Jump to main content
Jump to site search

Issue 5, 2016
Previous Article Next Article

Selectivity profile of afatinib for EGFR-mutated non-small-cell lung cancer

Author affiliations

Abstract

EGFR-mutated non-small-cell lung cancer (NSCLC) has long been a research focus in lung cancer studies. Besides reversible tyrosine kinase inhibitors (TKIs), new-generation irreversible inhibitors, such as afatinib, embark on playing an important role in NSCLC treatment. To achieve an optimal application of these inhibitors, the correlation between the EGFR mutation status and the potency of such an inhibitor should be decoded. In this study, the correlation was profiled for afatinib, based on a cohort of patients with the EGFR-mutated NSCLC. Relying on extracted DNAs from the paraffin-embedded tumor samples, EGFR mutations were detected by direct sequencing. Progression-free survival (PFS) and the response level were recorded as study endpoints. These PFS and response values were analyzed and correlated to different mutation types, implying a higher potency of afatinib to classic activation mutations (L858R and deletion 19) and a lower one to T790M-related mutations. To further bridge the mutation status with afatinib-related response or PFS, we conducted a computational study to estimate the binding affinity in a mutant–afatinib system, based on molecular structural modeling and dynamics simulations. The derived binding affinities were well in accordance with the clinical response or PFS values. At last, these computational binding affinities were successfully mapped to the patient response or PFS according to linear models. Consequently, a detailed mutation-response or mutation-PFS profile was drafted for afatinib, implying the selective nature of afatinib to various EGFR mutants and further encouraging the design of specialized therapies or innovative drugs.

Graphical abstract: Selectivity profile of afatinib for EGFR-mutated non-small-cell lung cancer

Back to tab navigation

Supplementary files

Publication details

The article was received on 18 Jan 2016, accepted on 26 Feb 2016 and first published on 26 Feb 2016


Article type: Paper
DOI: 10.1039/C6MB00038J
Citation: Mol. BioSyst., 2016,12, 1552-1563
  •   Request permissions

    Selectivity profile of afatinib for EGFR-mutated non-small-cell lung cancer

    D. D. Wang, V. H. F. Lee, G. Zhu, B. Zou, L. Ma and H. Yan, Mol. BioSyst., 2016, 12, 1552
    DOI: 10.1039/C6MB00038J

Search articles by author

Spotlight

Advertisements