Literature DB >> 22383114

Screening candidate anticancer drugs for brain tumor chemotherapy: pharmacokinetic-driven approach for a series of (E)-N-(substituted aryl)-3-(substituted phenyl)propenamide analogues.

Hua Lv1, Fan Wang, M V Ramana Reddy, Qingyu Zhou, Xiaoping Zhang, E Premkumar Reddy, James M Gallo.   

Abstract

A pharmacokinetic [PK]-driven screening process was implemented to select new agents for brain tumor chemotherapy from a series of low molecular weight anticancer agents [ON27x] that consisted of 141 compounds. The screening procedures involved a combination of in silico, in vitro and in vivo mouse studies that were cast into a pipeline of tier 1 and tier 2 failures that resulted in a final investigation of 2 analogues in brain tumor-bearing mice. Tier 1 failures included agents with a molecular weight of > 450 Da, a predicted log P (log P) of either <2 or > 3.5, and a cytotoxicity IC(50) value of > 2 uM. Next, 18 compounds underwent cassette dosing studies in normal mice that identified compounds with high systemic clearance, and low blood-brain barrier [BBB] penetration. These indices along with a derived parameter, referred to as the brain exposure index, comprised tier 2 failures that led to the administration of 2 compounds [ON27570, ON27740] as single agents [discrete dosing] to mice bearing intracerebral tumors. Comparison of ON27570's resultant PK parameters to those obtained in the cassette dosing format suggested a drug-drug interaction most likely at the level of BBB transport, and prompted the use of the in vitro MDCK-MDR1 transport model to help assess the nature of the discrepancy. Overall, the approach was able to identify candidate compounds with suitable PK characteristics yet further revisions to the method, such as the use of in vitro metabolism and transport assays, may improve the PK-directed approach to identify efficacious agents for brain tumor chemotherapy.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 22383114      PMCID: PMC3387347          DOI: 10.1007/s10637-012-9806-x

Source DB:  PubMed          Journal:  Invest New Drugs        ISSN: 0167-6997            Impact factor:   3.850


  38 in total

Review 1.  High throughput physicochemical profiling for drug discovery.

Authors:  E H Kerns
Journal:  J Pharm Sci       Date:  2001-11       Impact factor: 3.534

Review 2.  ADMET in silico modelling: towards prediction paradise?

Authors:  Han van de Waterbeemd; Eric Gifford
Journal:  Nat Rev Drug Discov       Date:  2003-03       Impact factor: 84.694

3.  Brain and plasma exposure profiling in early drug discovery using cassette administration and fast liquid chromatography-tandem mass spectrometry.

Authors:  Mei-Yi Zhang; Edward Kerns; Oliver McConnell; June Sonnenberg-Reines; Margaret M Zaleska; J Steven Jacobsen; John Butera; Anthony Kreft
Journal:  J Pharm Biomed Anal       Date:  2004-02-04       Impact factor: 3.935

Review 4.  The application of cassette dosing for pharmacokinetic screening in small-molecule cancer drug discovery.

Authors:  Nicola F Smith; Florence I Raynaud; Paul Workman
Journal:  Mol Cancer Ther       Date:  2007-02       Impact factor: 6.261

Review 5.  High throughput ADME screening: practical considerations, impact on the portfolio and enabler of in silico ADME models.

Authors:  Cornelis E C A Hop; Mark J Cole; Ralph E Davidson; David B Duignan; James Federico; John S Janiszewski; Kelly Jenkins; Suzanne Krueger; Rebecca Lebowitz; Theodore E Liston; Walter Mitchell; Mark Snyder; Stefan J Steyn; John R Soglia; Christine Taylor; Matt D Troutman; John Umland; Michael West; Kevin M Whalen; Veronica Zelesky; Sabrina X Zhao
Journal:  Curr Drug Metab       Date:  2008-11       Impact factor: 3.731

Review 6.  ABC drug transporter at the blood-brain barrier: effects on drug metabolism and drug response.

Authors:  Martin Ebinger; Manfred Uhr
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2006-08       Impact factor: 5.270

7.  Distribution of gefitinib to the brain is limited by P-glycoprotein (ABCB1) and breast cancer resistance protein (ABCG2)-mediated active efflux.

Authors:  Sagar Agarwal; Ramola Sane; Jose L Gallardo; John R Ohlfest; William F Elmquist
Journal:  J Pharmacol Exp Ther       Date:  2010-04-26       Impact factor: 4.030

8.  In vivo evaluation of P-glycoprotein and breast cancer resistance protein modulation in the brain using [(11)C]gefitinib.

Authors:  Kazunori Kawamura; Tomoteru Yamasaki; Joji Yui; Akiko Hatori; Fujiko Konno; Katsushi Kumata; Toshiaki Irie; Toshimitsu Fukumura; Kazutoshi Suzuki; Iwao Kanno; Ming-Rong Zhang
Journal:  Nucl Med Biol       Date:  2009-04       Impact factor: 2.408

9.  Differential effect of sunitinib on the distribution of temozolomide in an orthotopic glioma model.

Authors:  Qingyu Zhou; James M Gallo
Journal:  Neuro Oncol       Date:  2008-10-29       Impact factor: 12.300

10.  Impact of cellular folate status and epidermal growth factor receptor expression on BCRP/ABCG2-mediated resistance to gefitinib and erlotinib.

Authors:  C Lemos; I Kathmann; E Giovannetti; C Calhau; G Jansen; G J Peters
Journal:  Br J Cancer       Date:  2009-03-10       Impact factor: 7.640

View more
  1 in total

1.  Preclinical pharmacological evaluation of a novel multiple kinase inhibitor, ON123300, in brain tumor models.

Authors:  Xiaoping Zhang; Hua Lv; Qingyu Zhou; Rana Elkholi; Jerry E Chipuk; M V Ramana Reddy; E Premkumar Reddy; James M Gallo
Journal:  Mol Cancer Ther       Date:  2014-02-25       Impact factor: 6.261

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.