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Deciphering the Structural Effects of Activating EGFR Somatic Mutations with Molecular Dynamics Simulation
Published on: May 20, 2020
Identifying EGFR-Expressed Cells and Detecting EGFR Multi-Mutations at Single-Cell Level by Microfluidic Chip
Ren Li1,2,3, Mingxing Zhou1, Jine Li1
1CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology of China, Beijing, 100190, People's Republic of China.
Abstract:
EGFR mutations companion diagnostics have been proved to be crucial for the efficacy of tyrosine kinase inhibitor targeted cancer therapies. To uncover multiple mutations occurred in minority of EGFR-mutated cells, which may be covered by the noises from majority of un-mutated cells, is currently becoming an urgent clinical requirement. Here we present the validation of a microfluidic-chip-based method for detecting EGFR multi-mutations at single-cell level. By trapping and immunofluorescently imaging single cells in specifically designed silicon microwells, the EGFR-expressed cells were easily identified. By in situ lysing single cells, the cell lysates of EGFR-expressed cells were retrieved without cross-contamination. Benefited from excluding the noise from cells without EGFR expression, the simple and cost-effective Sanger's sequencing, but not the expensive deep sequencing of the whole cell population, was used to discover multi-mutations. We verified the new method with precisely discovering three most important EGFR drug-related mutations from a sample in which EGFR-mutated cells only account for a small percentage of whole cell population. The microfluidic chip is capable of discovering not only the existence of specific EGFR multi-mutations, but also other valuable single-cell-level information: on which specific cells the mutations occurred, or whether different mutations coexist on the same cells. This microfluidic chip constitutes a promising method to promote simple and cost-effective Sanger's sequencing to be a routine test before performing targeted cancer therapy.
Insights
This study validates a microfluidic chip for detecting EGFR multi-mutations in single cancer cells. This method enables cost-effective mutation analysis, crucial for personalized targeted therapies.
Area of Science:
- Oncology
- Biotechnology
- Genomics
Background:
- Epidermal Growth Factor Receptor (EGFR) mutations are key targets for tyrosine kinase inhibitor (TKI) cancer therapies.
- Detecting multiple EGFR mutations in rare cancer cell populations is clinically significant but challenging due to noise from wild-type cells.
Purpose of the Study:
- To validate a novel microfluidic chip-based method for single-cell level detection of EGFR multi-mutations.
- To enable cost-effective and precise identification of actionable mutations for targeted cancer therapy.
Main Methods:
- Single cells were trapped and immunofluorescently imaged on a microfluidic chip with silicon microwells to identify EGFR-expressing cells.
- EGFR-expressing cells were lysed in situ, and their lysates were retrieved without cross-contamination.
- Sanger sequencing was employed to detect EGFR multi-mutations, leveraging the exclusion of non-expressing cells to reduce noise.
Main Results:
- The microfluidic chip successfully identified EGFR-expressing cells and enabled precise detection of three key drug-related EGFR mutations.
- The method accurately identified mutations in samples with a low percentage of EGFR-mutated cells.
- The chip provided single-cell resolution, indicating which specific cells harbored mutations and if multiple mutations coexisted on the same cell.
Conclusions:
- The microfluidic chip-based method offers a sensitive and cost-effective approach for detecting EGFR multi-mutations at the single-cell level.
- This technology can enhance the utility of Sanger sequencing for routine clinical testing prior to EGFR-TKI targeted cancer therapy.
- The method facilitates personalized medicine by revealing mutation status at the individual cell level.
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