2023 World Conference on Lung Cancer (Posters)-EP06.05. Twelve Cell Death Patterns-Related Classification of the Immune Microenvironment and Prognosis Prediction of LUSC

EP06.05. Twelve Cell Death Patterns-Related Classification of the Immune Microenvironment and Prognosis Prediction of LUSC - PDF(Slides)

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In this study, Xiaorong Dong from the Cancer Center at Union Hospital in Wuhan, China, presents a classification system for immune microenvironment and prognosis prediction of lung squamous cell carcinoma (LUSC). The author identifies twelve different types of cell death patterns related to the immune microenvironment, including apoptosis, necroptosis, pyroptosis, ferroptosis, croposis, entotic cell death, netotic cell death, parthanatos, lysosome-dependent cell death, autophagy-dependent cell death, alkaliptosis, and oxeiptosi. The author also identifies sixteen important genes associated with LUSC, including STK24, CHEK2, CSF2, RBCK1, GAB2, ATP6V1B1, STXBP1, LAMP2, FGA, SERPINE1, PSAP, LIPT1, GPSM1, IL1B, TRIM5, and PTH. The evaluation of these cell death patterns can enhance the understanding of immune infiltration and mutation characteristics in LUSC. Additionally, it can help identify patients who will benefit from immunotherapy and predict their future survival. The author uses the XGBoost algorithm for analysis and concludes by emphasizing the clinical significance of this classification system in guiding treatment decisions for LUSC patients.

Asset Subtitle

Xiaorong Dong

Meta Tag

Speaker Xiaorong Dong

Topic Pathology & Biomarkers

Keywords

Xiaorong Dong

LUSC

cell death patterns

immune microenvironment

prognosis prediction

important genes

immunotherapy

XGBoost algorithm

clinical significance

treatment decisions