| Autor: |
Wenbin Liu, Zhenshen Bao, Minzhen Liao, Wanqi Dong, Yanhao Huo, Xianbin Li, Peng Xu |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
Current Bioinformatics. 18 |
| ISSN: |
1574-8936 |
| Popis: |
Introduction: Angiogenesis is one of the hallmarks of cancer and can impact the processes of cancer initiation, progression, and response to therapy. Background: Anti-angiogenic therapy is thus an encouraging therapeutic option to treat cancers, but the detailed angiogenic mechanisms and the association between angiogenesis and clinical outcome remain unknown in different cancers. Method: Here, we systematically assess the impacts of 82 angiogenesis-associated genes (AAGs) in tumor tissue specificity and prognosis across 16 cancer types. Result: Results demonstrate that the expression patterns of the 82 AAGs can reflect the tumor tissue specificity, and high expressions of up-regulated AAGs are significantly associated with poor prognosis of cancer. We further define a prognostic score for predicting overall survival (OS) based on the expressions of up-regulated AAGs and confirm its reliable predictive ability. Results indicate that a low prognostic score demonstrates a superior OS and vice versa. Conclusion: The results of this study will contribute to the understanding of different tumor angiogenesis mechanisms in various tissues and cancer-personalized anti-angiogenic treatment. The code of our analysis can be accessed at |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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