Understanding and targeting resistance mechanisms in cancer

Author:

Lei Zi‐Ning12,Tian Qin1,Teng Qiu‐Xu2,Wurpel John N. D.2,Zeng Leli1,Pan Yihang1,Chen Zhe‐Sheng2ORCID

Affiliation:

1. Precision Medicine Center Scientific Research Center The Seventh Affiliated Hospital Sun Yat‐Sen University Shenzhen P. R. China

2. Department of Pharmaceutical Sciences College of Pharmacy and Health Sciences St. John's University Queens New York USA

Abstract

AbstractResistance to cancer therapies has been a commonly observed phenomenon in clinical practice, which is one of the major causes of treatment failure and poor patient survival. The reduced responsiveness of cancer cells is a multifaceted phenomenon that can arise from genetic, epigenetic, and microenvironmental factors. Various mechanisms have been discovered and extensively studied, including drug inactivation, reduced intracellular drug accumulation by reduced uptake or increased efflux, drug target alteration, activation of compensatory pathways for cell survival, regulation of DNA repair and cell death, tumor plasticity, and the regulation from tumor microenvironments (TMEs). To overcome cancer resistance, a variety of strategies have been proposed, which are designed to enhance the effectiveness of cancer treatment or reduce drug resistance. These include identifying biomarkers that can predict drug response and resistance, identifying new targets, developing new targeted drugs, combination therapies targeting multiple signaling pathways, and modulating the TME. The present article focuses on the different mechanisms of drug resistance in cancer and the corresponding tackling approaches with recent updates. Perspectives on polytherapy targeting multiple resistance mechanisms, novel nanoparticle delivery systems, and advanced drug design tools for overcoming resistance are also reviewed.

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Wiley

Subject

Cell Biology,Biochemistry (medical),Genetics (clinical),Computer Science Applications,Drug Discovery,Genetics,Oncology,Immunology and Allergy

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