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.

Abstract

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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