Purpose <p>This study aimed to characterize the electrical admittance signatures of gastric adenocarcinoma cells using a validated dielectrophoretic microfluidic platform. The primary objective was to determine whether gastric cancer cells exhibit admittance behaviors distinct from normal gastric epithelial cells and to compare these characteristics with previously reported trends in lung and esophageal cancer models.</p> Methods <p>Three human gastric cancer cell lines (AGS, MKN45, and TSGH-9201) and one normal gastric epithelial cell line (GES-1) were analyzed at concentrations ranging from 1,400 to 11,200 cells. A dielectrophoretic platform incorporating interdigitated electrodes was employed to trap suspended cells and quantify admittance at 4&#xa0;kHz. Positive dielectrophoretic forces enabled stable cell capture and label-free electrical measurement with strong linearity and high signal-to-noise performance.</p> Results <p>GES-1 cells exhibited markedly higher admittance values than the gastric cancer cell lines AGS and MKN45, indicating an inverse admittance relationship between malignant and normal gastric cells. TSGH-9201 showed admittance values comparable to GES-1, consistent with its reported non-tumorigenic phenotype. These results contrast with observations in lung and esophageal cancers, where cancer cells typically demonstrate higher admittance than normal cells. The distinct characteristics observed in gastric cancer cells may reflect differences in cellular composition, morphology, or mucin-related biochemical properties.</p> Conclusion <p>The findings demonstrate that admittance behavior is cancer-type dependent, with gastric adenocarcinoma cells displaying significantly lower admittance than normal gastric epithelial cells. These results highlight the unique bioelectrical properties of gastric cancer and support the broader utility of impedance-based microfluidic platforms for comparative electrical characterization across diverse cancer types.</p>

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Inverse Admittance Characteristics of Gastric Cancer Cells Measured by a Validated Dielectrophoretic Microfluidic Platform

  • Jia‑Jiun Tsai,
  • Yun-Jung Tsai,
  • Mei Yu Huang,
  • Chun-Ping Jen,
  • Shu-Hui Lin

摘要

Purpose

This study aimed to characterize the electrical admittance signatures of gastric adenocarcinoma cells using a validated dielectrophoretic microfluidic platform. The primary objective was to determine whether gastric cancer cells exhibit admittance behaviors distinct from normal gastric epithelial cells and to compare these characteristics with previously reported trends in lung and esophageal cancer models.

Methods

Three human gastric cancer cell lines (AGS, MKN45, and TSGH-9201) and one normal gastric epithelial cell line (GES-1) were analyzed at concentrations ranging from 1,400 to 11,200 cells. A dielectrophoretic platform incorporating interdigitated electrodes was employed to trap suspended cells and quantify admittance at 4 kHz. Positive dielectrophoretic forces enabled stable cell capture and label-free electrical measurement with strong linearity and high signal-to-noise performance.

Results

GES-1 cells exhibited markedly higher admittance values than the gastric cancer cell lines AGS and MKN45, indicating an inverse admittance relationship between malignant and normal gastric cells. TSGH-9201 showed admittance values comparable to GES-1, consistent with its reported non-tumorigenic phenotype. These results contrast with observations in lung and esophageal cancers, where cancer cells typically demonstrate higher admittance than normal cells. The distinct characteristics observed in gastric cancer cells may reflect differences in cellular composition, morphology, or mucin-related biochemical properties.

Conclusion

The findings demonstrate that admittance behavior is cancer-type dependent, with gastric adenocarcinoma cells displaying significantly lower admittance than normal gastric epithelial cells. These results highlight the unique bioelectrical properties of gastric cancer and support the broader utility of impedance-based microfluidic platforms for comparative electrical characterization across diverse cancer types.