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Updated: Jun 30, 2026

Cell-based Flow Cytometry Assay to Measure Cytotoxic Activity
Published on: December 17, 2013
Establishment of a Flow Cytometry Protocol for Binarily Detecting Circulating Tumor Cells with EGFR Mutation
Cheng-Yu Chang1,2, Chia-Chun Tu3, Shian-Ren Lin3
1Division of Chest Medicine, Department of Internal Medicine, Far Eastern Memorial Hospital, New Taipei City 220, Taiwan.
A new flow cytometry method detects EGFR mutations in circulating tumor cells (CTCs) from blood, offering a less invasive alternative to biopsies for non-small cell lung cancer (NSCLC) patient identification.
Area of Science:
- Oncology
- Proteomics
- Molecular Diagnostics
Background:
- EGFR mutations in non-small cell lung cancer (NSCLC) predict response to tyrosine kinase inhibitors (TKIs).
- Current EGFR mutation detection requires invasive tumor biopsies.
- Less invasive methods for EGFR mutation profiling are needed, especially using circulating tumor cells (CTCs).
Purpose of the Study:
- To develop and validate a flow cytometry-based proteomic assay for detecting EGFR L858R mutations in CTCs.
- To evaluate the feasibility of using CTCs for non-invasive EGFR mutation profiling in NSCLC patients.
Main Methods:
- Established a flow cytometry method to detect EGFR L858R-bearing CTCs.
- Spiked NCI-H1975 cells into blood from healthy donors for method optimization.
- Applied the method to blood samples from 21 NSCLC patients and 10 healthy donors.
Main Results:
- The assay identified EGFR L858R-bearing CTCs in all seven patients with this mutation.
- The method showed 100% positive and 71% negative agreement compared to PCR.
- Detected EGFR L858R-bearing CTCs in three patients initially classified as EGFR wild-type, with two experiencing partial responses to EGFR-TKIs.
Conclusions:
- A feasible, less invasive proteomic approach for binary EGFR mutation detection in CTCs was developed.
- This method offers a novel means for identifying NSCLC patients eligible for EGFR-TKI therapy.
- CTC analysis holds promise for non-invasive molecular profiling in cancer diagnostics.
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