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A comprehensive overview of the heterogeneity of EGFR exon 20 variants in NSCLC and (pre)clinical activity to currently available treatments
•EGFRex20+ NSCLC patients are treated irrespective of the location of the mutation;•The EGFRex20+ mutation location is the main determinant for selecting the optimal therapy;•The A763_Y764insFQEA mutation should be treated different;•A structural understanding of the impact of EGFRex20+ mutations is...
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Published in: | Cancer treatment reviews 2023-11, Vol.120, p.102628-102628, Article 102628 |
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Main Authors: | , , , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | •EGFRex20+ NSCLC patients are treated irrespective of the location of the mutation;•The EGFRex20+ mutation location is the main determinant for selecting the optimal therapy;•The A763_Y764insFQEA mutation should be treated different;•A structural understanding of the impact of EGFRex20+ mutations is warranted.
Activating EGFR mutations are commonly observed in non-small cell lung cancer (NSCLC). About 4–10 % of all activating epidermal growth factor receptor (EGFR) mutations are heterogenous in-frame deletion and/or insertion mutations clustering within exon 20 (EGFRex20+). NSCLC patients with EGFRex20+ mutations are treated as a single disease entity, irrespective of the type and location of the mutation. Here, we provide a comprehensive assessment of the literature reporting both in vitro and clinical drug sensitivity across different EGFRex20+ mutations. The activating A763_Y764insFQEA mutation has a better tumor response in comparison with mutations in the near- and far regions directly following the C-helix and should therefore be treated differently. For other EGFRex20+ mutations marked differences in treatment responses have been reported indicating the need for a classification beyond the exon-based classification. A further classification can be achieved using a structure–function modeling approach and experimental data using patient-derived cell lines. The detailed overview of TKI responses for each EGFRex20+ mutation can assist treating physicians to select the most optimal drug for individual NSCLC patients. |
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ISSN: | 0305-7372 1532-1967 |
DOI: | 10.1016/j.ctrv.2023.102628 |