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© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

Members of the EGFR family of tyrosine kinase receptors are major regulators of cellular proliferation, differentiation, and survival. In humans, abnormal activation of EGFR is associated with the development and progression of many cancer types, which makes it an attractive target for molecular-guided therapy. Two classes of EGFR-targeted cancer therapeutics include monoclonal antibodies (mAbs), which bind to the extracellular domain of EGFR, and tyrosine kinase inhibitors (TKIs), which mostly target the intracellular part of EGFR and inhibit its activity in molecular signaling. While EGFR-specific mAbs and three generations of TKIs have demonstrated clinical efficacy in various settings, molecular evolution of tumors leads to apparent and sometimes inevitable resistance to current therapeutics, which highlights the need for deeper research in this field. Here, we tried to provide a comprehensive and systematic overview of the rationale, molecular mechanisms, and clinical significance of the current EGFR-targeting drugs, highlighting potential candidate molecules in development. We summarized the underlying mechanisms of resistance and available personalized predictive approaches that may lead to improved efficacy of EGFR-targeted therapies. We also discuss recent developments and the use of specific therapeutic strategies, such as multi-targeting agents and combination therapies, for overcoming cancer resistance to EGFR-specific drugs.

Details

Title
Targeted Inhibitors of EGFR: Structure, Biology, Biomarkers, and Clinical Applications
Author
Shaban, Nina 1   VIAFID ORCID Logo  ; Kamashev, Dmitri 2 ; Emelianova, Aleksandra 3 ; Buzdin, Anton 4 

 Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Moscow 117997, Russia; [email protected] (D.K.); [email protected] (A.B.); Laboratory for Translational Genomic Bioinformatics, Moscow Institute of Physics and Technology, Dolgoprudny 141701, Russia 
 Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Moscow 117997, Russia; [email protected] (D.K.); [email protected] (A.B.); Laboratory for Translational Genomic Bioinformatics, Moscow Institute of Physics and Technology, Dolgoprudny 141701, Russia; Institute of Personalized Oncology, I.M. Sechenov First Moscow State Medical University, Moscow 119991, Russia 
 World-Class Research Center “Digital Biodesign and Personalized Healthcare”, Sechenov First Moscow State Medical University, Moscow 119991, Russia; [email protected] 
 Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Moscow 117997, Russia; [email protected] (D.K.); [email protected] (A.B.); Laboratory for Translational Genomic Bioinformatics, Moscow Institute of Physics and Technology, Dolgoprudny 141701, Russia; Institute of Personalized Oncology, I.M. Sechenov First Moscow State Medical University, Moscow 119991, Russia; PathoBiology Group, European Organization for Research and Treatment of Cancer (EORTC), 1200 Brussels, Belgium 
First page
47
Publication year
2024
Publication date
2024
Publisher
MDPI AG
e-ISSN
20734409
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2912522750
Copyright
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.