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Updated: Jul 15, 2026

Employing Digital Droplet PCR to Detect BRAF V600E Mutations in Formalin-fixed Paraffin-embedded Reference Standard Cell Lines

Employing Digital Droplet PCR to Detect BRAF V600E Mutations in Formalin-fixed Paraffin-embedded Reference Standard Cell Lines

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Profiling Epidermal Growth Factor Receptor DNA Mutations In Circulating Rare Cells Using A Cell Isolation System And

Yoon-Tae Kang¹, Srikanth Perike², Adam Corner²

¹Bio-Rad Laboratories; Yoontae_kang@bio-rad.com.

Journal of Visualized Experiments : Jove

|July 13, 2026

Summary

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Detecting epidermal growth factor gene (EGFR) mutations in rare circulating tumor cells (CTCs) from lung cancer patients offers new therapeutic insights. This study demonstrates a method for capturing and analyzing CTCs for EGFR mutations using droplet digital PCR (ddPCR).

Area of Science:

Oncology
Molecular Biology
Genetics

Background:

Epidermal growth factor gene (EGFR) mutations are key for guiding lung cancer treatment.
Current methods for detecting EGFR mutations include tumor biopsies and circulating tumor DNA (ctDNA) analysis.
Analyzing circulating tumor cells (CTCs) for EGFR mutations can provide deeper insights into targeted therapy efficacy and patient prognosis, particularly in non-small cell lung cancer (NSCLC).

Purpose of the Study:

To present a protocol for capturing CTCs from whole blood.
To assess the molecular content of captured CTCs for EGFR mutations using droplet digital PCR (ddPCR).
To highlight the potential of this method for analyzing rare CTCs in NSCLC.

Main Methods:

Utilized a semi-automated, size-based cell isolation platform to capture CTCs from whole blood.

Related Experiment Videos

Last Updated: Jul 15, 2026

Employing Digital Droplet PCR to Detect BRAF V600E Mutations in Formalin-fixed Paraffin-embedded Reference Standard Cell Lines

Employing Digital Droplet PCR to Detect BRAF V600E Mutations in Formalin-fixed Paraffin-embedded Reference Standard Cell Lines

Published on: October 8, 2015

Recovered captured CTCs for downstream molecular analysis.

Performed ddPCR with specific assays for EGFR pT790M and EGFR pL858R mutations on genomic DNA from captured cells.

Main Results:

Successfully enriched two lung cancer cell lines (A549 and H1975) from whole blood.
Accurately quantified EGFR mutations within the H1975 cell line using ddPCR.
Demonstrated the feasibility of capturing CTCs and analyzing their molecular content.

Conclusions:

This protocol offers a viable approach for capturing CTCs and analyzing EGFR mutations.
The method has realistic potential for interrogating the genomic information of rare CTCs.
This technique can aid in personalized medicine for lung cancer patients by identifying actionable mutations.