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2023 World Conference on Lung Cancer (Posters)
P2.22. Single-nuclei RNA Sequencing Reveals Hetero ...
P2.22. Single-nuclei RNA Sequencing Reveals Heterogeneity and Malignancy in Pulmonary Sarcomatoid Carcinoma - PDF(Slides)
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Researchers from Shanghai Pulmonary Hospital have used single-nuclei RNA sequencing (snRNA-seq) to study the heterogeneity and malignancy of pulmonary sarcomatoid carcinoma (PSC). PSC is a rare and aggressive subtype of non-small cell lung cancer (NSCLC) with sarcoma-like features. Due to its low incidence rate, little is known about the specific cell types and heterogeneity of PSC. In this study, the researchers analyzed frozen, untreated surgical tumor tissues, including PSC as well as other subtypes of NSCLC. <br /><br />Using snRNA-seq, the researchers were able to generate a high-resolution transcriptional map and gain in-depth knowledge of the tumor heterogeneity in PSC. They identified 11 different cancer cell states, including 'Plasticity', 'NOD-like receptor (NLR)', 'Proliferation', 'Matrix', 'Inflammation', 'Transitional', 'MAPK', 'Alveolar', 'Rap1', 'Glandular', and 'Ciliated'. They also defined seven intratumor meta-programs, which are sets of co-expressed genes associated with specific cellular functions. Notably, Meta-program 3 and Meta-program 7 were found to be associated with survival outcomes in The Cancer Genome Atlas (TCGA) data.<br /><br />This study provides valuable insights into the heterogeneity and malignancy of PSC using snRNA-seq technology. By characterizing the different cancer cell states and meta-programs, the researchers have created a more comprehensive understanding of PSC. These findings may have implications for the development of targeted therapies and personalized treatment strategies for PSC patients.
Asset Subtitle
Fei Zhou
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Speaker
Fei Zhou
Topic
Other Thoracic Malignancy
Keywords
Shanghai Pulmonary Hospital
single-nuclei RNA sequencing
snRNA-seq
pulmonary sarcomatoid carcinoma
PSC
non-small cell lung cancer
NSCLC
tumor heterogeneity
cancer cell states
intratumor meta-programs
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