2023 World Conference on Lung Cancer (Posters)-EP06.03. Elucidating Tumor Heterogeneity from Spatially Resolved Transcriptomics in ALK-Rearranged Non-small Cell Lung Cancer

EP06.03. Elucidating Tumor Heterogeneity from Spatially Resolved Transcriptomics in ALK-Rearranged Non-small Cell Lung Cancer - PDF(Abstract)

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This presentation discusses a study on tumor heterogeneity in ALK-rearranged non-small cell lung cancer (NSCLC) using spatial transcriptomics analysis. The researchers aimed to understand the differentiation characteristics of tumors showing heterogeneity in H&E staining. Ten specimens from patients with ALK-rearranged NSCLC were analyzed using spatial transcriptomics, and dimensionality reduction and clustering techniques were applied to the data.<br /><br />The results showed that histologically distinct regions could be isolated and grouped into two subregions based on their advanced or less advanced tumor characteristics. Advanced tumors expressed collagen-related genes and epithelial to mesenchymal transition (EMT) markers, whereas immune cell markers were found in the area between advanced and less advanced regions. Less advanced tumors expressed club cells, goblet cells, and normal cell secretion-related genes. The trajectory analysis revealed that tumors progress from the less advanced subregion containing club and goblet cell types to the more advanced subregion with EMT marker genes.<br /><br />The study provides insights into the intratumoral heterogeneity in ALK-rearranged lung cancer and how these tumors progress within the tumor. The findings suggest that EMT markers are associated with advanced ALK-positive tumor regions. The researchers believe that further research connecting these findings to clinical conditions could lead to improved strategies for overcoming resistance to targeted therapies.<br /><br />This study was supported by grants from the National Research Foundation of Korea. The keywords associated with this research include ALK-rearranged NSCLC, spatial transcriptomics, and heterogeneity. The presentation falls under the Pathology and Biomarkers track of the conference and is categorized as a regular abstract.

Asset Subtitle

JungHan Oh

Meta Tag

Speaker JungHan Oh

Topic Pathology & Biomarkers: Genetic Biomarkers

Keywords

tumor heterogeneity

ALK-rearranged NSCLC

non-small cell lung cancer

spatial transcriptomics analysis

differentiation characteristics

H&E staining

dimensionality reduction

clustering techniques

histologically distinct regions

advanced tumor characteristics