Frontiers in Genetics (Jan 2023)

The gene signature of tertiary lymphoid structures within ovarian cancer predicts the prognosis and immunotherapy benefit

  • Yue Hou,
  • Yue Hou,
  • Yue Hou,
  • Yue Hou,
  • Sijing Qiao,
  • Sijing Qiao,
  • Sijing Qiao,
  • Sijing Qiao,
  • Miao Li,
  • Miao Li,
  • Miao Li,
  • Miao Li,
  • Xue Han,
  • Xue Han,
  • Xue Han,
  • Xue Han,
  • Xuan Wei,
  • Xuan Wei,
  • Xuan Wei,
  • Xuan Wei,
  • Yingxin Pang,
  • Yingxin Pang,
  • Yingxin Pang,
  • Yingxin Pang,
  • Hongluan Mao,
  • Hongluan Mao,
  • Hongluan Mao,
  • Hongluan Mao

DOI
https://doi.org/10.3389/fgene.2022.1090640
Journal volume & issue
Vol. 13

Abstract

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Ovarian cancer (OC) has the lowest survival rate among gynecologic malignancies. Ectopic lymphocyte aggregates, namely tertiary lymphoid structures (TLSs), have been reported as positive biomarkers for tumor prognosis. However, the related gene signature of tertiary lymphoid structure in ovarian cancer was less understood. Therefore, this study first exhibited the organizational patterns of tertiary lymphoid structure by H&E staining and immunohistochemistry (IHC), and confirmed the improved survival values of tertiary lymphoid structure and quantified tumor-infiltrating lymphocytes (CD20+ B cells and CD8+ T cells) in ovarian cancer patients. Secondly, we collected the genes involved in tertiary lymphoid structure from databases. By the univariate regression analysis, the tertiary lymphoid structure gene signature (CETP, CCR7, SELL, LAMP3, CCL19, CXCL9, CXCL10, CXCL11, and CXCL13) with prognostic value, characteristically of ovarian cancer, was constructed in the TCGA dataset and validated in the GSE140082 dataset. Thirdly, by performing CIBERSORT and Tumor Immune Dysfunction and Exclusion (TIDE) analysis, we found that the high expression of this gene signature was positively correlated with developed immune infiltration and reduced immune escape. The improved IPS score and application in the IMvigor210 dataset received PD-L1 proved the predictive value of immunotherapy for this gene signature. Furthermore, this signature showed a better correlation between tumor mutation burden and classical checkpoint genes. In conclusion, Tertiary lymphoid structure plays important role in tumor immunity and the gene signature can be evaluated as a biomarker for predicting prognosis and guiding immunotherapy in ovarian cancer.

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