Literature DB >> 32615525

Repurposing old drugs to fight multidrug resistant cancers.

Jelena Dinić1, Thomas Efferth2, Alfonso T García-Sosa3, Jelena Grahovac4, José M Padrón5, Ilza Pajeva6, Flavio Rizzolio7, Simona Saponara8, Gabriella Spengler9, Ivanka Tsakovska6.   

Abstract

Overcoming multidrug resistance represents a major challenge for cancer treatment. In the search for new chemotherapeutics to treat malignant diseases, drug repurposing gained a tremendous interest during the past years. Repositioning candidates have often emerged through several stages of clinical drug development, and may even be marketed, thus attracting the attention and interest of pharmaceutical companies as well as regulatory agencies. Typically, drug repositioning has been serendipitous, using undesired side effects of small molecule drugs to exploit new disease indications. As bioinformatics gain increasing popularity as an integral component of drug discovery, more rational approaches are needed. Herein, we show some practical examples of in silico approaches such as pharmacophore modelling, as well as pharmacophore- and docking-based virtual screening for a fast and cost-effective repurposing of small molecule drugs against multidrug resistant cancers. We provide a timely and comprehensive overview of compounds with considerable potential to be repositioned for cancer therapeutics. These drugs are from diverse chemotherapeutic classes. We emphasize the scope and limitations of anthelmintics, antibiotics, antifungals, antivirals, antimalarials, antihypertensives, psychopharmaceuticals and antidiabetics that have shown extensive immunomodulatory, antiproliferative, pro-apoptotic, and antimetastatic potential. These drugs, either used alone or in combination with existing anticancer chemotherapeutics, represent strong candidates to prevent or overcome drug resistance. We particularly focus on outcomes and future perspectives of drug repositioning for the treatment of multidrug resistant tumors and discuss current possibilities and limitations of preclinical and clinical investigations.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Clinical cancer trials; Drug repurposing; Multidrug resistant cancer; Pharmacophore modelling; Virtual screening

Mesh:

Substances:

Year:  2020        PMID: 32615525     DOI: 10.1016/j.drup.2020.100713

Source DB:  PubMed          Journal:  Drug Resist Updat        ISSN: 1368-7646            Impact factor:   18.500


  18 in total

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2.  Protein Expression Profiling and Virtual Drug Screening as an Approach for Individualized Therapy of Small Cell Vaginal Carcinoma.

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Review 5.  High-dimensional role of AI and machine learning in cancer research.

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Journal:  Br J Cancer       Date:  2022-01-10       Impact factor: 9.075

Review 6.  Patient-Derived Tumor Organoids for Drug Repositioning in Cancer Care: A Promising Approach in the Era of Tailored Treatment.

Authors:  Silvia Vivarelli; Saverio Candido; Giuseppe Caruso; Luca Falzone; Massimo Libra
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7.  Royleanone Derivatives From Plectranthus spp. as a Novel Class of P-Glycoprotein Inhibitors.

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Journal:  Front Pharmacol       Date:  2020-11-17       Impact factor: 5.810

Review 8.  Roles for Structural Biology in the Discovery of Drugs and Agrochemicals Targeting Sterol 14α-Demethylases.

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Review 9.  Statin as a Potential Chemotherapeutic Agent: Current Updates as a Monotherapy, Combination Therapy, and Treatment for Anti-Cancer Drug Resistance.

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Review 10.  Towards an Integral Therapeutic Protocol for Breast Cancer Based upon the New H+-Centered Anticancer Paradigm of the Late Post-Warburg Era.

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Journal:  Int J Mol Sci       Date:  2020-10-10       Impact factor: 5.923

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