Miniaturized Drug Sensitivity and Resistance Test on Patient-Derived Cells Using Droplet-Microarray

Author:

Popova Anna A.1,Dietrich Sascha2345,Huber Wolfgang45,Reischl Markus6,Peravali Ravindra1,Levkin Pavel A.17

Affiliation:

1. Karlsruhe Institute of Technology, Institute of Chemical and Biological Systems, Eggenstein-Leopoldshafen, Germany

2. National Center for Tumor Diseases, Heidelberg, Germany

3. Medizinische Klinik V, University Hospital of Heidelberg, Heidelberg, Germany

4. European Molecular Biology Laboratories (EMBL), Heidelberg, Germany

5. Molecular Medicine Partnership Unit (MMPU), Heidelberg, Germany

6. Karlsruhe Institute of Technology, Institute for Automation and Applied Informatics, Eggenstein-Leopoldshafen, Germany

7. Karlsruhe Institute of Technology, Institute of Organic Chemistry, Karlsruhe, Germany

Abstract

Testing the sensitivity of patient-derived tumor cells ex vivo can potentially help determining the appropriate treatment for each patient and spot the development of resistance to a given therapy. The number of cells obtainable from a biopsy is, however, often insufficient for performing ex vivo tests in conventional microtiter plates. Here, we introduce a novel Droplet-Microarray platform based on a hydrophilic-superhydrophobic patterned surface that enables screenings using only 100 cells and 30 picomoles of a drug per individual nanoliter-sized droplet. We demonstrate that the dose–response of as few as 100 primary patient-derived chronic lymphocytic leukemia (CLL) cells to anticancer compounds on the Droplet-Microarray platform resembles the dose–response obtained in 384-well plates requiring 20,000 tumor cells per experiment. The extremely miniaturized Droplet-Microarray platform thus carries great potential for ex vivo drug sensitivity and resistance tests on patient-derived tumor cells and potentially for implementing such tests in medical practice of precision medicine.

Funder

european research council

helmholtz association

EXIST Forschungtransfer

Publisher

Elsevier BV

Subject

Medical Laboratory Technology,Computer Science Applications

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