Author of

• 34826

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  P38 - Pathology - Pathology/Staging (ID 108)

  • Event: WCLC 2020
  • Type: Posters
  • Track: Pathology, Molecular Pathology and Diagnostic Biomarkers
  • Presentations: 1
  • Moderators:
  • Coordinates: 1/28/2021, 00:00 - 00:00, ePoster Hall

  • 34845

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    P38.15 - Interactive Genes Between Tumor Immune Microenvironment and Epithelial-Mesenchymal Transition During Lung Cancer Metastasis (ID 1199)

    00:00 - 00:00  |  Presenting Author(s): Jie Ma
    • Abstract
    • Slides

    Introduction
    

    Both tumor immune microenvironment and epithelial-mesenchymal transition play important roles during tumor metastasis. Further systematically studying their relationship could help us understand the metastatic process in lung cancer.

    Methods
    

    Leukocyte fraction in the tumor immune microenvironment and epithelial-mesenchymal transition score was compared among the lung primary and metastatic tumors. Further correlation analysis was conducted between the leukocyte fraction and the epithelial-mesenchymal transition score. The significant pairs were further investigated by physical interaction network analysis. Hub genes underlying the interaction were extracted.

    Results
    

    In comparison to lung primary tumors, brain metastases contained significantly lower total leukocytes, total macrophage cells, and total CD4/CD8 cells. The adrenal gland metastases contained significantly lower total macrophage cells, higher total dendric cells, and lower total CD4/CD8 cells. The adrenal gland and brain metastases of lung cancer were prone to be epithelium-like. Resting mast cells and macrophage M1 cells were significantly correlated with the mesenchymal state, and regulatory T cells and plasma cells were significantly correlated with the epithelial state. A mesenchymal signature gene, PTPRC, and plasma signature gene, PDPK1, were identified as the most significantly interacted genes to the regulatory T cells and mesenchymal tissue, respectively. They had also been validated in another independent dataset. Notably, univariate Cox regression analysis indicated that higher expression of PTPRC and PDPK1 in the tumor tissues could bring significant survival benefit with hazard ratio=0.76 (CI, 0.67 - 0.86; p-value = 1.4e-05) and 0.44 (CI, 0.37 - 0.3; p-value < 1e-16), respectively.

    Conclusion
    

    This study provided a novel way to identify the interactive genes between the immune microenvironment and epithelial-mesenchymal transition, which could be used to identify, prevent or treat metastasis of lung cancer.

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