Gene Expression Signature of BRAF Inhibitor Resistant Melanoma Spheroids

Viktoria Koroknai1,2, Vikas Patel1,3, István Szász1,2

  • 1Public Health Research Institute, University of Debrecen, Kassai St 26/B, Debrecen, H-4028, Hungary.

Insights

Three-dimensional (3D) cell cultures better mimic in vivo conditions than 2D cultures for studying BRAF-mutant melanoma drug resistance. Gene expression analysis revealed significant differences, offering insights into acquired resistance mechanisms.

Area of Science:

  • Oncology
  • Molecular Biology
  • Cell Biology

Background:

  • In vitro cell cultures are crucial for understanding drug resistance mechanisms.
  • Traditional 2D cultures have limitations in mimicking in vivo tumor microenvironments.
  • 3D cell culture systems, like spheroids, offer a more physiologically relevant model.

Purpose of the Study:

  • To compare the gene expression signatures of 2D and 3D cultured BRAFV600E mutant melanoma cell lines.
  • To identify molecular differences associated with drug resistance in different culture models.
  • To elucidate pathways involved in acquired resistance in melanoma.

Main Methods:

  • Development of BRAF-drug resistant melanoma cell lines in both 2D and 3D cultures.
  • Gene expression profiling using Affymetrix Human Gene 1.0 ST arrays.
  • Pathway analysis to identify significantly altered biological processes.

Main Results:

  • 1049 differentially expressed genes identified between drug-sensitive cells in 2D vs. 3D cultures.
  • Differentially expressed genes were primarily associated with cell cycle, p53, and cancer pathways.
  • Fewer upregulated genes (72) were observed in resistant 3D cultures compared to 2D, linked to cell adhesion and IGF1R signaling.

Conclusions:

  • Gene expression patterns differ significantly between 2D and 3D melanoma cultures, impacting drug resistance studies.
  • 3D models reveal distinct molecular alterations, including those related to anoikis resistance and cell cycle regulation.
  • Understanding these gene expression differences is vital for developing effective melanoma treatments and overcoming acquired resistance.

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