Gene/Protein Disease Symptom Drug Enzyme Compound
Pivot Concepts:   Target Concepts:
Query: EC:2.6.1.1 (aspartate aminotransferase)
 21,665 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

The caffeine test measures the activity of cytochrome p450 (CYP1A2) which is a major enzyme involved in the activation of flutamide. The usefulness of this test in predicting flutamide-induced hepatic injury in patients with prostate cancer was examined. The subjects were: (1). five patients whose aspartate aminotransferase (AST) or alanine aminotransferase (ALT) level rose to 100 IU/l or higher following the start of flutamide (moderately injured group); (2). four patients whose AST and ALT levels were higher than normal but less than 100 IU/l (mildly injured group); and (3). two patients whose hepatic function remained normal (normal group). The subjects were each given canned coffee to drink. Urinary caffeine (137X), paraxanthine (17X) and 1, 7-dimethyluric acid (17U) levels were measured 4-5 h later. The metabolite ratio, (17U+17X)/137X, was calculated to serve as an indicator of CYP1A2 activity. The metabolite ratio for the moderately injured group (3.98+/-1.56) and the mildly injured group (5.55+/-1.42) were lower than that for the normal group (9.56). The results suggest that a decrease in CYP1A2 activity is involved in the onset of flutamide-induced hepatic injury, and that the caffeine test seems to provide a useful means of its prediction.
Prostate Cancer Prostatic Dis 2002
PMID:Caffeine test in predicting flutamide-induced hepatic injury in patients with prostate cancer. 1249 2

Metastatic castration resistant prostate cancer (mCRPC) is one of the most common cancers with a poor prognosis. To improve prognostic models of mCRPC, the Dialogue for Reverse Engineering Assessments and Methods (DREAM) Consortium organized a crowdsourced competition known as the Prostate Cancer DREAM Challenge. In the competition, data from four phase III clinical trials were utilized. A total of 1600 patients' clinical information across three of the trials was used to generate prognostic models, whereas one of the datasets (313 patients) was held out for blinded validation. The previously introduced prognostic model of overall survival of chemotherapy-naive mCRPC patients treated with docetaxel or prednisone (so called Halabi model) was used as a performance baseline. This paper presents the model developed by the team TYTDreamChallenge and its improved version to predict the prognosis of mCRPC patients within the first 30 months after starting the treatment based on available clinical features of each patient. In particular, by replacing our original larger set of eleven features with a smaller more carefully selected set of only five features the prediction performance on the independent validation cohort increased up to 5.4 percent. While the original TYTDreamChallenge model (iAUC=0.748) performed similarly as the performance-baseline model developed by Halabi et al. (iAUC=0.743), the improved post-challenge model (iAUC=0.779) showed markedly improved performance by using only PSA, ALP, AST, HB, and LESIONS as features. This highlights the importance of the selection of the clinical features when developing the predictive models.
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PMID:A predictive model of overall survival in patients with metastatic castration-resistant prostate cancer. 0