ArticleBMC cancer2020
Mutational spectrum of acquired resistance to reversible versus irreversible EGFR tyrosine kinase inhibitors.
Article in BMC cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 31 citations in OpenAlex.
- Comparison of T790M Acquisition After Treatment With First- and Second-Generation Tyrosine-Kinase Inhibitors: A Systematic Review and Network Meta-Analysis.Frontiers in oncology · 2022Pooled it
- Outcomes in Patients With Lung Adenocarcinoma With Transformation to Small Cell Lung Cancer After EGFR Tyrosine Kinase Inhibitors Resistance: A Systematic Review and Pooled Analysis.Frontiers in oncology · 2021Pooled it
- Case Report: Dynamic TKI combination strategies for EGFR-mutant NSCLC with acquired ROS1 fusion and brain metastases.Frontiers in oncology · 2026Article
- Affibody-Derived Drug Conjugates Targeting The Epidermal Growth Factor Receptor Are Potent And Specific Cytotoxic Agents.ACS pharmacology & translational science · 2025Article
- Novel Resistance Mechanisms to Second-Generation EGFR Tyrosine Kinase Inhibitor Afatinib and Associations With Genomic Features in NSCLC.Genes, chromosomes & cancer · 2025Article
- L858R/L718Q and L858R/L792H Mutations of EGFR Inducing Resistance Against Osimertinib by Forming Additional Hydrogen Bonds.Proteins · 2025Article
- Drug Resistance in Late-Stage Epidermal Growth Factor Receptor (EGFR)-Mutant Non-Small Cell Lung Cancer Patients After First-Line Treatment with Tyrosine Kinase Inhibitors.International journal of molecular sciences · 2025Review
- Single-Cell RNA Sequencing in Unraveling Acquired Resistance to EGFR-TKIs in Non-Small Cell Lung Cancer: New Perspectives.International journal of molecular sciences · 2025Review
- Antitumor activity of afatinib in EGFR T790M-negative human oral cancer therapeutically targets mTOR/Mcl-1 signaling axis.Cellular oncology (Dordrecht, Netherlands) · 2025Article
- EGFR-Tyrosine Kinase Inhibitor Retreatment in Non-Small-Cell Lung Cancer Patients Previously Exposed to EGFR-TKI: A Systematic Review and Meta-Analysis.Journal of personalized medicine · 2024Review
- Molecular and functional characterization of reversible-sunitinib-tolerance state in human renal cell carcinoma.Journal of cellular and molecular medicine · 2024Article
- An Unexpected Diagnosis of Second Primary Malignancy in a Breast Cancer Survivor: A Case Report.Cureus · 2023Article
- Monitoring of T790M in plasma ctDNA of advanced EGFR-mutant NSCLC patients on first- or second-generation tyrosine kinase inhibitors.BMC cancer · 2023Article
- Current Landscape of Therapeutic Resistance in Lung Cancer and Promising Strategies to Overcome Resistance.Cancers · 2022Review
- Review
- Platelet Activation in High D-Dimer Plasma Plays a Role in Acquired Resistance to Epidermal Growth Factor Receptor Tyrosine Kinase Inhibitors in Patients with Mutant Lung Adenocarcinoma.Frontiers in oncology · 2022Article
- Comparison of afatinib and erlotinib combined with bevacizumab in untreated stage IIIB/IV epidermal growth factor receptor-mutated lung adenocarcinoma patients: a multicenter clinical analysis study.Therapeutic advances in medical oncology · 2022Article
- Article
- The next tier of EGFR resistance mutations in lung cancer.Oncogene · 2021Review
Corrections and comments
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Authors and funding
13 authors at 1 institution in 1 country.
Funding
Abstract
backgroundOver the past years, EGFR tyrosine kinase inhibitors (TKI) revolutionized treatment response. 1st-generation (reversible) EGFR TKI and later the 2nd -generation irreversible EGFR TKI Afatinib were aimed to improve treatment response. Nevertheless, diverse resistance mechanisms develop within the first year of therapy. Here, we evaluate the prevalence of acquired resistance mechanisms towards reversible and irreversible EGFR TKI.
methodsRebiopsies of patients after progression to EGFR TKI therapy (> 6 months) were targeted to histological and molecular analysis. Multiplexed targeted sequencing (NGS) was conducted to identify acquired resistance mutations (e.g. EGFR p.T790M). Further, Fluorescence in situ hybridisation (FISH) was applied to investigate the status of bypass mechanisms like, MET or HER2 amplification.
resultsOne hundred twenty-three rebiopsy samples of patients that underwent first-line EGFR TKI therapy (PFS ≥6 months) were histologically and molecularly profiled upon clinical progression. The EGFR p.T790M mutation is the major mechanism of acquired resistance in patients treated with reversible as well as irreversible EGFR TKI. Nevertheless a statistically significant difference for the acquisition of T790M mutation has been identified: 45% of afatinib- vs 65% of reversible EGFR TKI treated patients developed a T790M mutation (p-value 0.02). Progression free survival (PFS) was comparable in patients treated with irreversible EGFR irrespective of the sensitising primary mutation or the acquisition of p.T790M.
conclusionsThe EGFR p.T790M mutation is the most prominent mechanism of resistance to reversible and irreversible EGFR TKI therapy. Nevertheless there is a statistically significant difference of p.T790M acquisition between the two types of TKI, which might be of importance for clinical therapy decision.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.