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

被引:16
|
作者
Hou, Yue [1 ,2 ,3 ,4 ]
Qiao, Sijing [1 ,2 ,3 ,4 ]
Li, Miao [1 ,2 ,3 ,4 ]
Han, Xue [1 ,2 ,3 ,4 ]
Wei, Xuan [1 ,2 ,3 ,4 ]
Pang, Yingxin [1 ,2 ,3 ,4 ]
Mao, Hongluan [1 ,2 ,3 ,4 ]
机构
[1] Qilu Hosp Shandong Univ, Dept Obstet & Gynecol, Jinan, Shandong, Peoples R China
[2] Qilu Hosp Shandong Univ, Div Gynecol Oncol, Jinan, Shandong, Peoples R China
[3] Qilu Hosp Shandong Univ, Key Lab Gynecol Oncol Shandong Prov, Jinan, Shandong, Peoples R China
[4] Qilu Hosp Shandong Univ, Shandong Engn Lab Urogynecol, Jinan, Shandong, Peoples R China
关键词
tertiary lymphoid structures; gene signature; prognosis; immunotherapy; ovarian cancer; T-CELL INFILTRATION; BLOCKADE; THERAPY; CXCL10; TISSUE;
D O I
10.3389/fgene.2022.1090640
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
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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页数:13
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