Molecular mechanisms of resistance in epidermal growth factor receptor-mutant lung adenocarcinomas
Open accessAbstract
The discovery of epidermal growth factor receptor (EGFR) mutations in nonsmall cell lung cancer (NSCLC) has allowed the identification of a subset of patients whose tumours are exquisitely sensitive to EGFR tyrosine kinase inhibitors (TKIs). Despite the efficacy and superiority of EGFR TKIs over chemotherapy as first-line therapy, all patients will ultimately develop progressive disease, with a median of 9-13 months progression-free survival. A better understanding of the molecular mechanisms underlying resistance to EGFR TKIs can help design new drugs and therapeutic strategies to overcome resistance. This has been illustrated by the new generation TKIs that are effective on the T790M mutation, which is the most frequent mechanism of acquired resistance to EGFR TKIs. In this article, we will address the main molecular mechanisms of primary and acquired resistance to EGFR TKIs in EGFR-mutant NSCLC.
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Several mechanisms of primary and acquired resistance to EGFR TKIs have been reported in in vitro NSCLC models and some have also been confirmed in patients.
“Several mechanisms of primary and acquired resistance to EGFR TKIs [67, 68] have been so far reported in in vitro NSCLC models and some have also been confirmed in patients.”
From A decade of EGFR inhibition in EGFR-mutated non small cell lung cancer (NSCLC): Old successes and future perspectives (2015) · cites this paper as [67]
Most patients progress after 9-12 months of EGFR TKI treatment, and multiple mechanisms of acquired resistance to first-generation EGFR TKIs have been described.
“The majority of patients will progress after 9-12 months of treatment with an EGFR TKI, and various mechanisms of acquired resistance to first-generation EGFR TKIs have been described [118].”
From Metastatic non-small-cell lung cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up (2016) · cites this paper as [118]
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Novello, S., Barlesi, F., Califano, R., Cufer, T., Ekman, S., Levra, M. G., Kerr, K., Popat, S., Reck, M., Senan, S., et al. (2016) · Annals of Oncology · doi:10.1093/annonc/mdw326 · Cited by 2,631 · see citing works
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Notch3-dependent β-catenin signaling mediates EGFR TKI drug persistence in EGFR mutant NSCLC
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- Authors
- Cortot, A. B., & Jänne, P. A.
- Affiliations
- Harvard University (US)
- Corresponding author
- Cortot, Alexis B.
- ORCID
- Cortot, Alexis B.
- Venue
- European Respiratory Review
- Publisher
- European Respiratory Society (ERS)
- Published
- 2014-08-31
- Volume
- 23
- Issue
- 133
- Pages
- 356-366
- ISSN
- 0905-9180 (ISSN-L)
- 1600-0617
- PMC
- PMC9487318
- OpenAlex
- W1983159571
- Cited by
- 158
- References
- 88
- Citations by year
- 2026: 3 · 2025: 3 · 2024: 3 · 2023: 12 · 2022: 16 · 2021: 22 · 2020: 10 · 2019: 21 · 2018: 16 · 2017: 19 · 2016: 15 · 2015: 16 · 2014: 2
- FWCI
- 2.97
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- European Respiratory Review (publishedVersion)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Topics
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Lung Cancer Treatments and Mutations
- Health Sciences › Medicine › Oncology › HER2/EGFR in Cancer Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Genomics and Diagnostics
- Keywords
- EGFR mutation, lung adenocarcinoma, non-small cell lung cancer, EGFR tyrosine kinase inhibitors, acquired drug resistance, primary resistance, T790M mutation, molecular mechanisms of resistance
- MeSH terms
- Carcinoma, Non-Small-Cell Lung, Humans, Lung Neoplasms, Mutation, Phenotype, Phosphotransferases, Smoking, Drug Resistance, Neoplasm, ErbB Receptors
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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