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: Comorbidity is prevalent among patients with Ischemic Heart Disease (IHD) and may influence patients' subjective and objective domains of well-being.", 'We aimed to investigate the associations between comorbidity and different measures of well-being (i.e. health related quality of life, psychological distress, sleep quality, and dyadic adjustment) among patients with IHD.', 'In this cross-sectional study, 796 outpatients with documented IHD were enrolled from an outpatient cardiology clinic in 2006. Comorbidity (Ifudu index), quality of life (SF36), psychological distress (Hospital Anxiety Depression Scale; HADS), sleep quality (Pittsburg Sleep Quality Index; PSQI), and dyadic adjustment quality (Revised Dyadic Adjustment Scale; RDAS) were measured. Associations between comorbidity and different measures of well-being were determined.', 'Significant correlations were found between comorbidity score and all measures of well-being. Comorbidity score was correlated with physical quality of life (r = -0.471, P < 0.001), mental quality of life (r = -0.447, P < 0.001), psychological distress (r = 0.344, P < 0.001), sleep quality (r = 0.358, P < 0.001), and dyadic adjustment (r = -0.201, P < 0.001).\Question: Does comorbidity influence multiple aspects of well-being of patients with ischemic heart disease?

Output: This study showed a consistent pattern of associations between somatic comorbidities and multiple aspects of well-being among patients with IHD. Findings may increase cardiologists' interest to identify and treat somatic conditions among IHD patients.

Input: Consider Input: Context: Platelet concentrates are important for support of patients with malignancies requiring myelotoxic chemotherapy. During storage, 10% to 15% of platelets may become activated resulting in the release of alpha-granules, which contain growth factors. We hypothesize that, during storage, growth factors accumulate in the plasma, specifically platelet-derived growth factor, vascular endothelial growth factor (VEGF), transforming growth factor-beta, and fibroblast growth factor-2, which may adversely affect cancer patients.', 'The concentrations of growth factors were measured by ELISA from the plasma of apheresis platelets serially throughout storage (days 1, 3, 5, and 7) and compared with concentrations in fresh plasma from healthy blood donors. Washing was evaluated as a method of growth factor removal, and an in vitro model of platelet transfusion in a patient receiving Bevacizumab (Avastin) using immunoprecipitation was employed to determine if Bevacizumab would be bound by the VEGF in apheresis platelets.', 'VEGF, platelet-derived growth factor, and transforming growth factor-beta were increased on day 1 versus fresh plasma and throughout storage reaching a relative maximum at outdate (P < 0.01, day 5 or 7). Fibroblast growth factor-2 concentrations were significantly increased on day 7 alone versus day 1 or to fresh plasma (P < 0.01). Washing removed 41 +/- 11% to 56 +/- 2% of the growth factors. Bevacizumab effectively bound the VEGF from apheresis platelets, with significant amounts of VEGF remaining in the supernatant.\Question: Do oncogenic and angiogenic growth factors accumulate during routine storage of apheresis platelet concentrates?

Output: Significant amounts of growth factors are present in apheresis platelets due to the isolation procedures, and these concentrations increase over storage, which may be partially removed by washing. In addition, apheresis platelet transfusion could affect cancer treatment by binding monoclonal antibodies directed against growth factors of tumor origin.

Input: Consider Input: Context: L1-cell adhesion molecule (L1CAM) was previously reported to carry a poor prognosis in Stage I, low-risk endometrial cancer (EC). We evaluated the role of L1CAM among all stages and histologies in ECs in The Cancer Genome Atlas (TCGA).', 'Clinical information and RNA-Seq expression data were derived from TCGA uterine cancer cohort. Associations between L1CAM expression and clinical factors were tested with linear and logistic regression. Differences in survival between "high" and "low" expression groups (defined by median expression) of L1CAM were compared using Cox regression analysis, with p-values calculated via log-rank test. Kaplan-Meier curves were tested with the log-rank test.', 'Patient characteristics of 545 primary tumors with RNA-Seq gene expression data were analyzed. Median age was 64years (range 31-90). Stage I, II, III, and IV comprised 62%, 10%, 23%, and 5%, respectively. 75% were endometrioid; 21% serous. Grade 1, 2, and 3 comprised 18%, 22%, and 60%, respectively. Median follow-up was 23.0months. High L1CAM expression was associated with advanced stage (OR 3.2), high grade (OR=6.8), serous histology (OR=16.3), positive cytology (OR=3.5), positive pelvic (OR=21.8) and para-aortic lymph nodes (OR=10.3) (all p0.001). High L1CAM was associated with a median overall survival (OS) of 107months, versus not reached for low L1-expressing ECs (HR=3.46, CI 1.97-6.07, p<0.001). On multivariate analysis, L1CAM expression remained an independent prognostic variable in predicting OS in EC.\Question: Is l1CAM an independent predictor of poor survival in endometrial cancer - An analysis of The Cancer Genome Atlas ( TCGA )?
Output: L1CAM expression is an independent predictor of poor survival in endometrial cancer, and is associated with advanced stage, high-risk endometrial cancer.