Unknown

Dataset Information

0

High-throughput screening reveals higher synergistic effect of MEK inhibitor combinations in colon cancer spheroids.


ABSTRACT: Drug combinations have been proposed to combat drug resistance, but putative treatments are challenged by low bench-to-bed translational efficiency. To explore the effect of cell culture format and readout methods on identification of synergistic drug combinations in vitro, we studied response to 21 clinically relevant drug combinations in standard planar (2D) layouts and physiologically more relevant spheroid (3D) cultures of HCT-116, HT-29 and SW-620 cells. By assessing changes in viability, confluency and spheroid size, we were able to identify readout- and culture format-independent synergies, as well as synergies specific to either culture format or readout method. In particular, we found that spheroids, compared to 2D cultures, were generally both more sensitive and showed greater synergistic response to combinations involving a MEK inhibitor. These results further shed light on the importance of including more complex culture models in order to increase the efficiency of drug discovery pipelines.

SUBMITTER: Folkesson E 

PROVIDER: S-EPMC7360566 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature

altmetric image

Publications

High-throughput screening reveals higher synergistic effect of MEK inhibitor combinations in colon cancer spheroids.

Folkesson Evelina E   Niederdorfer Barbara B   Nakstad Vu To VT   Thommesen Liv L   Klinkenberg Geir G   Lægreid Astrid A   Flobak Åsmund Å  

Scientific reports 20200714 1


Drug combinations have been proposed to combat drug resistance, but putative treatments are challenged by low bench-to-bed translational efficiency. To explore the effect of cell culture format and readout methods on identification of synergistic drug combinations in vitro, we studied response to 21 clinically relevant drug combinations in standard planar (2D) layouts and physiologically more relevant spheroid (3D) cultures of HCT-116, HT-29 and SW-620 cells. By assessing changes in viability, c  ...[more]

Similar Datasets

| S-EPMC4585899 | biostudies-literature
| S-EPMC6364417 | biostudies-literature
| S-EPMC5457712 | biostudies-literature
| S-EPMC6317944 | biostudies-literature
| S-EPMC5692528 | biostudies-literature
| S-EPMC8128935 | biostudies-literature
| S-EPMC3147639 | biostudies-literature
| S-EPMC8732282 | biostudies-literature
2018-04-05 | GSE111005 | GEO
| S-EPMC5625556 | biostudies-literature