Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 4 de 4
Filter
Add more filters










Database
Language
Publication year range
2.
Ann Oncol ; 27(12): 2210-2215, 2016 12.
Article in English | MEDLINE | ID: mdl-27681866

ABSTRACT

BACKGROUND: Treatment with sorafenib, although associated with inhibition of tumour growth and angiogenesis in in vivo studies, leads to up-regulation of pERK. The addition of MEK inhibition could potentially abrogate this effect and potentiate anti-tumour activity. This phase I study investigated the maximum tolerated dose (MTD), safety, tolerability, pharmacokinetics (PK) and biomarker correlates of selumetinib combined with sorafenib in patients with advanced hepatocellular carcinoma (HCC). METHODS: Patients with Child-Pugh (CP) score ≤7 were treated with 400 mg twice daily of sorafenib with escalating doses of selumetinib in a 3 + 3 study design. The dose-limiting toxicity (DLT) evaluation period was 28 days. PK of selumetinib was determined. Angiogenic effect was evaluated with dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). RESULTS: Twenty-seven patients of Asian ethnicity were enrolled. The MTD was selumetinib 75 mg daily with sorafenib 400 mg twice daily. DLT included grade 3 transaminitis, diarrhoea and fatigue. Most common treatment-related adverse events at MTD (all grades) were diarrhoea (85%), rash (59%), hypertension (44%), fatigue (30%), anorexia (22%) and hand-foot syndrome (22%). Four patients (15%) had PR and 13 (48%) had SD. PR or SD was observed for ≥6 months in seven patients. The median overall survival was 14.4 months. Selumetinib exposures in combination with sorafenib were comparable to other monotherapy studies. A reduction in permeability-surface area product noted in DCE-MRI with treatment correlated with worse survival outcomes. CONCLUSION: The MTD of selumetinib was 75 mg daily when combined with sorafenib 400 mg twice a day in CP ≤7 HCC. Acceptable adverse events and encouraging anti-tumour activity warrant further evaluation. DCE-MRI findings deserve prospective evaluation. CLINICALTRIALSGOV IDENTIFIER: NCT01029418.


Subject(s)
Antineoplastic Combined Chemotherapy Protocols/administration & dosage , Benzimidazoles/administration & dosage , Carcinoma, Hepatocellular/drug therapy , Liver Neoplasms/drug therapy , Niacinamide/analogs & derivatives , Phenylurea Compounds/administration & dosage , Adult , Aged , Antineoplastic Combined Chemotherapy Protocols/adverse effects , Benzimidazoles/adverse effects , Carcinoma, Hepatocellular/pathology , Disease-Free Survival , Drug-Related Side Effects and Adverse Reactions/pathology , Female , Humans , Kaplan-Meier Estimate , Liver Neoplasms/pathology , Male , Maximum Tolerated Dose , Middle Aged , Neoplasm Staging , Niacinamide/administration & dosage , Niacinamide/adverse effects , Phenylurea Compounds/adverse effects , Protein Kinase Inhibitors/administration & dosage , Protein Kinase Inhibitors/adverse effects , Sorafenib
3.
Neurosci Lett ; 398(1-2): 28-33, 2006 May 01.
Article in English | MEDLINE | ID: mdl-16443325

ABSTRACT

It has been well documented that oxidative stress is involved in stroke. Currently, many neuroprotective strategies have been targeted at molecules that are able to act as an oxidant to intervene with free-radical mediated apoptosis in the ischemic penumbra. In particular, natural products which contain antioxidant properties have undoubtedly efficacious for stroke treatment. In the current study, therapeutic effects of Ginkgo biloba extract (EGb) against cerebral protection in Wistar rats underwent middle cerebral artery occlusion (MCAO) was evaluated. A comparison study was conducted by using Losartan, an antihypertensive drug. Gene expression levels of pro-apoptotic genes (AT2 receptor, Fas, Bax and Bcl-xS) have shown to have significant reduction by EGb- and Losartan-treated groups as compared to vehicle group. Significant reduction of immunoreactivity of protein production of these genes, together with least nuclear green fluorescence observed in TUNEL, EGb, as an antioxidant drug, is concluded to have potent and promising therapeutic effect for stroke treatment.


Subject(s)
Angiotensin II Type 1 Receptor Blockers/therapeutic use , Antioxidants/therapeutic use , Cerebral Cortex/drug effects , Ginkgo biloba , Losartan/therapeutic use , Stroke/prevention & control , Animals , Apoptosis , Cerebral Cortex/metabolism , Cerebral Cortex/pathology , Immunohistochemistry , In Situ Nick-End Labeling , Infarction, Middle Cerebral Artery/metabolism , Infarction, Middle Cerebral Artery/pathology , Infarction, Middle Cerebral Artery/prevention & control , Male , Phytotherapy , Plant Extracts/therapeutic use , Rats , Rats, Wistar , Receptor, Angiotensin, Type 2/biosynthesis , Reverse Transcriptase Polymerase Chain Reaction , Stroke/metabolism , Stroke/pathology , bcl-2-Associated X Protein/biosynthesis , bcl-X Protein/biosynthesis , fas Receptor/biosynthesis
4.
J Mol Graph Model ; 22(6): 507-17, 2004 Jul.
Article in English | MEDLINE | ID: mdl-15182810

ABSTRACT

Undesirable absorption, distribution, metabolism, excretion (ADME) properties are the cause of many drug development failures and this has led to the need to identify such problems earlier in the development process. This review highlights computational (in silico) approaches that have been used to identify the characteristics of ligands influencing molecular recognition and/or metabolism by the drug-metabolising enzyme UDP-gucuronosyltransferase (UGT). Current studies applying pharmacophore elucidation, 2D-quantitative structure metabolism relationships (2D-QSMR), 3D-quantitative structure metabolism relationships (3D-QSMR), and non-linear pattern recognition techniques such as artificial neural networks and support vector machines for modelling metabolism by UGT are reported. An assessment of the utility of in silico approaches for the qualitative and quantitative prediction of drug glucuronidation parameters highlights the benefit of using multiple pharmacophores and also non-linear techniques for classification. Some of the challenges facing the development of generalisable models for predicting metabolism by UGT, including the need for screening of more diverse structures, are also outlined.


Subject(s)
Computational Biology , Drug Design , Glucuronosyltransferase/pharmacokinetics , Computer Simulation , Glucuronosyltransferase/metabolism , Humans , Molecular Structure , Pharmaceutical Preparations/chemistry , Quantitative Structure-Activity Relationship
SELECTION OF CITATIONS
SEARCH DETAIL
...