Literature DB >> 28841513

Synthesis and biological investigation of 2,4-substituted quinazolines as highly potent inhibitors of breast cancer resistance protein (ABCG2).

Michael K Krapf1, Jennifer Gallus1, Michael Wiese2.   

Abstract

Expression of ABCG2, a member of the ABC transporter superfamily, has been correlated to the clinical outcome of multiple cancers and is often associated with the occurrence of multidrug resistance (MDR) in chemotherapy. Inhibition of the transport protein by potent and selective inhibitors might be a way to treat cancer more efficiently and improve the therapy of cancer patients. Recently we reported the synthesis of new inhibitors based on a quinazoline scaffold. In the present study more structural variations were explored. Compounds with 3,4-dimethoxy groups and meta or para nitro substituents were found to be highly potent inhibitors of ABCG2. The most potent compound was more than five-fold more potent than Ko143, one of the best inhibitors of ABCG2. To determine the new compounds selectivity toward ABCG2 their inhibitory effects on ABCB1 and ABCC1 were also investigated identifying selective as well as broadspectrum inhibitors. Furthermore, intrinsic cytotoxicity and efficacy regarding the reversal of multidrug resistance toward SN-38 and mitoxantrone were explored. The most potent compounds were able to reverse the resistance toward the cytostatic agents with EC50 values below 20 nM. Additionally, the type of interaction between inhibitors and the ABCG2 substrate Hoechst 33342 was investigated yielding competitive and non-competitive interactions suggesting different modes of binding. Finally the effect of the derivatives on vanadate-sensitive ATPase activity of ABCG2 was determined. According to the different effects on ATPase activity we conclude the existence of different binding sites. This study provides the structural requirements for high potency inhibition and elucidates the interaction with ABCG2 setting the basis for further studies.
Copyright © 2017 Elsevier Masson SAS. All rights reserved.

Entities:  

Keywords:  ABC transporter; ABCG2; BCRP; Inhibitor; Quinazolines

Mesh:

Substances:

Year:  2017        PMID: 28841513     DOI: 10.1016/j.ejmech.2017.08.020

Source DB:  PubMed          Journal:  Eur J Med Chem        ISSN: 0223-5234            Impact factor:   6.514


  11 in total

1.  Development of Simple and Accurate in Silico Ligand-Based Models for Predicting ABCG2 Inhibition.

Authors:  Shuheng Huang; Yingjie Gao; Xuelian Zhang; Ji Lu; Jun Wei; Hu Mei; Juan Xing; Xianchao Pan
Journal:  Front Chem       Date:  2022-05-18       Impact factor: 5.545

Review 2.  The Effects of Synthetically Modified Natural Compounds on ABC Transporters.

Authors:  Daniel Dantzic; Pawan Noel; Fabrice Merien; Dong-Xu Liu; Jun Lu; Haiyong Han; Mark J McKeage; Yan Li
Journal:  Pharmaceutics       Date:  2018-08-09       Impact factor: 6.321

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

5.  Efficient N-arylation of 4-chloroquinazolines en route to novel 4-anilinoquinazolines as potential anticancer agents.

Authors:  Rodolfo H V Nishimura; Thiago Dos Santos; Valter E Murie; Luciana C Furtado; Leticia V Costa-Lotufo; Giuliano C Clososki
Journal:  Beilstein J Org Chem       Date:  2021-12-22       Impact factor: 2.883

Review 6.  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

Review 7.  MSCs as Tumor-Specific Vectors for the Delivery of Anticancer Agents-A Potential Therapeutic Strategy in Cancer Diseases: Perspectives for Quinazoline Derivatives.

Authors:  Monika Szewc; Elżbieta Radzikowska-Bűchner; Paulina Wdowiak; Joanna Kozak; Piotr Kuszta; Ewa Niezabitowska; Joanna Matysiak; Konrad Kubiński; Maciej Masłyk
Journal:  Int J Mol Sci       Date:  2022-03-02       Impact factor: 5.923

8.  Binding mode analysis of ABCA7 for the prediction of novel Alzheimer's disease therapeutics.

Authors:  Vigneshwaran Namasivayam; Katja Stefan; Jens Pahnke; Sven Marcel Stefan
Journal:  Comput Struct Biotechnol J       Date:  2021-11-27       Impact factor: 7.271

9.  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

10.  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

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