Abstract 6775: 3D culture aggregation morphology depends on cell phenotype and gene expression profiles in lung cancer

Abstract Background: Three-dimensional (3D) cell culture allows for the reproduction of tissue structure and function in a state more akin to the in vivo environment compared to two-dimensional (2D) cell culture. It is established that 3D culture more faithfully replicates cell morphology, differentiation, proliferation, gene and protein expression, and responsiveness to stimulation, as well as drug metabolism. Focusing on the observation that lung cancer cell lines exhibit different clustering morphologies in 3D cell culture, we conducted a comparative study on the relationship between these clustering morphologies and the characteristics of the lung cancer cell lines. Methods: We cultured 30 lung cancer cell lines using 3D culture plate, and classified the types of cell clustering morphologies formed. We evaluated the molecular and cellular biology characteristics of all cell lines. Additionally, comprehensive gene expression analysis using RNA sequencing was performed on the 30 3D-cultured cell samples, and the characteristics of gene expression between different clustering types were compared. Results: The 3D culture aggregation morphology of 30 lung cancer cell lines were classified into three types (monolayer sheet, NOS, spheroid). Monolayer sheet-type cells exhibited higher proliferation, migration, and invasion capabilities compared to spheroid-type cells. In the transcriptomic bioinformatics analysis of the acquired gene expression data, GSEA analysis using Hallmark gene sets showed that the enrichment of epithelial-mesenchymal transition (EMT) and cancer metastasis-related genes in the monolayer type cells significantly compared to the spheroid type cells. Conversely, cell adhesion and intercellular binding-related gene sets were highly enriched in the spheroid type cells. Conclusion: 3D culture aggregation morphology represents phenotypic properties and transcriptomic profiles in non-small cell lung cancer cells. Citation Format: Naohiro Hayashi, Shimpei Tsudaka, Ken Suzawa, Tomoaki Higashihara, Yin Min Thu, Atsushi Matsuoka, Daisuke Mizuno, Ryo Yoshichika, Fumiaki Mukohara, Mao Yoshikawa, Kazuhiko Shien, Hiromasa Yamamoto, Shinichi Toyooka. 3D culture aggregation morphology depends on cell phenotype and gene expression profiles in lung cancer abstract. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts) ; 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84 (6Suppl): Abstract nr 6775.