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Kunsong Li



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    P33 - Pathology - Immunotherapy Biomarker (ID 101)

    • 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
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      P33.05 - Identifying Biomarkers of Immune Signature Related to Smoking and Overall Survival in NSCLC on Gene Co-Expression Network (ID 1226)

      00:00 - 00:00  |  Presenting Author(s): Kunsong Li

      • Abstract
      • Slides

      Introduction

      With the increasing incidence and mortality rates of cancer, lung cancer, a common but risky disease, has been the leading cause of death since 2010. Among them, non-small cell lung cancer (NSCLC) closely accounts for 85%. Cigarette smoking, as one of the high incidence factors of lung cancer, exhibits diverse effects on different histological types of lung cancer. The findings that cigarette smoking alters the immune system responses inspired us to explore the association between smoking-related gene module and immune-response signatures in lung adenocarcinoma (LAD) and lung squamous cell carcinoma (LSC).

      Methods

      Based on LAD and LSC mRNA expression microarray from GEO (GSE13213, GSE4573), the gene co-expression network was constructed with weight gene co-expression network analysis (WGCNA). The immune genes that had significantly related to overall survival were screened from the smoking module, and the prognostic value of immune genes in the smoking module was validated in another independent data set (GSE37745).

      Results

      It was found that a smoking related module in LSC had a strong association with the immune gene set (P = 0.0001). KEGG and GO enrichment analysis also exhibited that immunity-related pathways and functions were enriched only in LSC. Moreover, high expression of nine immune genes (CD27, CD38, CD79A, MZB1, IGHM, IGKC, IGLL3P, GUSBP11, and IGHD) from smoking module in LSC showed favorable prognosis with P-value < 0.05 and HR value as 0.51, 0.48, 0.50, 0.56, 0.61, 0.58, 0.52, 0.60 as well as 0.50, respectively. The prognosis value of six genes (CD27, CD38, GUSBP11, IGKC, IGLL3P, and IGHD) was validated in an independent LSC data cohort.

      Conclusion

      Our study revealed that, in LSC, smoking might trigger a more severe immune response, compared to LAD. And there were six immune genes related to prognosis being discovered, which might offer some new options for immunotherapy.

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