Abstract

Human (h) carbonic anhydrase (CAs, EC 4.2.1.1) isoforms IX and XII were recently confirmed as anticancer targets against solid hypoxic tumours. The “three-tails approach” has been proposed as an extension of the forerunner “tail” and “dual-tail approach” to fully exploit the amino acid differences at the medium/outer active site rims among different hCAs and to obtain more isoform-selective inhibitors. Many three-tailed inhibitors (TTIs) showed higher selectivity against the tumour-associated isoforms hCA IX and XII with respect to the off-targets hCA I and II. X-ray crystallography studies were performed to investigate the binding mode of four TTIs in complex with a hCA IX mimic. The ability of the most potent and selective TTIs to reduce in vitro the viability of colon cancer (HT29), prostate adenocarcinoma (PC3), and breast cancer (ZR75-1) cell lines was evaluated in normoxic (21% O2) and hypoxic (3% O2) conditions demonstrating relevant anti-proliferative effects.

Details

Title
The three-tails approach as a new strategy to improve selectivity of action of sulphonamide inhibitors against tumour-associated carbonic anhydrase IX and XII
Author
Bonardi, Alessandro 1 ; Bua, Silvia 2 ; Combs, Jacob 3 ; Lomelino, Carrie 3 ; Andring, Jacob 3 ; Sameh Mohamed Osman 4 ; Toti, Alessandra 2   VIAFID ORCID Logo  ; Lorenzo Di Cesare Mannelli 2   VIAFID ORCID Logo  ; Gratteri, Paola 5 ; Ghelardini, Carla 2 ; McKenna, Robert 3 ; Nocentini, Alessio 2   VIAFID ORCID Logo  ; Supuran, Claudiu T 2   VIAFID ORCID Logo 

 Department NEUROFARBA – Pharmaceutical and Nutraceutical Section, University of Firenze, Florence, Italy; Department NEUROFARBA – Pharmaceutical and Nutraceutical Section, Laboratory of Molecular Modeling Cheminformatics & QSAR, University of Firenze, Florence, Italy 
 Department NEUROFARBA – Pharmaceutical and Nutraceutical Section, University of Firenze, Florence, Italy 
 Department of Biochemistry and Molecular Biology, College of Medicine, University of Florida, Gainesville, FL, USA 
 Chemistry Department, College of Science, King Saud University, Riyadh, Saudi Arabia 
 Department NEUROFARBA – Pharmaceutical and Nutraceutical Section, Laboratory of Molecular Modeling Cheminformatics & QSAR, University of Firenze, Florence, Italy 
Pages
930-939
Publication year
2022
Publication date
Dec 2022
Publisher
Taylor & Francis Ltd.
ISSN
14756366
e-ISSN
14756374
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2727916084
Copyright
© 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This work is licensed under the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.