ESMO Congress 2023 ePoster 08

Julia Bischof, Monika Schoeppler, Bita Motamedi-Baniassad, Nicole Kerstedt, Kerstin A. David, Jonathan Woodsmith

Non-small cell lung cancer (NSCLC) poses a significant challenge due to its molecular heterogeneity. In this study, we combined our findings into the intricate gene expression profiles within NSCLC, forming the power of two cutting-edge techniques: spatial transcriptomics (ST) and bulk RNA-Seq. By integrating these approaches, we gained unprecedented insights into the tumor microenvironment, paving the way for personalized therapeutic strategies.

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• The results of integrating ST and bulk RNA-Seq as a basis of understanding gene expression profiles in NSCLC. ST allows measurement of gene expression in specific tissue regions, complementing bulk RNA-Seq data.
• While both datasets show good overall agreement, bulk RNA-Seq captures a wider spectrum of genes, providing an overview of co-expressed and pathway-relevant differentially expressed genes.
• How the combined approach refines target expression by cell type (e.g., primary tumor or immune system) and identifies gene expression variability within patients’ tumors.

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