Identification and Drug Screening of Single Cells from Human Tumors on Semiconductor Chip for Cancer Precision

Wenhao Hui1,2, Ka-Meng Lei1,2, Yingying Liu1,2

  • 1State Key Laboratory of Analog and Mixed-Signal VLSI, Institute of Microelectronics, University of Macau, Taipa, 999078, Macau.

Insights

This study introduces a semiconductor chip for simultaneous single-cell identification and drug screening. This system evaluates drug efficacy on cancer cells and toxicity on noncancerous cells, advancing personalized cancer medicine.

Area of Science:

  • Biomedical Engineering
  • Oncology
  • Nanotechnology

Background:

  • Personalized cancer treatment relies on drug screening of primary tumor cells.
  • Microfluidic platforms enable drug screening with limited biopsy samples.
  • Distinguishing cancer cells from noncancerous cells is crucial for accurate drug screening.

Purpose of the Study:

  • To develop an integrated system for simultaneous single-cell identification and drug screening on a semiconductor chip.
  • To enable dual evaluation of drug efficacy on cancer cells and toxicity on noncancerous cells.
  • To validate the system's accuracy and consistency for precision medicine applications.

Main Methods:

  • Integration of single-cell electric impedance sensing (IC-ECIS) on a semiconductor chip for cell identification.
  • Utilizing ultra-weak signal detection for distinguishing cancer cells without affecting cell vitality.
  • Performing on-chip drug screening and efficacy/toxicity evaluation, validated by off-chip experiments and exome sequencing.

Main Results:

  • Single-cell identification accuracy of approximately 80% on cell lines, with diagnostic results consistent with clinical pathology for tumor tissues.
  • Simultaneous evaluation of drug efficacy and toxicity on breast cancer models and clinical liver cancer patients.
  • On-chip drug screening results showed consistency with genetic mutation analysis (exome sequencing).

Conclusions:

  • The integrated semiconductor chip system enables accurate single-cell identification and simultaneous drug screening.
  • This technology facilitates dual evaluation of drug efficacy and toxicity, crucial for personalized cancer therapy.
  • The validated method supports precision medicine by aligning drug response with individual tumor genetics.

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