terminal pro-BNP (NT-proBNP) levels were measured in 146 consecutive transplant recipients undergoing routine endomyocardial biopsies. In the cross-sectional analysis, multiple observations per individual were accounted for using generalized estimation equations.', "A cross-sectional analysis demonstrated a weak association between NT-proBNP levels and rejection, with an odds ratio (OR) of 1.01 for every 100-pg/mL increase in NT-proBNP (p = 0.02). However, with a doubling of an individual's NT-proBNP level, the OR for significant rejection was 2.9 (95% confidence interval [CI] 1.2-7.0), the OR with a 5-fold increase was 9.1 (95% CI, 2.7-31.5), and the OR with a 10-fold increase was 27.7 (95% CI, 5.9-129). A 10-fold increase in NT-proBNP offered a negative predictive value of 95% for the diagnosis of rejection. The relationship between within-individual increases in NT-proBNP and rejection persisted after adjusting for a fall in ejection fraction and a rise pulmonary capillary wedge pressure, and was a stronger predictor than changes in these parameters.\Question: Does the change in B-type natriuretic peptide levels over time predict significant rejection in cardiac transplant recipients?

Answer: There is a strong, graded relationship between the within-individual increase in NT-proBNP and the odds of significant rejection independent of hemodynamic parameters. These results suggest that the change in NT-proBNP rather than absolute BNP levels may offer a non-invasive approach to detect rejection.


Question: Context: To demonstrate a method to extract the meaningful biologic information from (111)In-radiolabeled capromab pendetide (ProstaScint) SPECT scans for use in radiation therapy treatment planning by removing that component of the (111)In SPECT images associated with normal structures.', 'We examined 20 of more than 80 patients who underwent simultaneous (99m)Tc/(111)In SPECT scans, which were subsequently registered to the corresponding CT/MRI scans.A thresholding algorithm was used to identify (99m)Tc uptake associated with blood vessels and CT electron density associated with bone marrow. Corresponding voxels were removed from the (111)In image set.', 'No single threshold value was found to be associated with the (99m)Tc uptake that corresponded to the blood vessels. Intensity values were normalized to a global maximum and, as such, were dependent upon the quantity of (99m)Tc pooled in the bladder. The reduced ProstaScint volume sets were segmented by use of a thresholding feature of the planning system and superimposed on the CT/MRI scans.\Question: Does procedure for unmasking localization information from ProstaScint scan for prostate radiation therapy treatment planning?

Answer:
ProstaScint images are now closer to becoming a biologically and therapeutically useful and accurate image set. After known sources of normal intensity are stripped away, the remaining areas that demonstrate uptake may be segmented and superimposed on the treatment-planning CT/MRI volume.