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Published on: October 4, 2017
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.
Abstract:
Cancer, ranked as the second leading cause of global mortality with a prevalence of 1 in 6 deaths, necessitates innovative approaches for effective treatment. Combinatorial drug therapy for cancer treatment targets several key pathways simultaneously and potentially enhances anti-cancer efficacy without intolerable side effects. However, it demands precise and accurate control of drug-dose combinations and their release. In this study, we demonstrated a selectively cross-linked hydrogel-based platform that can quantify and release drugs simultaneously for in-parallel cocktail drug screening. PDMS was used as the flow channel substrate and the poly (ethylene glycol) diacrylate (PEGDA) hydrogel array was formed by UV exposure using the photomask. Employing our platform, cocktails of anticancer drugs are precisely loaded and simultaneously released in-parallel into HCT-116 colon cancer cells, facilitating combinatorial drug screening. The integration of an artificial intelligence-based complex system response (AI-CSR) platform successfully identifies optimal drug-dose combinations from a pool of ten approved drugs. Notably, our cocktail drug chip demonstrates exceptional efficiency, screening 155 drug-dose combinations within a brief two and a half hours, a marked improvement over traditional methods. Furthermore, the device exhibits low drug consumption, requiring a mere 1 μL per patch of chip. Thus, our developed PDMS drug-loaded hydrogel platform presents a novel and expedited approach to quantifying drug concentrations, promising to be a faster, efficient and more precise approach for conducting cocktail drug screening experiments.
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.
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