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Functional Precision Oncology Approach Using Nanoliter Droplet Array For Drug Sensitivity Testing In Lung Cancer.

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Functional Precision Oncology Approach Using Nanoliter Droplet Array For Drug Sensitivity Testing In Lung Cancer.

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Functional Precision Oncology Approach Using Nanoliter Droplet Array for Drug Sensitivity Testing in Lung Cancer.

Maryam Salarian¹, Vicky L Schiling¹, Thomas Muley^2,3

¹Institute of Biological and Chemical Systems-Functional Molecular Systems (IBCS-FMS), Karlsruhe Institute of Technology (KIT), Eggenstein-Leopoldshafen, Germany.

Advanced Healthcare Materials

|May 15, 2026

View abstract on PubMed

Summary

This summary is machine-generated.

A new miniaturized drug sensitivity and resistance testing (DSRT) workflow uses nanoliter volumes on a Droplet Microarray (DMA) chip. This approach enables high-throughput functional drug testing on limited patient tumor cells, advancing precision oncology.

Keywords:

droplet microarray drug sensitivity and resistance test (DSRT)functional precision oncology lung cancer

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Area of Science:

Oncology
Biotechnology
Microfluidics

Background:

Functional precision oncology personalizes cancer therapy using patient-derived tumor cells.
Conventional drug sensitivity and resistance testing (DSRT) requires large cell numbers, limiting its use with small biopsy samples.

Purpose of the Study:

To develop a miniaturized DSRT workflow for high-throughput drug sensitivity screening using limited patient tumor cells.
To assess the feasibility of DSRT on a Droplet Microarray (DMA) chip with nanoliter volumes.

Main Methods:

Developed a miniaturized DSRT workflow utilizing a Droplet Microarray (DMA) chip with 672 spots for nanoliter-volume screening.
Tested lung cancer cells from surgical specimens against 12 compounds across multiple concentrations and replicates, using approximately 120,000 cells.

Main Results:

Generated drug-specific dose-response profiles and IC50 values from limited clinical samples.
Demonstrated consistent drug response assay performance across spatially distinct regions of the same tumor.
Showcased the feasibility of DSRT on the DMA platform with significantly reduced cell input.

Conclusions:

DSRT on the DMA platform is effective with limited patient-derived tumor cells.
This miniaturized approach supports functional drug testing when tissue availability is constrained, aiding personalized cancer therapy.