Nutritionally physiological cell culture medium and 3D culture influence breast tumour proteomics and anti-cancer drug effectiveness

Many drugs have been discontinued during phase II/III breast cancer clinical trials due to lack of clinical efficacy, indicating shortcomings in predictive value of preclinical data. Nutrient availability in the tumour cell microenvironment and the dimensionality of in vitro tumour cells likely impact on drug responsiveness. Global proteomics experiments were conducted to assess the impact of nutrient availability and dimensionality of culture. Protein set enrichment analyses identified "pathways in cancer", "focal adhesion" and "ECM receptor in interaction" related to cell culture dimensionality in MDA-MB-231 cells. In MCF-7 cells, 4 pathways were influenced by medium composition, and 2 pathways were influenced by cell culture dimensionality (2D vs. 3D). These pathways were also identified using KEGG analyses. Eight drugs were selected for investigation according to the differential expression of their putative or known target proteins. The influence of medium composition on drug effectiveness was explored using the "Melbourne Medium" (MM), developed to have nutritionally physiological levels of metabolites as compared with conventional (hyper-nutritional) cell culture medium (CM). The influence of dimensionality on drug effectiveness was also explored, using an innovative 3D viability assessment combining automated confocal microscopy and image analysis. Dimensionality of culture appeared to have a greater influence on the proteome and drug effects than variation in nutrient levels. The number of differentially expressed proteins in the different media was greater in 2D than 3D. We conclude that the risk of qualifying inactive compounds in preclinical assessment may be mitigated using additional models incorporating physiological media and 3-dimensionality.

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Publication Details

Journal
Pharmacological Research
Published
2024-11-26
DOI
https://doi.org/10.1016/j.phrs.2024.107519
Citations
4
Primary Topic
Cancer Cells and Metastasis
Type
article
Field-Weighted Citation Impact
1.13

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article

Nutritionally physiological cell culture medium and 3D culture influence breast tumour proteomics and anti-cancer drug effectiveness

Delphine Denoyer, Swati Varshney, Hyun‐Jung Cho, Nicholas A. Williamson et al.
4 citations
Pharmacological Research
Cancer Cells and Metastasis
1.13
article

Nutritionally physiological cell culture medium and 3D culture influence breast tumour proteomics and anti-cancer drug effectiveness

Delphine Denoyer, Swati Varshney, Hyun‐Jung Cho, Nicholas A. Williamson, Alastair G. Stewart, Tianhong Cheng, Paul J. McMillan, Xiaodan Zhang, Wenjia Lu, Kalyan Shobhana
article en
4 citations

Abstract

Many drugs have been discontinued during phase II/III breast cancer clinical trials due to lack of clinical efficacy, indicating shortcomings in predictive value of preclinical data. Nutrient availability in the tumour cell microenvironment and the dimensionality of in vitro tumour cells likely impact on drug responsiveness. Global proteomics experiments were conducted to assess the impact of nutrient availability and dimensionality of culture. Protein set enrichment analyses identified "pathways in cancer", "focal adhesion" and "ECM receptor in interaction" related to cell culture dimensionality in MDA-MB-231 cells. In MCF-7 cells, 4 pathways were influenced by medium composition, and 2 pathways were influenced by cell culture dimensionality (2D vs. 3D). These pathways were also identified using KEGG analyses. Eight drugs were selected for investigation according to the differential expression of their putative or known target proteins. The influence of medium composition on drug effectiveness was explored using the "Melbourne Medium" (MM), developed to have nutritionally physiological levels of metabolites as compared with conventional (hyper-nutritional) cell culture medium (CM). The influence of dimensionality on drug effectiveness was also explored, using an innovative 3D viability assessment combining automated confocal microscopy and image analysis. Dimensionality of culture appeared to have a greater influence on the proteome and drug effects than variation in nutrient levels. The number of differentially expressed proteins in the different media was greater in 2D than 3D. We conclude that the risk of qualifying inactive compounds in preclinical assessment may be mitigated using additional models incorporating physiological media and 3-dimensionality.

Pharmacological ResearchVol. 210
The University of Melbourne (AU), Victoria University (AU)
Australian Research Council, National Health and Medical Research Council
Zero hunger
Openalex Percentile: Top 18%
Cancer Cells and Metastasis
1.13
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