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Updated: Feb 2, 2026

Profiling Sensitivity to Targeted Therapies in EGFR-Mutant NSCLC Patient-Derived Organoids
Published on: November 22, 2021
Three new disease-progression modes in NSCLC patients after EGFR-TKI treatment by next-generation sequencing analysis
Yuqing Wei1, Kaikai Shen2, Tangfeng Lv1
1Department of Respiratory Medicine, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China.
Introduction:
Most non-small-cell lung cancer (NSCLC) patients who exhibit good clinical responses to EGFR-tyrosine kinase inhibitors (EGFR-TKIs) will inevitably develop disease progression. Herein, through next-generation sequencing (NGS), we aimed to investigate three new disease-progression modes of NSCLC patients after EGFR-TKI treatment.
Materials And Methods:
Patients with sensitive EGFR-mutations who acquired resistance to EGFR-TKIs and whose tissues were subjected to post-progression NGS were enrolled. The clinical characteristics, progression-free survival (PFS), genomic alterations and expression of EGFR-mutations among the three disease-progression modes were retrospectively analyzed.
Results And Conclusion:
The sites of disease progression were as follows: primary foci in 19.5% (8/41) (Mode 1), metastatic foci in 31.7% (13/41) (Mode 2), and both primary and metastatic foci in 48.8% (20/41) (Mode 3). The median PFS in Mode 1 was 6 months (95% CI 1-8), which was significantly shorter than the 11 months (95% CI 8-14) in Mode 2 and the 10 months (95% CI 3-16) in Mode 3 (p = 0.0084). The expression of Del19 was significantly different among the three modes (p = 0.02). The numbers and species of mutant genes in Mode 3 were obviously greater than those in Modes 1 and 2, and no gene amplifications were observed in Mode 2. Mutations in the TP53 gene were the most frequent genetic alteration found in our study, and these accounted for 48.8% (20/41) of all alterations. TP53 mutations in Mode 1 were mainly in exons 6 and 8, while in Mode 2 and Mode 3, all mutations were located from exon 4 to exon 8. A significant benefit in PFS was observed in the metastatic foci progression mode and in the dual primary and metastatic foci progression mode rather than in the primary foci progression mode, which had significant value in the design of therapeutic strategies.
Insights
Most non-small-cell lung cancer patients develop disease progression after EGFR-TKI treatment. This study identified three progression modes, with primary foci progression showing shorter progression-free survival, impacting treatment strategies.
Area of Science:
- Oncology
- Genomics
- Cancer Research
Background:
- Non-small-cell lung cancer (NSCLC) patients often develop resistance to EGFR-tyrosine kinase inhibitors (EGFR-TKIs).
- Understanding disease progression patterns is crucial for optimizing treatment strategies.
Purpose of the Study:
- To investigate three distinct disease progression modes in NSCLC patients after EGFR-TKI treatment using next-generation sequencing (NGS).
- To analyze clinical characteristics, progression-free survival (PFS), and genomic alterations across these progression modes.
Main Methods:
- Retrospective analysis of NSCLC patients with EGFR-mutations who acquired resistance to EGFR-TKIs.
- Utilized next-generation sequencing (NGS) on post-progression tissues.
- Compared clinical features, PFS, and genetic alterations among three identified progression modes (primary foci, metastatic foci, or both).
Main Results:
- Three progression modes were identified: primary foci (19.5%), metastatic foci (31.7%), and both (48.8%).
- Median PFS was significantly shorter in primary foci progression (6 months) compared to metastatic (11 months) or dual progression (10 months).
- TP53 mutations were the most frequent alteration (48.8%), with distinct mutation patterns observed across progression modes. Mode 3 showed greater gene diversity.
Conclusions:
- Disease progression in NSCLC after EGFR-TKI therapy can manifest in distinct patterns.
- Primary foci progression is associated with poorer PFS, highlighting the need for tailored therapeutic strategies.
- Genomic profiling, particularly TP53 mutations, provides insights into progression mechanisms and potential therapeutic targets.
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