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: To determine whether the number and location of positive surgical margins (PSMs) in radical prostatectomy (RP) surgical specimens affect biochemical recurrence (BCR) rates.', 'The locations of PSMs were recorded for 1308 consecutive men who underwent RP between October 2000 and December 2006. BCR was defined as three consecutive prostate-specific antigen (PSA) level rises with the peak level >or=0.15 ng/mL. Multivariate regression analyses were used to identify preoperative predictors of PSMs and BCR. The estimated 5-year risk of BCR was calculated using the Kaplan-Meier method.', 'In all, 128 (9.8%) men had one or more PSMs. The mean body mass index, mean preoperative serum PSA level, the distributions of clinical stage and biopsy Gleason scores, and the presence or absence of biopsy perineural invasion were significantly different between men with or with no PSMs. In multivariate analysis, baseline serum PSA level, Gleason score and perineural invasion were independent preoperative predictors of PSMs. The 5-year actuarial BCR rates were dependent on the site of the PSM (P = 0.035) and not the number of PSMs (P = 0.18). The rank order of estimated 5-year BCR rates according to the site of PSMs were base > anterior > posterolateral > apex approximately posterior.\Question: Does site of positive surgical margins influence biochemical recurrence after radical prostatectomy?

Answer: About half of the men with PSMs in the RP surgical specimen in our prospective series did not develop BCR. The risk of BCR was dependent on the site and not the number of PSMs. Adjuvant therapy should be considered in cases with anterior and basilar PSMs due to the very high risk of BCR.


Question: Context: Progress in the management of patients with medically intractable epilepsy is impeded because we do not fully understand why pharmacoresistance happens and how it can be predicted. The presence of multiple seizures prior to medical treatment has been suggested as a potential predictor of poor outcome. In the present study, we used an animal model of temporal lobe epilepsy to investigate whether pharmacoresistant rats differ in seizure frequency from pharmacoresponsive animals.', 'Epilepsy with spontaneous recurrent seizures (SRS) was induced by status epilepticus. Frequency of SRS was determined by video/EEG (electroencephalography) monitoring in a total of 33 epileptic rats before onset of treatment with phenobarbital (PB).', 'Thirteen (39%) rats did not respond to treatment with PB. Before treatment with PB, average seizure frequency in PB nonresponders was significantly higher than seizure frequency in responders, which, however, was due to six nonresponders that exhibited > 3 seizures per day. Such high seizure frequency was not observed in responders, demonstrating that high seizure frequency predicts pharmacoresistance in this model, but does not occur in all nonresponders.\Question: Is high seizure frequency prior to antiepileptic treatment a predictor of pharmacoresistant epilepsy in a rat model of temporal lobe epilepsy?

Answer: The data from this study are in line with clinical experience that the frequency of seizures in the early phase of epilepsy is a dominant risk factor that predicts refractoriness. However, resistance to treatment also occurred in rats that did not differ in seizure frequency from responders, indicating that disease severity alone is not sufficient to explain antiepileptic drug (AED) resistance. These data provide further evidence that epilepsy models are useful in the search for predictors and mechanisms of pharmacoresistance.


Question: Context: The development of human leukocyte antigen (HLA) antibody responses has been associated with worse clinical outcomes, such as bronchiolitis obliterans syndrome (BOS) and death, in lung transplant recipients (LTRs). However, the role of donor-specific HLA antibody (DSA) responses as a risk factor for poor outcomes remains controversial.', 'We prospectively screened 445 LTRs for DSA at our institution at the time of surveillance bronchoscopies for the first 2 years after transplantation between 2003 and 2008, and evaluated clinical outcomes. For this purpose, we used the combination of panel-reactive antibodies (PRA) by enzyme-linked immunosorbent assay (ELISA) and the Luminex single-antigen bead (SAB) assay (One Lambda, Canoga Park, CA).', 'We detected de novo DSA (dnDSA) in 58 of 445 (13%) LTRs in our cohort. Freedom from BOS was significantly reduced in LTRs with dnDSA versus those without dnDSA (p < 0.001). Using a Cox proportional hazards model, the development of dnDSA was associated with a significantly increased hazard ratio (HR = 6.59 [4.53 to 9.59]; p < 0.001) for BOS and high-grade BOS (Stage ≥ 2) (HR = 5.76 [3.48 to 9.52]; p < 0.001). Freedom from death was significantly reduced in LTRs with dnDSA (p < 0.001), including mortality attributable to BOS (HR = 9.86 [4.91 to 19.78]; p < 0.001).\Question: Are de novo donor-specific HLA antibodies associated with early and high-grade bronchiolitis obliterans syndrome and death after lung transplantation?

Answer:
Taken together, our findings provide evidence that dnDSA is associated with accelerated BOS kinetics and severity, as well as death due to BOS after lung transplantation. In addition, these data support regular monitoring for the development of dnDSA in LTRs and underscore the need for novel strategies to mitigate the increased risk of poor outcomes associated with dnDSA.