Intra-tumoral angiogenesis correlates with immune features and prognosis in glioma

Qing Zhang, Yao Guo, Wan-Lin Zhang, H. Lian, Natasha Iranzad, Endi Wang, Ying-Chun Li, Hai Tong, Le-Yao Li, Ling-Yun Dong, Lian-He Yang, Shuang Ma
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Abstract

Gliomas are the most common malignant tumor in the brain. As with other tumors, the progression of glioma depends on intra-tumoral angiogenesis. However, the effect of angiogenesis on gliomas is still not fully understood. In this study, we developed an angiogenesis pathway score using Gene Set Variation Analysis (GSAV) in R to assess the status of intra-glioma angiogenesis in The Cancer Genome Atlas (TCGA), Chinese Glioma Genome Atlas (CGGA mRNAseq_325, CGGA mRNA-array), and GSE16011 datasets. We found that the angiogenesis pathway score not only accurately predicted the prognosis of glioma patients, but also accurately distinguished the malignant phenotype and immune characteristics of gliomas. In addition, as an independent prognostic factor, the score could predict glioma sensitivity to radiotherapy and chemotherapy. In summary, we used the angiogenesis pathway score to reveal the relationship between glioma angiogenesis and the malignant phenotype, immune characteristics, and prognosis of glioma.
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胶质瘤的肿瘤内血管生成与免疫特征和预后相关
胶质瘤是脑部最常见的恶性肿瘤。与其他肿瘤一样,胶质瘤的进展依赖于肿瘤内的血管生成。然而,血管生成对胶质瘤的影响仍未完全了解。在这项研究中,我们使用基因集变异分析(GSAV)在R中建立了血管生成途径评分,以评估肿瘤基因组图谱(TCGA)、中国胶质瘤基因组图谱(CGGA mRNAseq_325, CGGA mRNA-array)和GSE16011数据集中胶质瘤内血管生成的状态。我们发现血管生成通路评分不仅可以准确预测胶质瘤患者的预后,还可以准确区分胶质瘤的恶性表型和免疫特征。此外,作为一个独立的预后因素,评分可以预测胶质瘤对放疗和化疗的敏感性。综上所述,我们使用血管生成通路评分来揭示胶质瘤血管生成与胶质瘤的恶性表型、免疫特征和预后之间的关系。
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