Selectively cross-linked hydrogel-based cocktail drug delivery micro-chip for colon cancer combinatorial drug

Kiran Kaladharan1, Chih-Hsuan Ouyang1, Hsin-Yu Yang1

  • 1Engineering and System Science, National Tsing Hua University, Hsinchu, Taiwan, Republic of China. fangang@ess.nthu.edu.tw.

Lab on a Chip
|September 9, 2024
PubMed

Insights

This study introduces a novel hydrogel drug chip for rapid combinatorial cancer therapy screening. The platform precisely quantifies and releases drug combinations, accelerating the identification of effective cancer treatments.

Area of Science:

  • Biomedical Engineering
  • Materials Science
  • Oncology

Background:

  • Cancer is a leading global cause of death, driving the need for advanced treatment strategies.
  • Combinatorial drug therapy offers enhanced efficacy but requires precise control over drug dosing and release.
  • Current methods for screening drug combinations are time-consuming and inefficient.

Purpose of the Study:

  • To develop a hydrogel-based platform for simultaneous quantification and release of drug cocktails for cancer screening.
  • To integrate an artificial intelligence platform for identifying optimal drug-dose combinations.
  • To demonstrate a faster, more precise, and efficient method for combinatorial drug screening.

Main Methods:

  • A selectively cross-linked hydrogel array on a PDMS substrate was fabricated using UV photolithography.
  • Anticancer drug cocktails were precisely loaded and released in parallel into HCT-116 colon cancer cells.
  • An artificial intelligence-based complex system response (AI-CSR) platform was utilized to analyze screening results.

Main Results:

  • The platform successfully screened 155 drug-dose combinations in just two and a half hours.
  • The system demonstrated high efficiency with low drug consumption (1 μL per chip patch).
  • Optimal drug-dose combinations were identified using the AI-CSR platform.

Conclusions:

  • The developed PDMS drug-loaded hydrogel platform offers a novel and expedited approach for cocktail drug screening.
  • This method significantly improves the speed and precision of identifying effective cancer treatment combinations.
  • The platform holds promise for accelerating drug discovery and personalized cancer therapy.