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Mechanisms of primary resistance to EGFR targeted therapy in advanced lung adenocarcinomas
Ying Jin1, Xun Shi2, Jun Zhao2
1Department of Medical Oncology, Zhejiang Cancer Hospital, Hangzhou, Zhejiang, China; Zhejiang Key Laboratory of Radiation Oncology, Hangzhou, Zhejiang, China.
Introduction:
Increasing evidence leads to a ratiocination that genetic heterogeneity of the lung adenocarcinoma with EGFR mutations may impact clinical responses and outcomes to EGFR tyrosine kinase inhibitor (TKI) treatments.
Methods:
We performed genetic profiling of pre-treatment samples of 69 lung adenocarcinoma patients, including tumor FFPE and cell-free DNA (cfDNA), targeting 416 cancer-related genes using next generation sequencing. We analyzed mutation concordance across sample types and investigated potential mechanisms that confer primary resistance to EGFR-TKIs in patients with short progression-free survival (PFS) versus those with long PFS.
Results:
We detected a total of 200 actionable genetic alterations (mean: 2.9 variants/patient, range: 1-7 variants) in tumor FFPE and 140 actionable genetic alterations (mean: 2.0 variants/patient, range: 0-5 variants) in matched cfDNA, respectively. All patients had EGFR TKI-sensitizing mutations, including EGFR Ex19del, L858R, G719S/C, and L861Q. Concurrent TP53 mutations were most commonly observed in 72.5% of patients, followed by EGFR amplification (20.3%), RB1 (10.1%), PIK3CA (7.2%), and MYC (5.8%). For EGFR activating mutations, the concordance rate was 88.2% between cfDNA and FFPE samples. Furthermore, we identified genes that potentially confer primary resistance to EGFR-TKIs including CDC73, SMAD4, RB1 and PIK3CA. We also report signaling pathways enriched in patients with TKI primary resistance.
Conclusions:
We note the genetic complexity and heterogeneity of EGFR-mutated lung adenocarcinoma and underscore that mutation status is highly concordant between tumor FFPE and cfDNA samples. This study also highlights the alterations that potentially confer primary resistance to EGFR TKI treatments in patients who demonstrated short PFS.
Insights
Genetic heterogeneity in EGFR-mutated lung adenocarcinoma impacts treatment response. Concordant mutation profiles between tumor and cfDNA samples were observed, highlighting resistance mechanisms to EGFR tyrosine kinase inhibitors (TKIs).
Area of Science:
- Oncology
- Genetics
- Molecular Biology
Background:
- Genetic heterogeneity in lung adenocarcinoma with EGFR mutations influences patient response to EGFR tyrosine kinase inhibitor (TKI) treatments.
- Understanding these genetic variations is crucial for optimizing therapeutic strategies.
Purpose of the Study:
- To investigate the genetic landscape of EGFR-mutated lung adenocarcinoma.
- To analyze mutation concordance between tumor FFPE and cell-free DNA (cfDNA) samples.
- To identify genetic mechanisms conferring primary resistance to EGFR-TKIs.
Main Methods:
- Next-generation sequencing of 416 cancer-related genes in pre-treatment tumor FFPE and cfDNA from 69 lung adenocarcinoma patients.
- Analysis of mutation concordance across sample types.
- Comparison of genetic profiles between patients with short versus long progression-free survival (PFS).
Main Results:
- Detected actionable genetic alterations in both tumor FFPE (mean 2.9 variants/patient) and cfDNA (mean 2.0 variants/patient).
- High concordance (88.2%) for EGFR activating mutations between cfDNA and FFPE samples.
- Identified potential primary resistance genes (e.g., CDC73, SMAD4, RB1, PIK3CA) and enriched signaling pathways in patients with short PFS.
Conclusions:
- EGFR-mutated lung adenocarcinoma exhibits significant genetic complexity and heterogeneity.
- Mutation status is highly concordant between tumor FFPE and cfDNA, validating cfDNA as a reliable source.
- Specific genetic alterations and pathways are associated with primary resistance to EGFR-TKI therapy, informing future treatment decisions.
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Overview of Advanced Functional Groups
Functional groups are groups of atoms with specific chemical properties that occur within organic molecules and are sometimes denoted as “R”. Functional groups can “functionalize” a compound by enabling it to adopt different physical and chemical properties.
Types of Advanced Functional Groups
The table below summarizes some of the major functional groups in organic chemistry.

