Open Access


Read more
image01

Online Manuscript Submission


Read more
image01

Submitted Manuscript Trail


Read more
image01

Online Payment


Read more
image01

Online Subscription


Read more
image01

Email Alert



Read more
image01

Original Research Article | OPEN ACCESS

Promising reduction of de novo resistance to endocrine therapies in breast cancer by small molecules from natural origin: A structural approach

Imaobong C Etti1 , Arifah A Kadir2, Esther J Uweh1, Cecilia Okuku3, Rasedee Abdullah4

1Department of Pharmacology and Toxicology, University of Uyo, Nigeria; 2Department of Veterinary Preclinical Science, Faculty of Veterinary Medicine, Universiti Putra Malaysia, Serdang 43400, Malaysia; 3Department of Chemical Pathology, University of Uyo Teaching Hospital, Uyo, Akwa Ibom State, Nigeria; 4Department of Veterinary Pathology and Microbiology, Faculty of Veterinary Medicine, Universiti Putra Malaysia, Serdang 43400, Malaysia.

For correspondence:-  Imaobong Etti   Email: imaobongetti@uniuyo.edu.ng   Tel:+2349079986921

Accepted: 6 June 2024        Published: 29 June 2024

Citation: Etti IC, Kadir AA, Uweh EJ, Okuku C, Abdullah R. Promising reduction of de novo resistance to endocrine therapies in breast cancer by small molecules from natural origin: A structural approach. Trop J Pharm Res 2024; 23(6):923-932 doi: 10.4314/tjpr.v23i6.2

© 2024 The authors.
This is an Open Access article that uses a funding model which does not charge readers or their institutions for access and distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0) and the Budapest Open Access Initiative (http://www.budapestopenaccessinitiative.org/read), which permit unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited..

Abstract

Purpose: To investigate the pharmacokinetic properties and inhibitory binding interaction between naturally occurring phytochemicals and a mutated human estrogen receptor (hERα) using an in silico approach.
Methods: Naturally occurring small molecules, viz, myricetin, catechin, pinobanksin, pinocembrin, gelagin and pinostrobin, were investigated for their drug-likeness and pharmacokinetic properties. After that, molecular docking was used to study their binding affinities to Y537S (Tyr537Ser: a mutated estrogen receptor alpha, prominent in metastatic breast cancers). The structure of the ligand-binding domain (LBD) of human estrogen receptor was retrieved from Protein Data Bank while the structures of the studied compounds were collected from PubChem database. Using Schrodinger docking studio, the binding interactions of each phytochemical were investigated with the mutated estrogen receptor.
Results: All studied compounds were observed to be drug-like with good physicochemical properties. Myricetin, catechin, pinobanksin, pinocembrin, gelagin and pinostrobin showed good solubilities in human oral absorption and good intestinal permeability, which are the rate-limiting barriers for oral drug absorption. The distribution of the studied ligands and their plasma protein binding parameters were better than those of tamoxifen, which has previously been reported with high potential binding to albumin. None of the studied compounds showed central nervous system toxicity. The binding studies revealed good inhibition of the LBD of Y537S-hERα. This is a targeted approach to selectively inhibit this receptor which has been reported to confer ligand-independent functions to ERα. This inhibition prevents downstream signaling and metastasis, rendering breast cancer cells harboring such mutations susceptible to apoptosis upon treatment with endocrine therapies.
Conclusion: The compounds have the potential to mitigate de novo resistance in breast cancer cells harboring mutated estrogen receptors and should be further investigated as they are promising for oral delivery.

Keywords: Cancer, Mutation, Estrogen receptor, In silico, Schrodinger, Molecular docking

Impact Factor
Thompson Reuters (ISI): 0.6 (2023)
H-5 index (Google Scholar): 49 (2023)

Article Tools

Share this article with



Article status: Free
Fulltext in PDF
Similar articles in Google
Similar article in this Journal:

Archives

2024; 23: 
1,   2,   3,   4,   5,   6,   7,   8,   9,   10
2023; 22: 
1,   2,   3,   4,   5,   6,   7,   8,   9,   10,   11,   12
2022; 21: 
1,   2,   3,   4,   5,   6,   7,   8,   9,   10,   11,   12
2021; 20: 
1,   2,   3,   4,   5,   6,   7,   8,   9,   10,   11,   12
2020; 19: 
1,   2,   3,   4,   5,   6,   7,   8,   9,   10,   11,   12
2019; 18: 
1,   2,   3,   4,   5,   6,   7,   8,   9,   10,   11,   12
2018; 17: 
1,   2,   3,   4,   5,   6,   7,   8,   9,   10,   11,   12
2017; 16: 
1,   2,   3,   4,   5,   6,   7,   8,   9,   10,   11,   12
2016; 15: 
1,   2,   3,   4,   5,   6,   7,   8,   9,   10,   11,   12
2015; 14: 
1,   2,   3,   4,   5,   6,   7,   8,   9,   10,   11,   12
2014; 13: 
1,   2,   3,   4,   5,   6,   7,   8,   9,   10,   11,   12
2013; 12: 
1,   2,   3,   4,   5,   6
2012; 11: 
1,   2,   3,   4,   5,   6
2011; 10: 
1,   2,   3,   4,   5,   6
2010; 9: 
1,   2,   3,   4,   5,   6
2009; 8: 
1,   2,   3,   4,   5,   6
2008; 7: 
1,   2,   3,   4
2007; 6: 
1,   2,   3,   4
2006; 5: 
1,   2
2005; 4: 
1,   2
2004; 3: 
1
2003; 2: 
1,   2
2002; 1: 
1,   2

News Updates