Literature DB >> 24184213

Investigation of quinazolines as inhibitors of breast cancer resistance protein (ABCG2).

Kapil Juvale1, Jennifer Gallus, Michael Wiese.   

Abstract

Chemotherapy is one of the major forms of cancer treatment. Unfortunately, tumors are prone to multidrug resistance leading to failure of treatment. Breast cancer resistance protein (BCRP), the second member of ABC transporter subfamily G, has been found to play a major role in drug efflux and hence multidrug resistance. Until now, very few potent and selective BCRP inhibitors like Ko143 have been identified. In the search for more potent and selective BCRP inhibitors, we synthesized and investigated a series of differently substituted quinazoline compounds. Several variations at positions 2, 4, 6 and 7 of the quinazoline scaffold were carried out to develop a structure-activity-relationship analysis for these compounds. It was found that compounds bearing a phenyl substituent at position 2 of the 4-anilinoquinazoline scaffold were most potent. On the aniline ring at position 4 of the quinazoline moiety substituents like NO2, CN, CF3 led to very high BCRP inhibition potencies. The most potent compounds were further investigated for their intrinsic cytotoxicity and their ability to reverse the multidrug resistance. Compound 20, an anilinoquinazoline bearing a phenyl ring at position 2 and meta-nitro substitution on the 4-anilino ring, was found to have the highest therapeutic ratio. The most active compounds from each variation were also investigated for their effect on BCRP expression. It was found that compound 20 has no significant effect on BCRP expression, while compound 31 decreased the surface BCRP expression. The only difference in the two compounds was the presence of a 3,4-dimethoxyphenyl ring in compound 31 instead of phenyl substitution at position 2 of the quinazoline moiety. From the study of all target compounds, compound 20 was the most prominent compound having inhibitory potency even higher than Ko143, the most potent BCRP inhibitor known. Compound 20 was also found to be selective towards BCRP with a very high therapeutic ratio.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  ATP binding cassette (ABC) transporter; Breast cancer resistance protein (BCRP/ABCG2); Hoechst 33342 accumulation assay; Multidrug resistance; Quinazolines

Mesh:

Substances:

Year:  2013        PMID: 24184213     DOI: 10.1016/j.bmc.2013.10.007

Source DB:  PubMed          Journal:  Bioorg Med Chem        ISSN: 0968-0896            Impact factor:   3.641


  7 in total

1.  Synthesis and Biological Evaluation of Novel Benzimidazole Derivatives and Analogs Targeting the NLRP3 Inflammasome.

Authors:  Liangkun Pan; Nan Hang; Chao Zhang; Yu Chen; Shuchun Li; Yang Sun; Zhongjun Li; Xiangbao Meng
Journal:  Molecules       Date:  2017-01-30       Impact factor: 4.411

2.  Hydrogen Transfer-Mediated Multicomponent Reaction for Direct Synthesis of Quinazolines by a Naphthyridine-Based Iridium Catalyst.

Authors:  Zhenda Tan; Zhongxin Fu; Jian Yang; Yang Wu; Liang Cao; Huanfeng Jiang; Juan Li; Min Zhang
Journal:  iScience       Date:  2020-03-21

3.  ADMET evaluation in drug discovery. 20. Prediction of breast cancer resistance protein inhibition through machine learning.

Authors:  Dejun Jiang; Tailong Lei; Zhe Wang; Chao Shen; Dongsheng Cao; Tingjun Hou
Journal:  J Cheminform       Date:  2020-03-05       Impact factor: 5.514

4.  C@PA: Computer-Aided Pattern Analysis to Predict Multitarget ABC Transporter Inhibitors.

Authors:  Vigneshwaran Namasivayam; Katja Silbermann; Michael Wiese; Jens Pahnke; Sven Marcel Stefan
Journal:  J Med Chem       Date:  2021-03-16       Impact factor: 7.446

Review 5.  Recent advances in the search of BCRP- and dual P-gp/BCRP-based multidrug resistance modulators.

Authors:  Silvia Dei; Laura Braconi; Maria Novella Romanelli; Elisabetta Teodori
Journal:  Cancer Drug Resist       Date:  2019-09-19

6.  A curated binary pattern multitarget dataset of focused ATP-binding cassette transporter inhibitors.

Authors:  Sven Marcel Stefan; Patric Jan Jansson; Jens Pahnke; Vigneshwaran Namasivayam
Journal:  Sci Data       Date:  2022-07-26       Impact factor: 8.501

7.  Scaffold fragmentation and substructure hopping reveal potential, robustness, and limits of computer-aided pattern analysis (C@PA).

Authors:  Vigneshwaran Namasivayam; Katja Silbermann; Jens Pahnke; Michael Wiese; Sven Marcel Stefan
Journal:  Comput Struct Biotechnol J       Date:  2021-05-10       Impact factor: 7.271

  7 in total

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